Jingkang Wang

According to our database1, Jingkang Wang authored at least 28 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Adaptive multimodal control of trans-media vehicle based on deep reinforcement learning.
Eng. Appl. Artif. Intell., 2025

2024
G3R: Gradient Guided Generalizable Reconstruction.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
LightSim: Neural Lighting Simulation for Urban Scenes.
CoRR, 2023

UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation.
CoRR, 2023

Neural Lighting Simulation for Urban Scenes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reconstructing Objects in-the-wild for Realistic Sensor Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Real-Time Neural Rasterization for Large Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Compact Representations for LiDAR Completion and Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UniSim: A Neural Closed-Loop Sensor Simulator.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.
Proceedings of the Conference on Robot Learning, 2023

2022
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation.
Proceedings of the Conference on Robot Learning, 2022

2021
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.
CoRR, 2021

Cost-Efficient Online Hyperparameter Optimization.
CoRR, 2021

Adversarial Attack Generation Empowered by Min-Max Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Policy Learning Using Weak Supervision.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Attacks On Multi-Agent Communication.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
BabyAI++: Towards Grounded-Language Learning beyond Memorization.
CoRR, 2020

On the Impact of Perceptual Compression on Deep Learning.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Learning to Communicate and Correct Pose Errors.
Proceedings of the 4th Conference on Robot Learning, 2020

Reinforcement Learning with Perturbed Rewards.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense.
CoRR, 2019

Multiple Character Embeddings for Chinese Word Segmentation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy.
CoRR, 2018

The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity.
CoRR, 2018

LiDAR-Video Driving Dataset: Learning Driving Policies Effectively.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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