Zhang, Jingyang

24 publications

ICML 2025 Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen

TMLR 2025 Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

ICCV 2025 Keyframe-Oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing Yudong Liu, Jingwei Sun, Yueqian Lin, Jianyi Zhang, Jingyang Zhang, Ming Yin, Qinsi Wang, Hai Li, Yiran Chen

ICLRW 2025 LoBAM: LoRA-Based Backdoor Attack on Model Merging Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Helen Li, Yiran Chen

CVPR 2025 Matrix3D: Large Photogrammetry Model All-in-One Yuanxun Lu, Jingyang Zhang, Tian Fang, Jean-Daniel Nahmias, Yanghai Tsin, Long Quan, Xun Cao, Yao Yao, Shiwei Li

ICLR 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Frank Yang, Hai Li

ICLR 2025 Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li

ICML 2025 SADA: Stability-Guided Adaptive Diffusion Acceleration Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

ICML 2025 Which Agent Causes Task Failures and When? on Automated Failure Attribution of LLM Multi-Agent Systems Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu

CVPR 2024 Direct2.5: Diverse Text-to-3D Generation via Multi-View 2.5d Diffusion Yuanxun Lu, Jingyang Zhang, Shiwei Li, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, Xun Cao, Yao Yao

ICLR 2024 JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David Neil McKinnon, Yanghai Tsin, Long Quan, Yao Yao

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

ICLRW 2024 Unsolvable Problem Detection for Vision Language Models Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

CoLLAs 2023 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen

WACV 2023 Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li

ICCV 2023 NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation Jingyang Zhang, Yao Yao, Shiwei Li, Jingbo Liu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

CVPR 2022 Critical Regularizations for Neural Surface Reconstruction in the Wild Jingyang Zhang, Yao Yao, Shiwei Li, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

NeurIPSW 2022 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen

ECCV 2022 NeILF: Neural Incident Light Field for Physically-Based Material Estimation Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

CVPRW 2022 Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang, Yiran Chen, Hai Helen Li

ICCVW 2021 Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen

ICCV 2021 Learning Signed Distance Field for Multi-View Surface Reconstruction Jingyang Zhang, Yao Yao, Long Quan

NeurIPS 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li