• Qimin Ban, Wen Wu*, Wenxin Hu, Hui Lin, Wei Zheng and Liang He. Knowledge-Enhanced Multi-task Learning for Course Recommendation. In Proceedings of  International Conference on Database Systems for Advanced Applications (DASFAA 2022), April 11-14, 2022.

• Liye Shi, Wen Wu*, Yu Ji, Luping Feng, and Liang He. PMAR: Multi-Aspect Recommendation Based
  on Psychological Gap. In Proceedings of  International Conference on Database Systems for Advanced Applications (DASFAA 2022), April 11-14, 2022.

• Zhengxiao Cheng, Jie Zhou,Wen Wu, Qin Chen and Liang He.Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotation. In Proceedings of IEEE Internatiaonl Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), 2023

• Luwei Xiao, Xingjiao Wu, Wen Wu*, Jing Yang, and Liang He*. Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. In proceedings of  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 7-9, 2022.

• Xinghai Zheng, Qimin Ban, Wen Wu*, Jiayi Chen, Jun Xiao, Lamei Wang, Wei Zheng and Liang He. Learner Profile based Knowledge Tracing. In Proceedings of International Joint Conference on Neural Networks (IJCNN 2022), 2022.

• Hongyang Zhou, Jiayi Chen, Wen Wu*, Wenxin Hu, Wei Zheng, and Liang He. Unexp-DIN: Unexpected Deep Interest Network for Recommendation. In Proceedings of International Joint Conference on Neural Networks (IJCNN'22), 2022.

• Jiayi Chen, Wen Wu*, Wenxin Hu, Wei Zheng and Liang He*. SSR: Explainable Session-based Recommendation. In Proceedings of International Joint Conference on Neural Network (IJCNN 2021), July 18-22, 2021.

• Jiayi Chen, Wen Wu*, Wenxin Hu, Liang He*. TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos. In Proceedings of  International Conference on Tools with Artificial Intelligence (ICTAI 2020), Nov. 9-11, 2020.

• Ningjie Lu, Jun Zheng, Wen Wu, Kaiwei Chen and Wenxin Hu. Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries. In Proceedings of International Joint Conference on Neural Networks (IJCNN'19),  Budapest, Hungary, July 14-19, 2019. 

• Mengting Li, Jing Yang, Wen Wu and Liang He. A Crowdsourcing based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks. In Proceedings of International Joint Conference on Neural Networks (IJCNN'19),  Budapest, Hungary, July 14-19, 2019. 

• Jingwei Wang, Wenxin Hu and Wen Wu. CACV-tree: A New Computational Approach for Sentence Similarity Modeling. In Proceedings of International Conference on Big Data Engineering (BDE'19), Hong Kong, Junne 11-13, 2019. 

• Wen Wu, Li Chen, and Qingchang Yang. Inferring Students' Sense of Community from Their Communication Behavior in Online Courses. In Proceedings of 25th Conference on User Modeling, Adaptation and Personalization (UMAP’17), Bratislava, Slovakia, July 9-12, 2017. [PDF] [Poster]

• Wen Wu. Implicit Acquisition of User Personality for Augmenting Recommender Systems. In Proceedings of 22nd ACM Conference on  Intelligent User Interfaces (IUI’ 17) - Companion, Limassol, Cyprus, March 13-16, 2017. [PDF] [Poster]

• Wen Wu, Li Chen, and Qingchang Yang. Students’ Personality and Chat Room Behavior in Synchronous Online Learning. In Proceedings of 24th ACM Conference on User Modeling, Adaptation and Personalization (UMAP’16) – Late Breaking Results, Halifax, NS, Canada, July 13-17, 2016. [PDF] [Poster]

• Li Chen, Feng Wang and Wen Wu. Inferring Users’ Critiquing Feedback on Recommendations from Eye Movements. In Proceedings of 24th International Conference on Case Based Reasoning (ICCBR’16), Atlanta Georgia, USA, October 31 – November 2, 2016. [PDF]

• Wen Wu and Li Chen. Implicit Acquisition of User Personality for Augmenting Movie Recommendations. In Proceedings of 23rd Conference on User Modeling, Adaptation and Personalization (UMAP’15), pages 302-314, Dublin, Ireland, June 29 – July 3, 2015. [Best Student Paper Award] [PDF]

• Wen Wu, Li Chen and Liang He. Using Personality to Adjust Diversity in Recommender Systems. In Proceedings of 24th ACM Conference on Hypertext and Social Media (HT’13), pages 225-229, Paris, France, May 1–3, 2013. [PDF]

• Li Chen, Wen Wu and Liang He. How Personality Influences Users’ Needs for Recommendation Diversity? In Proceedings of 2013 SIGCHI Conference on Human Factors in Computing Systems (CHI’13) – Extended Abstracts, pages 829-834, Paris, France, April 27 – May 2, 2013. [PDF] [Poster]

• Wen Wu, Liang He and Jing Yang. Evaluating Recommender Systems. In Proceedings of the 7th International Conference on Digital Information Management (ICDIM’12), Pages 56-61. Macau, China, August 22-24, 2012. [PDF]

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