Jiachen_publications.bib

@article{li2020evolvegraph,
  title={EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs},
  author={Li, Jiachen and Yang, Fan and Tomizuka, Masayoshi and Choi, Chiho},
  journal={arXiv preprint arXiv:2003.13924},
  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{Jiachen_TITS19,
	title={Generic Tracking and 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}
}

@inproceedings{Jiachen_ICRA19,
	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},
	organization={IEEE}
}

@inproceedings{Jiachen_IROS19,
	title={Conditional Generative Neural System for Probabilistic Trajectory Prediction},
	author={Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi},
	booktitle={in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year={2019},
	organization={IEEE}
}


@inproceedings{Jiachen_IV19-1,
	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={in 2019 Intelligent Vehicles Symposium (IV)},
	year={2019},
	organization={IEEE}
}

@inproceedings{Jiachen_IV19-2,
	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={in 2019 Intelligent Vehicles Symposium (IV)},
	year={2019},
	organization={IEEE}
}


@inproceedings{Jiachen_ITSC18-1,
	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},
	organization={IEEE}
}

@inproceedings{Jiachen_ITSC18-2,
    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{Jiachen_IV18,
	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={Proceedings of 2018 IEEE Intelligent Vehicles Symposium (IV)},
	pages={936--942},
	year={2018},
	organization={IEEE}
}

@inproceedings{Jiachen_IECON17,
     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}
}