2020

Graph Neural Network via Exploiting Shallow and Deep Relational Dependencies [C], 2020, to be submit.
Yonghui Xu, Yong Liu, Yuan Miao, Hengjie Song, Yi Hu, Chunyan Miao*.

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach [J], ACMTKDD, 2020, under review.
Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chunyan Miao*

Kernel-Target Alignment based Non-linear Metric Learning [J], Neurocomputing, 2020.
Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min.

Multi-Component Transfer Metric Learning for Handling Unrelated Source Domain Samples [J], Knowledge-Based System, 2020.
Chang'an Yi, Yonghui Xu*, Han Yu*, Yuguang Yan, Yang Liu.

Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph [C], arXiv preprint arXiv:2004.11529, 2020.
Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang.

2019

Deep Transfer Learning For Abnormality Detection [C], ICCSE, 2019.
K. JW, Yonghui Xu*, Han Yu.

Multi-label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence [J], IEEE Access, 2019, 7, 10362-10373. IF=3.557.
Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song.

2018

A Novel Transfer Metric Learning Approach Based on Multi-Group [C], 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2018: 2184-2189.
Chang'an Yi, Yonghui Xu* Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min.

Multi-Instance Transfer Metric Learning by Weighted Distribution and Consistent Maximum Likelihood Estimation [J], Neurocomputing, 2018, 321, 49-60. IF=3.241.
Yonghui Xu*, Siyu Jiang*, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu.

Feature Selection and Transfer Learning for Alzheimer Disease [J], Applied Sciences-Basel, 2018, 8 (8), 1372. IF=1.689.
Ke Zhou, Wenguang He, Yonghui Xu, Jie Cai.

2017

A Unified Framework for Metric Transfer Learning [J]. IEEE Transactions on Knowledge and Data Engineering, 2017, PP(29):1158 - 1171. (CCF A), IF=3.692.
Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song.

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Transactions on Knowledge and Data Engineering, 2017, PP(29):1494 - 1507. (CCF A), IF=3.692.
Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao.

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction [J]. Scientific Reports, 2017, 7. IF=4.122.
Yonghui Xu, Huaqing Min, Qingyao Wu, Hengjie Song.

2016

Individual Judgments Versus Consensus: Estimating Query-URL Relevance [J]. ACM Transactions on the Web (TWEB), 2016, 10(1): 3.
Hengjie Song, Yonghui Xu*, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qing Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida.

Multi-Instance Multi-Label Distance Metric Learning for Genome-Wide Protein Function Prediction [J]. Computational biology and chemistry, 2016, 63: 30-40.
Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu.

Osteoporosis Recognition Based on Similarity Metric with SVM [J]. International Journal Bioautomation, 2016, 20(2): 253-264.
Ke Zhou, Jie Cai, Yonghui Xu, Tianxiu Wu.

2012

Label transfer for joint recognition and segmentation of 3D object[C]//Machine Learning and Cybernetics (ICMLC), 2012 International Conference on. IEEE, 2012, 3: 1188-1192.
Yonghui Xu, Ronghua Luo, Huaqing Min.

Coupled hidden semi-Markov conditional random fields based context model for semantic map building[C]//Machine Learning and Cybernetics (ICMLC), 2012 International Conference on. IEEE, 2012, 2: 785-791.
Ronghua Luo, Huaqing Min, Yonghui Xu, Junbo Li.

Invited Journal Reviewer:

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

IEEE Transactions on Services Computing (TSC)

IEEE Transactions on Cybernetics (Cyber)

IEEE Transactions on Big Data (TBD)

ACM Transactions on Knowledge Discovery from Data (TKDD)

Knowledge-Based System (KBS)

Neurocomputing

IET Intelligent Transport Systems (ITS)

IEEE Access

Conference Service:

PC member of ICCSE 2019, The 4rd International Conference on Crowd Science and Engineering

PC member of IEEE ICA 2019, The 4rd IEEE International Conference on Agents

PC member of ICCSE 2018, The 3rd International Conference on Crowd Science and Engineering

Reviewer of IEEE ICA 2018, The 3rd IEEE International Conference on Agents

Ph.D. Computer Science and Technology        Sep, 2011 - Jun, 2017
Thesis: Research on Transfer Learning for Multi-Instance Classification
South China University of Technology
Guangzhou, China

B.S. Information and Computing Science        Sep, 2007 - Jun, 2011
Henan University
Kai Feng, China

Research Fellow        Nanyang Technological University
April, 2018 - Now
Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY)
Alibaba-NTU Singapore Joint Research Institute (JRI)
Singapore

Research Visitor        Alibaba Group
Sep, 2018 - Dec, 2018
International Technology Division - ICBU
Hangzhou, China

Research Intern        Baidu (China) Co., Ltd.
July, 2014 - Nov, 2014
Department of Platform Quality
Responsible for the depth analysis and excavation of user behavior data in Crowdsourcing platform.
Shanghai, China

2018, Outstanding Paper Award of Guangdong Computer Society.

2015, Science and Technology Award of Guangdong Computer Society.

2013, The 15th National Robot Championship and the 4th International Competition for Humanoid Robot Olympiad, Champion.

2012, National Scholarship for Graduate Students.

2012, Graduate Scholarship of South China University of Technology.

2011, Cross-Strait Robotics Symposium and Robot Technology Challenge, Champion.

2011, Guangdong Service Robot Competition, Champion.

2011, Academic Scholarship of Henan University.

2011, Outstanding students of Henan University.

2011, Outstanding interns of Henan University.

Alibaba Innovation Research Program (AIR)
    PI, July, 2020 - July, 2021
    Knowledge Graph Completion and Common-sense Mining in E-Commerce

Alibaba-NTU Joint Research Project
    co-PI, Mar, 2020 - Mar, 2021
    E-commerce Marketing Guide Field Construction via Knowledge Graph for B2B International Trades

Alibaba-NTU Joint Research Project
    Project Leader, July, 2018 - July, 2020
    Interactive Domain Knowledge Graph Construction via crowd sourcing for B2B international trades

China Postdoctoral Science Foundation (No. 2018M630945)
    PI, May, 2018 - Sep, 2020

National Natural Science Foundation of China (NO. 71671069)
    Participation, Jan, 2017 - Dec, 2020
    Precision Delivery Technology of E-commerce Platform Display Advertisement Based on Behavior Orientation

National Natural Science Foundation of China (NO. 61703168)
    Participation, Dec, 2017 - Jun, 2020
    Behavior Recognition Technology Based on Multimodal Deep Neural Network

National Natural Science Foundation of China (NO. 61372140)
    Participation, Otc, 2013 - Jul, 2014
    Semantic Segmentation Model and Transfer Learning for RGB-D Timing Image under Weak Supervision

Guangzhou Science and Technology Program
    Participation, Apr, 2015 - Mar, 2017
    Guangzhou Key Laboratory of Robotics and Intelligent Software