Jiachen Li
Titel
Zitiert von
Zitiert von
Jahr
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
372016
Conditional Generative Neural System for Probabilistic Trajectory Prediction
J Li, H Ma, M Tomizuka
IEEE/RSJ International Conference on Robotics and Systems (IROS), 2019
332019
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
282019
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
222018
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
222018
Recent advances on the reduction of CO2 to important C2+ oxygenated chemicals and fuels
J Li, L Wang, Y Cao, C Zhang, P He, H Li
Chinese Journal of Chemical Engineering 26 (11), 2266-2279, 2018
202018
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
202018
Social-wagdat: Interaction-aware trajectory prediction via wasserstein graph double-attention network
J Li, H Ma, Z Zhang, M Tomizuka
arXiv preprint arXiv:2002.06241, 2020
192020
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, 2019
182019
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
17*2020
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
162019
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
122015
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
112019
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
112017
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
C Choi, JH Choi, J Li, S Malla
62020
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
X Ma, J Li, MJ Kochenderfer, D Isele, K Fujimura
arXiv preprint arXiv:2011.04251, 2020
22020
A variable selection aided residual generator design approach for process control and monitoring
C Duan, Z Fei, J Li
Neurocomputing 171, 1013-1020, 2016
22016
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
J Li, H Ma, Z Zhang, J Li, M Tomizuka
arXiv preprint arXiv:2102.09117, 2021
2021
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