Tianyi Zhou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 73

Top Topics

Reinforcement Learning

Information Geometry

Contextual Bandit

Top Venues

Publications

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW (2024)
Zhiwei Li, Guodong Long, Tianyi Zhou
Federated Recommendation with Additive Personalization. ICLR (2024)
Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. ACL (1) (2024)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. CoRR (2024)
Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin
FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. IEEE Trans. Fuzzy Syst. 32 (8) (2024)
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
Corpus-Steered Query Expansion with Large Language Models. EACL (2) (2024)
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR (2024)
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR (2024)
Jiuhai Chen, Rifaa Qadri, Yuxin Wen, Neel Jain, John Kirchenbauer, Tianyi Zhou, Tom Goldstein
GenQA: Generating Millions of Instructions from a Handful of Prompts. CoRR (2024)
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? CoRR (2024)
Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. ICLR (2024)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. ACL (Findings) (2024)
Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. CoRR (2024)
Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy
Automatic Curriculum for Unsupervised Reinforcement Learning. AAMAS (2024)
Ziyue Li, Tian Li, Virginia Smith, Jeff Bilmes, Tianyi Zhou
Many-Objective Multi-Solution Transport. CoRR (2024)
Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang
OPTune: Efficient Online Preference Tuning. CoRR (2024)
Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. ACL (Findings) (2024)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. ICLR (2024)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD (2024)
Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, Dinesh Manocha
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. CoRR (2024)
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. NAACL-HLT (2024)
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
Multi-Objective Linguistic Control of Large Language Models. ACL (Findings) (2024)
Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
ODIN: Disentangled Reward Mitigates Hacking in RLHF. CoRR (2024)
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR (2024)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou
A Survey on Knowledge Distillation of Large Language Models. CoRR (2024)
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
Meta-Task Prompting Elicits Embeddings from Large Language Models. ACL (1) (2024)
Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou
FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. Inf. Fusion 112 (2024)
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
Corpus-Steered Query Expansion with Large Language Models. CoRR (2024)
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. ACL (Findings) (2024)
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
Meta-Task Prompting Elicits Embedding from Large Language Models. CoRR (2024)
Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. CoRR (2024)
Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang
Multi-Level Additive Modeling for Structured Non-IID Federated Learning. CoRR (2024)
Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. CoRR (2024)
Songhua Wu, Tianyi Zhou, Yuxuan Du, Jun Yu, Bo Han, Tongliang Liu
A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? CoRR (2023)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Structured Cooperative Learning with Graphical Model Priors. CoRR (2023)
Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. CoRR (2023)
Kaiwen Yang, Tao Shen, Xinmei Tian, Xiubo Geng, Chongyang Tao, Dacheng Tao, Tianyi Zhou
Good Questions Help Zero-Shot Image Reasoning. CoRR (2023)
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CoRR (2023)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning. ECML/PKDD (4) (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
Graph-guided Personalization for Federated Recommendation. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR (2023)
Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha
AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image. CoRR (2023)
Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang
Spatial-temporal Prompt Learning for Federated Weather Forecasting. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? ICML (2023)
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. IJCAI (2023)
Zhiwei Li, Guodong Long, Tianyi Zhou
Federated Recommendation with Additive Personalization. CoRR (2023)
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. CoRR (2023)
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. CoRR (2023)
Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou
How Many Demonstrations Do You Need for In-context Learning? EMNLP (Findings) (2023)
Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) 26 (1) (2023)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Structured Cooperative Learning with Graphical Model Priors. ICML (2023)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning. CoRR (2023)
Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Structured Federated Learning through Clustered Additive Modeling. NeurIPS (2023)
Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. CoRR (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) (2023)
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang
Large Language Models are Strong Zero-Shot Retriever. CoRR (2023)
Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models. CoRR (2023)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. CoRR (2023)
Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS (2023)
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. ICML (2023)
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. EMNLP (2022)
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS (2022)
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. NeurIPS (2022)
Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
Retrospective Adversarial Replay for Continual Learning. NeurIPS (2022)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)