Face Detection Based on Receptive Field Enhanced Multi-Task Cascaded Convolutional Neural Networks. - Xiaochao Li; Zhenjie Yang 001; Hongwei Wu (IEEE Access, 2020)

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation. - Ming Zhang 037; Shenghan Zhang; Zhenjie Yang 001; Lekai Chen; Jinliang Zheng; Chao Yang 026; Chuming Li; Hang Zhou 009; Yazhe Niu; Yu Liu 015 (ICLR, 2023)

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. - Yazhe Niu; Yuan Pu; Zhenjie Yang 001; Xueyan Li; Tong Zhou; Jiyuan Ren; Shuai Hu; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2023)

LLM4Drive: A Survey of Large Language Models for Autonomous Driving. - Zhenjie Yang 001; Xiaosong Jia; Hongyang Li 001; Junchi Yan (CoRR, 2023)

Normalization Enhances Generalization in Visual Reinforcement Learning. - Lu Li; Jiafei Lyu; Guozheng Ma; Zilin Wang 002; Zhenjie Yang 001; Xiu Li 001; Zhiheng Li 001 (AAMAS, 2024)

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. - Xiaosong Jia; Zhenjie Yang 001; Qifeng Li; Zhiyuan Zhang 010; Junchi Yan (NeurIPS, 2024)

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2). - Zhenjie Yang 001; Xiaosong Jia; Qifeng Li; Xue Yang 005; Maoqing Yao; Junchi Yan (NeurIPS, 2025)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models. - Yuan Pu; Yazhe Niu; Zhenjie Yang 001; Jiyuan Ren; Hongsheng Li 001; Yu Liu 015 (Trans. Mach. Learn. Res., 2025)

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving. - Zhenjie Yang 001; Yilin Chai; Xiaosong Jia; Qifeng Li; Yuqian Shao; Xuekai Zhu; Haisheng Su; Junchi Yan (CoRR, 2025)

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; et al. (CoRR, 2025)

ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying. - Muyun Jiang; Shuailei Zhang; Zhenjie Yang 001; Mengjun Wu; Weibang Jiang; Zhiwei Guo; Wei Zhang 266; Rui Liu 034; Shangen Zhang; Yong Li 032; Yi Ding 012; Cuntai Guan (CoRR, 2025)

DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving. - Haisheng Su; Wei Wu 021; Feixiang Song; Junjie Zhang; Zhenjie Yang 001; Junchi Yan (CoRR, 2026)

Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models. - Xiaosong Jia; Yuqian Shao; Zhenjie Yang 001; Qifeng Li; Zhiyuan Zhang 010; Junchi Yan (CoRR, 2026)

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization. - Xiaosong Jia; Bowen Yang; Zuhao Ge; Xian Nie; Yuchen Zhou; Cunxin Fan; Yufeng Li; Yilin Chai; Chao Jing; Zijian Liang; Qingwen Bu; Haidong Cao; et al. (CoRR, 2026)