Huayu Chen

According to our database, Huayu Chen authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

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

2024

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

Huayu Chen, Hang Su, Peize Sun, Jun Zhu

CoRR, 2024

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

CoRR, 2024

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

Huayu Chen, Kaiwen Zheng, 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

CoRR, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.

Huayu Chen, Guande He, Hang Su, Jun Zhu

CoRR, 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