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期刊论文
Wen Wu, Li Chen, and Yu Zhao. Personalizing Recommendation Diversity based on User Personality. In User Modeling and User-Adapted Interaction,28(3):237-276, Springer, 2018. [人机交互国际期刊排名第二，最佳期刊论文奖]
吴雯，贺樑，杨静。《双学位背景下数据结构课程的教学改革》，发表于《计算机教育》，2023.[一作，教育部级期刊，教改论文]
Yu Ji, Wen Wu*, Yi Hu, Xi Chen, Jiayi Chen, Wenxin Hu and Liang He.Personality-Assisted Mood Modeling with Historical Reviews for Sentiment Classification. In Information Sciences, 2023. [一区，通讯作者]
Liye Shi, Wen Wu*, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng and Liang He. DualGCN: An Aspect-Aware Dual Graph Convolutional Network for Review-based Recommender. In Knowledge-based Systems,2022.[一区，通讯作者]
Liye Shi, Wen Wu*, Wang Guo, Wenxin Hu, Jiayi Chen, Wei Zheng and Liang He.SENGR: Sentiment-Enhanced Neural Graph Recommender. In Information Sciences,2022.[一区，通讯作者] https://doi.org/10.1016/j.ins.2021.12.120
Ji Yu, Wen Wu*, Shiyun Chen, Qin Chen, Wenxin Hu and Liang He. Two-stage sentiment classificaiton based on user-product interactive information. In Knowledge-Based Systems, 2020.[一区，通讯作者] https://www.sciencedirect.com/science/article/pii/S0950705120303646?dgcid=author
Liye Shi,Wen Wu*,Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen and Liang He. SMAR: Summary-Aware Multi-Aspect Recommendation. In Neurocomputing, 2023.[二区，通讯作者]
Jiayi Chen, Wen Wu*,Liye Shi, Wei Zheng, and Liang He.Long-tail Session-based Recommendation from Calibration. In Applied Intelligence, 2022.[二区，通讯作者]
Jiayi Chen, Wen Wu*, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, and Liang He. DACSR:Decoupled-Aggregated End-to-End Calibrated Sequential Recommendaiton. Applied Sciences Basel,2022.[三区，通讯作者]
Qimin Ban, Wen Wu*, Wenxin Hu, Hui Lin, Wei Zheng and Liang He.Personalized Course Recommendation based on Learner’s Knowledge and Personality. Journal of East China Normal University (Natural Sciences), 2021.[CSCD,通讯作者]
Aimin Zhou, Xiaozhe Yang, Wen Wu, Ningning Zhou, Feng Liu and Liang He. Computational Affection: A catalyst for human-centered education. Science 70 years of excellence: ECNU’s ongoing commitment to cutting-edge, cross-edge, cross-disciplinary research, 2021.[Science-华师大70周年专刊]
Wen Wu, Li Chen, Qingchang Yang and You Li.Inferring Students'Personality from Their Communication Behavior in Web-based Learning Systems. In International Journal of Artificial Intelligence in Education, Springer, 2019. DOI: 10.1007/s40593-018-00173-9 [ESCI,智能教育交叉期刊]
Wang Guo, Wenxin Hu, Wen Wu, Liang He and Liang Dou. Scene Context-aware Rating Prediction at Multi-Level. In Computer Applications and Software, 2019.[CSCD]
会议论文
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.[Core B,最佳学生论文奖]
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'22),2022 [CCF B，通讯作者]
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'22),2022 [CCF B，通讯作者]
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 Internatiaonl Conference on Acoustics, Speech and Signal Processing (ICASSP'22), 2022 [CCF B，通讯作者]
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'22), 2022 [CCF C,通讯作者]
Hongyang Zhou, Jiayi Che, 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 [CCF C,通讯作者]
Yu Ji,Wen Wu*, Yi Hu, Xiaofeng He, Changzhi Chen, and Liang He. Automatic Personality Prediction Based on Users' Chinese Handwriting Change. Chinese CSCW,2022 [人机交互会议，通讯作者]
Jiayi Chen, Wen Wu*, Wenxin Hu, Wei Zheng and Liang He.SSR: Explainable Session-based Recommendation. In Proceedings of International Joint Conference on Neural Networks (IJCNN'21), 2021 [CCF C，通讯作者]
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'20), Nov. 9-11, 2020 [CCF C，通讯作者]
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'23), 2023 [CCF B]
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.[CCF C]
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.[CCF C]
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, Hong Kong, Junne 11-13, 2019.[EI]
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.[Core B]
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.[CCF B]
Wen Wu, Li Chen, and Qingchang Yang. Students' Personality and Chat Room Behavior in Synchronous Online Learning. In Proceedings of24th ACM Conference on User Modeling, Adaptation and Personalization(UMAP'16) – Late Breaking Results, Halifax, NS, Canada, July 13-17, 2016. [Core B]
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.[CCF B]
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.[CCF B]
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.[CCF A]
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.[EI]
专著
Li Chen, Wen Wu* and Liang He. Personality and Recommendation Diversity. In Emotions and Personality in Personalized Services, M. Tkal?i?, B. D. Carolis, M. Gemmis, A. Odi?, A. Ko?ir, Eds., Springer, ISBN: 978-3-319-31411-2, pages 201-225, 2016. [通讯作者]
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