Publications
  (show selected)
LightSim: Neural Lighting Simulation for Urban Scenes
Ava Pun*, Gary Sun*, Jingkang Wang*, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
Advances in Neural Information Processing Systems (NeurIPS), 2023
[paper][video][website]
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Conference on Robot Learning (CoRL), 2023
[paper][video][website]
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing
Sivabalan Manivasagam*, Ioan Andrei Bârsan*, Jingkang Wang, Ze Yang, Raquel Urtasun
International Conference on Computer Vision (ICCV), 2023
[paper][video][website]
Real-Time Neural Scene Rasterization for Large Scenes
Jeffrey Liu, Yun Chen*, Ze Yang*, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
International Conference on Computer Vision (ICCV), 2023
[paper][video][website]
UniSim: A Neural Closed-Loop Sensor Simulator
Ze Yang*, Yun Chen*, Jingkang Wang*, Sivabalan Manivasagam*, Wei-Chiu Ma, Anqi
Joyce Yang, Raquel Urtasun
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
(Highlight)
[paper]
[video]
[poster]
[4K demo]
[website]
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation
Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[paper]
[video]
[poster]
[website]
NeuSim: Reconstructing Objects in-the-wild for Realistic Sensor Simulation
Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel
Urtasun
IEEE International Conference on Robotics and Automation (ICRA), 2023
[paper]
[video]
[website]>
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Simulation
Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce
Yang, Wei-Chiu Ma, Raquel Urtasun
Conference on Robot Learning (CoRL), 2022
[paper]
[video]
[website]
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio
Casas, Mengye Ren, Raquel Urtasun
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[paper]
[poster]
[video]
[website]
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang*, Tianyun Zhang*, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
Advances in Neural Information Processing Systems (NeurIPS), 2021
[paper]
[code]
[poster]
[website]
Policy Learning Using Weak Supervision
Jingkang Wang*, Hongyi Guo*, Zhaowei Zhu*, Yang Liu
Advances in Neural Information Processing Systems (NeurIPS), 2021
[paper]
[code]
[poster]
[website]
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction
through Partially Labeled Scenes
Sean Segal*, Nishanth Kumar*, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang,
Raquel Urtasun
Conference on Robot Learning (CoRL), 2021
[paper]
Adversarial Attacks on Multi-Agent Communication
James Tu*, Tsunhsuan Wang*, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
International Conference on Computer Vision (ICCV), 2021
[paper]
[video]
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
Conference on Robot Learning (CoRL), 2020
[paper]
[video]
Cost-Efficient Online Hyperparameter Optimization
Jingkang Wang*, Mengye Ren*, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
International Conference on Machine Learning (ICML), RealML Workshop, 2020
arXiv preprint arXiv:2101.06590
[paper]
[video]
Zero-Shot Compositional Policy Learning via Language Grounding
Tianshi Cao*, Jingkang Wang*, Annie Zhang, Sivabalan Manivasagam
International Conference on Learning Representations (ICLR), BeTR-RL Workshop,
2020
[paper]
[code]
[media]
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
AAAI Conference on Artificial Intelligence (AAAI), 2020
(Spotlight)
[paper]
[code]
Multiple Character Embeddings for Chinese Word Segmentation
Jingkang Wang*, Jianing Zhou*, Jie Zhou, Gongshen Liu
Annual Meeting of the Association for Computational Linguistics (ACL), Student
Research Workshop, 2019
[paper]
[code]
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen*, Jingkang Wang*, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng
Wang
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[paper]
[code]
[dataset]
LightSim: Neural Lighting Simulation for Urban Scenes
Ava Pun*, Gary Sun*, Jingkang Wang*, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
Advances in Neural Information Processing Systems (NeurIPS), 2023
[paper][video][website]
UniSim: A Neural Closed-Loop Sensor Simulator
Ze Yang*, Yun Chen*, Jingkang Wang*, Sivabalan Manivasagam*, Wei-Chiu Ma, Anqi
Joyce Yang, Raquel Urtasun
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
(Highlight)
[paper]
[video]
[poster]
[4K demo]
[website]
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Simulation
Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce
Yang, Wei-Chiu Ma, Raquel Urtasun
Conference on Robot Learning (CoRL), 2022
[paper]
[video]
[website]
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio
Casas, Mengye Ren, Raquel Urtasun
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[paper]
[poster]
[video]
[website]
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang*, Tianyun Zhang*, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
Advances in Neural Information Processing Systems (NeurIPS), 2021
[paper]
[code]
[poster]
[website]
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
AAAI Conference on Artificial Intelligence (AAAI), 2020
(Spotlight)
[paper]
[code]
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