Lifting Posture Prediction With Generative Models for Improving Occupational Safety. - Li Li; Saiesh Prabhu; Ziyang Xie; Hanwen Wang; Lu Lu; Xu Xu (IEEE Trans. Hum. Mach. Syst., 2021)

Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer. - Ziyang Xie; Li Li; Xu Xu (Hum. Factors, 2022)

MV-Map: Offboard HD Map Generation with Multi-view Consistency. - Ziyang Xie; Ziqi Pang; Yu-Xiong Wang (ICCV, 2023)

S-NeRF: Neural Radiance Fields for Street Views. - Ziyang Xie; Junge Zhang; Wenye Li 002; Feihu Zhang; Li Zhang 001 (ICLR, 2023)

Frozen Transformers in Language Models Are Effective Visual Encoder Layers. - Ziqi Pang; Ziyang Xie; Yunze Man; Yu-Xiong Wang (ICLR, 2024)

Automating the Diagnosis of Human Vision Disorders by Cross-modal 3D Generation. - Li Zhang 040; Yuankun Yang; Ziyang Xie; Zhiyuan Yuan; Jianfeng Feng; Xiatian Zhu; Yu-Gang Jiang 001 (CoRR, 2024)

Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning. - Chun Wang; Jiexiao Chen; Ziyang Xie; Jianke Zou (CoRR, 2024)

Factors Affecting Workers' Mental Stress in Handover Activities During Human-Robot Collaboration. - Lu Lu; Ziyang Xie; Hanwen Wang; Bingyi Su; Sehee Jung; Xu Xu (Hum. Factors, 2024)

Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning. - Ziyang Xie; Lu Lu; Hanwen Wang; Bingyi Su; Yunan Liu; Xu Xu (Hum. Factors, 2024)

Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation. - Ziyang Xie; Zhizheng Liu; Zhenghao Peng; Wayne Wu; Bolei Zhou (CVPR, 2025)

S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation. - Yurui Chen; Junge Zhang; Ziyang Xie; Wenye Li 002; Feihu Zhang; Jiachen Lu; Li Zhang 040 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)