3D Object Detection and Tracking Based on Streaming Data. - Xusen Guo; Jianfeng Gu; Silu Guo; Zixiao Xu; Chengzhang Yang; Shanghua Liu; Long Cheng 007; Kai Huang 001 (ICRA, 2020)

3D Object Detection and Tracking Based on Streaming Data. - Xusen Guo; Jiangfeng Gu; Silu Guo; Zixiao Xu; Chengzhang Yang; Shanghua Liu; Long Cheng 007; Kai Huang 001 (CoRR, 2020)

A Novel Rain Removal Approach for Outdoor Dynamic Vision Sensor Event Videos. - Long Chen 005; Ni Liu; Xusen Guo; Yuhao Shen; Zijun Meng; Kai Huang 001; Xiaoqin Zhang (Frontiers Neurorobotics, 2022)

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models. - Mingxing Peng; Xusen Guo; Xianda Chen; Meixin Zhu; Kehua Chen; Hao Yang 018; Xuesong Wang 006; Yinhai Wang (CoRR, 2024)

Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models. - Xusen Guo; Qiming Zhang; Junyue Jiang; Mingxing Peng; Hao Yang 018; Meixin Zhu (CoRR, 2024)

Diffusion Models for Intelligent Transportation Systems: A Survey. - Mingxing Peng; Kehua Chen; Xusen Guo; Qiming Zhang; Hongliang Lu; Hui Zhong; Di Chen; Meixin Zhu; Hai Yang 003 (CoRR, 2024)

Automating Traffic Model Enhancement with AI Research Agent. - Xusen Guo; Xinxi Yang; Mingxing Peng; Hongliang Lu; Meixin Zhu; Hai Yang 003 (CoRR, 2024)

Safety-Critical Traffic Simulation with Guided Latent Diffusion Model. - Mingxing Peng; Ruoyu Yao; Xusen Guo; Yuting Xie; Xianda Chen; Jun Ma (CoRR, 2025)

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios. - Mingxing Peng; Yuting Xie; Xusen Guo; Ruoyu Yao; Hai Yang 003; Jun Ma (CoRR, 2025)