Safe and feasible motion generation for autonomous driving via constrained policy net. - Wei Zhan; Jiachen Li 001; Yeping Hu; Masayoshi Tomizuka (IECON, 2017)

Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. - Jiachen Li 001; Hengbo Ma; Wei Zhan; Masayoshi Tomizuka (ITSC, 2018)

Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. - Wei Zhan; Liting Sun; Yeping Hu; Jiachen Li 001; Masayoshi Tomizuka (ITSC, 2018)

Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter. - Jiachen Li 001; Wei Zhan; Masayoshi Tomizuka (Intelligent Vehicles Symposium, 2018)

Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning. - Jiachen Li 001; Hengbo Ma; Masayoshi Tomizuka (ICRA, 2019)

Conditional Generative Neural System for Probabilistic Trajectory Prediction. - Jiachen Li 001; Hengbo Ma; Masayoshi Tomizuka (IROS, 2019)

Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. - Jiachen Li 001; Hengbo Ma; Wei Zhan; Masayoshi Tomizuka (IV, 2019)

Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction. - Hengbo Ma; Jiachen Li 001; Wei Zhan; Masayoshi Tomizuka (IV, 2019)

EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning. - Jiachen Li 001; Fan Yang; Masayoshi Tomizuka; Chiho Choi (NeurIPS, 2020)

Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network. - Jiachen Li 001; Hengbo Ma; Zhihao Zhang 001; Masayoshi Tomizuka (CoRR, 2020)

EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs. - Jiachen Li 001; Fan Yang; Masayoshi Tomizuka; Chiho Choi (CoRR, 2020)

Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. - Jiachen Li 001; Wei Zhan; Yeping Hu; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2020)

Shared Cross-Modal Trajectory Prediction for Autonomous Driving. - Chiho Choi; Joon Hee Choi; Jiachen Li 001; Srikanth Malla (CVPR, 2021)

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. - Jiachen Li 001; Fan Yang; Hengbo Ma; Srikanth Malla; Masayoshi Tomizuka; Chiho Choi (ICCV, 2021)

LOKI: Long Term and Key Intentions for Trajectory Prediction. - Harshayu Girase; Haiming Gang; Srikanth Malla; Jiachen Li 001; Akira Kanehara; Karttikeya Mangalam; Chiho Choi (ICCV, 2021)

Spectral Temporal Graph Neural Network for Trajectory Prediction. - Defu Cao; Jiachen Li 001; Hengbo Ma; Masayoshi Tomizuka (ICRA, 2021)

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. - Xiaobai Ma; Jiachen Li 001; Mykel J. Kochenderfer; David Isele; Kikuo Fujimura (ICRA, 2021)

Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot. - Cheng Gong; Zirui Li; Xingyu Zhou; Jiachen Li 001; Junhui Zhou; Jianwei Gong (IROS, 2021)

Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge. - Hengbo Ma; Yaofeng Sun; Jiachen Li 001; Masayoshi Tomizuka (ITSC, 2021)

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. - Lianzhen Wei; Zirui Li; Jianwei Gong; Cheng Gong; Jiachen Li 001 (ITSC, 2021)

Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. - Rui Zhou; Hongyu Zhou; Masayoshi Tomizuka; Jiachen Li 001; Zhuo Xu (CoRR, 2021)

Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory. - Hengbo Ma; Yaofeng Sun; Jiachen Li 001; Masayoshi Tomizuka; Chiho Choi (IEEE Robotics Autom. Lett., 2021)

Relational Reasoning for Multi-Agent Systems - Jiachen Li 001 (2021)

Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation. - Hengbo Ma; Jiachen Li 001; Ramtin Hosseini; Masayoshi Tomizuka; Chiho Choi (CVPR, 2022)

Important Object Identification with Semi-Supervised Learning for Autonomous Driving. - Jiachen Li 001; Haiming Gang; Hengbo Ma; Masayoshi Tomizuka; Chiho Choi (ICRA, 2022)

Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. - Rui Zhou; Hongyu Zhou; Huidong Gao; Masayoshi Tomizuka; Jiachen Li 001; Zhuo Xu (ICRA, 2022)

Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. - Maneekwan Toyungyernsub; Esen Yel; Jiachen Li 001; Mykel J. Kochenderfer (IROS, 2022)

Learning Physical Dynamics with Subequivariant Graph Neural Networks. - Jiaqi Han; Wenbing Huang 001; Hengbo Ma; Jiachen Li 001; Josh Tenenbaum 001; Chuang Gan 001 (NeurIPS, 2022)

Interaction Modeling with Multiplex Attention. - Fan-Yun Sun; Isaac Kauvar; Ruohan Zhang; Jiachen Li 001; Mykel J. Kochenderfer; Jiajun Wu 001; Nick Haber (NeurIPS, 2022)

EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. - Jiachen Li 001; Chuanbo Hua; Jinkyoo Park; Hengbo Ma; Victoria Magdalena Dax; Mykel J. Kochenderfer (CoRR, 2022)

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. - Jiachen Li 001; Hengbo Ma; Zhihao Zhang 001; Jinning Li 002; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2022)

Robust Driving Policy Learning with Guided Meta Reinforcement Learning. - Kanghoon Lee; Jiachen Li 001; David Isele; Jinkyoo Park; Kikuo Fujimura; Mykel J. Kochenderfer (ITSC, 2023)

DRAMA: Joint Risk Localization and Captioning in Driving. - Srikanth Malla; Chiho Choi; Isht Dwivedi; Joon Hee Choi; Jiachen Li 001 (WACV, 2023)

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. - Shiqi Lei; Kanghoon Lee; Linjing Li; Jinkyoo Park; Jiachen Li 001 (AAMAS, 2024)

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. - Bernard Lange; Jiachen Li 001; Mykel J. Kochenderfer (ICRA, 2024)

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts. - Zhuo Xu; Rui Zhou; Yida Yin; Huidong Gao; Masayoshi Tomizuka; Jiachen Li 001 (ICRA, 2024)

Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. - Maneekwan Toyungyernsub; Esen Yel; Jiachen Li 001; Mykel J. Kochenderfer (IV, 2024)

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. - Enna Sachdeva; Nakul Agarwal; Suhas Chundi; Sean Roelofs; Jiachen Li 001; Mykel J. Kochenderfer; Chiho Choi; Behzad Dariush (WACV, 2024)

Graph Q-Learning for Combinatorial Optimization. - Victoria Magdalena Dax; Jiachen Li 001; Kevin Leahy 001; Mykel J. Kochenderfer (CoRR, 2024)

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. - Jiachen Li 001; Chuanbo Hua; Hengbo Ma; Jinkyoo Park; Victoria Magdalena Dax; Mykel J. Kochenderfer (CoRR, 2024)

CMP: Cooperative Motion Prediction with Multi-Agent Communication. - Zhuoyuan Wu; Yuping Wang; Hengbo Ma; Zhaowei Li; Hang Qiu 001; Jiachen Li 001 (CoRR, 2024)

Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving. - Bernard Lange; Masha Itkina; Jiachen Li 001; Mykel J. Kochenderfer (CoRR, 2024)

CoMamba: Real-time Cooperative Perception Unlocked with State Space Models. - Jinlong Li; Xinyu Liu 009; Baolu Li; Runsheng Xu; Jiachen Li 001; Hongkai Yu; Zhengzhong Tu (CoRR, 2024)

Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. - Jiachen Li 001; David Isele; Kanghoon Lee; Jinkyoo Park; Kikuo Fujimura; Mykel J. Kochenderfer (IEEE Trans. Robotics, 2024)

Disentangled Neural Relational Inference for Interpretable Motion Prediction. - Victoria Magdalena Dax; Jiachen Li 001; Enna Sachdeva; Nakul Agarwal; Mykel J. Kochenderfer (IEEE Robotics Autom. Lett., 2024)

STAMP: Scalable Task- And Model-agnostic Collaborative Perception. - Xiangbo Gao; Runsheng Xu; Jiachen Li 001; Ziran Wang; Zhiwen Fan; Zhengzhong Tu (ICLR, 2025)

Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. - Mansur M. Arief; Mike Timmerman; Jiachen Li 001; David Isele; Mykel J. Kochenderfer (IEEE Robotics Autom. Lett., 2025)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. - Jinning Li 002; Jiachen Li 001; Sangjae Bae; David Isele (IEEE Robotics Autom. Lett., 2025)

Can Large Vision Language Models Read Maps Like a Human? - Shuo Xing; Zezhou Sun; Shuangyu Xie; Kaiyuan Chen; Yanjia Huang; Yuping Wang; Jiachen Li 001; Dezhen Song; Zhengzhong Tu (CoRR, 2025)

UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving. - Yuping Wang; Xiangyu Huang; Xiaokang Sun; Mingxuan Yan; Shuo Xing; Zhengzhong Tu; Jiachen Li 001 (CoRR, 2025)

CMP: Cooperative Motion Prediction With Multi-Agent Communication. - Zehao Wang; Yuping Wang; Zhuoyuan Wu; Hengbo Ma; Zhaowei Li; Hang Qiu 001; Jiachen Li 001 (IEEE Robotics Autom. Lett., 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. - Zhiwen Fan; Jian Zhang; Renjie Li 003; Junge Zhang; Runjin Chen; Hezhen Hu; Kevin Wang; Huaizhi Qu; Dilin Wang; Zhicheng Yan 001; Hongyu Xu; Justin Theiss; et al. (CoRR, 2025)