Zhengyu Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
29
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*AAAI7 papers
- A*EMNLP5 papers
- A*ICLR5 papers
- MulticonferenceICASSP4 papers
- A*WWW3 papers
- BIJCNN3 papers
- A*ACL2 papers
- ACIKM2 papers
- A*KDD2 papers
- BICIP2 papers
- BQoMEX1 paper
- CICA3PP1 paper
- CHPCC1 paper
- AMICCAI1 paper
- A*MICRO1 paper
- CICANN1 paper
- A*ICCV1 paper
- A*ICDE1 paper
- A*ICML1 paper
- A*IJCAI1 paper
- A*CVPR1 paper
- AECIR1 paper
- A*DAC1 paper
- BPRICAI1 paper
- CICCD1 paper
- CIECON1 paper
- AISLPED1 paper
- BPAKDD1 paper
- CCloudCom1 paper
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. | Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang |
| 2026 | AAAI | Dual-Teacher Interactive Knowledge Distillation Network for Text-to-Visible & Infrared Person Retrieval. | Chenglong Li, Zhengyu Chen, Yifei Deng, Aihua Zheng |
| 2026 | AAAI | Scaling and Transferability of Annealing Strategies in Large Language Model Training. | Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li |
| 2026 | ACL | Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation. | Yuxuan Si, Zheqi Lv, Chengxi Zang, Zhengyu Chen, Fei Wu |
| 2026 | QoMEX | Q-Agent: An MLLM-Driven Framework for Universal Visual Quality Assessment. | Peihang Chen, Huiyu Duan, Zhengyu Chen, Yixuan Gao, Zitong Xu, Yuqin Cao, Sijing Wu, Yunhao Li, Jiarui Wang, Kang Fu, Wei Sun, Yitong Chen, Xiongkuo Min, Guangtao Zhai |
| 2025 | AAAI | Attributive Reasoning for Hallucination Diagnosis of Large Language Models. | Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao |
| 2025 | ACL | Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. | Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang |
| 2025 | EMNLP | Explaining Length Bias in LLM-Based Preference Evaluations. | Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong |
| 2025 | EMNLP | SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity. | Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye |
| 2025 | ICA3PP | Federated Learning with Dual-View Feature Fusion and Composite Aggregation. | Wenjian Xu, Yuyang Ji, Ke He, Zhengyu Chen, Xiaohong Qian, Jie Huang, Lei Zhang, Jian Wan |
| 2025 | ICLR | SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. | Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar |
| 2025 | ICLR | On a Connection Between Imitation Learning and RLHF. | Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar |
| 2025 | ICLR | Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. | Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu |
| 2025 | WWW | Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. | Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang |
| 2024 | AAAI | Learning to Reweight for Generalizable Graph Neural Network. | Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu |
| 2024 | CIKM | Robust Heterophily Graph Learning via Uniformity Augmentation. | Xusheng Yang, Zhengyu Chen, Yuexian Zou |
| 2024 | EMNLP | Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. | Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding |
| 2024 | EMNLP | Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. | Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang |
| 2024 | HPCC | Dynamic resource management for microservices based on deep reinforcement learning. | Huanxing Zhu, Boyi Tang, Yijun Mo, Zhengyu Chen |
| 2024 | ICASSP | Pareto Graph Self-Supervised Learning. | Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang |
| 2024 | ICLR | Let Models Speak Ciphers: Multiagent Debate through Embeddings. | Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang |
| 2024 | MICCAI | A Dual-Stream Network for Langerhans' Cells Segmentation in CCM Images. | Jun Wu, Jinshu Gao, Jingjie Lin, Zeyu Huang, Yang Liu, Zhengyu Chen, Qin Long, Jianchun Zhao, Dayong Ding |
| 2024 | MICRO | SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. | Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Xiaoyan Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Zhengyu Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun |
| 2024 | WWW | Intelligent Model Update Strategy for Sequential Recommendation. | Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang |
| 2023 | EMNLP | MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. | Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao |
| 2023 | ICANN | LogE-Net: Logic Evolution Network for Temporal Knowledge Graph Forecasting. | Yuxuan Liu, Yijun Mo, Zhengyu Chen, Huiyu Liu |
| 2023 | ICCV | MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. | Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang |
| 2023 | ICLR | Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs. | Xusheng Zhang, Wei Zhang, Yishu Gong, Liangliang Yang, Jianyu Zhang, Zhengyu Chen, Sihong He |
| 2023 | KDD | Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. | Teng Xiao, Zhengyu Chen, Suhang Wang |
| 2023 | WWW | DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. | Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu |
| 2022 | AAAI | Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. | Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen |
| 2022 | CIKM | Representation Matters When Learning From Biased Feedback in Recommendation. | Teng Xiao, Zhengyu Chen, Suhang Wang |
| 2022 | ICDE | BA-GNN: On Learning Bias-Aware Graph Neural Network. | Zhengyu Chen, Teng Xiao, Kun Kuang |
| 2022 | ICIP | Undersampled Dynamic Fourier Ptychography via Phaseless PCA. | Zhengyu Chen, Seyedehsara Nayer, Namrata Vaswani |
| 2022 | ICML | The Role of Deconfounding in Meta-learning. | Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei |
| 2022 | IJCAI | End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. | Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen |
| 2021 | AAAI | Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. | Zhengyu Chen, Ziqing Xu, Donglin Wang |
| 2021 | CVPR | Pareto Self-Supervised Training for Few-Shot Learning. | Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang |
| 2021 | ECIR | Improving Cold-Start Recommendation via Multi-prior Meta-learning. | Zhengyu Chen, Donglin Wang, Shiqian Yin |
| 2021 | ICASSP | Multi-Initialization Meta-Learning with Domain Adaptation. | Zhengyu Chen, Donglin Wang |
| 2021 | IJCNN | Adaptive Adversarial Training for Meta Reinforcement Learning. | Shiqi Chen, Zhengyu Chen, Donglin Wang |
| 2021 | IJCNN | Multi-Modal Meta Continual Learning. | Sibo Gai, Zhengyu Chen, Donglin Wang |
| 2021 | KDD | Learning How to Propagate Messages in Graph Neural Networks. | Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang |
| 2019 | DAC | Digital Compatible Synthesis, Placement and Implementation of Mixed-Signal Time-Domain Computing. | Zhengyu Chen, Hai Zhou, Jie Gu |
| 2019 | PRICAI | Deep Transfer Collaborative Filtering for Recommender Systems. | Sibo Gai, Feng Zhao, Yachen Kang, Zhengyu Chen, Donglin Wang, Ao Tang |
| 2018 | ICASSP | Low Rank Fourier Ptychography. | Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani |
| 2018 | ICASSP | Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. | Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani |
| 2018 | ICCD | R-Accelerator: A Reconfigurable Accelerator with RRAM Based Logic Contraction and Resource Optimization for Application Specific Computing. | Zhengyu Chen, Hai Zhou, Jie Gu |
| 2018 | ICIP | Model Corrected Low Rank Ptychography. | Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani |
| 2017 | IECON | A novel hybrid DC circuit breaker for nodes in multi-terminal DC system. | Tianyu Wei, Zhanqing Yu, Rong Zeng, Zhengyu Chen, Xiangyu Zhang, Weijie Wen, Yulong Huang |
| 2016 | ISLPED | Analysis and Design of Energy Efficient Time Domain Signal Processing. | Zhengyu Chen, Jie Gu |
| 2014 | PAKDD | Tag Completion and Refinement for Web Service via Low-Rank Matrix Completion. | Lei Chen, Geng Yang, Zhengyu Chen, Fu Xiao, Xuxia Li |
| 2012 | CloudCom | A load-balanced data aggregation scheduling for duty-cycled wireless sensor networks. | Zhengyu Chen, Geng Yang, Lei Chen, Jian Xu, Haiyong Wang |
| 2007 | IJCNN | Independent Sub-Band Functions: Model and Applications. | Xiefeng Cheng, Yan Zheng, Yewei Tao, Zhengyu Chen, Yuehui Chen |