Huayu Chen

According to our database, Huayu Chen authored at least 39 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Quantifying Emotional Patterns for EEG-Based Emotion Recognition: An Interpretable Study on EEG Individual Differences.

Huayu Chen, Xiaowei Li, Xuexiao Shao, Huanhuan He, Junxiang Li, Jing Zhu, Shuting Sun, Bin Hu

IEEE Trans. Affect. Comput., 2026

SS-NeRF: Shine-sphere rendering for neural radiance fields.

Yihan Yang, Tongyuan Huang, Zhixing Zhang, Chunyuan Liu, Huayu Chen, Zipeng Wu

Pattern Recognit., 2026

sEMG-based real-time speech synthesis with feature distillation and dynamic chunk convolution.

Yang Liu, Chen Lv, Yi Li, Huayu Chen, Yan Chen, Longhan Xie

Appl. Soft Comput., 2026

Latent Multi-Branch Diffusion Model for Addressing Class Imbalance in Medical Signal Classification.

Zipeng Wu, Tongyuan Huang, Chunyuan Liu, Yangjian Wang, Shidong Xiong, Huayu Chen

Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2025

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.

Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu

CoRR, December, 2025

Data-regularized Reinforcement Learning for Diffusion Models at Scale.

Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon

CoRR, December, 2025

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.

Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

CoRR, October, 2025

VideoArtGS: Building Digital Twins of Articulated Objects from Monocular Video.

Yu Liu, Baoxiong Jia, Ruijie Lu, Chuyue Gan, Huayu Chen, Junfeng Ni, Song-Chun Zhu, Siyuan Huang

CoRR, September, 2025

DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou

CoRR, September, 2025

Toward the Construction of Affective Brain-Computer Interface: A Systematic Review.

Huayu Chen, Junxiang Li, Huanhuan He, Jing Zhu, Shuting Sun, Xiaowei Li, Bin Hu

ACM Comput. Surv., June, 2025

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding

CoRR, May, 2025

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning.

Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang

CoRR, May, 2025

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning.

Alisson G. Azzolini, Hannah Brandon, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang

CoRR, March, 2025

Exploratory Diffusion Policy for Unsupervised Reinforcement Learning.

Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu

CoRR, February, 2025

Process Reinforcement through Implicit Rewards.

Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding

CoRR, February, 2025

VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition.

Huayu Chen, Junxiang Li, Huanhuan He, Shuting Sun, Jing Zhu, Xiaowei Li, Bin Hu

Knowl. Based Syst., 2025

Depression recognition using high-order generalized multilayer brain functional network fused with EEG multi-domain information.

Shanshan Qu, Dixin Wang, Chang Yan, Na Chu, Zhigang Li, Gang Luo, Huayu Chen, Xuesong Liu, Xuan Zhang, Qunxi Dong, Xiaowei Li, Shuting Sun, Bin Hu

Inf. Fusion, 2025

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.

Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Free Process Rewards without Process Labels.

Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Visual Generation Without Guidance.

Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment.

Huayu Chen, Hang Su, Peize Sun, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Assessing Stability and Consistency in EEG-Based Functional Brain Network Construction Methods.

Fudi Qin, Huayu Chen, Huiwen Guo, Xiaowei Li, Shuting Sun, Bin Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Free Process Rewards without Process Labels.

Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

CoRR, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.

Huayu Chen, Guande He, Hang Su, Jun Zhu

CoRR, 2024

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory.

Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control.

Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.

Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Score Regularized Policy Optimization through Diffusion Behavior.

Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals.

Shuting Sun, Huayu Chen, Gang Luo, Chang Yan, Qunxi Dong, Xuexiao Shao, Xiaowei Li, Bin Hu

IEEE J. Biomed. Health Informatics, July, 2023

Personal-Zscore: Eliminating Individual Difference for EEG-Based Cross-Subject Emotion Recognition.

Huayu Chen, Shuting Sun, Jianxiu Li, Ruilan Yu, Nan Li, Xiaowei Li, Bin Hu

IEEE Trans. Affect. Comput., 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.

Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.

Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Tianshou: A Highly Modularized Deep Reinforcement Learning Library.

Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu

J. Mach. Learn. Res., 2022

Weight-based Channel-model Matrix Framework: a reasonable solution for EEG-based cross-dataset emotion recognition.

Huayu Chen, Huanhuan He, Shuting Sun, Jianxiu Li, Xuexiao Shao, Junxiang Li, Xiaowei Li, Bin Hu

CoRR, 2022

2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library.

Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu

CoRR, 2021

2020

A study of resting-state EEG biomarkers for depression recognition.

Shuting Sun, Jianxiu Li, Huayu Chen, Tao Gong, Xiaowei Li, Bin Hu

CoRR, 2020

EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers.

Shuting Sun, Huayu Chen, Xuexiao Shao, Liangliang Liu, Xiaowei Li, Bin Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020