Zhou, Tianyi

96 publications

ICLR 2025 BenTo: Benchmark Reduction with In-Context Transferability Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou

NeurIPS 2025 ColorBench: Can VLMs See and Understand the Colorful World? a Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Adu Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou

ICLR 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang

ICCV 2025 Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion Yijun Liang, Shweta Bhardwaj, Tianyi Zhou

NeurIPS 2025 Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh

NeurIPS 2025 Faster Algorithms for Structured John Ellipsoid Computation Yang Cao, Xiaoyu Li, Zhao Song, Xin Yang, Tianyi Zhou

CVPR 2025 Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao

AISTATS 2025 Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou

ICLR 2025 Is Your Multimodal Language Model Oversensitive to Safe Queries? Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh

ICLR 2025 Many-Objective Multi-Solution Transport Ziyue Li, Tian Li, Virginia Smith, Jeff Bilmes, Tianyi Zhou

ICLR 2025 OmnixR: Evaluating Omni-Modality Language Models on Reasoning Across Modalities Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

AAAI 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang

ICML 2025 Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang

ICML 2025 R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts Zhongyang Li, Ziyue Li, Tianyi Zhou

ICCV 2025 RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters Xiaolin Liu, Tianyi Zhou, Hongbo Kang, Jian Ma, Ziwen Wang, Jing Huang, Wenguo Weng, Yu-Kun Lai, Kun Li

ICLRW 2025 TRIG-Bench: A Benchmark for Text-Rich Image Grounding Ming Li, Ruiyi Zhang, Jian Chen, Tianyi Zhou

ICLR 2025 The Crystal Ball Hypothesis in Diffusion Models: Anticipating Object Positions from Initial Noise Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng

ICML 2025 Tilted Sharpness-Aware Minimization Tian Li, Tianyi Zhou, Jeff Bilmes

ICLR 2025 Transformers Learn Low Sensitivity Functions: Investigations and Implications Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

NeurIPS 2025 VideoHallu: Evaluating and Mitigating Multi-Modal Hallucinations on Synthetic Video Understanding Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Lee Boyd-Graber

NeurIPS 2025 WALL-E: World Alignment by NeuroSymbolic Learning Improves World Model-Based LLM Agents Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

TMLR 2025 YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning Jiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie Shao

ICLR 2025 Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free Ziyue Li, Tianyi Zhou

ICLR 2024 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

ICML 2024 Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models Jan Van Den Brand, Zhao Song, Tianyi Zhou

ICLR 2024 AlpaGasus: Training a Better Alpaca with Fewer Data Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin

ECCV 2024 Do Text-Free Diffusion Models Learn Discriminative Visual Representations? Soumik Mukhopadhyay, Matthew A Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava

NeurIPS 2024 Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang

CVPR 2024 Embodied Multi-Modal Agent Trained by an LLM from a Parallel TextWorld Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi

ICLR 2024 Federated Recommendation with Additive Personalization Zhiwei Li, Guodong Long, Tianyi Zhou

CVPR 2024 HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

ICML 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou

ICML 2024 ODIN: Disentangled Reward Mitigates Hacking in RLHF Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro

ICML 2024 One Prompt Is Not Enough: Automated Construction of a Mixture-of-Expert Prompts Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh

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

NeurIPS 2024 Pre-Trained Large Language Models Use Fourier Features to Compute Addition Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia

ICLR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang

NeurIPS 2024 The Closeness of In-Context Learning and Weight Shifting for SoftMax Regression Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou

ECCV 2024 When and How Do Negative Prompts Take Effect? Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh

ICML 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi

ICML 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen

ICML 2023 Does Continual Learning Equally Forget All Parameters? Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2023 Dual Personalization on Federated Recommendation Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang

ECML-PKDD 2023 Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

NeurIPS 2023 H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark Barrett, Zhangyang "Atlas" Wang, Beidi Chen

ICMLW 2023 H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Re, Clark Barrett, Zhangyang Wang, Beidi Chen

NeurIPS 2023 Module-Wise Adaptive Distillation for Multimodality Foundation Models Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

NeurIPSW 2023 NLPBench: Evaluating Large Language Models on Solving NLP Problems Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li

NeurIPSW 2023 Reflection-Tuning: Recycling Data for Better Instruction-Tuning Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Tianyi Zhou

ICML 2023 Structured Cooperative Learning with Graphical Model Priors Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

NeurIPS 2023 Structured Federated Learning Through Clustered Additive Modeling Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ICCV 2023 Subclass-Balancing Contrastive Learning for Long-Tailed Recognition Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou

ECML-PKDD 2023 Voting from Nearest Tasks: Meta-Vote Pruning of Pre-Trained Models for Downstream Tasks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ICCV 2023 When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou, Jieyu Zhang, Tianyi Zhou

NeurIPS 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

ICLR 2022 Diverse Client Selection for Federated Learning via Submodular Maximization Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff Bilmes

ICML 2022 EAT-C: Environment-Adversarial Sub-Task Curriculum for Efficient Reinforcement Learning Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang

TMLR 2022 Extracting Local Reasoning Chains of Deep Neural Networks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2022 FedProto: Federated Prototype Learning Across Heterogeneous Clients Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

NeurIPS 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang

ICMLW 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang

ICML 2022 Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao

CVPR 2022 Learning to Collaborate in Decentralized Learning of Personalized Models Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

ICLR 2022 Omni-Scale CNNs: A Simple and Effective Kernel Size Configuration for Time Series Classification Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang

ICLR 2022 Pareto Policy Pool for Model-Based Offline Reinforcement Learning Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi

IJCAI 2022 Personalized Federated Learning with a Graph Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang

NeurIPS 2022 Retrospective Adversarial Replay for Continual Learning Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A Bilmes

ICMLW 2022 Vote for Nearest Neighbors Meta-Pruning of Self-Supervised Networks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AISTATS 2021 Curriculum Learning by Optimizing Learning Dynamics Tianyi Zhou, Shengjie Wang, Jeff Bilmes

ICLR 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy

NeurIPS 2021 CO-PILOT: COllaborative Planning and reInforcement Learning on Sub-Task Curriculum Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

NeurIPS 2021 Class-Disentanglement and Applications in Adversarial Detection and Defense Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao

NeurIPS 2021 Constrained Robust Submodular Partitioning Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A Bilmes

ICLR 2021 Isometric Propagation Network for Generalized Zero-Shot Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

ICLR 2021 Robust Curriculum Learning: From Clean Label Detection to Noisy Label Self-Correction Tianyi Zhou, Shengjie Wang, Jeff Bilmes

AAAI 2020 Attribute Propagation Network for Graph Zero-Shot Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

NeurIPS 2020 Curriculum Learning by Dynamic Instance Hardness Tianyi Zhou, Shengjie Wang, Jeffrey Bilmes

AAAI 2020 Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

ICML 2020 Time-Consistent Self-Supervision for Semi-Supervised Learning Tianyi Zhou, Shengjie Wang, Jeff Bilmes

ICML 2019 Bias Also Matters: Bias Attribution for Deep Neural Network Explanation Shengjie Wang, Tianyi Zhou, Jeff Bilmes

NeurIPS 2019 Curriculum-Guided Hindsight Experience Replay Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang

ICML 2019 Jumpout : Improved Dropout for Deep Neural Networks with ReLUs Shengjie Wang, Tianyi Zhou, Jeff Bilmes

NeurIPS 2019 Learning to Propagate for Graph Meta-Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2019 Prototype Propagation Networks (PPN) for Weakly-Supervised Few-Shot Learning on Category Graph Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

ICLR 2018 Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2018 DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

NeurIPS 2018 Diverse Ensemble Evolution: Curriculum Data-Model Marriage Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes

ICLR 2018 Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity Tianyi Zhou, Jeff Bilmes

IJCAI 2018 Reinforced Self-Attention Network: A Hybrid of Hard and Soft Attention for Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

AISTATS 2017 Scaling Submodular Maximization via Pruned Submodularity Graphs Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin

NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin

AISTATS 2013 Greedy Bilateral Sketch, Completion & Smoothing Tianyi Zhou, Dacheng Tao

IJCAI 2013 Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation Tianyi Zhou, Dacheng Tao

MLJ 2012 Compressed Labeling on Distilled Labelsets for Multi-Label Learning Tianyi Zhou, Dacheng Tao, Xindong Wu

AISTATS 2012 Multi-Label Subspace Ensemble Tianyi Zhou, Dacheng Tao

ICML 2011 GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case Tianyi Zhou, Dacheng Tao