Trustworthy Autonomous Systems Laboratory (TASL)

We Enhance Robotics and AI

Publications

Please refer to Prof. Jiachen Li's Google Scholar for a complete list of publications.

Under Review / Preprints
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
submitted to IEEE Transactions on Robotics (T-RO), under review
J. Li*, C. Hua*, J. Park, H. Ma, V. Dax, and M. J. Kochenderfer
arXiv
 
CMP: Cooperative Motion Prediction with Multi-Agent Communication
under review
Z. Wu*, Y. Wang*, H. Ma, Z. Li, H. Qiu, and J. Li
arXiv
 
The Generalization Gap of Locally Unordered GNNs
under review
V. Dax, J. Li, and M. J. Kochenderfer
arXiv (coming soon)

 

2024
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation
IEEE Transactions on Robotics (T-RO)
J. Li, D. Isele, K. Lee, J. Park, K. Fujimura, and M. J. Kochenderfer
arXiv
 

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
International Conference on Robotics and Automation (ICRA 2024) 
B. Lange, J. Li, and M. J. Kochenderfer
arXiv                                                                                                                                                                                      

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
International Conference on Robotics and Automation (ICRA 2024) 
Z. Xu*, R. Zhou*, Y. Yin*, H. Gao, M. Tomizuka, and J. Li
arXiv          

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
S. Lei*, K. Lee*, L. Li, J. Park, and J. Li
AAMAS arXiv
 

Rank2Tell: A Multimodal Dataset for Joint Driving Importance Ranking and Reasoning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)
E. Sachdeva*, N. Agarwal*, S. Chundi, S. Roelofs, J. Li, C. Choi, M. J. Kochenderfer, and B. Dariush
arXiv

Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving
IEEE Intelligent Vehicles Symposium (IV 2024)
M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer
arXiv

 

2023
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints
International Conference on Robotics and Automation (ICRA 2023)
J. Li, X. Shi*, F. Chen*, J. Stroud*, Z. Zhang, T. Lan, J. Mao, J. Kang, K. Refaat, W. Yang, E. Le and C. Li
arXiv
 

Robust Driving Policy Learning with Guided Meta Reinforcement Learning
IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)
K. Lee*, J. Li*, D. Isele, J. Park, K. Fujimura, and M. J. Kochenderfer
arXiv

Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments
IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)
K. Li, Y. Chen, M. Shan, J. Li, S. Worrall, and E. Nebot
arXiv

DRAMA: Joint Risk Localization and Reasoning in Driving Scenarios
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)
S. Malla, C. Choi, J. H. Choi, I. Dwivedi, and J. Li
WACV arXiv
 
A Cognition-Inspired Trajectory Prediction Method for Vehicles in Interactive Scenarios
IET Intelligent Transport Systems
S. Xie, J. Li and J. Wang
IET

 

2022
Interaction Modeling with Multiplex Attention
In Neural Information Processing Systems (NeurIPS), 2022.
F. Sun, I. Kauvar, R. Zhang, J. Li, M. J. Kochenderfer, J. Wu, and N. Haber
NeurIPS Website arXiv
 
Learning Physical Dynamics with Subequivariant Graph Neural Networks
In Neural Information Processing Systems (NeurIPS), 2022.
J. Han, W. Huang, H. Ma, J. Li, J. B. Tenenbaum, and C. Gan
NeurIPS arXiv
 
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
2022 International Conference on Robotics and Automation (ICRA)
J. Li*, H. Gang*, H. Ma, M. Tomizuka, and C. Choi
IEEE arXiv
 
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting
2022 International Conference on Robotics and Automation (ICRA)
R. Zhou, H. Zhou, M. Tomizuka, J. Li*, and Z. Xu*
IEEE arXiv
 
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
In IEEE/RSJ International Conference on Robotics and Systems (IROS), 2022.
M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer
IEEE arXiv
 
Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral)
H. Ma, J. Li, R. Hosseini, M. Tomizuka and C. Choi
CVPR Video
 
Graph Q-Learning for Combinatorial Optimization
Deep Reinforcement Learning Workshop, NeurIPS 2022
V. Dax, J. Li, K. Leahy, and M. J. Kochenderfer
OpenReview

 

2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
J. Li, F. Yang, H. Ma, S. Malla, M. Tomizuka, and C. Choi
ICCV arXiv
 
LOKI: Long Term and Key Intentions for Trajectory Prediction
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
H. Gang*, H. Girase*, S. Malla, J. Li, A. Kanehara, K. Mangalam, and C. Choi
ICCV arXiv
 
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral)
C. Choi, J. H. Choi, J. Li, and S. Malla
CVPR arXiv
 
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
IEEE Transactions on Intelligent Transportation Systems
J. Li, H. Ma, Z. Zhang, J. Li, and M. Tomizuka
IEEE arXiv
 
Continual Multi-agent Interaction Behavior Prediction with Conditional Generative Memory
IEEE Robotics and Automation Letters (RA-L)
H. Ma*, Y. Sun*, J. Li, M. Tomizuka, and C. Choi
IEEE PDF
 
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
2021 International Conference on Robotics and Automation (ICRA)
X. Ma, J. Li, MJ. Kochenderfer, D. Isele, and K. Fujimura
IEEE arXiv
 
Spectral Temporal Graph Neural Network for Trajectory Prediction
2021 International Conference on Robotics and Automation (ICRA)
D. Cao*, J. Li*, H. Ma, and M. Tomizuka
IEEE arXiv
 
Multi-agent Driving Behavior Prediction across Different Scenarios with Self-supervised Domain Knowledge
2021 IEEE Intelligent Transportation Systems Conference (ITSC)
H. Ma*, Y. Sun*, J. Li, and M. Tomizuka
IEEE PDF
 
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
2021 IEEE Intelligent Transportation Systems Conference (ITSC)
L. Wei, Z. Li, J. Gong, C. Gong, and J. Li
IEEE arXiv
 
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot
2021 IEEE/RSJ International Conference on Robotics and Systems (IROS)
C. Gong, X. Zhou, Z. Li, J. Li, J. Gong, and J. Zhou
IEEE arXiv

 

2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
In Proceedings of the Neural Information Processing Systems (NeurIPS) 2020.
J. Li*, F. Yang*, M. Tomizuka, and C. Choi
NeurIPS Website arXiv
 
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
IEEE Transactions on Intelligent Transportation Systems
J. Li, W. Zhan, Y. Hu, and M. Tomizuka
IEEE arXiv
 
Social-WaGDAT: Interaction-Aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
arXiv preprint arXiv: 2002.06241
J. Li, H. Ma, Z. Zhang, and M. Tomizuka
arXiv

 

2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
2019 IEEE International Conference on Robotics and Automation (ICRA)
J. Li*, H. Ma*, and M. Tomizuka
IEEE arXiv
 
Conditional Generative Neural System for Probabilistic Trajectory Prediction
2019 IEEE/RSJ International Conference on Robotics and Systems (IROS)
J. Li, H. Ma, and M. Tomizuka
IEEE arXiv
 
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
2019 IEEE Intelligent Vehicles Symposium (IV)
J. Li, H. Ma, W. Zhan, and M. Tomizuka
IEEE arXiv
 
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction
2019 IEEE Intelligent Vehicles Symposium (IV)
H. Ma, J. Li, W. Zhan, and M. Tomizuka
IEEE

 

2018
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real
2018 IEEE Intelligent Transportation Systems Conference (ITSC)
J. Li, H. Ma, W. Zhan, and M. Tomizuka
IEEE arXiv
 
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
2018 IEEE Intelligent Transportation Systems Conference (ITSC)
W. Zhan, L. Sun, Y. Hu, J. Li, and M. Tomizuka
IEEE arXiv
 
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter
2018 IEEE Intelligent Vehicles Symposium (IV) (Oral)
J. Li, W. Zhan, and M. Tomizuka
IEEE arXiv

 

2017
Safe and Feasible Motion Generation for Autonomous Driving via Constrained Policy Net
2017 Annual Conference of the Industrial Electronics Society (IECON)
W. Zhan, J. Li, Y. Hu, and M. Tomizuka
IEEE

 

2016
A Novel Variable Selection Approach for Redundant Information Elimination Purpose of Process Control
IEEE Transactions on Industrial Electronics
J. Li, C. Duan, and Z. Fei
IEEE
 
Finite-time H∞ Control of Switched Systems with Mode-dependent Average Dwell Time
Journal of the Franklin Institute
S. Shi, Z. Fei, and J. Li
ELSEVIER
 
A Variable Selection Aided Residual Generator Design Approach for Process Control and Monitoring
Neurocomputing
C. Duan, Z. Fei, and J. Li
ELSEVIER

 

* indicates equal contribution/advising