Yang, Zhenjie

9 publications

ICLR 2026 DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving Haisheng Su, Wei Wu, Feixiang Song, Junjie Zhang, Zhenjie Yang, Junchi Yan

ICLR 2026 FlowRL: Matching Reward Distributions for LLM Reasoning Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

NeurIPS 2025 Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA V2) Zhenjie Yang, Xiaosong Jia, Qifeng Li, Xue Yang, Maoqing Yao, Junchi Yan

TMLR 2025 UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu

NeurIPS 2024 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-to-End Autonomous Driving Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan

NeurIPSW 2024 LLM4Drive: A Survey of Large Language Models for Autonomous Driving Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan

ICLR 2023 GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu

NeurIPS 2023 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu

NeurIPSW 2023 Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li