Hongge Chen - RankMe

38 papers A* 13A 2Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Causal Composition Diffusion Model for Closed-loop Traffic Generation. CVPR Haohong Lin, Xin Huang, Tung Phan, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen
2025	A*	`conf`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-Based Autonomous Driving. ICRA Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2025	A*	`conf`	DriveGPT: Scaling Autoregressive Behavior Models for Driving. ICML 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
2024	J	`jnl`	Causal Composition Diffusion Model for Closed-loop Traffic Generation. CoRR Haohong Lin, Xin Huang, Tung Phan-Minh, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen
2024	J	`jnl`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2024	J	`jnl`	DriveGPT: Scaling Autoregressive Behavior Models for Driving. CoRR 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
2023	A*	`conf`	SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2023	J	`jnl`	SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2022	A	`conf`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS 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
2022	J	`jnl`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR 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	A*	`conf`	Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. ICLR Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2021	J	`jnl`	Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. CoRR Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2020	—	`conf`	Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2020	A*	`conf`	Multi-Stage Influence Function. NeurIPS Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
2020	J	`jnl`	Multi-Stage Influence Function. CoRR Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh
2020	A*	`conf`	On Lp-norm Robustness of Ensemble Decision Stumps and Trees. ICML Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2020	J	`jnl`	On 𝓁 CoRR Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2020	J	`jnl`	Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. CoRR Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
2020	A*	`conf`	Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh
2020	A*	`conf`	Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh
2019	J	`jnl`	Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2019	A*	`conf`	Robust Decision Trees Against Adversarial Examples. ICML Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
2019	J	`jnl`	Robust Decision Trees Against Adversarial Examples. CoRR Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
2019	A*	`conf`	Robustness Verification of Tree-based Models. NeurIPS Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
2019	J	`jnl`	Robustness Verification of Tree-based Models. CoRR Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
2019	—	`conf`	The Limitations of Adversarial Training and the Blind-Spot Attack. ICLR (Poster) Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
2019	J	`jnl`	The Limitations of Adversarial Training and the Blind-Spot Attack. CoRR Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
2019	A*	`conf`	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. IJCAI Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019	J	`jnl`	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. CoRR Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019	J	`jnl`	Towards Stable and Efficient Training of Verifiably Robust Neural Networks. CoRR Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
2018	—	`conf`	Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. ACL (1) Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
2018	—	`conf`	Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. ECCV (12) Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018	J	`jnl`	Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. CoRR Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018	A*	`conf`	Towards Fast Computation of Certified Robustness for ReLU Networks. ICML Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon
2018	J	`jnl`	Towards Fast Computation of Certified Robustness for ReLU Networks. CoRR Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel
2017	J	`jnl`	Efficient Spatial Variation Characterization via Matrix Completion. CoRR Hongge Chen, Duane S. Boning, Zheng Zhang
2017	A	`conf`	Online and incremental machine learning approaches for IC yield improvement. ICCAD Hongge Chen, Duane S. Boning
2017	J	`jnl`	Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning. CoRR Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh