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Jingkang Wang
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2020 – today
- 2025
- [j1]Jingkang Wang, Shuang Liang, Mingming Guo, Heng Wang, Hua Zhang:
Adaptive multimodal control of trans-media vehicle based on deep reinforcement learning. Eng. Appl. Artif. Intell. 139: 109524 (2025) - 2024
- [c19]Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun:
G3R: Gradient Guided Generalizable Reconstruction. ECCV (6) 2024: 305-323 - [i20]Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun:
G3R: Gradient Guided Generalizable Reconstruction. CoRR abs/2409.19405 (2024) - 2023
- [c18]Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL 2023: 1316-1334 - [c17]Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
Learning Compact Representations for LiDAR Completion and Generation. CVPR 2023: 1074-1083 - [c16]Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun:
UniSim: A Neural Closed-Loop Sensor Simulator. CVPR 2023: 1389-1399 - [c15]Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun:
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. ICCV 2023: 8238-8248 - [c14]Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun:
Real-Time Neural Rasterization for Large Scenes. ICCV 2023: 8382-8393 - [c13]Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun:
Reconstructing Objects in-the-wild for Realistic Sensor Simulation. ICRA 2023: 11661-11668 - [c12]Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun:
Neural Lighting Simulation for Urban Scenes. NeurIPS 2023 - [i19]Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun:
UniSim: A Neural Closed-Loop Sensor Simulator. CoRR abs/2308.01898 (2023) - [i18]Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR abs/2311.01446 (2023) - [i17]Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun:
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRR abs/2311.01447 (2023) - [i16]Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. CoRR abs/2311.01448 (2023) - [i15]Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun:
Reconstructing Objects in-the-wild for Realistic Sensor Simulation. CoRR abs/2311.05602 (2023) - [i14]Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun:
Real-Time Neural Rasterization for Large Scenes. CoRR abs/2311.05607 (2023) - [i13]Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun:
LightSim: Neural Lighting Simulation for Urban Scenes. CoRR abs/2312.06654 (2023) - 2022
- [c11]Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun:
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRL 2022: 630-642 - 2021
- [c10]Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL 2021: 816-826 - [c9]Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun:
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR 2021: 9909-9918 - [c8]James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. ICCV 2021: 7748-7757 - [c7]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS 2021: 16020-16033 - [c6]Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. NeurIPS 2021: 19960-19973 - [i12]Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun:
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR abs/2101.06549 (2021) - [i11]James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. CoRR abs/2101.06560 (2021) - [i10]Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun:
Cost-Efficient Online Hyperparameter Optimization. CoRR abs/2101.06590 (2021) - [i9]Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR abs/2104.03956 (2021) - 2020
- [c5]Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. AAAI 2020: 6202-6209 - [c4]Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun:
Learning to Communicate and Correct Pose Errors. CoRL 2020: 1195-1210 - [c3]Gerald Friedland, Ruoxi Jia, Jingkang Wang, Bo Li, T. Nathan Mundhenk:
On the Impact of Perceptual Compression on Deep Learning. MIPR 2020: 219-224 - [i8]Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam:
BabyAI++: Towards Grounded-Language Learning beyond Memorization. CoRR abs/2004.07200 (2020) - [i7]Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. CoRR abs/2010.01748 (2020) - [i6]Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun:
Learning to Communicate and Correct Pose Errors. CoRR abs/2011.05289 (2020)
2010 – 2019
- 2019
- [c2]Jianing Zhou, Jingkang Wang, Gongshen Liu:
Multiple Character Embeddings for Chinese Word Segmentation. ACL (2) 2019: 210-216 - [i5]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. CoRR abs/1906.03563 (2019) - 2018
- [c1]Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng Wang:
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. CVPR 2018: 5870-5878 - [i4]Gerald Friedland, Jingkang Wang, Ruoxi Jia, Bo Li:
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity. CoRR abs/1807.10569 (2018) - [i3]Jingkang Wang, Jianing Zhou, Gongshen Liu:
Multiple Character Embeddings for Chinese Word Segmentation. CoRR abs/1808.04963 (2018) - [i2]Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. CoRR abs/1810.01032 (2018) - [i1]Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas J. Spanos:
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy. CoRR abs/1810.09650 (2018)
Coauthor Index
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