Jiachen_Li_publications.bib

@inproceedings{li2023pedestrian,
	title={Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints},
	author={Li, Jiachen and Shi, Xinwei and Chen, Feiyu and Stroud, Jonathan and Zhang, Zhishuai and Lan, Tian and Mao, Junhua and Kang, Jeonhyung and Refaat, Khaled S and Yang, Weilong and others},
	booktitle={IEEE Conference on Robotics and Automation (ICRA 2023)},
	year={2023}
}

@inproceedings{malla2023drama,
	title={DRAMA: Joint Risk Localization and Captioning in Driving},
	author={Malla, Srikanth and Choi, Chiho and Dwivedi, Isht and Choi, Joon Hee and Li, Jiachen},
	booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
	pages={1043--1052},
	year={2023}
}

@inproceedings{lee2023robust,
	title={Robust Driving Policy Learning with Guided Meta Reinforcement Learning},
	author={Lee, Kanghoon and Li, Jiachen and Isele, David and Park, Jinkyoo and Fujimura, Kikuo and Kochenderfer, Mykel J},
	booktitle={IEEE Intelligent Transportation Systems Conference (ITSC)},
	year={2023}
}

@article{xie2023cognition,
	title={A cognition-inspired trajectory prediction method for vehicles in interactive scenarios},
	author={Xie, Shanshan and Li, Jiachen and Wang, Jianqiang},
	journal={IET Intelligent Transport Systems},
	year={2023},
	publisher={Wiley Online Library}
}

@article{li2022evolvehypergraph,
	title={EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction},
	author={Li, Jiachen and Hua, Chuanbo and Park, Jinkyoo and Ma, Hengbo and Dax, Victoria and Kochenderfer, Mykel J},
	journal={arXiv preprint arXiv:2208.05470},
	year={2022}
}

@inproceedings{zhou2022grouptron,
	title={Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting},
	author={Zhou, Rui and Zhou, Hongyu and Tomizuka, Masayoshi and Li, Jiachen and Xu, Zhuo},
	booktitle={2022 IEEE International Conference on Robotics and Automation (ICRA)},
	year={2022}
}

@inproceedings{li2022important,
	title={Important Object Identification with Semi-Supervised Learning for Autonomous Driving},
	author={Li, Jiachen and Gang, Haiming and Ma, Hengbo and Tomizuka, Masayoshi and Choi, Chiho},
	booktitle={2022 IEEE International Conference on Robotics and Automation (ICRA)},
	year={2022}
}

@inproceedings{ma2022multi,
	title={Multi-objective diverse human motion prediction with knowledge distillation},
	author={Ma, Hengbo and Li, Jiachen and Hosseini, Ramtin and Tomizuka, Masayoshi and Choi, Chiho},
	booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
	pages={8161--8171},
	year={2022}
}

@inproceedings{sun2022interaction,
	title={Interaction Modeling with Multiplex Attention},
	author={Sun, Fan-Yun and Kauvar, Isaac and Zhang, Ruohan and Li, Jiachen and Kochenderfer, Mykel and Wu, Jiajun and Haber, Nick},
	booktitle={Advances in Neural Information Processing Systems (NeurIPS 2022)},
	year={2022}
}

@article{han2022learning,
	title={Learning physical dynamics with subequivariant graph neural networks},
	author={Han, Jiaqi and Huang, Wenbing and Ma, Hengbo and Li, Jiachen and Tenenbaum, Josh and Gan, Chuang},
	journal={Advances in Neural Information Processing Systems},
	volume={35},
	pages={26256--26268},
	year={2022}
}

@inproceedings{toyungyernsub2022dynamics,
	title={Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments},
	author={Toyungyernsub, Maneekwan and Yel, Esen and Li, Jiachen and Kochenderfer, Mykel J.},
	booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)},
	year={2022}
}

@inproceedings{ma2021reinforcement,
	title={Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships},
	author={Ma, Xiaobai and Li, Jiachen and Kochenderfer, Mykel J and Isele, David and Fujimura, Kikuo},
	booktitle={IEEE Conference on Robotics and Automation (ICRA)},
	year={2021}
}

@inproceedings{li2021rain,
	title={RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting},
	author={Li, Jiachen and Yang, Fan and Ma, Hengbo and Malla, Srikanth and Tomizuka, Masayoshi and Choi, Chiho},
	booktitle={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
	year={2021}
}

@article{ma2021continual,
	title={Continual Multi-agent Interaction Behavior Prediction with Conditional Generative Memory},
	author={Ma, Hengbo and Sun, Yaofeng and Li, Jiachen and Tomizuka, Masayoshi},
	journal={IEEE Robotics and Automation Letters},
	year={2021}
}

@inproceedings{girase2021loki,
	title={LOKI: Long Term and Key Intentions for Trajectory Prediction},
	author={Girase, Harshayu and Gang, Haiming and Malla, Srikanth and Li, Jiachen and Kanehara, Akira and Mangalam, Karttikeya and Choi, Chiho},
	booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
	year={2021}
}

@inproceedings{ma2021multi,
	title={Multi-agent driving behavior prediction across different scenarios with self-supervised domain knowledge},
	author={Ma, Hengbo and Sun, Yaofeng and Li, Jiachen and Tomizuka, Masayoshi},
	booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
	pages={3122--3129},
	year={2021},
	organization={IEEE}
}

@inproceedings{choi2021shared,
	title={Shared Cross-Modal Trajectory Prediction for Autonomous Driving},
	author={Choi, Chiho and Choi, Joon Hee and Li, Jiachen and Malla, Srikanth},
	booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year={2021}
}

@article{li2021spatio,
	title={Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking},
	author={Li, Jiachen and Ma, Hengbo and Zhang, Zhihao and Li, Jinning and Tomizuka, Masayoshi},
	journal={IEEE Transactions on Intelligent Transportation Systems},
	year={2021}
}

@inproceedings{cao2021spectral,
	title={Spectral Temporal Graph Neural Network for Trajectory Prediction},
	author={Cao, Defu and Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi},
	booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
	year={2021}
}

@inproceedings{wei2021autonomous,
	title={Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks},
	author={Wei, Lianzhen and Li, Zirui and Gong, Jianwei and Gong, Cheng and Li, Jiachen},
	booktitle={2021 IEEE Intelligent Transportation Systems Conference (ITSC)},
	year={2021}
}

@inproceedings{li2020evolvegraph,
	title={EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning},
	author={Li, Jiachen and Yang, Fan and Tomizuka, Masayoshi and Choi, Chiho},
	booktitle={Advances in Neural Information Processing Systems (NeurIPS) 2020},
	year={2020}
}

@inproceedings{li2019conditional,
	title={Conditional generative neural system for probabilistic trajectory prediction},
	author={Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi},
	booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	pages={6150--6156},
	year={2019}
}

@inproceedings{li2019interaction,
	title={Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning},
	author={Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi},
	booktitle={2019 IEEE International Conference on Robotics and Automation (ICRA)},
	year={2019}
}

@inproceedings{li2019coordination,
	title={Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling},
	author={Li, Jiachen and Ma, Hengbo and Zhan, Wei and Tomizuka, Masayoshi},
	booktitle={IEEE Intelligent Vehicles Symposium (IV)},
	year={2019}
}

@article{li2020generic,
	title={Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving},
	author={Li, Jiachen and Zhan, Wei and Hu, Yeping and Tomizuka, Masayoshi},
	journal={IEEE Transactions on Intelligent Transportation Systems},
	year={2020},
	publisher={IEEE}
}

@inproceedings{ma2019wasserstein,
	title={Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction},
	author={Ma, Hengbo and Li, Jiachen and Zhan, Wei and Tomizuka, Masayoshi},
	booktitle={IEEE Intelligent Vehicles Symposium (IV)},
	year={2019}
}

@inproceedings{li2018generic,
	title={Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real},
	author={Li, Jiachen and Ma, Hengbo and Zhan, Wei and Tomizuka, Masayoshi},
	booktitle={2018 IEEE Intelligent Transportation Systems Conference (ITSC)},
	year={2018}
}

@inproceedings{zhan2018towards,
	title={Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios},
	author={Zhan, Wei and Sun, Liting and Hu, Yeping and Li, Jiachen and Tomizuka, Masayoshi},
	booktitle={2018 IEEE Intelligent Transportation Systems Conference (ITSC)},
	year={2018}
}

@inproceedings{li2018generic,
	title={Generic vehicle tracking framework capable of handling occlusions based on modified mixture particle filter},
	author={Li, Jiachen and Zhan, Wei and Tomizuka, Masayoshi},
	booktitle={2018 IEEE Intelligent Vehicles Symposium (IV)},
	pages={936--942},
	year={2018}
}

@inproceedings{zhan2017safe,
	title={Safe and feasible motion generation for autonomous driving via constrained policy net},
	author={Zhan, Wei and Li, Jiachen and Hu, Yeping and Tomizuka, Masayoshi},
	booktitle={Industrial Electronics Society, IECON 2017-43rd Annual Conference of the IEEE},
	pages={4588--4593},
	year={2017}
}

@article{shi2016finite,
	title={Finite-time H∞ control of switched systems with mode-dependent average dwell time},
	author={Shi, Shuang and Fei, Zhongyang and Li, Jiachen},
	journal={Journal of the Franklin Institute},
	volume={353},
	number={1},
	pages={221--234},
	year={2016},
	publisher={Pergamon}
}

@article{duan2016variable,
	title={A variable selection aided residual generator design approach for process control and monitoring},
	author={Duan, Chaojing and Fei, Zhongyang and Li, Jiachen},
	journal={Neurocomputing},
	volume={171},
	pages={1013--1020},
	year={2016},
	publisher={Elsevier}
}

@article{li2015novel,
	title={A novel variable selection approach for redundant information elimination purpose of process control},
	author={Li, Jiachen and Duan, Chaojing and Fei, Zhongyang},
	journal={IEEE Transactions on Industrial Electronics},
	volume={63},
	number={3},
	pages={1737--1744},
	year={2015},
	publisher={IEEE}
}