Hongge Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Causal Composition Diffusion Model for Closed-loop Traffic Generation. | Haohong Lin, Xin Huang, Tung Phan, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen |
| 2025 | ICML | DriveGPT: Scaling Autoregressive Behavior Models for Driving. | Xin Huang, Eric M. Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S. Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha S. Srinivasa |
| 2025 | ICRA | 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 |
| 2023 | ICCV | SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. | Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai |
| 2022 | IROS | 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 |
| 2021 | ICLR | Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. | Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh |
| 2020 | ECCV | 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 |
| 2020 | ICLR | 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 |
| 2020 | ICML | On Lp-norm Robustness of Ensemble Decision Stumps and Trees. | Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh |
| 2019 | ICLR | 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 |
| 2019 | ICML | Robust Decision Trees Against Adversarial Examples. | Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh |
| 2019 | IJCAI | 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 |
| 2018 | ACL | 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 |
| 2018 | ECCV | 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 |
| 2018 | ICML | 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 |
| 2017 | ICCAD | Online and incremental machine learning approaches for IC yield improvement. | Hongge Chen, Duane S. Boning |