LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. - Yiping Chen; Jingkang Wang; Jonathan Li 001; Cewu Lu; Zhipeng Luo; Han Xue; Cheng Wang 003 (CVPR, 2018)

The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity. - Gerald Friedland; Jingkang Wang; Ruoxi Jia 001; Bo Li 026 (CoRR, 2018)

One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy. - Jingkang Wang; Ruoxi Jia 001; Gerald Friedland; Bo Li 026; Costas J. Spanos (CoRR, 2018)

Multiple Character Embeddings for Chinese Word Segmentation. - Jianing Zhou; Jingkang Wang; Gongshen Liu (ACL (2), 2019)

Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (CoRR, 2019)

Reinforcement Learning with Perturbed Rewards. - Jingkang Wang; Yang Liu 018; Bo Li 026 (AAAI, 2020)

Learning to Communicate and Correct Pose Errors. - Nicholas Vadivelu; Mengye Ren; James Tu; Jingkang Wang; Raquel Urtasun (CoRL, 2020)

On the Impact of Perceptual Compression on Deep Learning. - Gerald Friedland; Ruoxi Jia 001; Jingkang Wang; Bo Li 026; T. Nathan Mundhenk (MIPR, 2020)

BabyAI++: Towards Grounded-Language Learning beyond Memorization. - Tianshi Cao; Jingkang Wang; Yining Zhang; Sivabalan Manivasagam (CoRR, 2020)

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRL, 2021)

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. - Jingkang Wang; Ava Pun; James Tu; Sivabalan Manivasagam; Abbas Sadat; Sergio Casas 002; Mengye Ren; Raquel Urtasun (CVPR, 2021)

Adversarial Attacks On Multi-Agent Communication. - James Tu; Tsun-Hsuan Wang; Jingkang Wang; Sivabalan Manivasagam; Mengye Ren; Raquel Urtasun (ICCV, 2021)

Policy Learning Using Weak Supervision. - Jingkang Wang; Hongyi Guo; Zhaowei Zhu; Yang Liu 018 (NeurIPS, 2021)

Adversarial Attack Generation Empowered by Min-Max Optimization. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (NeurIPS, 2021)

Cost-Efficient Online Hyperparameter Optimization. - Jingkang Wang; Mengye Ren; Ilija Bogunovic; Yuwen Xiong; Raquel Urtasun (CoRR, 2021)

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRR, 2021)

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. - Jingkang Wang; Sivabalan Manivasagam; Yun Chen 014; Ze Yang 003; Ioan Andrei Barsan; Anqi Joyce Yang; Wei-Chiu Ma; Raquel Urtasun (CoRL, 2022)

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. - Jay Sarva; Jingkang Wang; James Tu; Yuwen Xiong; Sivabalan Manivasagam; Raquel Urtasun (CoRL, 2023)

UniSim: A Neural Closed-Loop Sensor Simulator. - Ze Yang 003; Yun Chen 014; Jingkang Wang; Sivabalan Manivasagam; Wei-Chiu Ma; Anqi Joyce Yang; Raquel Urtasun (CVPR, 2023)

Learning Compact Representations for LiDAR Completion and Generation. - Yuwen Xiong; Wei-Chiu Ma; Jingkang Wang; Raquel Urtasun (CVPR, 2023)

Real-Time Neural Rasterization for Large Scenes. - Jeffrey Yunfan Liu; Yun Chen 014; Ze Yang 003; Jingkang Wang; Sivabalan Manivasagam; Raquel Urtasun (ICCV, 2023)

Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. - Sivabalan Manivasagam; Ioan Andrei Bârsan; Jingkang Wang; Ze Yang 003; Raquel Urtasun (ICCV, 2023)

Reconstructing Objects in-the-wild for Realistic Sensor Simulation. - Ze Yang 003; Sivabalan Manivasagam; Yun Chen 014; Jingkang Wang; Rui Hu 001; Raquel Urtasun (ICRA, 2023)

Neural Lighting Simulation for Urban Scenes. - Ava Pun; Gary Sun; Jingkang Wang; Yun Chen 014; Ze Yang 003; Sivabalan Manivasagam; Wei-Chiu Ma; Raquel Urtasun (NeurIPS, 2023)

UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. - Yuwen Xiong; Wei-Chiu Ma; Jingkang Wang; Raquel Urtasun (CoRR, 2023)

LightSim: Neural Lighting Simulation for Urban Scenes. - Ava Pun; Gary Sun; Jingkang Wang; Yun Chen 014; Ze Yang 003; Sivabalan Manivasagam; Wei-Chiu Ma; Raquel Urtasun (CoRR, 2023)

G3R: Gradient Guided Generalizable Reconstruction. - Yun Chen 014; Jingkang Wang; Ze Yang 003; Sivabalan Manivasagam; Raquel Urtasun (ECCV (6), 2024)

GenAssets: Generating in-the-wild 3D Assets in Latent Space. - Ze Yang 003; Jingkang Wang; Haowei Zhang; Sivabalan Manivasagam; Yun Chen 014; Raquel Urtasun (CVPR, 2025)

Adaptive multimodal control of trans-media vehicle based on deep reinforcement learning. - Jingkang Wang; Shuang Liang 016; Mingming Guo; Heng Wang; Hua Zhang (Eng. Appl. Artif. Intell., 2025)

SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time. - Yun Chen 014; Matthew Haines; Jingkang Wang; Krzysztof Baron-Lis; Sivabalan Manivasagam; Ze Yang 003; Raquel Urtasun (CoRR, 2025)