https://personal.ntu.edu.sg/elpwang//Image/books.gifSelected Publications (Please download)

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Selected Journal Papers

·       Ziqing Deng; Xiaofang Chen; Lipo Wang; Lihui Cen; Yalin Wang; Shouli Yu, "Progressive anchoring-driven consistent dual reconstruction for cross-domain open-mode process monitoring," Expert Systems with Applications, vol.319, 132035, 2026. [paper]

·       Yueming Yin, Nithin Pathoor, Kamal Kant Sharma, Shiwen Zhu, Iong Ying Loh, Yan Shan Ang, Shao Ren Sim, Lanry Lin Yue Yung, Thorsten Wohland, Lipo Wang, "Discriminating Single-Molecule Binding Event from Diffraction-Limited Fluorescence," Nature Communications, 16:9844, 2025. [paper] [Supplementary_Material]

·       Zikai Yao, Qiang Liu, Zhangzhen Zhao, Yuliang Qin, Jinglong Zhu, Tianzhi Xia, Bo Li, Lipo Wang, "Night-Time Traffic Light Recognition Based on Enhancement-Guided Object Detection", IEEE Transactions on Systems Man Cybernetics-Systems, vol.55, no.6, June, pp.4410-4422, 2025. [pdf file]

·       Xiaodong Li, Zhi Xiong, Lipo Wang, Yan Cui, "An Inertial Odometry and Enhanced Occupancy Grid Inertial SLAM for Legged Robots", IEEE Internet of Things Journal, vol. 12, no.17, pp. 35406-35420, 2025. [pdf file]

·       Yueming Yin, Afu Fu, and Lipo Wang, "Gaps between medical biology and AI drug discovery", Drug Discovery Today, Volume 30, Issue 12, December 2025, 104512. [paper] [Supplementary_Material]

·       Wang, Y.; Deng, Y.; Zheng, Y.; Chattopadhyay, P.; Wang, L. Vision Transformers for Image Classification: A Comparative Survey. Technologies, 2025, 13, 32. https://doi.org/10.3390/technologies13010032 [pdf file]

·       Basim Azam; Pubudu Sanjeewani; Brijesh Verma; Ashfaqur Rahman; Lipo Wang, "Unified Graph-Based Framework for Visual Explainability in Convolutional Neural Networks", Information Sciences, accepted, 2025. [pdf file]

·       Basim Azam, Deepthi Kuttichira, Pubudu Sanjeewani, Brijesh Verma, Ashfaqur Rahman, Lipo Wang, "A Novel Non-Iterative Training Method for CNN Classifiers Using Gram-Schmidt Process", Neural Processing Letters, 57:27, 2025. [pdf file]

·       Ning Xu; Wensong Wang; Jan Fulneček; Ondřej Kabot; Stanislav Mišák; Lipo Wang; Yuanjin Zheng; Hoay Beng Gooi, "TBMF Framework: A Transformer-Based Multilevel Filtering Framework for PD Detection," IEEE Transactions on Industrial Electronics, vol. 71, no. 4, pp. 4098-4107, 2024. https://doi.org/10.1109/tie.2023.3274881 [pdf file]

·       B. Azam, D. Kuttichira, B. Verma, A. Rahman and L. Wang, "Explainable Image Recognition with Graph-based Feature Extraction," IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3475380. [pdf file]

·       Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, P.N. Suganthan, Olga Sourina, “TFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition,” Advanced Engineering Informatics, Volume 62, Part A, 2024, 102575, https://www-sciencedirect-com.remotexs.ntu.edu.sg/science/article/pii/S1474034624002234 [pdf file]

·       R. Liu, Q. Chang, Y. Wang and Lipo Wang, "Feature Entropy Adaptive Network for Weak Magnetic Signal Classification," IEEE Sensors Journal, vol. 24, no. 2, pp. 1322-1332, 2024, doi: 10.1109/JSEN.2023.3326138. [pdf file]

·       Somnath Sendhil Kumar, Binit Singh, Pratik Chattopadhyay, Agrya Halder, Lipo Wang, "BGaitR-Net: An Effective Neural Model for Occlusion Reconstruction in Gait Sequences by Exploiting the Key Pose Information", Expert Systems with Applications, Volume 246, 2024, 123181; https://doi.org/10.1016/j.eswa.2024.123181. [pdf file]

·       Leonard Matheus Wastupranata, Seong G. Kong, and Lipo Wang, “Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey,” Electronics 2024, 13(13), 2579; https://doi.org/10.3390/electronics13132579 [pdf file]

·       Ruilin Li, Ruobin Gao, PN Suganthan, Jian Cui, Olga Sourina, Lipo Wang, " A spectral-ensemble deep random vector functional link network for passive brain–computer interface", Expert Systems with Applications, Volume 227, 120279, 2023; https://doi.org/10.1016/j.eswa.2024.123181. [pdf file]

·       Ruilin Li, Ruobin Gao, Liqiang Yuan, PN Suganthan, Lipo Wang, Olga Sourina, "An enhanced ensemble deep random vector functional link network for driver fatigue recognition," Engineering Applications of Artificial Intelligence, Volume 123, pp. 106237, 2023. [pdf file]

·       Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan, Lipo Wang, Transfer‑recursive‑ensemble learning for multi‑day COVID‑19 prediction in India using recurrent neural networks, Scientific Reports, (2023) 13:6795, https://doi.org/10.1038/s41598-023-31737-y [pdf file]

·       Naela Rizvi, Dharavath Ramesh, Lipo Wang, and Annappa B, "A Workflow Scheduling Approach with Modified Fuzzy Adaptive Genetic Algorithm in IaaS Clouds", IEEE Transactions on Services Computing, vol.16, no.2, pp.872-885, 2023. [pdf file]

·       Q. Chang, R. Liu, Y. Wang and Lipo Wang, "High-Precision Magnetic Field Reconstruction and Anomaly Classification," IEEE Sensors Journal, vol. 23, no. 17, pp. 19163-19175, 2023, doi: 10.1109/JSEN.2023.3295363. [pdf file]

·       Kuiyu Chen, Lipo Wang, Jingyi Zhang, Shuning Zhang, "Semantic Learning for Analysis of Overlapping LPI Radar Signals," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-15, 2023, doi: 10.1109/TIM.2023.3242013. [pdf file]

·       Ning Xu; Hoay Beng Gooi; Lipo Wang; Yuanjin Zheng; Wensong Wang; Jiawei Yang, "Loop Optimization Noise-Reduced LSTM Based Classifier for PD Detection", IEEE Transactions on Industry Applications, vol.59, no.1, pp. 392-402, 2023. https://doi.org/10.1109/TIA.2022.3215642  [pdf file]

·       Zhang, Zhengyuan; Jin, Haoran; Zheng, Zesheng; Sharma, Arunima; Wang, Lipo; Pramanik, Manojit; Zheng, Yuanjin,  "Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution," IEEE Transactions on Medical Imaging, vol.41, no.12, pp.3636-3648, 2022. [pdf file]

·       Ruilin Li, Lipo Wang, PN Suganthan and O. Sourina, "Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics," IEEE Journal of Biomedical and Health Informatics, vol.23, no.10, pp. 4996-5003, 2022. [pdf file]

·       Ruilin Li, Lipo P. Wang, O. Sourina, “Subject Matching for Cross-Subject EEG-based Recognition of Driver States Related to Situation Awareness”, Methods, vol.202, pp.136-143, 2022. [pdf file]

·       Yuan Liu, Leonard Wei Leon Yip, Yuanjin Zheng, Lipo Wang, "Glaucoma screening using an attention-guided stereo ensemble network," Methods, vol.202, 2022, Pages 14-21. [pdf file]

·       Starczewski, Artur; Scherer, Magdalena M.; Ksiazek, Wojciech; Debski, Maciej; Wang, Lipo; "A NOVEL GRID-BASED CLUSTERING ALGORITHM," Journal of Artificial Intelligence and Soft Computing Research, vol.11, no.4, pp.319-330, 2021. [pdf file]

·       Ayush Agarwal, Pratik Chattopadhyay, Lipo P. Wang, "Privacy Preservation through Facial De-identification with Simultaneous Emotion Preservation," Signal, Image and Video Processing, vol.15 (5), 951-958, 2021. [pdf file]

·       Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi, Pratik Chattopadhyay, Lipo P. Wang, "A Robust and Efficient Image De-fencing Approach using Conditional Generative Adversarial Networks," Signal, Image and Video Processing, vol.15 (2), pp.297-305, 2021. [pdf file]

·       Tomasz Gałkowski, Adam Krzyżak, Zofia Patora-Wysocka, Zbigniew Filutowicz, Lipo Wang, "A New Approach to Detection of Changes in Multidimensional Patterns-Part II," Journal of Artificial Intelligence and Soft Computing Research, vol.11, pp.217-227, 2021. [pdf file]

·       Yaoli Wang; Lipo Wang, Fangjun Yang, Wenxia Di, Qing Chang, “Advantages of direct input-to-output connections in neural networks: the Elman network for stock index forecasting,” Information Sciences, vol.547, pp.1066-1079, 8 February 2021. [pdf file]

·       Satya P. Singh, Lipo Wang, Sukrit Gupta, Balázs Gulyás, and Parasuraman Padmanabhan, “Shallow 3D CNN for Detecting Acute Brain Hemorrhage from Medical Imaging Sensors,” IEEE Sensors Journal, 2020. [pdf file]

·       Yaoli Wang, Xiaohui Liu, Maozhen Li, Wenxia Di, Lipo Wang, "Deep convolution and correlated manifold embedded distribution alignment for forest fire smoke prediction," Computing and Informatics, vol.39, no.1-2, 2020. [pdf file]

·       Satya P. Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, and Balázs Gulyás, "3D Deep Learning on Medical Images: A Review", Sensors, vol.20, 5097, 2020. doi:10.3390/s20185097 (ESI Highly Cited Paper 2022, top 1% of the academic field of Chemistry) [pdf file]

·       Logesh Ravi, Malathi Devarajan, Vijayakumar V, Arun Kumar Sangaiah, Lipo Wang, Sasikumar A & V Subramaniyaswamy “An intelligent location recommender system utilising multi-agent induced cognitive behavioural model,” Enterprise Information Systems, 2020. DOI: 10.1080/17517575.2020.1812003 [pdf file]

·       Nirbhay Kumar Tagore, Pratik Chattopadhyay, Lipo Wang, “T-MAN: A Neural Ensemble Approach for Person Re-Identification using Spatio-temporal Information", Multimedia Tools and Applications, August, 2020. [pdf file]

·       Piotr Duda, Krzysztof Przybyszewski and Lipo Wang, "A novel drift detection algorithm based on features' importance analysis in a data streams environment," Journal of Artificial Intelligence and Soft Computing Research, vol.10, no.4, pp.287-298, 2020. [pdf file]

·       Yaoli Wang, Yujun Duan, Wenxia Di, Qing Chang and Lipo Wang, “Optimization of Submodularity and BBO-Based Routing Protocol for Wireless Sensor Deployment”, Sensors, 2020, 20, 1286; doi:10.3390/s20051286. [pdf file]

·       Piotr Duda, Maciej Jaworski , Andrzej Cader and Lipo Wang, "On Training Deep Neural Networks Using a Streaming Approach," Journal of Artificial Intelligence and Soft Computing Research, vol.10, pp.15-26, 2020. [pdf file]

·       Zirui Lan, Yisi Liu, Olga Sourina, Lipo Wang, Reinhold Scherer, Gernot Müller-Putz, "SAFE: An EEG dataset for stable affective feature selection", Advanced Engineering Informatics, vol.44, April, 101047, 2020. [pdf file]

·       Yaoli Wang, Lipo Wang, Qing Chang, and Chunxia Yang, “Effects of Direct-Input-Output-Connections on Multilayer Perceptron Neural Networks for Time Series Prediction”, Soft Computing, vol.24, pp.4729-4738, 2020. [pdf file]

·       Z. Lan, O. Sourina, L.P. Wang, R. Scherer, G. Müller-Putz, "Domain Adaptation Techniques for EEG-based Emotion Recognition: A Comparative Study on Two Public Datasets", IEEE Trans. Cognitive and Developmental Systems, vol.11, no.1, pp.85-93, March, 2019. [pdf file]

·       Justin Ker, Yeqi Bai, Hwei Yee Lee, Jai Rao, and L. P. Wang, "Automated brain histology classification using machine learning," Journal of Clinical Neuroscience, vol.66, pp. 239–245, 2019. [pdf file]

·       Justin Ker, Satya P. Singh, Yeqi Bai, Jai Rao, Tchoyoson Lim and L. P. Wang, "Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans," Sensors, 2019, 19, 2167; doi:10.3390/s19092167 [pdf file]

·       P. Chattopadhyay, L.P. Wang, and Y.-P. Tan, "Scenario-Based Insider Threat Detection from Cyber Activities," IEEE Trans. Computational Social Systems, vol.5, pp. 660-675, 2018. [pdf file]

·       W. L. Lim, O. Sourina and L. P. Wang, “STEW: Simultaneous Task EEG Workload Dataset”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.26, no.11, pp.2106-2114, 2018. [pdf file]

·       Y.L. Arnatovich, L.P. Wang, Minh Ngoc Ngo, and Charlie Soh, "A Comparison of Reverse Engineering Tools via Program Behaviours Validation Based on Intermediate Languages Transformation," IEEE Access, vol.6, pp.12382-12394, 2018. [pdf file]

·       Justin Ker, L. P. Wang, Jai Rao, and Tchoyoson Lim, "Deep Learning Applications in Medical Image Analysis", IEEE Access, vol.6, pp. 9375-9389, 2018. (ESI Highly Cited Paper 2022, top 1% of the academic field of Engineering) [pdf file]

·       Y.L. Arnatovich, L. P. Wang, Minh Ngoc Ngo, Charlie Soh, "Mobolic: An Automated Approach to Exercising Mobile Applications GUIs Using Symbiosis of Online Testing Technique and Customated Input Generation", Software: Practice and Experience, 2017. [pdf file]

·       L. P. Wang, Yaoli Wang, Qing Chang, "Feature selection methods for big data bioinformatics: A survey from the search perspective", Methods (2016), http://dx.doi.org/10.1016/j.ymeth.2016.08.014 . [pdf file]

·       Z. Lan, O. Sourina, L. P. Wang, Y. Liu, “Real-time EEG-based Emotion Monitoring Using Stable Features”, Visual Computer, vol.32, no.3, pp 347-358, March 2016.

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·       Xiaolong Bai, Swamidoss Issac Niwas, Weisi Lin, Bing-Feng Ju, Chee Keong Kwoh, L.P. Wang, Chelvin C. Sng, Maria C. Aquino, Paul T.K. Chew, "Learning ECOC code matrix for multiclass classification with application to glaucoma diagnosis", Journal of Medical Systems, vol.40, no.4, pp.1-10, 2016. [pdf file]

·       Xiaolong Bai, Yuming Fang, Weisi Lin, L. P. Wang, Bing-Feng Ju, “Saliency-Based Defect Detection in Industrial Images by Using Phase Spectrum”, IEEE Transactions on Industrial Informatics, vol.10, no.4, pp. 2135-2145, 2014. [pdf file]

·       Lining Zhang, L. P. Wang and Weisi Lin, “Geometric optimum experimental design for collaborative image retrieval”, IEEE Transactions on Circuits and Systems for Video Technology, vol.24, pp.346-359, 2014. [pdf file]

·       Lining Zhang, L. P. Wang and Weisi Lin, “Conjunctive patches subspace learning with side information for collaborative image retrieval,” IEEE Trans. Image Processing, vol.21, no.8, pp.3707-3720, 2012. [pdf file]

·       Lining Zhang, L. P. Wang and Weisi Lin, “Semi-supervised biased maximum margin analysis for interactive image retrieval,” IEEE Trans. Image Processing, vol.21, no.4, pp.2294-2308, 2012. [pdf file]

·       Lining Zhang, L. P. Wang and W. Lin, “Generalized biased discriminant analysis for content-based image retrieval”, IEEE Trans. System, Man, Cybern, Part B – Cybernetics, vol.42, no.1, pp.282-290, 2012. [pdf file]

·       L. P. Wang, Fuyu Tian, Boon Hee Soong, and Chunru Wan, "Solving combinatorial optimization problems using augmented Lagrange chaotic simulated annealing," Differential Equations and Dynamical Systems, vol.19, no.1&2, pp. 171–179, 2011. [pdf file]

·       Shekhar Gupta and L. P. Wang, “Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling,” Australian Journal of Intelligent Information Processing Systems, vol.11, pp.14-17, 2010. [pdf file]

·       L. P. Wang, Wen Liu, and Haixiang Shi, “Delay-constrained multicast routing using the noisy chaotic neural networks,” IEEE Transactions on Computers, vol.58, no.1, pp.82-89, 2009.  [pdf file]

·       Wen Liu and L. P. Wang, “Minimizing interference in satellite communications using transiently chaotic neural networks”, Computers & Mathematics with Applications, vol.57, no.6, pp.1024-1029, 2009.  [pdf file]

·       L. P. Wang, Nina Zhou, and Feng Chu, “A general wrapper approach to selection of class-dependent features,” IEEE Transactions on Neural Networks, vol.19, no.7, pp.1267-1278, 2008. [pdf file]

·       L. P. Wang and Chunru Wan, “Comments on “the extreme learning machine”,” IEEE Transactions on Neural Networks, vol.19, no.8, pp. 1494-1495, 2008. [pdf file]

·       L. P. Wang, Wen Liu, and Haixiang Shi, “Noisy chaotic neural networks with variable thresholds for the frequency assignment problem in satellite communications,” IEEE Trans. System, Man, Cybern, Part C – Reviews and Applications, vol.38, no.2, pp.209-217, March, 2008. [pdf file]

·       L. P. Wang, Feng Chu, and Wei Xie, “Accurate cancer classification using expressions of very few genes,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.4, no.1, pp. 40-53, Jan.-March, 2007. [pdf file]

·       L. P. Wang, Wen Liu, Haixiang Shi, and Jacek M. Zurada, “Cellular neural networks with transient chaos,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol.54,  no.5,  pp.440 - 444, May 2007. [pdf file]

·       Nina Zhou and L. P. Wang, “Effective selection of informative SNPs and classification on the HapMap genotype data,” BMC Bioinformatics, 8:484, 2007. [pdf file]

·       L. P. Wang, “Interactions between neural networks: a mechanism for tuning chaos and oscillators,” Cognitive Neurodynamics, vol.1, no.2, pp.185–188, 2007.[pdf file]

·       Nina Zhou and L. P. Wang, “A modified T-test feature selection method and its application on the Hapmap genotype,” Genomics, Proteomics & Bioinformatics, vol.5, pp. 242-249, 2007. [pdf file]

·       Wen Liu, L. P. Wang, and Haixiang Shi, “Satellite frequency assignments using transiently chaotic neural networks with variable thresholds,” International Journal of Information Technology and Intelligent Computing, vol.1, no.4, 2007. [pdf file]

·       Bing Liu, Chunru Wan, and L. P. Wang, “An efficient semi-unsupervised gene selection method via spectral biclustering”, IEEE Transactions on Nano-Bioscience, vol.5, no.2, pp.110-114, June, 2006. [pdf file]

·       L. P. Wang and Haixiang Shi, “A gradual noisy chaotic neural network for solving the broadcast scheduling problem in packet radio networks,” IEEE Transactions on Neural Networks, vol.17, no.4, July pp.989 - 1000, 2006. [pdf file]

·       Zheng Rong Yang, L. P. Wang, Natasha Young, Dave Trudgian, and Kuo-Chen Chou, “Pattern recognition methods for protein functional site prediction,” Current Protein & Peptide Science, vol.6, pp.479-491, 2005. [pdf file]

·       Haixiang Shi and L. P. Wang, “Broadcast scheduling in wireless multihop networks using a neural-network-based hybrid algorithm,” Neural Networks, vol.18, pp.765-771, 2005. [pdf file]

·       Feng Chu and L. P. Wang, “Applications of support vector machines to cancer classification with microarray data,” International Journal of Neural Systems, vol.15, no.6, pp.475-484, 2005. [pdf file]

·       Xiuju Fu and L. P. Wang, "Data Dimensionality Reduction with Application to Improving Classification Performance and Explaining Concepts of Data Sets", International Journal of Business Intelligence and Data Mining (invited paper), vol.1, no.1, pp.65-87, 2005. [pdf file]

·       L. P. Wang, Sa Li, Fuyu Tian, and Xiuju Fu, "A noisy chaotic neural network for solving combinatorial optimization problems: Stochastic chaotic simulated annealing", IEEE Trans. System, Man, Cybern, Part B - Cybernetics, vol.34, no.5, pp.2119-2125, October, 2004. [pdf file]

·       Yanjie Peng, Boon Hee Soong, and L. P. Wang, "Broadcast scheduling in packet radio networks using mixed tabu-greedy algorithm", Electronics Letts., vol.40, no.6, pp.375-376, March, 2004. [pdf file]

·       Xiuju Fu and L. P. Wang, "Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance", IEEE Trans. System, Man, Cybern, Part B - Cybernetics, vol.33, no.3, pp. 399-409, 2003. [pdf file]

·       L. P. Wang and Yakov Frayman, "A Dynamically generated fuzzy neural network and its application to torsional vibration control of tandem cold rolling mill spindles", Engineering Applications of Artificial Intelligence, vol. 15, no. 6, pp. 541 - 550, December, 2002. [pdf file]

·       L. P. Wang, Sa Li, Sokwei Cindy Lay, Wen Hsin Yu, and Chunru Wan, “Genetic algorithms for optimal channel assignments in mobile communications,” Neural Network World, vol.12, no.6, pp. 599-619, 2002. [pdf file]

·       M. Liu, C. Wan, and L. P. Wang, "Content-based audio classification and retrieval using a fuzzy logic system: towards multimedia search engines", Soft Computing, vol. 6, no.5, pp.357-364, August, 2002. [pdf file]

·       Y. Frayman, L. P. Wang, and Chunru Wan, "Cold rolling mill thickness control using the cascade-correlation neural network", Control and Cybernetics, vol.31, no.2, pp. 327-342, 2002. [pdf file]

·       Yakov Frayman and L. P. Wang, "A Dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes", Soft Computing, vol.6, pp.244-253, 2002. [pdf file]

·       Xiuju Fu and L. P. Wang, "Linguistic rule extraction from a simplified RBF neural network", Computational Statistics (a special issue on Data Mining and Statistics), vol. 16, no.3, pp.361-372, 2001. [ pdf file]

·       L. P. Wang, "Heteroassociations of spatio-temporal sequences with the bi-directional associative memory," IEEE Transactions on Neural Networks, vol.11, no.6, pp. 1503 -1505, November, 2000. [pdf file]

·       Yuyao He and L. P. Wang, "Chaotic neural networks and their application to optimization problems," Control Theory and Applications, vol.17, no.6, pp.847-852, December, 2000. [pdf file]

·       L. P. Wang, "Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences," IEEE Transactions on Systems, Man, and Cybernetics, vol.29B, no.1, February, pp. 73-82, 1999. [pdf file]

·       L. P. Wang, "Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: a mean-field theory and simulations," IEEE Transactions on Neural Networks, vol.9, no.4, pp.697-704, July, 1998. [pdf file]

·       L. P. Wang and Kate Smith, "On chaotic simulated annealing," IEEE Transactions on Neural Networks, vol.9, no.4, pp.716-718, July, 1998. [pdf file]

·       L. P. Wang, "On the dynamics of discrete-time, continuous-state Hopfield neural networks," IEEE Transactions on Circuit and Systems-II: Analog and Digital Signal Processing, vol.45, no.6, pp.747-749, June, 1998. [pdf file]

·       L. P. Wang, "Learning and retrieving spatio-temporal sequences with any static hetero-associative neural network," IEEE Transactions on Circuit and Systems-II: Analog and Digital Signal Processing, vol.45, no.6, pp.729-738, June, 1998. [pdf file]

·       L. P. Wang, "Noise injection into inputs in sparsely-connected Hopfield and winner-take-all neural networks," IEEE Transactions on Systems, Man, and Cybernetics, vol.27, no.5, pp. 868-870, October, 1997. [pdf file]

·       L. P. Wang, "On competitive learning," IEEE Transactions on Neural Networks, vol.8, no.5, pp. 1214-1217, September, 1997. [pdf file]

·       L. P. Wang, "Discrete-time convergence theory and updating rules for neural networks with energy functions," IEEE Transactions on Neural Networks, vol. 8, no. 2, pp. 445-447, March, 1997. [pdf file]

·       L. P. Wang, "Suppressing chaos with hysteresis in a higher-order neural network," IEEE Transactions on Circuit and Systems-II: Analog and Digital Signal Processing, vol. 43, no. 12, pp. 845-846, December, 1996. [pdf file]

·       L. P. Wang, "Oscillatory and chaotic dynamics in neural networks under varying operating conditions," IEEE Transactions on Neural Networks, vol.7, no.6, pp. 1382-1388, November, 1996. [pdf file]

·       L. P. Wang, "Distributed memory and localized memory in neural networks," Engineering Applications of Artificial Intelligence vol.9, no.2, pp. 121-127, 1996. [pdf file]

·       L. P. Wang and D.L. Alkon, "An artificial neural-network system for temporal-spatial sequence processing," Pattern Recognition, vol. 28, no. 8, pp. 1267-1276, 1995. [pdf file]

·       L. P. Wang and John Ross, "Chaos, multiplicity, crisis, and synchronicity in higher order neural networks." Phys. Rev. vol. A44, pp. R2259 - 2262, 1991. [pdf file]

·       L. P. Wang and John Ross, "A variable threshold as a model of selective attention, (de)sensitization, and anesthesia in associative neural networks," Biological Cybernetics. vol. 64, pp. 231 - 241, 1991. [pdf file]

·       L. P. Wang and John Ross, "Synchronous neural networks of non-linear threshold elements with hysteresis." Proc. National Academy of Sciences (USA) vol. 87, pp. 988 - 992 (1990). [pdf file]

·       L. P. Wang, E.E. Pichler, and John Ross, "Oscillations and chaos in neural networks: an exactly solvable model." Proc. National Academy of Sciences (USA) vol. 87, pp. 9467 - 9471 (1990). [pdf file]

·       L. P. Wang and John Ross, "Interactions of neural networks: models for distraction and concentration," Proc. National Academy of Sciences (USA) vol. 87, pp. 7110 - 7114 (1990). [pdf file]

·       L. P. Wang, "Phase-space formulation of quantum-mechanics under phase-space transformations-Wigner functions of an oscillator system in crossed magnetic and electric fields," Phys. Rev., vol. A41, 1193-1198, 1990. [pdf file]

·       L. P. Wang, "Two-dimensional electron-gas in a magnetic-field-the non-degenerate limit," Phys. Stat. Sol. B, vol. 157, pp. 247-251, 1990. [pdf file]

·       L. P. Wang, "Effective potentials of two-dimensional Wigner crystal-Low-temperatures and strong magnetic-fields," Annals of Phys.(N.Y), vol. 191, pp. 307-311, 1989. [pdf file]

·       L. P. Wang, "Magneto-oscillations in a two-dimensional electron gas: a simplified analytic approach," Found. Phys. Lett., vol. 2, pp. 191-197, 1989. [pdf file]

·       L. P. Wang, "Landau-level broadening and thermodynamics in a two-dimensional electron-system with a space-charge distribution," J. Phys. Condensed Matter, vol. 1, pp. 8437-8443, 1989. [pdf file]

·       L. P. Wang and R.F. O'Connell, "Ideal two-dimensional electron-gas in a magnetic-field and at non-zero temperatures-An alternative approach," Phys. Stat. Sol. B, vol. 153, pp. 343-359, 1989. [pdf file]

·       L. P. Wang and R.F. O'Connell, "On the thermodynamics of a degenerate two-dimensional electron-gas in a strong magnetic-field-density of states," Z. Phys., vol. B73, pp. 179-190, 1988. [pdf file]

·       L. P. Wang and R. F. O'Connell, "Landau-level width-magnetic-field and temperature dependences," Phys. Rev. vol. B37, pp. 3052-3057, 1988. [pdf file]

·       L. P. Wang and R.F. O'Connell, "Quantum mechanics without wavefunctions," Found. Phys., vol. 18, pp. 1023-1032, 1988. [pdf file]

·       L. P. Wang and R.F. O'Connell, "Magnetic-susceptibility of a two-dimensional electron-gas in the strong magnetic-field limit and for non-zero temperatures," Phys. Stat. Sol. B, vol. 144, pp. 781-786, 1987. [pdf file]

·       L. P. Wang and R.F. O'Connell, "A precaution needed in using the phase-space formulation of quantum-mechanics," Physica, vol. 144A, pp. 201-210, 1987. [pdf file]

·       L. P. Wang and R.F. O'Connell, "Free-energy for harmonically bound fermions in a magnetic-field," J. Phys., vol. 20A, pp. 937-948, 1987. [pdf file]

·       L. P. Wang, "Exchange effect of a hot fermionic plasma confined in an arbitrary potential barrier .1. the weak magnetic-field limit," Plasma Physics and Controlled Fusion, vol. 29, pp. 395-403, 1987. [pdf file]

·       L. P. Wang and R.F. O'Connell, "Surface effects on the diamagnetic susceptibility and other properties of a low-temperature electron-gas," Phys. Rev., vol. 34B, pp. 5160-5168, 1986. [pdf file]

·       L. P. Wang, "On the classical limit of phase-space formulation of quantum-mechanics-Entropy," J. Math. Phys., vol. 27, pp. 483-487, 1986. [pdf file]

·       R.F. O'Connell and L. P. Wang, "A new parametrized quantum distribution function and its time development," Phys. Lett., vol. 107A, pp. 9-11, 1985. [pdf file]

·       R.F. O'Connell and L. P. Wang, "Phase-space representations of the Bloch equation," Phys. Rev., vol. 31A, pp. 1707-1711, 1985. [pdf file]

·       R.F. O'Connell, L. P. Wang, and H.A. Williams, "Time-dependence of a general-class of quantum distribution-functions," Phys. Rev., vol. 30A, pp. 2187-2192, 1984. [pdf file]

·       L. P. Wang, "The uniqueness theorem in static magnetism," College Physics (China), No.4, pp. 24-26, 1983 (in Chinese). [pdf file]

 

Monographs

·       L. P. Wang and Xiuju Fu, Data Mining with Computational Intelligence, Springer, Berlin, 2005. (basic information: [pdf file]) 

·       Runtong Zhang, Ning Chu, and L. P. Wang, Foundation of Electronic Commerce, Capital University of Economics and Trading Press, Beijing, 2006 (in Chinese, 张润彤，樊宁，王力波,《电子商务基础教程》).

 

Selected Edited Books

·       Yaochu Jin and L. P. Wang (eds.), Fuzzy Systems in Bioinformatics, Biomedical Engineering and Computational Biology, Springer, Berlin, Studies in Fuzziness and Soft Computing, Vol.242, 2009.(basic information: [pdf file]) 

·       Ke Chen and L. P. Wang (eds.), Trends in Neural Computation, Springer, Berlin, 2007.(basic information: [pdf file]) 

·       L. P. Wang (ed.), Support Vector Machines: Theory and Applications, Springer, Berlin, 2005.(basic information: [pdf file]) 

·       Saman Halgamuge and L. P. Wang (eds.), Computational Intelligence for Modeling and Predictions, Springer, Berlin, 2005.(basic information: [pdf file]) 

·       Saman Halgamuge and L. P. Wang (eds.), Classification and Clustering for Knowledge Discovery, Springer, Berlin, 2005.(basic information: [pdf file]) 

·       Yap Peng Tan, Kim Hui Yap, and L. P. Wang (eds.), Intelligent Multimedia Processing with Soft Computing, Springer, Berlin, 2005.(basic information: [pdf file]) 

·       Jagath C. Rajapakse and L. P. Wang (eds.), Neural Information Processing: Research and Development, Springer, Berlin, May, 2004.(basic information: [pdf file]) 

·       K.C. Tan, M. H. Lim, X. Yao, and L. P. Wang (eds.), Recent Advances in Simulated Evolution And Learning, World Scientific, Singapore, 2004.(basic information: [pdf file]) 

·       L. P. Wang (ed.), Soft Computing in Communications, Springer, Berlin, September, 2003.(basic information: [pdf file]) 

·       L. P. Wang and D.L. Alkon, Editors, Artificial neural networks: Oscillations, chaos, and sequence processing, IEEE Computer Society Press, Los Alamitos, California, 1993.  (basic information: [pdf file]) 

 

Selected Book Chapters

·       Shekhar Gupta and L. P. Wang, "Neural networks and wavelet de-noising for stock trading and prediction", in Time Series Analysis, Witold Pedrycz and Shyi Ming Chen (eds.), Springer, 2012 [ pdf file]

·       Xiuju Fu, Xiaorong Li, L. P. Wang, David Ong, and Stephen John Turner, "Data mining in QoS-aware media grids," in Advanced Computational Intelligence Paradigms: Theory and Applications, Studies in Computational Intelligence (SCI) 115, Springer, 689–714 (2008). [ pdf file]

·       Feng Chu and L. P. Wang, "Biomedical Data Mining Using RBF Neural Networks", in Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, John Wang (Editor), Idea Group Inc., London, pp.1706-1713, 2008. [ pdf file]

·       Xiuju Fu, L. P. Wang, GihGuang Hung, and Liping Goh, “Linguistic rule extraction from support vector machine classifiers,” in Research and Trends in Data Mining Technologies and Applications, David Tanier (ed.), Idea Group Inc., pp.276-290, 2006. [ pdf file]

·       Feng Chu, Guosheng Jin, and L. P. Wang, "Cancer diagnosis and protein secondary structure prediction using support vector machine", in Support Vector Machines: Theory and Applications, L. P. Wang (ed.), STUD FUZZ SOFT COMP, vol.177, Springer, pp.343-363, 2005. [ pdf file]

·       L. P. Wang, Leipo Yan, and Kim Hui Yap, "Image denoising using stochastic chaotic simulated annealing," in Intelligent Multimedia Processing with Soft Computing, Yap Peng Tan, Kim Hui Yap, and L. P. Wang (eds.), Springer, Berlin, pp. 415-429, 2005. [ pdf file]

·       L. P. Wang, Sa Li, Chunru Wan, and Boon Hee Soong, "Minimizing interference in cellular mobile communications by optimal channel assignment using chaotic simulated annealing", in Soft Computing in Communications, L. P. Wang (Editor), Springer, Berlin, pp.131-145, 2004. [ pdf file]

·       Mingchun Liu and Chunru Wan and L. P. Wang, "Intelligent content-based audio classification and retrieval for web applications'', in Computational Web Intelligence: Intelligent Technology for Web Applications, Edited by Yan-Qing Zhang, Abraham Kandel, T.Y. Lin and Y.Y. Yao, chapter 13, pp.257-281, ISBN 981-238-827-3, World Scientific Publishing, Singapore, 2004. [ pdf file]

·       Mingchun Liu, Chunru Wan, and L. P. Wang, "A Fuzzy Logic Approach for Content-based Audio Classification and Boolean Retrieval", in Fuzzy Logic on the Internet, Vincenzo Loia, Masoud Nikravesh and Lotfi A. Zadeh (Eds.), Springer, Berlin, pp.135-156, 2004. [ pdf file]

 

Selected Conference Papers

·       Piotr Duda, L. P. Wang, "On a streaming approach for training denoising auto-encoders," 19th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2020), Zakopane, POLAND, Lecture Notes in Computer Science, 2020. [pdf file]

·       Alakh Aggarwal, Rishika Rathore, Pratik Chattopadhyay and Lipo Wang, “EPD-Net: A GAN-Based Architecture for Face De-Identification from Images,” 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020. [pdf file]

·       Ruilin Li, Zirui Lan, Jian Cui, Olga Sourina and Lipo Wang, "EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolution Networks," 2020 International Conference on Cyberworlds (CW2020). [pdf file]

·       Zirui Lan, Olga Sourina, Lipo Wang, Yisi Liu, Reinhold Scherer, Gernot R. Müller-Putz, "Stable Feature Selection for EEG-based Emotion Recognition”, 2018 International Conference on Cyberworlds (CW), pp. 176-183, 2018. [pdf file]

·       Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang, "apk2vec: Semi-supervised multi-view representation learning for profiling Android applications," 2018 IEEE International Conference on Data Mining (ICDM), pp.357-366, 2018. [pdf file]

·       W. L. Lim, O. Sourina and L. P. Wang, “Cross Dataset Workload Classification Using Encoded Wavelet Decomposition Features”, 2018 International Conference on Cyberworlds (CW), 2018. [pdf file]

·       J. Mańdziuk, A. Żychowski, L.P. Wang, "A TCART-M—Tuned CARTesian-based error function for multilabel classification with the MLP," 2017 International Joint Conference on Neural Networks (IJCNN), pp.565-572, 2017. [pdf file]

·       Krystian Łapa, Krzysztof Cpalka, L. P. Wang, "A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators," 16th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2017), Zakopane, POLAND, Lecture Notes in Computer Science, 2017. [pdf file]

·       Z. Lan, O. Sourina, L.P. Wang, R. Scherer, G. Müller-Putz, "Unsupervised Feature Learning for EEG-based Emotion Recognition," 2017 International Conference on Cyberworlds (CW), pp.182-185, 2017. [pdf file]

·       Edwin Sin and L.P. Wang, "Bitcoin Price Prediction Using Ensembles of Neural Networks", 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017). [pdf file]

·       Charlie Soh, Hee Beng Kuan Tan, Yauhen Leanidavich Arnatovich, Annamalai Narayanan, L.P. Wang, "LibSift: Automated Detection of Third-Party Libraries in Android Applications", 2016 23rd Asia-Pacific Software Engineering Conference (APSEC), pp.41-48, 2016. [pdf file]

·       L. P. Wang, F. F. Chan, Y. Wang, and Q. Chang, "Predicting Public Housing Prices Using Delayed Neural Networks," TENCON 2016 - 2016 IEEE Region 10 Conference, Singapore, 22 Nov - 25 Nov 2016. [pdf file]

·       Z. Lan, G. R. Müller-Putz, L. P. Wang, Y. Liu, O. Sourina, R. Scherer, "Using Support Vector Regression to Estimate Valence Level from EEG," IEEE International Conference on System, Man, Cybernetics, 2016. [pdf file]

·       W.T. Lim, L. P. Wang, Y. Wang, and Q. Chang, "Housing price prediction using neural networks," 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016, pp.518-522. Changsha; China; 13-15 August 2016. [pdf file]

·       W. L. Lim, Gernot R Müller-Putz, L. P. Wang, Yisi Liu, Olga Sourina, Reinhold Scherer, "Individual Alpha Peak Frequency Based Features for Subject Dependent EEG workload classification," IEEE International Conference on System, Man, Cybernetics, 2016. [pdf file]

·       Olga Sourina, Yisi Liu, Xiyuan Hou, Lim Wei Lun, Wolfgang Mueller-Wittig, L. P. Wang, Dimitrios Konovessis, Chun-Hsien Chen, Wei Tech Ang, "Neuroscience Based Design: Fundamentals and Applications," Proceedings of 2016 International Conference on Cyberworlds (CW2016), China, 2016. [pdf file]

·       P. Staszewski, P. Woldan, M. Korytkowski, R. Scherer, and L.P. Wang, "Query-by-example image retrieval in Microsoft SQL server," 15th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2016), Zakopane, POLAND, JUN 12-16, 2016, Lecture Notes in Computer Science, vol. 9693, pp.746-754, 2016. [pdf file]

·       Andrzej Przybył, Krystian Łapa, Jacek Szczypta, L. P. Wang, "The method of the evolutionary designing the elastic controller structure," 15th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2016), Zakopane, POLAND, JUN 12-16, 2016, Lecture Notes in Computer Science, vol. 9692, pp.476-492, 2016. [pdf file]

·       Krystian Łapa, Krzysztof Cpalka, L. P. Wang, "New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms," 15th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2016), Zakopane, POLAND, JUN 12-16, 2016, Lecture Notes in Computer Science, vol.9692, pp.248-265, 2016. [pdf file]

·       Aditya Mitra and L.P. Wang, “Improving Artificial Neural Network based Stock Forecasting using Fourier De-Noising and Hodrick-Prescott Filter”, Proc. 2015 Int. Conf. Information, Communications and Signal Processing (ICICS 2015), Dec., 2015. [pdf file]

·       W. L. Lim, O. Sourina, L. Wang, and Y. Liu, “EEG-based Mental Workload Recognition Related to Multitasking”, Proc. 2015 Int. Conf. Information, Communications and Signal Processing (ICICS 2015), 2015, Dec., pp.1-5. [pdf file]

·       X. Hou, Y. Liu, O. Sourina, E. Tan, L. Wang, and W. Mueller-Wittig. "EEG based Stress Monitoring." Proceeding of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015), pp 3110-3115, Oct, 2015. [pdf file]

·       Y. Liu, W. L. Lim, X. Hou, Olga Sourina, and L. Wang, "Prediction of Human Cognitive Abilities based on EEG Measurements", Proceedings of 2015 International Conference on Cyberworlds (CW2015), pp 161-164, Oct, 2015. [pdf file]

·       W. L. Lim, O. Sourina, and L. Wang, "MIND - An EEG Neurofeedback Multitasking Game", In Proc. 2015 Int. Conf. on Cyberworlds (CW2015), pp. 169-172, 7-9 Oct., 2015. [pdf file]

·       Z. Lan, Y. Liu, O. Sourina, L. Wang, “Real-time EEG-based User’s Valence Monitoring”, in Proc. 2015 Int. Conf. Information, Communications and Signal Processing (ICICS 2015), pp.1-5, Dec., 2015. [pdf file]

·       Przybyl, J. Szczypta, L.P. Wang, "Optimization of controller structure using evolutionary algorithm," L. Rutkowski, M. Korytkowski, R. Scherer, eds., 14th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2015), Zakopane, POLAND, JUN 14-18, 2015, ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II, Lecture Notes in Computer Science, vol.9120, pp.261-271, 2015. [pdf file]

·       Soh, H.B.K. Tan, Y.L. Arnatovich, L.P. Wang, "Detecting Clones in Android Applications through Analyzing User Interfaces," 23rd IEEE International Conference on Program Comprehension, ICPC 2015; Florence; Italy; 18-19 May 2015 pp.163-173. [pdf file]

·       Vinh Luong, L. P. Wang, and Gaoxi Xiao, "Action Recognition Using Hierarchical Independent Subspace Analysis with Trajectory," The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Singapore, 2015. [pdf file]

·       Y. Fang, K. Fataliyev, L. P. Wang, X. Fu and Y. Wang, "Improving the Genetic-Algorithm-Optimized Wavelet Neural Network Approach to Stock Market Prediction," 2014 International Joint Conference on Neural Networks (IJCNN 2014), pp. 3038-3042, 2014. [pdf file]

·       Xiuju Fu, Xiaorong Li, Yongqing Zhu, L. P. Wang and Siow Mong Rick Goh, "An Intelligent Analysis and Prediction Model for On-demand Cloud Computing Systems," 2014 International Joint Conference on Neural Networks (IJCNN 2014). [pdf file]

·       J. Szczypta, A. Przybył, L. P. Wang, "Evolutionary approach with multiple quality criteria for controller design," 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014; Zakopane; Poland; 1-5 June 2014, Lecture Notes in Computer Science, vol.8467 LNAI, PART 1, pp.455-467. [pdf file]

·       Krystian Łapa, Krzysztof Cpalka, L. P. Wang, "New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability," 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014; Zakopane; Poland; 1-5 June 2014, Lecture Notes in Computer Science, vol.8467 LNAI, PART 1, pp.217-232. [pdf file]

·       Zirui Lan, Olga Sourina, L. P. Wang and Yisi Liu, "Stability of Features in Real-time EEG-based Emotion Recognition Algorithm", Cyberworlds 2014 (6-8 October 2014, Santander, Spain. Outstanding Paper Award). [pdf file]

·       Yuqinq He, Kamaladdin Fataliyev, and L. P. Wang, “Feature Selection for Stock Market Analysis,” the 20th International Conference on Neural Information Processing (ICONIP2013), Daegu, Korea, 3-10 November 2013, Invited Paper, Part II, LNCS 8227, pp. 737–744, 2013. [pdf file]

·       Guanqun Dong, Kamaladdin Fataliyev, L. P. Wang, “One-Step and Multi-Step Ahead Stock Prediction Using Backpropagation Neural Networks”, 9th International Conference on Information, Communications and Signal Processing (ICICS 2013), 10 - 13 December 2013, Tainan, Taiwan. Accepted [pdf file]

·       Lining Zhang, L. P. Wang and Weisi Lin, "A Semantic Subspace Learning Method to Exploit Relevance Feedback Log Data for Image Retrieval," 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013), Singapore. [pdf file]

·       Tianxing Zheng, Kamaladdin Fataliyev, and L. P. Wang, “Wavelet neural networks for stock trading and prediction,” Invited Oral presentation, SPIE Defense, Security, and Sensing, 29 April - 3 May 2013, Baltimore, USA. [pdf file]

·       Lining Zhang, L. P. Wang and Weisi Lin, "Laplacian Regularized Subspace Learning for Interactive Image Re-ranking," 2012 International Joint Conference on Neural Networks (IJCNN 2012), Brisbane, Australia. [pdf file]

·       L. P. Wang, “Feature selection for bioinformatics,” SPIE Defense, Security, and Sensing, April 23-28, 2012 Baltimore. [pdf file]

·       Lining Zhang, L. P. Wang and Weisi Lin, "Biased subspace learning for SVM Relevance Feedback in Content-Based Image Retrieval," 8th International Conference on Information, Communications and Signal Processing, ICICS 2011; Singapore; 13-16 December 2011. [pdf file]

·       L. P. Wang, N. S. L. Sally, W. Y. Hing, "Solving channel assignment problems using local search methods and simulated annealing," Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering Ix, vol.8058, a part of SPIE Defense, Security, and Sensing, 25-29 April 2011, Orlando, Florida, USA. [pdf file]

·       Leipo Yan and L. P. Wang, “Image denoising using noisy chaotic neural networks”, in Advances in Cognitive Neurodynamics Vol.2-Proceedings of the 2nd International Conference on Cognitive Neurodynamics (ICCN), pp. 659-662, 2011. [pdf file]

·       L. P. Wang and Guanglin Si, “Optimal location management in mobile computing with hybrid genetic algorithm and particle swarm optimization (PSO)”, IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2010) , Athens, Greece, December 12-15, 2010.  [pdf file]

·       Ming Zhu and L. P. Wang, "Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms," 2010 International Joint Conference on Neural Networks (IJCNN), pp.1-5, 2010. [pdf file]

·       Wenjun Pan and L. P. Wang, “An Ant Colony Optimization Algorithm Based on the Experience Model”, Proc. 5th International Conference on Natural Computation (ICNC'09), Tianjin, China, 14-16 August 2009. [pdf file]

·       Wen Liu, L. P. Wang, "Solving the Shortest Path Routing Problem Using Noisy Hopfield Neural Networks," 2009 WRI International Conference on Communications and Mobile Computing: CMC 2009, Vol. 2, Pages: 299-302, 2009. [pdf file]

·       Xiuju Fu, Sonja Lim, L. P. Wang, Gary Lee, Stefan Ma, Limsoon Wong, Gaoxi Xiao, "Key node selection for containing infectious disease spread using particle swarm optimization," IEEE Swarm Intelligence Symposium (SIS'09), 2009. [pdf file]

·       J.S. Manognya and L. P. Wang, "Gene expression programming for induction of finite transducer", 7th International Conference on Information, Communications and Signal Processing (ICICS 2009), pp. 1-5, 2009. [pdf file]

·       Rafał Grodzicki, Jacek Mańdziuk, and L. P. Wang, "Multilabel Classification using Neural Networks", Proc. 10th International Conference on Parallel Problem Solving From Nature, September 13-17, 2008, Technische Universität Dortmund, Germany, PPSN X, LNCS 5199, pp. 409–416, 2008. [pdf file]

·       F. Fazayeli, L.P. Wang, and J. Mandziuk, “Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm”, Rough Sets and Current Trends in Computing, vol. 5306, pp. 272-282, 2008. [pdf file]

·       Nina Zhou and L. P. Wang, “Class-dependent feature selection for face recognition”, Advances in Neuro-Information Processing, Pt II, vol.5507, pp.551-558, MAR 2009. (Proc. 15th International Conference on Neural Information Processing (ICONIP’08), Auckland, New Zealand, 2008.) [pdf file]

·       Farideh Fazayeli, L. P. Wang, and Wen Liu, “Back-propagation with chaos,” Proc. 2008 IEEE International Conference on Neural Networks and Signal Processing (ICNNSP2008), Zhenjiang, China, June 7-11, pp.5-8, 2008. [pdf file]

·       Jingjing Sun and L. P. Wang, “Predicting Signal Peptides and Their Cleavage Sites Using Support Vector Machines and an Improved Position Weight Matrix”, Proc. 4th International Conference on Natural Computation (ICNC'08), Jinan, China, 14-16 October 2008, Volume 5, pp.95-99. [pdf file]

·       Bifan Li, L. P. Wang and Song Wu, “Ant colony optimization for the travelling salesman problem based on ants with memory”, Proc. 4th International Conference on Natural Computation (ICNC'08), Jinan, China, 14-16 October 2008, Volume 7, pp.496-501. [pdf file]

·       Nina Zhou and L. P. Wang, “Perfect population classification on Hapmap data with a small number of SNPs,” International Conference on Neural Information Processing (ICONIP 2007), Japan, November 2007, Part II, LNCS 4985, pp. 789–797, 2008. [pdf file]

·       Wen Liu, Haixiang Shi and L. P. Wang, “Transiently chaotic neural network with variable thresholds for the frequency assignment problem in satellite communications,” International Conference on Cognitive Neurodynamics (ICCN'07), Shanghai, China, November, 2007; in R. Wang et al. (eds.), Advances in Cognitive Neurodynamics, Springer Science+Business Media B.V., pp.885-889, 2008. [pdf file]

·       Wen Liu, Haixiang Shi and L. P. Wang, “Minimizing interference in satellite communications using chaotic neural networks,” 3rd International Conference on Natural Computation (ICNC'07), Haikou, China, 24- 27 August 2007. [pdf file]

·       Feng Chu and L. P. Wang, “Active Mining Discriminative Gene Sets (Invited)”, Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC 2006, 25-29 June 2006, Zakopane, Poland), LNCS 4029, pp. 880-889, 2006. [pdf file]

·       Nina Zhou and L. P. Wang, “A Novel Support Vector Machine with Class-dependent Features for Biomedical Data”, IEEE International Conference on System, Man, Cybernetics (SMC 2006, October 8-11, 2006, Taipei), pp. 1666- 1670, 2006. [pdf file]

·       Feng Chu and L. P. Wang, “A Novel Approach to Searching for Discriminative Gene Sets”, IEEE International Conference on System, Man, Cybernetics (SMC 2006, October 8 -11, 2006, Taipei), pp. 1660-1665, 2006. [pdf file]

·       Feng Chu and L. P. Wang, “Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions”, International Joint Conference on Neural Networks (IJCNN 2006, 16-22 July 2006, Canada), 2006. [pdf file]

·       L. P. Wang, Bing Liu, and Chunru Wan, "Support vector machines with graded resolution for classification problems,” IEEE International Conference on Granular Computing, China, 25-27 July, vol.2, pp.666-670, 2005.[pdf file]

·       L. P. Wang, Lei Zhou, and Wen Liu, “FPGA segmented channel routing using genetic algorithms”, IEEE Congress on Evolutionary Computation (CEC’05, September 2-5, Edinburgh, U.K.), vol.3, pp. 2161-2165, 2005.[pdf file]

·       L. P. Wang and Wensong Zhang, “Using stochastic chaotic simulated annealing in the FPGA segmented channel routing problem”, IEEE Int. Workshop VLSI Design & Video Tech., Suzhou, China, May 28-30, pp. 288-291, 2005. [pdf file]

·       Haixiang Shi and L. P. Wang, “An adaptive noisy chaotic neural network approach for frequency assignment in satellite communications systems”, 12th International Conference on Neural Information Processing (ICONIP’05, October 30 – November 2, Taipei), pp.150-153, 2005. [pdf file]

·       L. P. Wang, Hou Chai Quek, Keng Hoe Tee, and Chunru Wan, “Optimal size of a feedforward neural network: How much does it matter?”, 2005 International Conference on Applied Practice and Theory on Computation and Control (APTCC 2005), Tahiti, French Polynesia, October 23-28, 2005. [pdf file]

·       L. P. Wang and Wen Gu, "Genetic algorithms with stochastic ranking for optimal channel assignment in mobile communications,” International Symposium on Computational and Information Sciences (CIS 2004), Shanghai, China, December 16-18, LNCS 3314, J. Zhang et al (Eds.), pp.154-159, 2005. [pdf file]

·       Leipo Yan, L. P. Wang and Kim Hui Yap, "A noisy chaotic neural network approach to image denoising,” IEEE International Conference on Image Processing (ICIP 2004), Singapore, October, 2004. [pdf file]

·       L. P. Wang, "Snap-shots on neuroinformatics and neural information processing research in Singapore,” International Conference on Neural Information Processing (ICONIP 2004), Calcutta, India, November 22-25, LNCS 3316, N.R. Pal et al (eds.), pp.874-878, 2004. [pdf files]

·       Feng Chu and L. P. Wang, "Estimating error-dimensionality relationship for gene expression based cancer classification", Proceedings of the 1st International Bioengineering Conference (IBEC 2004), Singapore, September, 2004. [pdf files]

·       L. P. Wang and Haixiang Shi, "A noisy chaotic neural network approach to topological optimization of a communication network with reliability constraints,” International Symposium on Neural Networks (ISNN 2004, August 19-21), Dalian, China, August, LNCS 3174, pp.230-235, 2004. [pdf files]

·       Leipo Yan and L. P. Wang, " Image restoration using chaotic simulated annealing", Proceedings of the 2003 IEEE International Joint Conference on Neural Networks (IJCNN, Portland, USA, July 20-24, 2003), pp. 3060-3064, 2003. [pdf files]

·       F. Chu and L.P. Wang, "Gene expression data analysis using support vector machines", Proceedings of the International Joint Conference on Neural Networks 2003, Vols 1-4, pp. 2268-2271, 2003. [pdf files]

·       Leipo Yan and L. P. Wang, "Applications of transiently chaotic neural networks to image restoration", Proceedings of the 2003 IEEE International Conference on Neural Networks and Signal Processing (Nanjing, China, December 14-17, 2003), IEEE Cat. No.03EX641, pp. 265-269, vol.1, 2003. [pdf files]

·       Haixiang Shi and L. P. Wang, "A noisy chaotic neural network approach for broadcast scheduling problem", Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore, 15-18 December 2003. [pdf files]

·       Haixiang Shi and L. P. Wang, "A mixed branch-and-bound and neural network approach for the broadcast scheduling problem", Proceedings of the 3rd International Conference on Hybrid Intelligent Systems (HIS’03), December 14 – 17, 2003, Melbourne, Australia, pp.42-49. [pdf files]

·       Wei Xie and L. P. Wang, "A fuzzy neural network for system modeling", Proceedings of the Fourth International Conference on Information, Communications & Signal Processing and Fourth Pacific-Rim Conference on Multimedia (ICICS-PCM 2003), Singapore, December 15-18, 2003. [pdf files]

·       Yangjie Peng, L. P. Wang, Boon Hee Soong, “Optimal channel assignment in cellular systems using tabu search”, Proceedings 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 31-35, Vol.1, 2003. [pdf files]

·       L. P. Wang, Haixiang Shi, S. Arunkumaar, and Wen Gu, “Genetic algorithms for optimal channel assignment in mobile communications”, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP 2002, Singapore, November 18-22, 2002) vol.3, pp. 1221-1225. [pdf files]

·       Xiuju Fu, L. P. Wang, Kok Seng Chua, Feng Chu, “Training RBF Neural Networks on Unbalanced Data”, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP 2002), Singapore, November 18-22, pp.1016-1020, vol.2, 2002. [pdf files]

·       Xiuju Fu and L. P. Wang, "Rule extraction using a novel gradient-based method and data dimensionality reduction", Proceedings of the 2002 IEEE International Joint Conference on Neural Networks (IJCNN 2002), Honolulu, vol.2, pp. 1275 – 1280, May 12-17, 2002. [pdf files]

·       Sa Li, Sokwei Cindy Lay, Wen Hsin Yu, and L. P. Wang, "Minimizing interference in mobile communications using genetic algorithms", Proceedings of International Conference of Computational Science (ICCS 2002), Amsterdam, vol. I, pp. 960-969, LNCS 2329, 2002. [pdf files]

·       Xiuju Fu and L. P. Wang, "Rule Extraction from an RBF Classifier Based on Class-Dependent Features", Proceedings of the 2002 IEEE Congress on Evolutionary Computation (CEC 2002), Honolulu, May 12-17, vol.2, pp. 1916 - 1921, 2002. [pdf files]

·       Xiuju Fu and L. P. Wang, "A GA-based novel RBF classifier with class-dependent features", Proceedings of the 2002 IEEE Congress on Evolutionary Computation (CEC 2002), Honolulu, vol.2, pp. 1890 - 1894, May 12-17, 2002. [pdf files]

·       L. P. Wang, Kok Keong Teo, and Zhiping Lin, "Predicting time series with wavelet packet neural networks", Proceedings of the 2001 IEEE International Joint Conference on Neural Networks (IJCNN 2001), July 15-19, 2001, Washington, DC., USA, vol.3, pp.1593-1597, 2001. [pdf file]

·       Teo, K.K., Wang, L., Lin, Z.: Wavelet packet multi-layer perceptron for chaotic time series prediction: effects of weight initialization. Proceedings of International Conference of Computational Science ICCS 2001 Part II, San Francisco, CA, USA, May 28-30, 2001, Lecture Notes in Computer Science, Vol. 2074 Alexandrov, V.N.; Dongarra, J.J.; Juliano, B.A.; Renner, R.S.; Tan, C.J.K. (Eds.), (2001) 310 -317 [pdf file]

·       Xiuju Fu and L. P. Wang, "Rule extraction by genetic algorithms based on a simplified RBF neural network", Proceedings of the 2001 IEEE Congress on Evolutionary Computation (CEC 2001), Seoul, Korea, May 27-30, 2001, vol.2, pp. 753-757, 2001. [ pdf file]

·       Xiuju Fu and L. P. Wang, "Data dimensionality reduction and RBF neural networks for concise rule extraction", Proceedings of the 8rd International Conference on Neural Information Processing (ICONIP 2001), Shanghai, China, November 14-18, pp.149-153, 2001.  [pdf file]

·       Chunru Wan, Mingchun Liu, and L. P. Wang, "Content-based sound retrieval for web application", Proceedings of the 1st Asia-Pacific Conference on Web Intelligence, Maebashi City, Japan, October 23-26, pp.389-393, 2001, in Web Intelligence: Research and Development, N. Zhong, Y. Yao, J. Liu, and S. Ohsuga, eds., LNCS 2198, ISBN# 3-540-42730-9, Springer.  [pdf file]

·       Sa Li and L. P. Wang, "Transiently chaotic neural networks for channel assignment for mobile communications", Proceedings of the 3rd International Conference on Information, Communication and Signal Processing (ICICS 2001), Singapore, October 15-18, 2001.  [pdf file]

·       Xiuju Fu and L. P. Wang, "Rule extraction based on data dimensionality reduction using RBF neural networks", Proceedings of the 3rd International Conference on Information, Communication and Signal Processing (ICICS 2001), Singapore, October 15-18, 2001.  [pdf file]

·       Sa Li and L. P. Wang, "Channel assignment for mobile communications using stochastic chaotic simulated annealing", Proceedings of the 2001 International Work-Conference on Artificial Neural Networks (IWANN2001), Granada, Spain, June 13-15, 2001, Mira, Jose; Prieto, Alberto (Eds.), Part I, LNCS 2084, pp.757-764, 2001. [pdf file]

Xiuju Fu and L. P. Wang, "Knowledge discovery from a simplified RBF neural network", Proc. Pacific Knowledge Acquisition Workshop 2000 (PKAW 2000, Sydney, Australia, December 11-13, 2000) [pdf file]

·       Xugang Lu, Gang Li, and L. P. Wang, "Lateral inhibition mechanism in computational auditory model and its application in robust speech recognition", Proc. Tenth IEEE Workshop on Neural Networks for Signal Processing (NNSP 2000, Sydney, Australia, December 11-13, 2000), pp. 785-794. [pdf file]

·       Xugang Lu, Gang Li, and L. P. Wang, "Dominant subspace analysis for auditory spectrum", Proc. International Conference on Spoken Language Processing (ICSLP 2000, Beijing, China). [pdf file]

·       Fuyu Tian, L. P. Wang, and Xiuju Fu, "Solving channel assignment problems for cellular radio networks using transiently chaotic neural networks", Proc. International Conference on Automation, Robotics, and Computer Vision (ICARCV 2000, Singapore, December 5-8, 2000) [pdf file]

·       Xiuju Fu and L. P. Wang, "Data dimensionality reduction using RBF neural networks", Proc. International Conference on Automation, Robotics, and Computer Vision (ICARCV 2000, Singapore, December 5-8, 2000) [pdf file]

·       L. P. Wang, “Training the multilayer perceptron classifier with a two-stage method,” Proc. 7th International Conference on Neural Information Processing (ICONIP 2000, Taejon, Korea, November 14-18, 2000) [pdf file]

·       Xiuju Fu and L. P. Wang, "Linguistic rule extraction from a simplified RBF neural network", Proc. Augsburg Symposium on Data Mining and Statistics (Augsburg, Germany, November, 2000), Best Student Paper Award [pdf file]

·       Fuyu Tian and L. P. Wang, "Chaotic simulated annealing with augmented Lagrange for solving combinatorial optimization problems", Proc. IEEE International Conference on Industrial Electronics, Control, and Instrumentation and 3rd Asia-Pacific Conference on Simulated Evolution And Learning (IECON 2000-SEAL 2000, Nagoya, Japan, October 25-27, 2000), pp. 2722-2725. [pdf file]

·       Kok Keong Teo, L. P. Wang and Zhiping Lin, "Wavelet multi-layer perceptron neural network for time-series prediction," Proc. 10th International Conference on Computing and Information (ICCI 2000, Kuwait, 18-21 November 2000). [pdf file]

·       L.P. Wang and F.Y. Tian, "Noisy chaotic neural networks for solving combinatorial optimization problems", Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), vol. IV, pp. 37-40, 2000. [pdf file]

·       Fuyu Tian and L. P. Wang, "Augmented Lagrange chaotic simulated annealing for combinatorial optimization problems", Proc. International Joint Conference on Neural Networks (IJCNN 2000, Como, Italy, July 24-27, 2000) [pdf file]

·       Yuyao He, L. P. Wang, and Demin Xu, "Simulated annealing with decaying chaotic noise", Proc. 3rd Asian Control Conf (ASCC 2000, July 4-7, 2000, Shanghai, China). [pdf file]

·       Yuyao He and L. P. Wang, "Chaotic neural networks and applications", Proc. 3rd World Congress on Intelligent Control and Automation (WCICA 2000, 28 June-2 July 2000, Hefei, China), pp. 826-30, vol.2, 2000. [pdf file]

·       Fuyu Tian, L. P. Wang, and Yuyao He, "Solving optimization problems using transiently chaotic neural networks: Choices of network parameters" Proc. The Second International Conference on information, Communications, and Signal Processing (ICICS’99) 7 –10 December 1999, Singapore. [pdf file]

·       Yakov Frayman and L. P. Wang, "Direct MRAC with dynamically constructed neural controllers," Proc. 1999 International Joint Conference on Neural Networks (IJCNN'99), vol. 4, pp. 2236-2240, 1999.[pdf file]

·       Yakov Frayman, K.M. Ting, and L.P. Wang, “A fuzzy neural network for data mining: dealing with the problem of small disjuncts,” Proc. 1999 International Joint Conference on Neural Networks (IJCNN'99), vol.4, pp.2490-2493, 1999. [pdf file]

·       L. P. Wang, "A multi-associative counter-propagation neural network and its applications to spatio-temporal sequence processing," Proc. International Conference on Neural Networks & Brain (ICNN&B'98), Beijing, China, pp. 106-109, October 27-30, 1998. [pdf file]

·       Terence Kwok, Kate Smith, and L. P. Wang, "Incorporating chaos into the Hopfield neural network for combinatorial optimisation," Proceedings of the 1998 World Multiconference on Systemics, Cybernetics and Informatics, vol.1, pp.659-665, 1998. [pdf file]

·       Yakov Frayman and L. P. Wang, "Robust control of continuous polymerization reactor by dynamically constructed recurrent fuzzy neural network," Proceedings of the 1998 World Multiconference on Systemics, Cybernetics and Informatics, vol.1, pp.646-651, 1998. [pdf file]

·       L.P. Wang and K. Smith, "Chaos in the discretized analog Hopfield neural network and potential applications to optimization," IEEE World Congress on Computational Intelligence, pp. 1679-1684, 1998. [pdf file]

·       Yakov Frayman and L. P. Wang, "Data mining using dynamically constructed recurrent fuzzy neural networks," in Research and Development in Knowledge Discovery and Data Mining, X. Wu, R. Kotagiri, and K.B. Korb (Eds.), (Proc. the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD’98, 15-17 April 1998, Melbourne, LNCS 1394, pp.122-131 [pdf file]

·       L. P. Wang, "Neural networks under periodic operating conditions: transitions between dynamic states," Proc. IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS), October 30-November 2, 1997. [pdf file]

·       L. P. Wang, "Spatio-temporal sequence processing with the counterpropagation neural network," Proc. IEEE International Conference on Systems, Man, and Cybernetics (October 14-17, 1996, Beijing, China), vol. 2, pp. 831-835. [pdf file]

·       L. P. Wang, "Speech word recognition with backpropagation and fuzzy-artmap neural networks," Proc. Eighth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (Melbourne, June 6-8, 1995), pp. 673-675. [pdf file]

 

Patent

·       L. P. Wang and D.L. Alkon, "Artificial network for temporal sequence processing." United States Patent No. 5,446,829 (August 29, 1995). [pdf file]

 

Selected Other Publications

·       L. P. Wang, “Introducing the CIS Technical Activities,” IEEE Computational Intelligence Magazine, vol.1, no.4, pp.12-17, 2006. [pdf file]

·       L. P. Wang, I Cloete, J Mendel, AMS Zalzala, “Society Briefs,” IEEE Computational Intelligence Magazine, vol.2, no.1, pp.15-18, 2007. [pdf file]