Yang, Liu

53 publications

TMLR 2026 VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley Osher

IJCAI 2025 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu

IJCAI 2025 An Out-of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu

AAAI 2025 ConFREE: Conflict-Free Client Update Aggregation for Personalized Federated Learning Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, Boyu Wang

ICML 2025 Everything Everywhere All at Once: LLMs Can In-Context Learn Multiple Tasks in Superposition Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos

ICCV 2025 F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration Lu Liu, Huiyu Duan, Qiang Hu, Liu Yang, Chunlei Cai, Tianxiao Ye, Huayu Liu, Xiaoyun Zhang, Guangtao Zhai

CVPR 2025 FedCALM: Conflict-Aware Layer-Wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, Boyu Wang

CVPR 2025 FineVQ: Fine-Grained User Generated Content Video Quality Assessment Huiyu Duan, Qiang Hu, Jiarui Wang, Liu Yang, Zitong Xu, Lu Liu, Xiongkuo Min, Chunlei Cai, Tianxiao Ye, Xiaoyun Zhang, Guangtao Zhai

AAAI 2025 HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li

AISTATS 2025 How Well Can Transformers Emulate In-Context Newton’s Method? Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee

ICCV 2025 Long-Tailed Classification with Multi-Granularity Semantics Yuting Liu, Liu Yang, Yu Wang

CVPRW 2025 NTIRE 2025 Challenge on Text to Image Generation Model Quality Assessment Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, Zicheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu, Hesong Li, Dehua Liu, Zeming Liu, Qingsong Xie, Ruichen Wang, Zhihao Li, Yuqi Liang, Jianqi Bi, Jun Luo, Junfeng Yang, Can Li, Jing Fu, Hongwei Xu, Mingrui Long, Lulin Tang

CVPRW 2025 NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Xiaohong Liu, Xiongkuo Min, Qiang Hu, Xiaoyun Zhang, Jie Guo, Guangtao Zhai, Shushi Wang, Yingjie Zhou, Lu Liu, Jingxin Li, Liu Yang, Farong Wen, Li Xu, Yanwei Jiang, Xilei Zhu, Chunyi Li, Zicheng Zhang, Huiyu Duan, Xiele Wu, Yixuan Gao, Yuqin Cao, Jun Jia, Wei Sun, Jiezhang Cao, Radu Timofte, Baojun Li, Jiamian Huang, Dan Luo, Tao Liu, Weixia Zhang, Bingkun Zheng, Junlin Chen, Ruikai Zhou, Meiya Chen, Yu Wang, Hao Jiang, Xiantao Li, Yuxiang Jiang, Jun Tang, Yimeng Zhao, Bo Hu, Zelu Qi, Chaoyang Zhang, Fei Zhao, Ping Shi, Lingzhi Fu, Heng Cong, Shuai He, Rongyu Zhang, Jiarong He, Zongyao Hu, Wei Luo, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, Mengjing Su, Yi Wang, Tuo Chen, Chunxiao Li, Shuaiyu Zhao, Jiaxin Wen, Chuyi Lin, Sitong Liu, Ningxin Chu, Jing Wan, Yu Zhou, Baoying Chen, Jishen Zeng, Jiarui Liu, Xianjin Liu, Xin Chen, Lanzhi Zhou, Hangyu Li, You Han, Bibo Xiang, Zhenjie Liu, Jianzhang Lu, Jialin Gui, Renjie Lu, Shangfei Wang, Donghao Zhou, Jingyu Lin, Quanjian Song, Jiancheng Huang, Yufeng Yang, Changwei Wang, Shupeng Zhong, Yang Yang, Lihuo He, Jia Liu, Yuting Xing, Tida Fang, Yuchun Jin

TMLR 2025 Preference Discerning with LLM-Enhanced Generative Retrieval Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky T. Q. Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh

ALT 2025 Reliable Active Apprenticeship Learning Steve Hanneke, Liu Yang, Gongju Wang, Yulun Song

TMLR 2025 Unifying Generative and Dense Retrieval for Sequential Recommendation Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D Nowak, Xiaoli Gao, Hamid Eghbalzadeh

ECML-PKDD 2024 Hierarchical Fine-Grained Visual Classification Leveraging Consistent Hierarchical Knowledge Yuting Liu, Liu Yang, Yu Wang

ICLR 2024 Looped Transformers Are Better at Learning Learning Algorithms Liu Yang, Kangwook Lee, Robert D Nowak, Dimitris Papailiopoulos

COLT 2023 Bandit Learnability Can Be Undecidable Steve Hanneke, Liu Yang

IJCAI 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo

ICMLW 2023 Looped Transformers Are Better at Learning Learning Algorithms Liu Yang, Kangwook Lee, Robert D Nowak, Dimitris Papailiopoulos

CVPR 2023 Reliable and Interpretable Personalized Federated Learning Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu

NeurIPSW 2022 A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris Papailiopoulos, Kangwook Lee, Robert D Nowak

NeurIPS 2022 Rare Gems: Finding Lottery Tickets at Initialization Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee, Dimitris Papailiopoulos

AISTATS 2021 Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries Steve Hanneke, Liu Yang

AAAI 2021 Flow-Based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

ICLR 2021 Long Range Arena : A Benchmark for Efficient Transformers Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler

ICML 2020 Sparse Sinkhorn Attention Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan

AISTATS 2019 Statistical Learning Under Nonstationary Mixing Processes Steve Hanneke, Liu Yang

IJCAI 2018 Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang

ECML-PKDD 2018 Risk-Averse Matchings over Uncertain Graph Databases Charalampos E. Tsourakakis, Shreyas Sekar, Johnson Lam, Liu Yang

ALT 2015 Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks Liu Yang, Steve Hanneke, Jaime G. Carbonell

ALT 2015 Learning with a Drifting Target Concept Steve Hanneke, Varun Kanade, Liu Yang

JMLR 2015 Minimax Analysis of Active Learning Steve Hanneke, Liu Yang

CVPR 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification Liping Jing, Liu Yang, Jian Yu, Michael K. Ng

IJCAI 2015 Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering Liping Jing, Peng Wang, Liu Yang

MLJ 2013 A Theory of Transfer Learning with Applications to Active Learning Liu Yang, Steve Hanneke, Jaime G. Carbonell

ICML 2013 Activized Learning with Uniform Classification Noise Liu Yang, Steve Hanneke

NeurIPS 2013 Buy-in-Bulk Active Learning Liu Yang, Jaime Carbonell

CVPRW 2012 SURF Cascade Face Detection Acceleration on Sandy Bridge Processor Eric Li, Liu Yang, Bin Wang, Jianguo Li, Ya-ti Peng

NeurIPS 2011 Active Learning with a Drifting Distribution Liu Yang

COLT 2011 Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning Liu Yang, Steve Hanneke, Jaime Carbonell

AISTATS 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning Liu Yang, Steve Hanneke, Jaime Carbonell

ALT 2010 Bayesian Active Learning Using Arbitrary Binary Valued Queries Liu Yang, Steve Hanneke, Jaime G. Carbonell

AISTATS 2010 Negative Results for Active Learning with Convex Losses Steve Hanneke, Liu Yang

ICML 2009 Online Learning by Ellipsoid Method Liu Yang, Rong Jin, Jieping Ye

NeurIPS 2008 Semi-Supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization Liu Yang, Rong Jin, Rahul Sukthankar

CVPR 2008 Unifying Discriminative Visual Codebook Generation with Classifier Training for Object Category Recognition Liu Yang, Rong Jin, Rahul Sukthankar, Frédéric Jurie

UAI 2007 Bayesian Active Distance Metric Learning Liu Yang, Rong Jin, Rahul Sukthankar

CVPR 2007 Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar

AAAI 2006 An Efficient Algorithm for Local Distance Metric Learning Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu

AAAI 2006 Semi-Supervised Multi-Label Learning by Constrained Non-Negative Matrix Factorization Yi Liu, Rong Jin, Liu Yang

ECCV 2004 Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras