Hongge Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Temporal Coherence

Decision Stumps

Reinforcement Learning

Classification Models

Top Venues

Publications

Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR (2024)
Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV (2023)
Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR (2023)
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
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR (2022)
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
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS (2022)
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. CoRR (2021)
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. ICLR (2021)
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
-norm Robustness of Ensemble Stumps and Trees. CoRR (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS (2020)
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) (2020)
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
Multi-Stage Influence Function. NeurIPS (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. CoRR (2020)
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
Multi-Stage Influence Function. CoRR (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR (2020)
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
On Lp-norm Robustness of Ensemble Decision Stumps and Trees. ICML (2020)
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
Robustness Verification of Tree-based Models. NeurIPS (2019)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. CoRR (2019)
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
Robust Decision Trees Against Adversarial Examples. CoRR (2019)
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. IJCAI (2019)
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
Robust Decision Trees Against Adversarial Examples. ICML (2019)
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
The Limitations of Adversarial Training and the Blind-Spot Attack. CoRR (2019)
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
The Limitations of Adversarial Training and the Blind-Spot Attack. ICLR (Poster) (2019)
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
Robustness Verification of Tree-based Models. CoRR (2019)
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. CoRR (2019)
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR (2019)
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. CoRR (2018)
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel
Towards Fast Computation of Certified Robustness for ReLU Networks. CoRR (2018)
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. ACL (1) (2018)
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. ECCV (12) (2018)
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon
Towards Fast Computation of Certified Robustness for ReLU Networks. ICML (2018)
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning. CoRR (2017)
Hongge Chen, Duane S. Boning, Zheng Zhang
Efficient Spatial Variation Characterization via Matrix Completion. CoRR (2017)
Hongge Chen, Duane S. Boning
Online and incremental machine learning approaches for IC yield improvement. ICCAD (2017)