📄 Profile
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.
Prior to my doctoral studies, I earned my Master’s degree from Chongqing University under the supervision of Prof. Zhongshi He.
My research interests focus on advancing the efficiency and reliability of machine learning models, specifically in Graph Learning, Recommendation, Trustworthy AI, and Large Language Models (LLMs).
I am looking for interdisciplinary collaborative research, including but not limited to, AI4Science and multi-modal understanding.
🔥 News
- 2026.01: 🎉🎉🎉 2 papers accepted by ICLR2026
- 2025.12: 🎉🎉🎉 Received funding from the 2025 Young Talent Support Project of the China Association for Science and Technology Doctoral Special Program
- 2025.12: 🎉🎉🎉 1 paper accepted by Information Fusion
- 2025.10: 🎉🎉🎉 Received National Scholarship
- 2025.06: 🎉🎉🎉 1 paper accepted by TKDE
- 2025.05: 🎉🎉🎉 2 papers accepted by IJCAI2025
- 2024.12: 🎉🎉🎉 1 paper accepted by AAAI2025
📝 Publications
A complete list can be found in my Google Scholar. # denotes co-first author.
2026
[1] Wei Chen, Xingyu Guo, Shuang Li, Zhao Zhang, Yan Zhong, Fuzhen Zhuang, Deqing Wang.
Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
ICLR2026 [paper]
[2] Wei Chen, Xingyu Guo, Shuang Li, Yan Zhong, Zhao Zhang, Fuzhen Zhuang, Hongrui Liu, Libang Zhang, Guo Ye, Humei He.
Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
ICLR2026 [paper]
2025
[1] Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu.
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
TKDE [paper] [code]
[2] Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang.
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
IJCAI2025 [paper] [code]
[3] Meng Yuan, Zhao Zhang, Wei Chen, Chu Zhao, Tong Cai, Deqing Wang, Rui Liu, Fuzhen Zhuang.
HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation
TOIS2025 [paper]
[4] Meng Yuan, Yutian Xiao, Wei Chen, Chu Zhao, Deqing Wang, Fuzhen Zhuang.
Hyperbolic Diffusion Recommender Model
WWW2025 [paper]
[5] Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang.
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI2025 [paper] [code]
2024
[1] Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobin Xie, Feng Xia.
FairGap: Fairness-aware Recommendation via Generating Counterfactual Graph
TOIS2024 [paper]
[2] Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong.
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
AAAI2024 [paper] [code]
2023 and Before
[1] Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang and Zhongshi He.
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis
COLING2022 [paper] [code]
[2] Wei Chen, Wenxin Yu, Gang He, Ning Jiang and Gang He.
Coarse-to-Fine Attention Network via Opinion Approximate Representation for Aspect-Level Sentiment Classification
ICONIP2020 (Runner-up Student Paper Award) [paper]
💬 Services
- Conference Reviewer: ICML2024-2026, ICLR2024-2026, NeurIPS2024-2025, ACM MM2024-2025, AAAI2024-2026, IJCAI2025-2026,
- Journal Reviewer: TKDE, TOIS, KBS, Neurocomputing
🎖 Honors and Awards
- Received funding from the 2025 Young Talent Support Project of the China Association for Science and Technology Doctoral Special Program
- National Scholarship, 2025
- National Scholarship, 2022
- The Runner-up Student Paper Award in ICONIP, 2020
- The 2nd in China College Student Computer Design Competition, 2019
💻 Internships
- 2024.03 - 2025.03, [Ant Group], China.