Biography

I am currently a third-year Ph.D. student at Beihang University, where I am privileged to be advised by Prof. Fuzhen Zhuang. I also maintain close research collaborations with Prof. Zhao Zhang and Prof. Shuang Li. Our team homepage is KTL.

My research interests focus on advancing the efficiency and reliability of machine learning models, specifically in Recommendation and large language models.

News

Publications

A complete list can be found in my Google Scholar. # denotes co-first author.

2026

• SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation Wei Chen^#, Xingyu Guo^#, Shuang Li, Fuwei Zhang, Meng Yuan, Jing Fan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang International Conference on Machine Learning (ICML 2026) [paper]
• FairNS: Fair Negative Sampling in Collaborative Filtering via Diffusion Models Wei Chen, Yifei Li, Shuang Li, Jing Fan, Meng Yuan, Zhao Zhang, Yakun Wang, Xiao Wang, Deqing Wang, Fuzhen Zhuang ACM Transactions on Information Systems (TOIS) [paper]
• Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation Wei Chen, Xingyu Guo, Shuang Li, Zhao Zhang, Yan Zhong, Fuzhen Zhuang, Deqing Wang International Conference on Learning Representations (ICLR 2026) [paper]
• Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation Wei Chen, Xingyu Guo, Shuang Li, Yan Zhong, Zhao Zhang, Fuzhen Zhuang, Hongrui Liu, Libang Zhang, Guo Ye, Humei He International Conference on Learning Representations (ICLR 2026) [paper]

2025

• FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu IEEE Transactions on Knowledge and Data Engineering (TKDE) [paper] [code]
• FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang International Joint Conference on Artificial Intelligence (IJCAI 2025) [paper] [code]
• Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration Kepeng Xu, Li Xu, Gang He, Wei Chen, Xianyun Wu, Wenxin Yu International Joint Conference on Artificial Intelligence (IJCAI 2025)
• HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation Meng Yuan, Zhao Zhang, Wei Chen, Chu Zhao, Tong Cai, Deqing Wang, Rui Liu, Fuzhen Zhuang ACM Transactions on Information Systems (TOIS) [paper]
• Hyperbolic Diffusion Recommender Model Meng Yuan, Yutian Xiao, Wei Chen, Chu Zhao, Deqing Wang, Fuzhen Zhuang The ACM Web Conference (WWW 2025) [paper]
• Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang AAAI Conference on Artificial Intelligence (AAAI 2025) [paper] [code]

2024

• FairGap: Fairness-aware Recommendation via Generating Counterfactual Graph Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobin Xie, Feng Xia ACM Transactions on Information Systems (TOIS) [paper]
• Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong AAAI Conference on Artificial Intelligence (AAAI 2024) [paper] [code]

2023 and Before

• A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang and Zhongshi He International Conference on Computational Linguistics (COLING 2022) [paper] [code]
• Coarse-to-Fine Attention Network via Opinion Approximate Representation for Aspect-Level Sentiment Classification Wei Chen, Wenxin Yu, Gang He, Ning Jiang and Gang He International Conference on Neural Information Processing (ICONIP 2020) Runner-up Student Paper Award [paper]

Academic Services

• Conference Reviewer: International Conference on Machine Learning (ICML) 2024-2026, International Conference on Learning Representations (ICLR) 2024-2026, Conference on Neural Information Processing Systems (NeurIPS) 2024-2025, ACM International Conference on Multimedia (ACM MM) 2024-2025, AAAI Conference on Artificial Intelligence (AAAI) 2024-2026, International Joint Conference on Artificial Intelligence (IJCAI) 2025-2026
• Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Information Systems (TOIS), Knowledge-Based Systems (KBS), Neurocomputing

Honors

• 2026.06 Beihang Excellent Academic Fund (北航卓越学术基金)
• 2026.05 Outstanding Graduate Student of Beihang University (北航优秀研究生)
• 2025.12 Young Talent Support Project of the China Association for Science and Technology Doctoral Special Program (中国科协青年人才托举工程博士生专项计划)
• 2025.10 National Scholarship (国家奖学金)
• 2022.10 National Scholarship (国家奖学金)
• 2020.12 Runner-up Student Paper Award at ICONIP (ICONIP 学生论文奖亚军)
• 2019.09 Second Prize in the China College Student Computer Design Competition (中国大学生计算机设计大赛二等奖)