Bingchen Zhao

87 papers A* 13A 3B 1Journal 57Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
APRES: An Agentic Paper Revision and Evaluation System.
CoRR
Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach
2026 J jnl
Composable Visual Tokenizers with Generator-Free Diagnostics of Learnability.
CoRR
Bingchen Zhao, Qiushan Guo, Ye Wang, Yixuan Huang, Zhonghua Zhai, Yu Tian
2026 J jnl
Hyperagents.
CoRR
Jenny Zhang, Bingchen Zhao, Wannan Yang, Jakob N. Foerster, Jeff Clune, Minqi Jiang, Sam Devlin, Tatiana Shavrina
2026 J jnl
Thinking by Subtraction: Confidence-Driven Contrastive Decoding for LLM Reasoning.
CoRR
Lexiang Tang, Weihao Gao, Bingchen Zhao, Lu Ma, Qiao Jin, Bang Yang, Yuexian Zou
2026 J jnl
\texttt{Complex-Edit}: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark.
Trans. Mach. Learn. Res.
Siwei Yang, Mude Hui, Bingchen Zhao, Yuyin Zhou, Nataniel Ruiz, Cihang Xie
2025 J jnl
"Principal Components" Enable A New Language of Images.
CoRR
Xin Wen, Bingchen Zhao, Ismail Elezi, Jiankang Deng, Xiaojuan Qi
2025 A* conf
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning.
CVPR
Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
2025 J jnl
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning.
CoRR
Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
2025 J jnl
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability in Algorithmic Environments.
Trans. Mach. Learn. Res.
Siwei Yang, Bingchen Zhao, Cihang Xie
2025 J jnl
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.
Trans. Mach. Learn. Res.
Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie
2025 J jnl
Complex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark.
CoRR
Siwei Yang, Mude Hui, Bingchen Zhao, Yuyin Zhou, Nataniel Ruiz, Cihang Xie
2025 J jnl
GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset.
CoRR
Yuhan Wang, Siwei Yang, Bingchen Zhao, Letian Zhang, Qing Liu, Yuyin Zhou, Cihang Xie
2025 J jnl
Generalized Category Discovery under the Long-Tailed Distribution.
CoRR
Bingchen Zhao, Kai Han
2025 A* conf
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.
ICLR
Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Cihang Xie, Yuyin Zhou
2025 J jnl
Interpretable Text-Guided Image Clustering via Iterative Search.
CoRR
Bingchen Zhao, Oisin Mac Aodha
2025 — conf
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.
NAACL (System Demonstrations)
Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin
2025 J jnl
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis.
CoRR
Letian Zhang, Quan Cui, Bingchen Zhao, Cheng Yang
2025 J jnl
The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements.
CoRR
Bingchen Zhao, Despoina Magka, Minqi Jiang, Xian Li, Roberta Raileanu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Kelvin Niu, Shagun Sodhani, Michael Shvartsman, Andrei Lupu, Alisia Maria Lupidi, Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Thomas Foster, Lucia Cipolina-Kun, Abhishek Charnalia, Derek Dunfield, Alexander H. Miller, Oisin Mac Aodha, Jakob N. Foerster, Yoram Bachrach
2025 A* conf
What If We Recaption Billions of Web Images with LLaMA-3?
ICML
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie
2024 J jnl
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
CoRR
Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou
2024 — conf
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
ECCV (38)
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie
2024 J jnl
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability.
CoRR
Siwei Yang, Bingchen Zhao, Cihang Xie
2024 J jnl
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.
CoRR
Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie
2024 J jnl
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning.
CoRR
Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales
2024 J jnl
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery.
CoRR
Ye Wang, Yaxiong Wang, Yujiao Wu, Bingchen Zhao, Xueming Qian
2024 — conf
Beyond the Known: Novel Class Discovery for Open-World Graph Learning.
DASFAA (6)
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024 J jnl
Beyond the Known: Novel Class Discovery for Open-world Graph Learning.
CoRR
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024 J jnl
CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions.
CoRR
Yanqing Liu, Xianhang Li, Zeyu Wang, Bingchen Zhao, Cihang Xie
2024 B conf
Contextuality Helps Representation Learning for Generalized Category Discovery.
ICIP
Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang
2024 J jnl
Contextuality Helps Representation Learning for Generalized Category Discovery.
CoRR
Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang
2024 A conf
Debiased Prototypical Learning Improves Generalized Category Discovery.
ICME
Yu Wang, Bingchen Zhao, Yongchun Lu, Guoqiang Xiao, Quan Lu
2024 J jnl
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.
CoRR
Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu
2024 A* conf
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations.
ICML
Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales
2024 J jnl
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights.
CoRR
Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
2024 J jnl
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.
CoRR
Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, Cihang Xie
2024 — conf
How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.
ECCV (51)
Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie
2024 — conf
Labeled Data Selection for Category Discovery.
ECCV (55)
Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha
2024 J jnl
Labeled Data Selection for Category Discovery.
CoRR
Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha
2024 J jnl
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.
CoRR
Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin
2024 J jnl
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski
2024 — conf
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery.
ECCV (4)
Fernando Julio Cendra, Bingchen Zhao, Kai Han
2024 J jnl
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery.
CoRR
Fernando Julio Cendra, Bingchen Zhao, Kai Han
2024 J jnl
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics.
Trans. Mach. Learn. Res.
Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie
2024 A* conf
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning.
ICLR
Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
2024 J jnl
Vision Learners Meet Web Image-Text Pairs.
Trans. Mach. Learn. Res.
Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang, Oisin Mac Aodha
2024 J jnl
What If We Recaption Billions of Web Images with LLaMA-3?
CoRR
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie
2024 A* conf
What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
CVPR
Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Yongshuo Zong, Xin Wen, Bingchen Zhao
2024 A* conf
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights.
NeurIPS
Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
2023 J jnl
Compress & Align: Curating Image-Text Data with Human Knowledge.
CoRR
Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie
2023 J jnl
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations.
CoRR
Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales
2023 J jnl
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.
CoRR
Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie
2023 A* conf
Incremental Generalized Category Discovery.
ICCV
Bingchen Zhao, Oisin Mac Aodha
2023 J jnl
Incremental Generalized Category Discovery.
CoRR
Bingchen Zhao, Oisin Mac Aodha
2023 A* conf
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery.
ICCV
Bingchen Zhao, Xin Wen, Kai Han
2023 J jnl
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery.
CoRR
Bingchen Zhao, Xin Wen, Kai Han
2023 J jnl
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
CoRR
Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski
2023 A* conf
Parametric Classification for Generalized Category Discovery: A Baseline Study.
ICCV
Xin Wen, Bingchen Zhao, Xiaojuan Qi
2023 J jnl
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics.
CoRR
Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie
2023 J jnl
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning.
CoRR
Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
2023 J jnl
Vision Learners Meet Web Image-Text Pairs.
CoRR
Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang
2023 — conf
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
ICCV (Workshops)
Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Bingchen Zhao
2023 J jnl
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
CoRR
Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Yongshuo Zong, Bingchen Zhao
2022 J jnl
A Simple Parametric Classification Baseline for Generalized Category Discovery.
CoRR
Xin Wen, Bingchen Zhao, Xiaojuan Qi
2022 — conf
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective.
ECCV (26)
Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie
2022 J jnl
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective.
CoRR
Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Jiajun Liang, Boyan Zhou, Osamu Yoshie
2022 — conf
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
ECCV (8)
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski
2022 J jnl
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks.
CoRR
Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra
2022 A* conf
Self-Supervised Visual Representation Learning with Semantic Grouping.
NeurIPS
Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi
2022 J jnl
Self-Supervised Visual Representation Learning with Semantic Grouping.
CoRR
Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi
2022 A conf
XCon: Learning with Experts for Fine-grained Category Discovery.
BMVC
Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao
2022 J jnl
XCon: Learning with Experts for Fine-grained Category Discovery.
CoRR
Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao
2021 A* conf
Improving Contrastive Learning by Visualizing Feature Transformation.
ICCV
Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen
2021 J jnl
Improving Contrastive Learning by Visualizing Feature Transformation.
CoRR
Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen
2021 A* conf
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation.
NeurIPS
Bingchen Zhao, Kai Han
2021 J jnl
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation.
CoRR
Bingchen Zhao, Kai Han
2021 J jnl
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts.
CoRR
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski
2021 J jnl
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection.
CoRR
Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao
2021 J jnl
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization.
CoRR
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang
2021 A conf
Temporal Context Aggregation for Video Retrieval with Contrastive Learning.
WACV
Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue
2020 — conf
Characterizing Robotic and Organic Query in SPARQL Search Sessions.
APWeb/WAIM (1)
Xinyue Zhang, Meng Wang, Bingchen Zhao, Ruyang Liu, Jingyuan Zhang, Han Yang
2020 J jnl
Context Encoding for Video Retrieval with Contrastive Learning.
CoRR
Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue
2020 — conf
Distilling Visual Priors from Self-Supervised Learning.
ECCV Workshops (2)
Bingchen Zhao, Xin Wen
2020 J jnl
Distilling Visual Priors from Self-Supervised Learning.
CoRR
Bingchen Zhao, Xin Wen
2020 — conf
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization.
CVPR Workshops
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang
2020 — conf
The 1st Agriculture-Vision Challenge: Methods and Results.
CVPR Workshops
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2020 J jnl
The 1st Agriculture-Vision Challenge: Methods and Results.
CoRR
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2012 J jnl
The Hardware Solution of a New Image Processing Algorithm.
Int. J. Adv. Pervasive Ubiquitous Comput.
Yanwu Gao, Bin Zhang, Lili Gan, Bingchen Zhao