Driver attention prediction based on convolution and transformers. - Chao Gou; Yuchen Zhou 002; Dan Li (J. Supercomput., 2022)

Learning from Easy to Hard Pairs: Multi-step Reasoning Network for Human-Object Interaction Detection. - Yuchen Zhou 002; Guang Tan; Mengtang Li; Chao Gou (ACM Multimedia, 2023)

Cascade Learning for Driver Facial Monitoring. - Chao Gou; Yuchen Zhou 002; Yao Xiao; Xiao Wang 002; Hui Yu 001 (IEEE Trans. Intell. Veh., 2023)

Learning From Interaction-Enhanced Scene Graph for Pedestrian Collision Risk Assessment. - Xinxin Liu; Yuchen Zhou 002; Chao Gou (IEEE Trans. Intell. Veh., 2023)

PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction. - Yuchen Zhou 002; Guang Tan; Rui Zhong; Yaokun Li; Chao Gou (IEEE Trans. Intell. Transp. Syst., 2023)

Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition. - Yuchen Zhou 002; Linkai Liu; Chao Gou (CVPR, 2024)

Driver Scanpath Prediction Based On Inverse Reinforcement Learning. - Zhixin Huang; Yuchen Zhou 002; Jie Zhu; Chao Gou (ICASSP, 2024)

Hierarchical Home Action Understanding with Implicit and Explicit Prior Knowledge. - Yuchen Zhou 002; Guang Tan; Chao Gou (ICASSP, 2024)

DrivingGen: Efficient Safety-Critical Driving Video Generation with Latent Diffusion Models. - Zipeng Guo; Yuchen Zhou 002; Chao Gou (ICME, 2024)

Dynamic Attention-Enhanced Spatio-Temporal Network for Pedestrian Collision Risk Assessment. - Hui Gao; Benfei Wang; Xinxin Liu; Yuchen Zhou 002; Chao Gou (PRCV (10), 2024)

Task-Oriented Scanpath Prediction with Spatial-Temporal Information in Driving Scenarios. - Zhixin Huang; Yuchen Zhou 002; Chao Gou (PRCV (10), 2024)

EST-TSANet: Video-Based Remote Heart Rate Measurement Using Temporal Shift Attention Network and ESTmap. - Rui Zhong; Yuchen Zhou 002; Chao Gou (IEEE Trans. Instrum. Meas., 2024)

Edge Feature-Enhanced Network for Collision Risk Assessment Using Traffic Scene Graphs. - Xinxin Liu; Yuchen Zhou 002; Yongqi Ye; Chao Gou (IEEE Intell. Transp. Syst. Mag., 2025)

UniMind: Unleashing the Power of LLMs for Unified Multi-Task Brain Decoding. - Weiheng Lu; Chunfeng Song; Jiamin Wu; Pengyu Zhu; Yuchen Zhou 002; Weijian Mai; Qihao Zheng; Wanli Ouyang (CoRR, 2025)

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding. - Yuchen Zhou 002; Jiamin Wu; Zichen Ren; Zhouheng Yao; Weiheng Lu; Kunyu Peng; Qihao Zheng; Chunfeng Song; Wanli Ouyang; Chao Gou (CoRR, 2025)

Where, What, Why: Towards Explainable Driver Attention Prediction. - Yuchen Zhou 002; Jiayu Tang; Xiaoyan Xiao; Yueyao Lin; Linkai Liu; Zipeng Guo; Hao Fei 001; Xiaobo Xia; Chao Gou (CoRR, 2025)

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models. - Yuchen Zhou 002; Jiayu Tang; Shuo Yang; Xiaoyan Xiao; Yuqin Dai; Wenhao Yang; Chao Gou; Xiaobo Xia; Tat-Seng Chua (CoRR, 2025)