Hongge Chen

According to our database, Hongge Chen authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving.

Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang

CoRR, 2024

2023

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors.

Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving.

Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary.

Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

On 𝓁_p-norm Robustness of Ensemble Stumps and Trees.

Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh

CoRR, 2020

Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations.

Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh

CoRR, 2020

Multi-Stage Influence Function.

Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations.

Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Lp-norm Robustness of Ensemble Decision Stumps and Trees.

Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the 37th International Conference on Machine Learning, 2020

Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarial T-Shirt! Evading Person Detectors in a Physical World.

Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Evading Real-Time Person Detectors by Adversarial T-shirt.

Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin

CoRR, 2019

Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh

CoRR, 2019

Robustness Verification of Tree-based Models.

Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.

Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robust Decision Trees Against Adversarial Examples.

Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh

Proceedings of the 36th International Conference on Machine Learning, 2019

The Limitations of Adversarial Training and the Blind-Spot Attack.

Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Towards Fast Computation of Certified Robustness for ReLU Networks.

Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon

Proceedings of the 35th International Conference on Machine Learning, 2018

Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.

Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao

Proceedings of the Computer Vision - ECCV 2018, 2018

Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.

Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning.

Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh

CoRR, 2017

Efficient Spatial Variation Characterization via Matrix Completion.

Hongge Chen, Duane S. Boning, Zheng Zhang

CoRR, 2017

Online and incremental machine learning approaches for IC yield improvement.

Hongge Chen, Duane S. Boning

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017