Jingkang Wang - RankMe

43 papers A* 13Misc 4Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive multimodal control of trans-media vehicle based on deep reinforcement learning. Eng. Appl. Artif. Intell. Jingkang Wang, Shuang Liang, Mingming Guo, Heng Wang, Hua Zhang
2025	J	`jnl`	Flux4D: Flow-based Unsupervised 4D Reconstruction. CoRR Jingkang Wang, Henry Che, Yun Chen, Ze Yang, Lily Goli, Sivabalan Manivasagam, Raquel Urtasun
2025	A*	`conf`	GenAssets: Generating in-the-wild 3D Assets in Latent Space. CVPR Ze Yang, Jingkang Wang, Haowei Zhang, Sivabalan Manivasagam, Yun Chen, Raquel Urtasun
2025	J	`jnl`	SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time. CoRR Yun Chen, Matthew Haines, Jingkang Wang, Krzysztof Baron-Lis, Sivabalan Manivasagam, Ze Yang, Raquel Urtasun
2024	—	`conf`	G3R: Gradient Guided Generalizable Reconstruction. ECCV (6) Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun
2024	J	`jnl`	G3R: Gradient Guided Generalizable Reconstruction. CoRR Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun
2023	Misc	`conf`	Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023	J	`jnl`	Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023	J	`jnl`	CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRR Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun
2023	A*	`conf`	Learning Compact Representations for LiDAR Completion and Generation. CVPR Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
2023	J	`jnl`	LightSim: Neural Lighting Simulation for Urban Scenes. CoRR Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
2023	A*	`conf`	Neural Lighting Simulation for Urban Scenes. NeurIPS Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
2023	A*	`conf`	Real-Time Neural Rasterization for Large Scenes. ICCV Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
2023	J	`jnl`	Real-Time Neural Rasterization for Large Scenes. CoRR Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
2023	A*	`conf`	Reconstructing Objects in-the-wild for Realistic Sensor Simulation. ICRA Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
2023	J	`jnl`	Reconstructing Objects in-the-wild for Realistic Sensor Simulation. CoRR Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
2023	A*	`conf`	Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. ICCV Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun
2023	J	`jnl`	UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. CoRR Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
2023	A*	`conf`	UniSim: A Neural Closed-Loop Sensor Simulator. CVPR Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun
2023	J	`jnl`	UniSim: A Neural Closed-Loop Sensor Simulator. CoRR Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun
2022	Misc	`conf`	CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRL Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun
2021	A*	`conf`	AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021	A*	`conf`	Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
2021	A*	`conf`	Adversarial Attacks On Multi-Agent Communication. ICCV James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	Adversarial Attacks On Multi-Agent Communication. CoRR James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	Cost-Efficient Online Hyperparameter Optimization. CoRR Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
2021	Misc	`conf`	Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021	J	`jnl`	Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021	A*	`conf`	Policy Learning Using Weak Supervision. NeurIPS Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
2020	J	`jnl`	BabyAI++: Towards Grounded-Language Learning beyond Memorization. CoRR Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam
2020	Misc	`conf`	Learning to Communicate and Correct Pose Errors. CoRL Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020	J	`jnl`	Learning to Communicate and Correct Pose Errors. CoRR Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020	—	`conf`	On the Impact of Perceptual Compression on Deep Learning. MIPR Gerald Friedland, Ruoxi Jia, Jingkang Wang, Bo Li, T. Nathan Mundhenk
2020	J	`jnl`	Policy Learning Using Weak Supervision. CoRR Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
2020	A*	`conf`	Reinforcement Learning with Perturbed Rewards. AAAI Jingkang Wang, Yang Liu, Bo Li
2019	J	`jnl`	Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. CoRR Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
2019	—	`conf`	Multiple Character Embeddings for Chinese Word Segmentation. ACL (2) Jianing Zhou, Jingkang Wang, Gongshen Liu
2018	A*	`conf`	LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. CVPR Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, Cheng Wang
2018	J	`jnl`	Multiple Character Embeddings for Chinese Word Segmentation. CoRR Jingkang Wang, Jianing Zhou, Gongshen Liu
2018	J	`jnl`	One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy. CoRR Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas J. Spanos
2018	J	`jnl`	Reinforcement Learning with Perturbed Rewards. CoRR Jingkang Wang, Yang Liu, Bo Li
2018	J	`jnl`	The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity. CoRR Gerald Friedland, Jingkang Wang, Ruoxi Jia, Bo Li