Nature

2024

  1. MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
    Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, and Aixin Sun. NeurIPS2024 D&B NLP IR
  2. SciAgent: Tool-augmented Language Models for Scientific Reasoning
    Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun. EMNLP 2024. Accepted NLP
  3. Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
    Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun and Min Zhang. RecSys 2024 Accepted RecSys
  4. Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
    Lulu Dong, Guoxiu He and Aixin Sun. RecSys 2024 Accepted. RecSys
  5. Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
    Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas. TOIS 2024. RecSys
  6. Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
    Aixin Sun. An invited paper by ACM SIGWEB Newsletter RecSys
  7. Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
    Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun. Accepted in TOIS 2024.RecSys
  8. On Context Utilization in Summarization with Large Language Models
    Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty. ACL 2024. NLP IR
  9. Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.
    Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun. ACL 2024 Findings. NLP
  10. Parameter-Efficient Conversational Recommender System as a Language Processing Task
    Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu. EACL 2024. NLP RecSys
  11. DiffuRec: A Diffusion Model for Sequential Recommendation
    Zhihao Li, Aixin Sun, Chenliang Li. ACM TOIS: 42(3), Article 66. May 2024. RecSys
  12. DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network
    Zhe Chen, Aixin Sun. ACM TKDD. Accepted 2004. DM IR

2023

  1. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
    Yubo Ma, Yixin Cao, Yong Ching Hong, Aixin Sun. EMNLP 2023 Findings. NLP IR
  2. Open Information Extraction via Chunks
    Kuicai Dong, Aixin Sun, Jung-jae Kim, Xiaoli Li. EMNLP 2023. NLP
  3. From Speculation Detection to Trustworthy Relational Tuples in Information Extraction.
    Kuicai Dong, Aixin Sun, Jung-jae Kim, Xiaoli Li. EMNLP 2023 Findings. NLP
  4. Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need
    Mengying Yu, Aixin Sun. Journal of the Association for Information Science and Technology (JASIST). Accepted. IR
  5. MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction.
    Wang Jing, Aixin Sun, Hao Zhang and Xiaoli Li. Accepted in ACL 2023. NLP
  6. Few-shot Event Detection: An Empirical Study and a Unified View.
    Yubo Ma, Zehao Wang, Yixin Cao and Aixin Sun. Accepted in ACL 2023. NLP
  7. A Synthetic Data Generation Framework for Grounded Dialogues.
    Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi and Ruifeng Xu. Accepted in ACL 2023. NLP
  8. Negation Scope Refinement via Boundary Shift Loss.
    Yin Wu and Aixin Sun. Accepted in ACL 2023 Findings. NLP
  9. Take a Break in the Middle: Investigating Subgoals towards Hierarhical Script Generation.
    Xinze Li, Yixin Cao, Muhao Chen and Aixin Sun. Accepted in ACL 2023 Findings. NLP
  10. Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting.
    Chen Chen, Yufei Wang, Aixin Sun, Bing Li and Kwok-Yan Lam. Accepted in ACL 2023 Findings. NLP
  11. A Study on Transformer Configuration and Training Objective.
    Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You. Accepted in ICML 2023. NLP
  12. Take a Fresh Look at Recommender Systems from an Evaluation Standpoint.
    Aixin Sun. Accepted in SIGIR 2023. RecSys
  13. A Preference Learning Decoupling Framework for User Cold-Start Recommendation.
    Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang and Ke Wang. Accepted in SIGIR 2023. RecSys
  14. SelfCF: A Simple Framework for Self-supervised Collaborative Filtering.
    Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao. Accepted in ACM TORS 2023. RecSys
  15. A Critical Study on Data Leakage in Recommender System Offline Evaluation.
    Yitong Ji, Aixin Sun, Jie Zhang, and Chenliang Li. ACM TOIS 41(3):1-27 2023.RecSys
  16. Temporal Sentence Grounding in Videos: A Survey and Future Directions.
    Hao Zhang, Aixin Sun, Wei Jing, and Joey Tianyi Zhou. Accepted in IEEE PAMI 2023 IR NLP CV
  17. EDU-Capsule: Aspect-based Sentiment Analysis at Clause Level.
    Ting Lin*, Aixin Sun, and Yequan Wang. Knowledge and Information Systems (KAIS), 65(2): 517-541 (2023) NLP
  18. Asking Clarifying Questions: to Benefit or to Disturb Users in Web Search?
    Jie Zou, Aixin Sun, Cheng Long∧, Mohammad Aliannejadi, Evangelos Kanoulas. Information Processing & Management (IP&M), 60 (2): 103176. 2023 IR
  19. DOCoR: Document-level OpenIE with Coreference Resolution.
    Shan Jie Yong, Kuicai Dong, Aixin Sun. WSDM 2023: 1204-1207 (Demo paper) NLP

2022

  1. Syntactic Multi-view Learning for Open Information Extraction.
    Kuicai Dong, Aixin Sun, Jung-Jae Kim and Xiaoli Li. EMNLP 2022 NLP
  2. CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts.
    Yequan Wang, Hengran Zhang, Aixin Sun and Xuying Meng. EMNLP 2022 Findings NLP
  3. Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Accuracy from a Time Perspective.
    Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li. ICTIR 2022 RecSys
  4. A Survey on Neural Open Information Extraction: Current Status and Future Directions.
    Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun. IJCAI 2022 Surveys NLP
  5. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict .
    Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo. NAACL 2022 Findings NLP
  6. Automatic Expert Selection for Multi-Scenario and Multi-Task Search.
    Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li and Aixin Sun. SIGIR 2022 IR
  7. An Attribute-Driven Mirroring Graph Network for Session-based Recommendation.
    Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang and Aixin Sun. SIGIR 2022 RecSys
  8. Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. [Draft]
    Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun and Cheng Long. SIGIR 2022 (Short paper) RecSys
  9. MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities.
    Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao. ACL 2022 (Demo paper). NLP
  10. An Embarrassingly Simple Model for Dialogue Relation Extraction.
    Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng. ICASSP 2022 NLP
  11. Aspect-based Sentiment Analysis through EDU-level Attentions.
    Ting Lin, Aixin Sun, Yequan Wang. PAKDD 2022 NLP
  12. A Survey on Deep Learning for Named Entity Recognition. [390+ Citations]
    Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li. TKDE 34(1): 50-70 (2022). NLP IR

2021

  1. DocOIE: A Document-level Context-Aware Dataset for OpenIE.
    Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim and Xiaoli Li.. ACL Findings 2021. NLP
  2. Parallel Attention Network with Sequence Matching for Video Grounding.
    Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou and Siow Mong Rick Goh. ACL Findings 2021. NLP
  3. Video Corpus Moment Retrieval with Contrastive Learning.
    Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, and Rick Siow Mong Goh. SIGIR 2021. IR
  4. Natural Language Video Localization: A Revisit in Span-based Question Answering Framework.
    Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou and Rick Siow Mong Goh. IEEE TPAMI. Accepted 2021 NLP
  5. Incremental Community Detection on Large Complex Atributed Network.
    Zhe Chen, Aixin Sun, Xiaokui Xiao. ACM TKDD. Accepted 2021 DM
  6. Point-of-Interest Recommendation with Global and Local Context.
    Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, and Xiangliang Zhang. IEEE TKDE. Accepted 2021 RecSys
  7. GDPNet: Refining Latent Multi-View Graph for Relation Extraction.
    Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng. AAAI 2021 NLP

2020

  1. Anomaly Detection on Dynamic Bipartite Graph with Burstiness.
    Zhe Chen, Aixin Sun. IEEE ICDM 2020. (Short paper) DM
  2. Understanding the Stability of Medical Concept Embedding.
    Grace E. Lee, Aixin Sun. JASIST. NLP
  3. Sentiment Prediction using Attention on User-Specific Rating Distribution.
    Ting Lin, Aixin Sun. ACM ICTIR 2020. NLP
  4. DeepRouting: A Deep Neural Network Approach for Ticket Routing in Expert Network. [Draft]
    Jianglei Han, Aixin Sun. IEEE SCC 2020 (Best Student Paper Award). IR
  5. Span-based Localizing Network for Natural Language Video Localization.
    Hao Zhang, Aixin Sun, Wei Jing, and Joey Tianyi Zhou. ACL 2020. NLP
  6. A Re-visit of Popularity Baseline in Recommender Systems.
    Yitong Ji, Aixin Sun, Jie Zhang and Chenliang Li. SIGIR 2020. (Short paper) RecSys
  7. CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
    Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun. SIGIR 2020. RecSys
  8. Neural Named Entity Boundary Detection
    Jing Li, Aixin Sun, Yukun Ma. TKDE 2020. NLP IR
  9. CASE: Context-Aware Semantic Expansion
    Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi. AAAI. Feb 2020 NLP
  10. Efficient Approximation Algorithms for Adaptive Target Profit Maximization
    Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim. ICDE. Apr 2020 DB