Jiachen_publications.bib

@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={2020 Advances in Neural Information Processing Systems (NeurIPS)},
  year={2020}
}

@article{li2020social,
  title={Social-wagdat: Interaction-aware trajectory prediction via wasserstein graph double-attention network},
  author={Li, Jiachen and Ma, Hengbo and Zhang, Zhihao and Tomizuka, Masayoshi},
  journal={arXiv preprint arXiv:2002.06241},
  year={2020}
}

@article{li2019generic,
  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={2019},
  publisher={IEEE}
}

@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 International Conference on Robotics and Automation (ICRA)},
  pages={6658--6664},
  year={2019},
  organization={IEEE}
}

@inproceedings{li2019conditional,
  title={Conditional Generative Neural System for Probabilistic Trajectory Prediction},
  author={Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi},
  booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={6150--6156},
  year={2019},
  organization={IEEE}
}


@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={2019 IEEE Intelligent Vehicles Symposium (IV)},
  pages={2496--2503},
  year={2019},
  organization={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={2019 IEEE Intelligent Vehicles Symposium (IV)},
  pages={2477--2483},
  year={2019},
  organization={IEEE}
}


@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 21st International Conference on Intelligent Transportation Systems (ITSC)},
  pages={3218--3224},
  year={2018},
  organization={IEEE}
}

@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 21st International Conference on Intelligent Transportation Systems (ITSC)},
  pages={3274--3280},
  year={2018},
  organization={IEEE}
}

@inproceedings{li2018generic2,
  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},
  organization={IEEE}
}

@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={IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society},
  pages={4588--4593},
  year={2017},
  organization={IEEE}
}

@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={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}
}

@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}
}