Publications
Please refer to Prof. Jiachen Li’s Google Scholar for a complete list of publications.
social-navigation
autonomous-driving
human-robot-interaction/collaboration
embodied-ai
foundation-models
vision-language
multi-agent/robot-systems
mobile-manipulation
cooperative-perception
reinforcement-learning
graph-neural-networks
generative-models
relational-reasoning
safety
generalization/robustness
uncertainty-quantification
explainability/interpretability
meta-learning
trajectory-prediction
occupancy-prediction
human-intention/motion-prediction
multi-object-tracking
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Recent Highlights
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation
J. Li, D. Isele, K. Lee, J. Park, K. Fujimura, and M. J. Kochenderfer
IEEE Transactions on Robotics (T-RO)
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
J. Yao, X. Zhang, Y. Xia, Z. Wang, A. K. Roy-Chowdhury, and J. Li
under review
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner
X. Zhang, H. Qin, F. Wang, Y. Dong, and J. Li
International Conference on Robotics and Automation (ICRA 2025)
CMP: Cooperative Motion Prediction with Multi-Agent Communication
Z. Wang*, Y. Wang*, Z. Wu*, H. Ma, Z. Li, H. Qiu, and J. Li
IEEE Robotics and Automation Letters (RA-L)
All
Under Review / Preprints
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
J. Yao, X. Zhang, Y. Xia, Z. Wang, A. K. Roy-Chowdhury, and J. Li
under review
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
J. Li*, C. Hua*, J. Park, H. Ma, V. Dax, and M. J. Kochenderfer
submitted to IEEE Transactions on Robotics (T-RO), under review
Self-Supervised Multi-Future Occupancy Forecasting for Autonomous Driving
B. Lange, M. Itkina, J. Li, and M. J. Kochenderfer
submitted to IEEE Robotics and Automation Letters (RA-L), under review
CoMamba: Real-time Cooperative Perception Unlocked with State Space Models
J. Li, X. Liu, B. Li, R. Xu, J. Li, H. Yu, and Z. Tu
under review
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning
U. Ghosh, D. Raychaudhuri, J. Li, K. Karydis, and A. Roy-Chowdhury
under review
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
H. Kim, K. Lee, J. Park, J. Li, and J. Park
under review
Can Large Vision Language Models Read Maps Like a Human?
S. Xing, Z. Sun, S. Xie, K. Chen, Y. Huang, Y. Wang, J. Li, D. Song, and Z. Tu
under review
2025
CMP: Cooperative Motion Prediction with Multi-Agent Communication
Z. Wang*, Y. Wang*, Z. Wu*, H. Ma, Z. Li, H. Qiu, and J. Li
IEEE Robotics and Automation Letters (RA-L)
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner
X. Zhang, H. Qin, F. Wang, Y. Dong, and J. Li
International Conference on Robotics and Automation (ICRA 2025)
STAMP: Scalable Task And Model-agnostic Collaborative Perception
X. Gao, R. Xu, J. Li, Z. Wang, Z. Fan, and Z. Tu
International Conference on Learning Representations (ICLR 2025)
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
J. Li, J. Li, S. Bae, and D. Isele
IEEE Robotics and Automation Letters (RA-L)
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
S. Nag, U. Ghosh, S. Bose, C. Ta, J. Li, and A. Roy-Chowdhury
International Conference on Computer Vision and Pattern Recognition (CVPR 2025)
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments
M. Arief*, M. Timmerman*, J. Li, D. Isele, and M. J. Kochenderfer
IEEE Robotics and Automation Letters (RA-L)
2024
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation
J. Li, D. Isele, K. Lee, J. Park, K. Fujimura, and M. J. Kochenderfer
IEEE Transactions on Robotics (T-RO)
MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Z. Xu*, R. Zhou*, Y. Yin*, H. Gao, M. Tomizuka, and J. Li
International Conference on Robotics and Automation (ICRA 2024)
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
B. Lange, J. Li, and M. J. Kochenderfer
International Conference on Robotics and Automation (ICRA 2024)
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
S. Lei*, K. Lee*, L. Li, J. Park, and J. Li
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
Rank2Tell: A Multimodal Dataset for Joint Driving Importance Ranking and Reasoning
E. Sachdeva*, N. Agarwal*, S. Chundi, S. Roelofs, J. Li, C. Choi, M. J. Kochenderfer, and B. Dariush
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving
M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer
IEEE Intelligent Vehicles Symposium (IV 2024)
2023
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints
J. Li, X. Shi*, F. Chen*, J. Stroud*, Z. Zhang, …, J. Kang, K. Refaat, W. Yang, E. Le, and C. Li
International Conference on Robotics and Automation (ICRA 2023)
Robust Driving Policy Learning with Guided Meta Reinforcement Learning
K. Lee*, J. Li*, D. Isele, J. Park, K. Fujimura, and M. J. Kochenderfer
IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)
Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments
K. Li, Y. Chen, M. Shan, J. Li, S. Worrall, and E. Nebot
IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)
DRAMA: Joint Risk Localization and Reasoning in Driving Scenarios
S. Malla, C. Choi, J. H. Choi, I. Dwivedi, and J. Li
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)
A Cognition-Inspired Trajectory Prediction Method for Vehicles in Interactive Scenarios
S. Xie, J. Li, and J. Wang
IET Intelligent Transport Systems
2022
Interaction Modeling with Multiplex Attention
F. Sun, I. Kauvar, R. Zhang, J. Li, M. J. Kochenderfer, J. Wu, and N. Haber
Neural Information Processing Systems (NeurIPS 2022)
Learning Physical Dynamics with Subequivariant Graph Neural Networks
J. Han, W. Huang, H. Ma, J. Li, J. B. Tenenbaum, and C. Gan
Neural Information Processing Systems (NeurIPS 2022)
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
J. Li*, H. Gang*, H. Ma, M. Tomizuka, and C. Choi
International Conference on Robotics and Automation (ICRA 2022)
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting
R. Zhou, H. Zhou, M. Tomizuka, J. Li*, and Z. Xu*
International Conference on Robotics and Automation (ICRA 2022)
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer
IEEE/RSJ International Conference on Robotics and Systems (IROS 2022)
Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation
H. Ma, J. Li, R. Hosseini, M. Tomizuka, and C. Choi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022, Oral)
Graph Q-Learning for Combinatorial Optimization
V. Dax, J. Li, K. Leahy, and M. J. Kochenderfer
Deep Reinforcement Learning Workshop, NeurIPS 2022
2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
J. Li, F. Yang, H. Ma, S. Malla, M. Tomizuka, and C. Choi
IEEE/CVF International Conference on Computer Vision (ICCV 2021)
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
C. Choi, J. H. Choi, J. Li, and S. Malla
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021, Oral)
LOKI: Long Term and Key Intentions for Trajectory Prediction
H. Gang*, H. Girase*, S. Malla, J. Li, A. Kanehara, K. Mangalam, and C. Choi
IEEE/CVF International Conference on Computer Vision (ICCV 2021)
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
J. Li, H. Ma, Z. Zhang, J. Li, and M. Tomizuka
IEEE Transactions on Intelligent Transportation Systems
Continual Multi-agent Interaction Behavior Prediction with Conditional Generative Memory
H. Ma*, Y. Sun*, J. Li, M. Tomizuka, and C. Choi
IEEE Robotics and Automation Letters (RA-L)
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
X. Ma, J. Li, M. J. Kochenderfer, D. Isele, and K. Fujimura
International Conference on Robotics and Automation (ICRA 2021)
Spectral Temporal Graph Neural Network for Trajectory Prediction
D. Cao*, J. Li*, H. Ma, and M. Tomizuka
International Conference on Robotics and Automation (ICRA 2021)
Multi-agent Driving Behavior Prediction across Different Scenarios with Self-supervised Domain Knowledge
H. Ma*, Y. Sun*, J. Li, and M. Tomizuka
IEEE Intelligent Transportation Systems Conference (ITSC 2021)
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
L. Wei, Z. Li, J. Gong, C. Gong, and J. Li
IEEE Intelligent Transportation Systems Conference (ITSC 2021)
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot
C. Gong, X. Zhou, Z. Li, J. Li, J. Gong, and J. Zhou
IEEE/RSJ International Conference on Robotics and Systems (IROS 2021)
2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
J. Li*, F. Yang*, M. Tomizuka, and C. Choi
Neural Information Processing Systems (NeurIPS 2020)
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
J. Li, W. Zhan, Y. Hu, and M. Tomizuka
IEEE Transactions on Intelligent Transportation Systems
Social-WaGDAT: Interaction-Aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
J. Li, H. Ma, Z. Zhang, and M. Tomizuka
arXiv preprint
2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
J. Li*, H. Ma*, and M. Tomizuka
International Conference on Robotics and Automation (ICRA 2019)
Conditional Generative Neural System for Probabilistic Trajectory Prediction
J. Li, H. Ma, and M. Tomizuka
IEEE/RSJ International Conference on Robotics and Systems (IROS 2019)
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
J. Li, H. Ma, W. Zhan, and M. Tomizuka
IEEE Intelligent Vehicles Symposium (IV 2019)
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction
H. Ma, J. Li, W. Zhan, and M. Tomizuka
IEEE Intelligent Vehicles Symposium (IV 2019)
2018
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real
J. Li, H. Ma, W. Zhan, and M. Tomizuka
IEEE Intelligent Transportation Systems Conference (ITSC 2018)
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
W. Zhan, L. Sun, Y. Hu, J. Li, and M. Tomizuka
IEEE Intelligent Transportation Systems Conference (ITSC 2018)
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter
J. Li, W. Zhan, and M. Tomizuka
IEEE Intelligent Vehicles Symposium (IV 2018, Oral)
2017
Safe and Feasible Motion Generation for Autonomous Driving via Constrained Policy Net
W. Zhan, J. Li, Y. Hu, and M. Tomizuka
Annual Conference of the Industrial Electronics Society (IECON 2017)
2016
A Novel Variable Selection Approach for Redundant Information Elimination Purpose of Process Control
J. Li, C. Duan, and Z. Fei
IEEE Transactions on Industrial Electronics
Finite-time H∞ Control of Switched Systems with Mode-dependent Average Dwell Time
S. Shi, Z. Fei, and J. Li
Journal of the Franklin Institute
A Variable Selection Aided Residual Generator Design Approach for Process Control and Monitoring
C. Duan, Z. Fei, and J. Li
Neurocomputing