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 Graph Learning, Recommendation, Trustworthy AI, and LLMs.
News
- 2026.06: ๐๐๐ Received the Beihang Excellent Academic Fund
- 2026.06: ๐๐๐ Awarded Outstanding Graduate Student of Beihang University
- 2026.05: ๐๐๐ 1 paper accepted by ICML2026
- 2026.04: ๐๐๐ 1 paper accepted by TOIS
- 2026.01: ๐๐๐ 2 papers accepted by ICLR2026
- 2025.12: ๐๐๐ Received funding from the 2025 Young Talent Support Project of the China Association for Science and Technology Doctoral Special Program
- 2025.12: ๐๐๐ 1 paper accepted by Information Fusion
- 2025.10: ๐๐๐ Received National Scholarship
- 2025.06: ๐๐๐ 1 paper accepted by TKDE
- 2025.05: ๐๐๐ 2 papers accepted by IJCAI2025
- 2024.12: ๐๐๐ 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, Fuwei Zhang, Meng Yuan, Jing Fan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang.
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
ICML2026 [paper]
[2] Wei Chen, Yifei Li, Shuang Li, Jing Fan, Meng Yuan, Zhao Zhang, Yakun Wang, Xiao Wang, Deqing Wang, Fuzhen Zhuang.
FairNS: Fair Negative Sampling in Collaborative Filtering via Diffusion Models
TOIS [paper]
[3] 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]
[4] 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] Kepeng Xu, Li Xu, Gang He, Wei Chen, Xianyun Wu, Wenxin Yu.
Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration
IJCAI2025
[4] 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
TOIS [paper]
[5] Meng Yuan, Yutian Xiao, Wei Chen, Chu Zhao, Deqing Wang, Fuzhen Zhuang.
Hyperbolic Diffusion Recommender Model
WWW2025 [paper]
[6] 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
TOIS [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: 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 and Awards
- Beihang Excellent Academic Fund (ๅ่ชๅ่ถๅญฆๆฏๅบ้), 2026
- Outstanding Graduate Student of Beihang University (ๅ่ชไผ็ง็ ็ฉถ็), 2026
- Young Talent Support Project of the China Association for Science and Technology Doctoral Special Program (ไธญๅฝ็งๅ้ๅนดไบบๆๆไธพๅทฅ็จๅๅฃซ็ไธ้กน่ฎกๅ), 2025
- National Scholarship (ๅฝๅฎถๅฅๅญฆ้), 2025
- National Scholarship (ๅฝๅฎถๅฅๅญฆ้), 2022
- The Runner-up Student Paper Award in ICONIP (ICONIP ๅญฆ็่ฎบๆๅฅไบๅ), 2020
- The 2nd in China College Student Computer Design Competition (ไธญๅฝๅคงๅญฆ็่ฎก็ฎๆบ่ฎพ่ฎกๅคง่ตไบ็ญๅฅ), 2019
