Publications

@article{xiong2026terratransfer,
  title = {{TerraTransfer}: Learning End-to-End Driving Policies Without Expert Demonstrations},
  author = {Xiong, Zikang and Li, Weixin and Wu, Zhouchonghao and Rangesh, Akshay and Bonde, Saarth and Hall, Grantland and Tang, Chen and Hu, Yihan and Zhan, Wei},
  journal = {arXiv preprint},
  year = {2026},
}

arXiv

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems

Marco Coscoy, Zewei Zhou, Seth Z. Zhao, and 9 more authors

arXiv preprint, 2026

@article{coscoy2026mdrive,
  title = {{MDrive}: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems},
  author = {Coscoy, Marco and Zhou, Zewei and Zhao, Seth Z. and Wei, Henry and Magtoto, Angela and Liu, Johnson and Song, Rui and Zimmer, Walter and Huang, Zhiyu and Tang, Chen and Zhou, Bolei and Ma, Jiaqi},
  journal = {arXiv preprint},
  year = {2026},
}

arXiv

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

Pengcheng Wang, Kaiwen Hong, Chensheng Peng, and 4 more authors

arXiv preprint, 2026

@article{wang2026discretertc,
  title = {{DiscreteRTC}: Discrete Diffusion Policies are Natural Asynchronous Executors},
  author = {Wang, Pengcheng and Hong, Kaiwen and Peng, Chensheng and Driggs-Campbell, Katherine and Tomizuka, Masayoshi and Xu, Chenfeng and Tang, Chen},
  journal = {arXiv preprint},
  year = {2026},
}

RLC 2026

Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning

Jiaheng Hu, Jay Shim, Chen Tang, and 4 more authors

In Reinforcement Learning Conference (RLC), 2026

Best Paper Award at the ICRA 2026 Workshop on Reinforcement Learning in the Era of Imitation Learning (RL4IL)

@inproceedings{hu2026simplerecipe,
  title = {Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning},
  author = {Hu, Jiaheng and Shim, Jay and Tang, Chen and Sung, Yoonchang and Liu, Bo and Stone, Peter and Mart{\'i}n-Mart{\'i}n, Roberto},
  booktitle = {Reinforcement Learning Conference (RLC)},
  year = {2026},
  note = {<strong>Best Paper Award at the ICRA 2026 Workshop on Reinforcement Learning in the Era of Imitation Learning (RL4IL)</strong>},
}

ICML 2026

TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments

Zhiyu Huang, Yun Zhang, Johnson Liu, and 3 more authors

In International Conference on Machine Learning (ICML), 2026

@inproceedings{huang2026ticvla,
  title = {{TIC-VLA}: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments},
  author = {Huang, Zhiyu and Zhang, Yun and Liu, Johnson and Song, Rui and Tang, Chen and Ma, Jiaqi},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
}

AAMAS 2026

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning

Jiaxun Cui, Chen Tang, Jarrett Holtz, and 4 more authors

In International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2026

@inproceedings{cui2026coopreflect,
  title = {{CoopReflect}: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning},
  author = {Cui, Jiaxun and Tang, Chen and Holtz, Jarrett and Nguyen, Janice and Allievi, Alessandro G and Qiu, Hang and Stone, Peter},
  booktitle = {International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)},
  year = {2026},
}

2025

ICLR 2025

Residual-MPPI: Online Policy Customization for Continuous Control

Pengcheng Wang^*, Chenran Li^*, Catherine Weaver, and 4 more authors

In International Conference on Learning Representations (ICLR), 2025

@inproceedings{wang2024residual,
  title = {{Residual-MPPI}: Online Policy Customization for Continuous Control},
  author = {Wang, Pengcheng and Li, Chenran and Weaver, Catherine and Kawamoto, Kenta and Tomizuka, Masayoshi and Tang, Chen and Zhan, Wei},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
}

CoRL 2025

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Human Intervetion

Yuxin Chen^*, Chen Tang^*, Chenran Li, and 4 more authors

Conference on Robot Learning (CoRL), 2025

@article{chen2024mereq,
  title = {{MEReQ}: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Human Intervetion},
  author = {Chen, Yuxin and Tang, Chen and Li, Chenran and Tian, Ran and Stone, Peter and Tomizuka, Masayoshi and Zhan, Wei},
  journal = {Conference on Robot Learning (CoRL)},
  year = {2025},
}

ICML 2025

WOMD-Reasoning: A Large-Scale Language Dataset for Interactions and Driving Intentions Reasoning

Yiheng Li, Cunxin Fan, Chongjian Ge, and 9 more authors

Forty-Second International Conference on Machine Learning (ICML), 2025

@article{li2024womd,
  title = {{WOMD-Reasoning}: A Large-Scale Language Dataset for Interactions and Driving Intentions Reasoning},
  author = {Li, Yiheng and Fan, Cunxin and Ge, Chongjian and Zhao, Seth Z. and Li, Chenran and Xu, Chenfeng and Yao, Huaxiu and Tomizuka, Masayoshi and Zhou, Bolei and Tang, Chen and Ding, Mingyu and Zhan, Wei},
  journal = {Forty-Second International Conference on Machine Learning (ICML)},
  year = {2025},
}

Annu. Rev. 2025

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes

Chen Tang^*, Ben Abbatematteo^*, Jiaheng Hu^*, and 3 more authors

Annual Review of Control Robotics and Autonomous Systems, 2025

@article{tang2024survey,
  title = {Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes},
  author = {Tang, Chen and Abbatematteo, Ben and Hu, Jiaheng and Chandra, Rohan and Mart{\'i}n-Mart{\'i}n, Roberto and Stone, Peter},
  journal = {Annual Review of Control Robotics and Autonomous Systems},
  year = {2025},
}

CoRL 2025

SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation

Michael J. Munje, Chen Tang, Shuijing Liu, and 6 more authors

Conference on Robot Learning (CoRL), 2025

@article{munje2025socialnavsub,
  title = {SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation},
  author = {Munje, Michael J. and Tang, Chen and Liu, Shuijing and Hu, Zichao and Zhu, Yifeng and Cui, Jiaxun and Warnell, Garrett and Biswas, Joydeep and Stone, Peter},
  journal = {Conference on Robot Learning (CoRL)},
  year = {2025},
}

CoRL 2025

ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion

Zichao Hu, Chen Tang, Michael Joseph Munje, and 6 more authors

Conference on Robot Learning (CoRL), 2025

@article{hu2025composablenav,
  title = {ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion},
  author = {Hu, Zichao and Tang, Chen and Munje, Michael Joseph and Zhu, Yifeng and Liu, Alex and Liu, Shuijing and Warnell, Garrett and Stone, Peter and Biswas, Joydeep},
  journal = {Conference on Robot Learning (CoRL)},
  year = {2025},
}

2024

T-ITS 2024

Grounded Relational Inference: Domain Knowledge-driven Explainable Autonomous Driving

Chen Tang, Nishan Srishankar, Sujitha Martin, and 1 more author

IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024

presented at 2020 NeurIPS Workshop on Machine Learning for Autonomous Driving

@article{tang2020gri,
  title = {Grounded Relational Inference: Domain Knowledge-driven Explainable Autonomous Driving},
  author = {Tang, Chen and Srishankar, Nishan and Martin, Sujitha and Tomizuka, Masayoshi},
  journal = {IEEE Transactions on Intelligent Transportation Systems (T-ITS)},
  year = {2024},
  note = {presented at 2020 NeurIPS Workshop on Machine Learning for Autonomous Driving}
}

T-CST 2024

Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing

Tommaso Benciolini, Chen Tang, Marion Leibold, and 3 more authors

IEEE Transactions on Control Systems Technology (T-CST), 2024

@article{benciolini2023active,
  title = {Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing},
  author = {Benciolini, Tommaso and Tang, Chen and Leibold, Marion and Weaver, Catherine and Tomizuka, Masayoshi and Zhan, Wei},
  journal = {IEEE Transactions on Control Systems Technology (T-CST)},
  year = {2024},
}

RA-L 2024

Skill-Critic: Refining Learned Skills for Reinforcement Learning

Ce Hao^*, Catherine Weaver^*, Chen Tang, and 3 more authors

IEEE Robotics and Automation Letters (RA-L), 2024

accepted for oral presentation at 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

@article{hao2023skill,
  title = {Skill-Critic: Refining Learned Skills for Reinforcement Learning},
  author = {Hao, Ce and Weaver, Catherine and Tang, Chen and Kawamoto, Kenta and Tomizuka, Masayoshi and Zhan, Wei},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2024},
  note = {accepted for oral presentation at 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).}
}

IEEE ICRA 2024

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration

Jinning Li, Xinyi Liu, Banghua Zhu, and 4 more authors

In IEEE International Conference on Robotics and Automation (ICRA), 2024

@inproceedings{li2023gold,
  title = {Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration},
  author = {Li, Jinning and Liu, Xinyi and Zhu, Banghua and Jiao, Jiantao and Tomizuka, Masayoshi and Tang, Chen and Zhan, Wei},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2024},
}

IEEE IROS 2024

Pre-training on Synthetic Driving Data for Trajectory Prediction

Yiheng Li^*, Seth Z Zhao^*, Chenfeng Xu, and 5 more authors

In EEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

@inproceedings{li2023pre,
  title = {Pre-training on Synthetic Driving Data for Trajectory Prediction},
  author = {Li, Yiheng and Zhao, Seth Z and Xu, Chenfeng and Tang, Chen and Li, Chenran and Ding, Mingyu and Tomizuka, Masayoshi and Zhan, Wei},
  booktitle = {EEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

RLC 2024

Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization

Yuxin Chen, Chen Tang, Ran Tian, and 4 more authors

In Reinforcement Learning Conference (RLC), 2024

Preliminary version was presented as an extended abstract at 2024 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS)

@inproceedings{chen2023quantifying,
  title = {Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization},
  author = {Chen, Yuxin and Tang, Chen and Tian, Ran and Li, Chenran and Li, Jinning and Tomizuka, Masayoshi and Zhan, Wei},
  booktitle = {Reinforcement Learning Conference (RLC)},
  year = {2024},
  note = {Preliminary version was presented as an extended abstract at 2024 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS)}
}

ECCV 2024

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

Yixiao Wang, Chen Tang, Lingfeng Sun, and 8 more authors

In European Conference on Computer Vision (ECCV), 2024

@inproceedings{wang2024OGD,
  title = {Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation},
  author = {Wang, Yixiao and Tang, Chen and Sun, Lingfeng and Rossi, Simone and Xie, Yichen and Peng, Chensheng and Hannagan, Thomas and Sabatini, Stefano and Poerio, Nicola and Tomizuka, Masayoshi and Zhan, Wei},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2024},
}

RA-L 2024

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay

Catherine Weaver, Chen Tang, Ce Hao, and 3 more authors

IEEE Robotics and Automation Letters (RA-L), 2024

@article{weaver2023betail,
  title = {{BeTAIL}: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay},
  author = {Weaver, Catherine and Tang, Chen and Hao, Ce and Kawamoto, Kenta and Tomizuka, Masayoshi and Zhan, Wei},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2024},
}

RA-L 2024

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving

Zhiyu Huang, Chen Tang, Chen Lv, and 2 more authors

IEEE Robotics and Automation Letters (RA-L), 2024

@article{huang2023pomdp,
  title = {Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving},
  author = {Huang, Zhiyu and Tang, Chen and Lv, Chen and Tomizuka, Masayoshi and Zhan, Wei},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2024},
}

2023

IFAC 2023

Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing

Shaoshu Su, Ce Hao, Catherine Weaver, and 3 more authors

In 22nd IFAC World Congress (IFAC), 2023

@inproceedings{su2022racing,
  title = {Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing},
  author = {Su, Shaoshu and Hao, Ce and Weaver, Catherine and Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi},
  booktitle = {22nd IFAC World Congress (IFAC)},
  year = {2023},
}

RA-L 2023

Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation

Wei-Jer Chang^*, Chen Tang^*, Chenran Li, and 3 more authors

IEEE Robotics and Automation Letters (RA-L), 2023

presented at 2023 CVPR Workshop on Multi-Agent Behavior: Properties, Computation, and Emergence (MABe) and 2024 IEEE International Conference on Robotics and Automation (ICRA)

@article{chang2023scbg,
  author = {Chang, Wei-Jer and Tang, Chen and Li, Chenran and Hu, Yeping and Tomizuka, Masayoshi and Zhan, Wei},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  title = {Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-8},
  doi = {10.1109/LRA.2023.3291897},
  note = {presented at 2023 CVPR Workshop on Multi-Agent Behavior: Properties, Computation, and Emergence (MABe) and 2024 IEEE International Conference on Robotics and Automation (ICRA)}
}

NeurIPS 2023

Residual Q-Learning: Offline and Online Policy Customization without Value

Chenran Li^*, Chen Tang^*, Haruki Nishimura, and 3 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2023

featured in Nikkei Robotics

@inproceedings{tang2023residual,
  title = {Residual Q-Learning: Offline and Online Policy Customization without Value},
  author = {Li, Chenran and Tang, Chen and Nishimura, Haruki and Mercat, Jean and Tomizuka, Masayoshi and Zhan, Wei},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  note = {<strong>featured in Nikkei Robotics</strong>},
}

2022

CoRL 2022

Dealing with the unknown: Pessimistic offline reinforcement learning

Jinning Li, Chen Tang, Masayoshi Tomizuka, and 1 more author

In Conference on Robot Learning (CoRL), 2022

@inproceedings{jinning2021pessimistic,
  title = {Dealing with the unknown: Pessimistic offline reinforcement learning},
  author = {Li, Jinning and Tang, Chen and Tomizuka, Masayoshi and Zhan, Wei},
  booktitle = {Conference on Robot Learning (CoRL)},
  pages = {1455--1464},
  year = {2022},
  organization = {PMLR},
}

IEEE IROS 2022

Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction

Lingfeng Sun^*, Chen Tang^*, Yaru Niu, and 5 more authors

In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

@inproceedings{tang2022pseudo,
  title = {Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction},
  author = {Sun, Lingfeng and Tang, Chen and Niu, Yaru and Sachdeva, Enna and Choi, Chiho and Misu, Teruhisa and Tomizuka, Masayoshi and Zhan, Wei},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2022},
  volume = {},
  number = {},
  pages = {13034-13041},
  doi = {10.1109/IROS47612.2022.9982147},
}

IEEE IROS 2022

Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction

Chen Tang, Wei Zhan, and Masayoshi Tomizuka

In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

@inproceedings{tang2022ibp,
  title = {Interventional Behavior Prediction: Avoiding Overly Confident
  Anticipation in Interactive Prediction},
  author = {Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2022},
  volume = {},
  number = {},
  pages = {11409-11415},
  doi = {10.1109/IROS47612.2022.9981524},
}

RA-L 2022

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning

Jinning Li, Chen Tang, Wei Zhan, and 1 more author

IEEE Robotics and Automation Letters (RA-L), 2022

@article{li2022goalRL,
  author = {Li, Jinning and Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  title = {Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning},
  year = {2022},
  volume = {7},
  number = {4},
  pages = {10216-10223},
  doi = {10.1109/LRA.2022.3190100},
}

ECCV 2022

PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map

Chenfeng Xu^*, Tian Li^*, Chen Tang, and 5 more authors

In European Conference on Computer Vision (ECCV), 2022

@inproceedings{xu2022PreTraM,
  title = {PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map},
  author = {Xu, Chenfeng and Li, Tian and Tang, Chen and Sun, Lingfeng and Keutzer, Kurt and Tomizuka, Masayoshi and Fathi, Alireza and Zhan, Wei},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2022},
  pages = {34--50},
}

arXiv 2022

Outracing Human Racers with Model-based Planning and Control for Time-trial Racing

Ce Hao, Chen Tang, Eric Bergkvist, and 4 more authors

arXiv preprint arXiv:2211.09378, 2022

arXiv Bib PDF

@article{hao2022outracing,
  title = {Outracing Human Racers with Model-based Planning and Control for Time-trial Racing},
  author = {Hao, Ce and Tang, Chen and Bergkvist, Eric and Weaver, Catherine and Sun, Liting and Zhan, Wei and Tomizuka, Masayoshi},
  journal = {arXiv preprint arXiv:2211.09378},
  year = {2022},
}

2021

NeurIPS 2021

Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling

Chen Tang, Wei Zhan, and Masayoshi Tomizuka

In Advances in Neural Information Processing Systems (NeurIPS), 2021

@inproceedings{tang2021social,
  author = {Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  pages = {8481--8494},
  title = {Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling},
  volume = {34},
  year = {2021},
}

2020

IEEE IV 2020

Application Specific System Identification for Model-Based Control in Self-Driving Cars

Julian M. Salt Ducaju, Chen Tang, and Masayoshi Tomizuka

In 2020 IEEE Intelligent Vehicles Symposium (IV), 2020

@inproceedings{ducaju2020application,
  title = {Application Specific System Identification for Model-Based Control in Self-Driving Cars},
  author = {Ducaju, Julian M. Salt and Tang, Chen and Tomizuka, Masayoshi},
  booktitle = {2020 IEEE Intelligent Vehicles Symposium (IV)},
  year = {2020},
  organization = {IEEE},
}

2019

Sensors 2019

A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control

Ángel Cuenca, Wei Zhan, Julián Salt, and 3 more authors

Sensors, 2019

@article{cuenca2019remote,
  title = {A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control},
  author = {Cuenca, {\'A}ngel and Zhan, Wei and Salt, Juli{\'a}n and Alcaina, Jos{\'e} and Tang, Chen and Tomizuka, Masayoshi},
  journal = {Sensors},
  volume = {19},
  number = {13},
  pages = {2983},
  year = {2019},
  publisher = {Multidisciplinary Digital Publishing Institute},
}

IEEE IV 2019

Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks

Zhuo Xu, Haonan Chang, Chen Tang, and 2 more authors

In 2019 IEEE Intelligent Vehicles Symposium (IV), 2019

@inproceedings{xu2019toward,
  title = {Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks},
  author = {Xu, Zhuo and Chang, Haonan and Tang, Chen and Liu, Changliu and Tomizuka, Masayoshi},
  booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)},
  pages = {1400--1407},
  year = {2019},
  organization = {IEEE},
}

T-ITS 2019

Disturbance-observer-based tracking controller for neural network driving policy transfer

Chen Tang^*, Zhuo Xu^*, and Masayoshi Tomizuka

IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019

@article{tang2019disturbance,
  title = {Disturbance-observer-based tracking controller for neural network driving policy transfer},
  author = {Tang, Chen and Xu, Zhuo and Tomizuka, Masayoshi},
  journal = {IEEE Transactions on Intelligent Transportation Systems (T-ITS)},
  volume = {21},
  number = {9},
  pages = {3961--3972},
  year = {2019},
  publisher = {IEEE},
}

IEEE ICRA 2019

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network

Chen Tang, Jianyu Chen, and Masayoshi Tomizuka

In 2019 International Conference on Robotics and Automation (ICRA), 2019

@inproceedings{tang2019adaptive,
  title = {Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network},
  author = {Tang, Chen and Chen, Jianyu and Tomizuka, Masayoshi},
  booktitle = {2019 International Conference on Robotics and Automation (ICRA)},
  pages = {3846--3852},
  year = {2019},
  organization = {IEEE},
}

2018

IEEE ITSC 2018

Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control

Zhuo Xu^*, Chen Tang^*, and Masayoshi Tomizuka

In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018

Best Student-Paper Runner-up

@inproceedings{xu2018zero,
  title = {Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control},
  author = {Xu, Zhuo and Tang, Chen and Tomizuka, Masayoshi},
  booktitle = {2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
  pages = {2865--2871},
  year = {2018},
  organization = {IEEE},
  note = {<strong>Best Student-Paper Runner-up</strong>},
}

IEEE IV 2018

Continuous Decision Making for On-Road Autonomous Driving under Uncertain and Interactive Environments

Jianyu Chen, Chen Tang, Long Xin, and 2 more authors

In 2018 IEEE Intelligent Vehicles Symposium (IV), 2018

@inproceedings{chen2018continuous,
  title = {Continuous Decision Making for On-Road Autonomous Driving under Uncertain and Interactive Environments},
  author = {Chen, Jianyu and Tang, Chen and Xin, Long and Li, Shengbo Eben and Tomizuka, Masayoshi},
  booktitle = {2018 IEEE Intelligent Vehicles Symposium (IV)},
  pages = {1651--1658},
  year = {2018},
  organization = {IEEE},
}

2017

Mater. Horiz. 2017

A Highly Sensitive Graphene Woven Fabric Strain Sensor for Wearable Wireless Musical Instruments

Xu Liu, Chen Tang, Xiaohan Du, and 8 more authors

Materials Horizons, 2017

@article{liu2017highly,
  title = {A Highly Sensitive Graphene Woven Fabric Strain Sensor for Wearable Wireless Musical Instruments},
  author = {Liu, Xu and Tang, Chen and Du, Xiaohan and Xiong, Shuai and Xi, Siyuan and Liu, Yuefeng and Shen, Xi and Zheng, Qingbin and Wang, Zhenyu and Wu, Ying and others},
  journal = {Materials Horizons},
  volume = {4},
  number = {3},
  pages = {477--486},
  year = {2017},
  publisher = {Royal Society of Chemistry},
}

2015

IEEE MEMS 2015

The Capillary Number Effect on the Capture Efficiency of Cancer Cells on Composite Microfluidic Filtration Chips

Cong Zhao, Rui Xu, Kui Song, and 6 more authors

In 2015 28th IEEE International Conference on Micro Electro Mechanical Systems (MEMS), 2015