Zhao, Bingchen

33 publications

ICCV 2025 "Principal Components" Enable a New Language of Images Xin Wen, Bingchen Zhao, Ismail Elezi, Jiankang Deng, Xiaojuan Qi

CVPR 2025 A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi

TMLR 2025 AQA-Bench: An Interactive Benchmark for Evaluating LLMs’ Sequential Reasoning Ability in Algorithmic Environments Siwei Yang, Bingchen Zhao, Cihang Xie

TMLR 2025 AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie

ICLR 2025 HQ-Edit: A High-Quality Dataset for Instruction-Based Image Editing Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Cihang Xie, Yuyin Zhou

ICCV 2025 Oasis: One Image Is All You Need for Multimodal Instruction Data Synthesis Letian Zhang, Quan Cui, Bingchen Zhao, Cheng Yang

NeurIPS 2025 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements 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, Karen Hambardzumyan, Martin Josifoski, Edan Toledo, Thomas Foster, Lucia Cipolina-Kun, Derek Dunfield, Abhishek Charnalia, Alexander H Miller, Oisin Mac Aodha, Jakob Nicolaus Foerster, Yoram Bachrach

ICML 2025 What if We Recaption Billions of Web Images with Llama-3? Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie

ECCV 2024 A Semantic Space Is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan Yuille, Yuyin Zhou, Cihang Xie

ICML 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy Hospedales

ECCV 2024 How Many Unicorns Are in This Image? a Safety Evaluation Benchmark for Vision LLMs Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

ECCV 2024 Labeled Data Selection for Category Discovery Bingchen Zhao, Nico Lang, Serge Belongie, Oisin Mac Aodha

ECCV 2024 PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery Fernando Julio Cendra, Bingchen Zhao, Kai Han

TMLR 2024 Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie

ICLR 2024 Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie

TMLR 2024 Vision Learners Meet Web Image-Text Pairs Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang, Oisin Mac Aodha

NeurIPS 2024 What Makes CLIP More Robust to Long-Tailed Pre-Training Data? a Controlled Study for Transferable Insights Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi

CVPR 2024 What if the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-Modal Language Models Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Yongshuo Zong, Xin Wen, Bingchen Zhao

ICCV 2023 Incremental Generalized Category Discovery Bingchen Zhao, Oisin Mac Aodha

ICCV 2023 Learning Semi-Supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao, Xin Wen, Kai Han

ICCV 2023 Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen, Bingchen Zhao, Xiaojuan Qi

NeurIPSW 2023 Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie

ICCVW 2023 What if the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-Modal Language Models Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Bingchen Zhao

ECCV 2022 Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie

ICMLW 2022 OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski

ECCV 2022 OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski

NeurIPS 2022 Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi

ICCV 2021 Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen

NeurIPS 2021 Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation Bingchen Zhao, Kai Han

WACV 2021 Temporal Context Aggregation for Video Retrieval with Contrastive Learning Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue

ECCVW 2020 Distilling Visual Priors from Self-Supervised Learning Bingchen Zhao, Xin Wen

CVPRW 2020 Reducing the Feature Divergence of RGB and Near-Infrared Images Using Switchable Normalization Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang

CVPRW 2020 The 1st Agriculture-Vision Challenge: Methods and Results 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