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Zhengyu Chen 0001
Person information
- affiliation: Westlake University, Hangzhou, China
- affiliation: Zhejiang University, Hangzhou, China
Other persons with the same name
- Zhengyu Chen — disambiguation page
- Zhengyu Chen 0002
— Northwestern University, Evanston, IL, USA
- Zhengyu Chen 0003
- Zhengyu Chen 0004
- Zhengyu Chen 0005 — Shanghai University, China
- Zhengyu Chen 0006
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2020 – today
- 2024
- [j2]Shengyu Zhang
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 103:1-103:27 (2024) - [c28]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [c27]Xusheng Yang
Robust Heterophily Graph Learning via Uniformity Augmentation. CIKM 2024: 4193-4197 - [c26]Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding:
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. EMNLP (Findings) 2024: 1396-1409 - [c25]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. EMNLP 2024: 5583-5595 - [c24]Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang:
Pareto Graph Self-Supervised Learning. ICASSP 2024: 6630-6634 - [c23]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR 2024 - [c22]Zheqi Lv
Intelligent Model Update Strategy for Sequential Recommendation. WWW 2024: 3117-3128 - [i17]Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang:
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. CoRR abs/2403.10572 (2024) - [i16]Jinluan Yang, Zhengyu Chen, Teng Xiao, Wenqiao Zhang, Yong Lin, Kun Kuang:
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. CoRR abs/2408.09490 (2024) - [i15]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. CoRR abs/2410.05661 (2024) - [i14]Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding:
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. CoRR abs/2410.07074 (2024) - [i13]Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu:
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. CoRR abs/2410.13910 (2024) - 2023
- [c21]Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV 2023: 11887-11897 - [c20]Yunkai Dang, Meijun Sun, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Donglin Wang:
Multi-Level Correlation Network For Few-Shot Image Classification. ICME 2023: 2909-2914 - [c19]Zhengyu Chen
Invariant Graph Neural Network for Out-of-Distribution Nodes. ICMLC 2023: 192-196 - [c18]Teng Xiao
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. KDD 2023: 2764-2775 - [c17]Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang:
Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS 2023 - [c16]Zheqi Lv
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW 2023: 3077-3085 - [i12]Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu:
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR abs/2302.07335 (2023) - [i11]Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
Learning How to Propagate Messages in Graph Neural Networks. CoRR abs/2310.00697 (2023) - [i10]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR abs/2310.06272 (2023) - [i9]Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR abs/2310.18884 (2023) - [i8]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023) - 2022
- [c15]Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen:
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. AAAI 2022: 7558-7566 - [c14]Teng Xiao
Representation Matters When Learning From Biased Feedback in Recommendation. CIKM 2022: 2220-2229 - [c13]Zhengyu Chen
BA-GNN: On Learning Bias-Aware Graph Neural Network. ICDE 2022: 3012-3024 - [c12]Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei:
The Role of Deconfounding in Meta-learning. ICML 2022: 10161-10176 - [c11]Tiancheng Huang, Donglin Wang, Yuan Fang
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. IJCAI 2022: 2087-2093 - [c10]Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang:
Decoupled Self-supervised Learning for Graphs. NeurIPS 2022 - [i7]Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Decoupled Self-supervised Learning for Non-Homophilous Graphs. CoRR abs/2206.03601 (2022) - [i6]Teng Xiao, Zhengyu Chen, Suhang Wang
Towards Bridging Algorithm and Theory for Unbiased Recommendation. CoRR abs/2206.03851 (2022) - [i5]Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang:
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR abs/2206.14366 (2022) - [i4]Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu:
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR abs/2209.05227 (2022) - 2021
- [c9]Zhengyu Chen, Ziqing Xu, Donglin Wang:
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. AAAI 2021: 4010-4018 - [c8]Zhengyu Chen
Pareto Self-Supervised Training for Few-Shot Learning. CVPR 2021: 13663-13672 - [c7]Zhengyu Chen
Improving Cold-Start Recommendation via Multi-prior Meta-learning. ECIR (2) 2021: 249-256 - [c6]Zhengyu Chen
Multi-Initialization Meta-Learning with Domain Adaptation. ICASSP 2021: 1390-1394 - [c5]Shiqi Chen
Adaptive Adversarial Training for Meta Reinforcement Learning. IJCNN 2021: 1-8 - [c4]Sibo Gai, Zhengyu Chen
Multi-Modal Meta Continual Learning. IJCNN 2021: 1-8 - [c3]Teng Xiao
Learning How to Propagate Messages in Graph Neural Networks. KDD 2021: 1894-1903 - [i3]Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen:
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. CoRR abs/2104.05043 (2021) - [i2]Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang:
Pareto Self-Supervised Training for Few-Shot Learning. CoRR abs/2104.07841 (2021) - [i1]Shiqi Chen, Zhengyu Chen, Donglin Wang:
Adaptive Adversarial Training for Meta Reinforcement Learning. CoRR abs/2104.13302 (2021) - 2020
- [j1]Shuliang Wang, Jingting Yang
Global and Local Tensor Factorization for Multi-criteria Recommender System. Patterns 1(2): 100023 (2020)
2010 – 2019
- 2019
- [c2]Zhengyu Chen, Sibo Gai, Donglin Wang:
Deep Tensor Factorization for Multi-Criteria Recommender Systems. IEEE BigData 2019: 1046-1051 - [c1]Sibo Gai, Feng Zhao, Yachen Kang, Zhengyu Chen
Deep Transfer Collaborative Filtering for Recommender Systems. PRICAI (3) 2019: 515-528
Coauthor Index
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last updated on 2024-12-11 20:38 CET by the dblp team
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