Publications
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Please refer to Prof. Jiachen Li's Google Scholar for a complete list of publications.
Under Review / Preprints
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
submitted to IEEE Robotics and Automation Letters (RA-L), under review
J. Yao, X. Zhang, Y. Xia, Z. Wang, A. K. Roy-Chowdhury, and J. Li
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
CMP: Cooperative Motion Prediction with Multi-Agent Communication
submitted to IEEE Robotics and Automation Letters (RA-L), under review
submitted to IEEE Robotics and Automation Letters (RA-L), under review
Z. Wu*, Y. Wang*, Z. Wang*, H. Ma, Z. Li, H. Qiu, and J. Li
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
submitted to IEEE Robotics and Automation Letters (RA-L), under review
submitted to IEEE Robotics and Automation Letters (RA-L), under review
J. Li, J. Li, S. Bae, and D. Isele
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
submitted to IEEE Robotics and Automation Letters (RA-L), under review
submitted to IEEE Robotics and Automation Letters (RA-L), under review
B. Lange, M. Itkina, J. Li, and M. J. Kochenderfer
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments
submitted to IEEE Robotics and Automation Letters (RA-L), under review
submitted to IEEE Robotics and Automation Letters (RA-L), under review
M. Arief*, M. Timmerman*, J. Li, D. Isele, and M. J. Kochenderfer
Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning
submitted to IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
V. Dax, Z. Li, X. Zhang, H. Shekhar, J. Li, and M. J. Kochenderfer
arXiv (coming soon)
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
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
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
S. Lei*, K. Lee*, L. Li, J. Park, and J. Li
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
DRAMA: Joint Risk Localization and Reasoning in Driving Scenarios
A Cognition-Inspired Trajectory Prediction Method for Vehicles in Interactive Scenarios
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
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
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)
S. Malla, C. Choi, J. H. Choi, I. Dwivedi, and J. Li
IET Intelligent Transport Systems
S. Xie, J. Li and J. Wang
2022
Interaction Modeling with Multiplex Attention
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation
Graph Q-Learning for Combinatorial Optimization
In Neural Information Processing Systems (NeurIPS), 2022.
F. Sun, I. Kauvar, R. Zhang, J. Li, M. J. Kochenderfer, J. Wu, and N. Haber
In Neural Information Processing Systems (NeurIPS), 2022.
J. Han, W. Huang, H. Ma, J. Li, J. B. Tenenbaum, and C. Gan
2022 International Conference on Robotics and Automation (ICRA)
J. Li*, H. Gang*, H. Ma, M. Tomizuka, and C. Choi
2022 International Conference on Robotics and Automation (ICRA)
R. Zhou, H. Zhou, M. Tomizuka, J. Li*, and Z. Xu*
In IEEE/RSJ International Conference on Robotics and Systems (IROS), 2022.
M. Toyungyernsub, E. Yel, J. Li, and M. J. Kochenderfer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral)
H. Ma, J. Li, R. Hosseini, M. Tomizuka and C. Choi
Deep Reinforcement Learning Workshop, NeurIPS 2022
V. Dax, J. Li, K. Leahy, and M. J. Kochenderfer
2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
LOKI: Long Term and Key Intentions for Trajectory Prediction
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Continual Multi-agent Interaction Behavior Prediction with Conditional Generative Memory
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Spectral Temporal Graph Neural Network for Trajectory Prediction
Multi-agent Driving Behavior Prediction across Different Scenarios with Self-supervised Domain Knowledge
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
J. Li, F. Yang, H. Ma, S. Malla, M. Tomizuka, and C. Choi
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
H. Gang*, H. Girase*, S. Malla, J. Li, A. Kanehara, K. Mangalam, and C. Choi
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral)
C. Choi, J. H. Choi, J. Li, and S. Malla
IEEE Transactions on Intelligent Transportation Systems
J. Li, H. Ma, Z. Zhang, J. Li, and M. Tomizuka
IEEE Robotics and Automation Letters (RA-L)
H. Ma*, Y. Sun*, J. Li, M. Tomizuka, and C. Choi
2021 International Conference on Robotics and Automation (ICRA)
X. Ma, J. Li, MJ. Kochenderfer, D. Isele, and K. Fujimura
2021 International Conference on Robotics and Automation (ICRA)
D. Cao*, J. Li*, H. Ma, and M. Tomizuka
2021 IEEE Intelligent Transportation Systems Conference (ITSC)
H. Ma*, Y. Sun*, J. Li, and M. Tomizuka
2021 IEEE Intelligent Transportation Systems Conference (ITSC)
L. Wei, Z. Li, J. Gong, C. Gong, and J. Li
2021 IEEE/RSJ International Conference on Robotics and Systems (IROS)
C. Gong, X. Zhou, Z. Li, J. Li, J. Gong, and J. Zhou
2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Social-WaGDAT: Interaction-Aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
In Proceedings of the Neural Information Processing Systems (NeurIPS) 2020.
J. Li*, F. Yang*, M. Tomizuka, and C. Choi
IEEE Transactions on Intelligent Transportation Systems
J. Li, W. Zhan, Y. Hu, and M. Tomizuka
arXiv preprint arXiv: 2002.06241
J. Li, H. Ma, Z. Zhang, and M. Tomizuka
2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
Conditional Generative Neural System for Probabilistic Trajectory Prediction
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction
2019 IEEE International Conference on Robotics and Automation (ICRA)
J. Li*, H. Ma*, and M. Tomizuka
2019 IEEE/RSJ International Conference on Robotics and Systems (IROS)
J. Li, H. Ma, and M. Tomizuka
2019 IEEE Intelligent Vehicles Symposium (IV)
J. Li, H. Ma, W. Zhan, and M. Tomizuka
2019 IEEE Intelligent Vehicles Symposium (IV)
H. Ma, J. Li, W. Zhan, and M. Tomizuka
2018
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter
2018 IEEE Intelligent Transportation Systems Conference (ITSC)
J. Li, H. Ma, W. Zhan, and M. Tomizuka
2018 IEEE Intelligent Transportation Systems Conference (ITSC)
W. Zhan, L. Sun, Y. Hu, J. Li, and M. Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV) (Oral)
J. Li, W. Zhan, and M. Tomizuka
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
2016
A Novel Variable Selection Approach for Redundant Information Elimination Purpose of Process Control
Finite-time H∞ Control of Switched Systems with Mode-dependent Average Dwell Time
A Variable Selection Aided Residual Generator Design Approach for Process Control and Monitoring
IEEE Transactions on Industrial Electronics
J. Li, C. Duan, and Z. Fei
Journal of the Franklin Institute
S. Shi, Z. Fei, and J. Li
Neurocomputing
C. Duan, Z. Fei, and J. Li
* indicates equal contribution/advising