Zhao, Yue

58 publications

NeurIPS 2025 Common Task Framework for a Critical Evaluation of Scientific Machine Learning Algorithms Philippe Martin Wyder, Judah A Goldfeder, Alexey Yermakov, Yue Zhao, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles Cranmer, J. Nathan Kutz

CVPR 2025 DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao

ICLR 2025 Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans, Daniel Jesus Diaz

NeurIPS 2025 DyFlow: Dynamic Workflow Framework for Agentic Reasoning Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen

CVPR 2025 Edit Away and My Face Will Not Stay: Personal Biometric Defense Against Malicious Generative Editing Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu

ECML-PKDD 2025 Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao

ICLR 2025 Image and Video Tokenization with Binary Spherical Quantization Yue Zhao, Yuanjun Xiong, Philipp Kraehenbuehl

TMLR 2025 LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao

ICLR 2025 MetaOOD: Automatic Selection of OOD Detection Models Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

ICML 2025 Multivariate Conformal Selection Tian Bai, Yue Zhao, Xiang Yu, Archer Y. Yang

NeurIPS 2025 OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation Xiaoan Zhu, Yue Zhao, Tianyang Hu, Jiaming Guo, Yulan Zeng, Renjing Pei, Fenglong Song, Huajun Feng

CVPR 2025 One-Minute Video Generation with Test-Time Training Karan Dalal, Daniel Koceja, Jiarui Xu, Yue Zhao, Shihao Han, Ka Chun Cheung, Jan Kautz, Yejin Choi, Yu Sun, Xiaolong Wang

ICCV 2025 RayZer: A Self-Supervised Large View Synthesis Model Hanwen Jiang, Hao Tan, Peng Wang, Haian Jin, Yue Zhao, Sai Bi, Kai Zhang, Fujun Luan, Kalyan Sunkavalli, Qixing Huang, Georgios Pavlakos

ICCV 2025 Secure On-Device Video OOD Detection Without Backpropagation Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao

ICLRW 2025 Why Does Private Fine-Tuning Resist Differential Privacy Noise? a Representation Learning Perspective Yue Zhao, Xia Yutong, Chendi Wang

CVPR 2024 Bayesian Diffusion Models for 3D Shape Reconstruction Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu

NeurIPSW 2024 DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning Jiaqing Xie, Yue Zhao, Tianfan Fu

NeurIPSW 2024 Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans, Daniel Jesus Diaz

CVPR 2024 Distilling Vision-Language Models on Millions of Videos Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krahenbuhl, Liangzhe Yuan

ECML-PKDD 2024 Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph Completion Mei Yu, Yilin Zuo, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Yue Zhao, Jiujiang Guo, Jian Yu

AutoML 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao, Leman Akoglu

ICLR 2024 LEAP: Liberate Sparse-View 3D Modeling from Camera Poses Hanwen Jiang, Zhenyu Jiang, Yue Zhao, Qixing Huang

ICLR 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning Across Languages Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun

NeurIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Dipam Chakraborty, Yue Zhao, Marko Tesic, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, Joel Z Leibo

NeurIPS 2024 MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong, Yue Zhao, Eleni Chatzi, Olga Fink

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICML 2024 Preference Optimization for Molecule Synthesis with Conditional Residual Energy-Based Models Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu

AAAI 2024 Towards Reproducible, Automated, and Scalable Anomaly Detection Yue Zhao

NeurIPSW 2024 Towards Secure and Private AI: A Framework for Decentralized Inference Hongyang Zhang, Yue Zhao, Chao Yang, Ahmad Farhan, Fielding Johnston

AAAI 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation Yue Zhao, Congyi Li, Kai Chen

ICML 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong

NeurIPS 2023 ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao

AAAI 2023 ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah

ECML-PKDD 2023 DSV: An Alignment Validation Loss for Self-Supervised Outlier Model Selection Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu

ICML 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

CVPR 2023 Learning Video Representations from Large Language Models Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar

NeurIPS 2022 ADBench: Anomaly Detection Benchmark Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao

ECCV 2022 BA-Net: Bridge Attention for Deep Convolutional Neural Networks Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang

NeurIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu

ECML-PKDD 2022 Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents Yue Zhao, José Hernández-Orallo

ECCVW 2022 Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks Haodong Duan, Yue Zhao, Kai Chen, Yuanjun Xiong, Dahua Lin

ECCV 2022 Real-Time Online Video Detection with Temporal Smoothing Transformers Yue Zhao, Philipp Krähenbühl

CVPR 2022 Revisiting Skeleton-Based Action Recognition Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai

NeurIPS 2021 Automatic Unsupervised Outlier Model Selection Yue Zhao, Ryan Rossi, Leman Akoglu

ICML 2021 Debiasing Model Updates for Improving Personalized Federated Training Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas, Matthew Mattina, Paul Whatmough, Venkatesh Saligrama

ICLR 2021 Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar, Yue Zhao, Ramon Matas, Matthew Mattina, Paul Whatmough, Venkatesh Saligrama

ICCV 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li, Zhirui Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou

AAAI 2021 TODS: An Automated Time Series Outlier Detection System Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu

CVPR 2021 TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

AAAI 2020 Combining Machine Learning Models Using Combo Library Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding

ECCV 2020 Omni-Sourced Webly-Supervised Learning for Video Recognition Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin

NeurIPSW 2019 Learning to Recover Sparse Signals Sichen Zhong, Yue Zhao, Jianshu Chen

MLOSS 2019 PyOD: A Python Toolbox for Scalable Outlier Detection Yue Zhao, Zain Nasrullah, Zheng Li

ECCV 2018 Find and Focus: Retrieve and Localize Video Events with Natural Language Queries Dian Shao, Yu Xiong, Yue Zhao, Qingqiu Huang, Yu Qiao, Dahua Lin

ECCV 2018 PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng

NeurIPS 2018 Trajectory Convolution for Action Recognition Yue Zhao, Yuanjun Xiong, Dahua Lin

ICCV 2017 Temporal Action Detection with Structured Segment Networks Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin

ICML 2015 Yinyang K-Means: A Drop-in Replacement of the Classic K-Means with Consistent Speedup Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz