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Jiachen Li
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Year
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
J Li, F Yang, M Tomizuka, C Choi
Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
101*2020
Conditional generative neural system for probabilistic trajectory prediction
J Li, H Ma, M Tomizuka
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019
1012019
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
J Li, H Ma, Z Zhang, J Li, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems, 2021
66*2021
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
J Li, H Ma, M Tomizuka
2019 IEEE International Conference on Robotics and Automation (ICRA), 2019
502019
Weakly supervised scene parsing with point-based distance metric learning
R Qian, Y Wei, H Shi, J Li, J Liu, T Huang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8843-8850, 2019
472019
Finite-time H∞ control of switched systems with mode-dependent average dwell time
S Shi, Z Fei, J Li
Journal of the Franklin Institute 353 (1), 221-234, 2016
452016
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
J Li, W Zhan, Y Hu, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems, 2020
372020
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real
J Li, H Ma, W Zhan, M Tomizuka
2018 IEEE Intelligent Transportation Systems Conference (ITSC), 2018
342018
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
C Choi, JH Choi, J Li, S Malla
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
302021
Generic vehicle tracking framework capable of handling occlusions based on modified mixture particle filter
J Li, W Zhan, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 936-942, 2018
272018
A high-performance potassium metal battery using safe ionic liquid electrolyte
H Sun, P Liang, G Zhu, WH Hung, YY Li, HC Tai, CL Huang, J Li, Y Meng, ...
Proceedings of the National Academy of Sciences 117 (45), 27847-27853, 2020
262020
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction
H Ma, J Li, W Zhan, M Tomizuka
IEEE Intelligent Vehicles Symposium (IV), 2019
262019
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
X Ma, J Li, MJ Kochenderfer, D Isele, K Fujimura
IEEE Conference on Robotics and Automation (ICRA), 2021
242021
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
W Zhan, L Sun, Y Hu, J Li, M Tomizuka
2018 IEEE Intelligent Transportation Systems Conference (ITSC), 2018
242018
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
J Li, H Ma, W Zhan, M Tomizuka
IEEE Intelligent Vehicles Symposium (IV), 2019
212019
Multi-task batch reinforcement learning with metric learning
J Li, Q Vuong, S Liu, M Liu, K Ciosek, H Christensen, H Su
Advances in Neural Information Processing Systems 33, 6197-6210, 2020
192020
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
J Li, F Yang, H Ma, S Malla, M Tomizuka, C Choi
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
152021
Safe and feasible motion generation for autonomous driving via constrained policy net
W Zhan, J Li, Y Hu, M Tomizuka
Industrial Electronics Society, IECON 2017-43rd Annual Conference of the …, 2017
142017
A novel variable selection approach for redundant information elimination purpose of process control
J Li, C Duan, Z Fei
IEEE Transactions on Industrial Electronics 63 (3), 1737-1744, 2015
142015
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
L Wei, Z Li, J Gong, C Gong, J Li
2021 IEEE Intelligent Transportation Systems Conference (ITSC), 2021
112021
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Articles 1–20