Tianyi Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 119

Top Venues

Publications

Yu Shen, Laura Zheng, Tianyi Zhou, C. Lin
Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering. ICRA (2024)
Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis
Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates. WWW (2024)
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
Multi-Objective Linguistic Control of Large Language Models. CoRR (2024)
Qimiao Xie, Tianyi Zhou, Changjian Wang, Xu Zhu, Chao Ma, Aifeng Zhang
An integrated uncertainty analysis method for the risk assessment of hydrogen refueling stations. Reliab. Eng. Syst. Saf. 248 (2024)
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. 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. CoRR (2024)
Haiyan Ma, Tianyi Zhou, Ying Chen, Maomao Chi
Research on the Peer Effect of Digital Innovation in Manufacturing Enterprises. WHICEB (2) (2024)
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers. CoRR (2024)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. CoRR (2024)
Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, 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, 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 Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou
MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion. CoRR (2024)
Yutong Yang, Yinuo Liu, Qishuo Bai, Tianyi Zhou, Ziduo Ye, Xiaoju Dong
EmoGeoCity: Interactive Visual Exploration of City's Historical and Cultural Evolution Based on Emotional Geography. PacificVis (2024)
Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou
RuleR: Improving LLM Controllability by Rule-based Data Recycling. CoRR (2024)
Liam Timms, Tianyi Zhou, Ju Qiao, Codi A. Gharagouzloo, Vishala Mishra, Rita Maria Lahoud, John W. Chen, Mukesh Harisinghani, Srinivas Sridhar
Super High Contrast USPIO-Enhanced Cerebrovascular Angiography Using Ultrashort Time-to-Echo MRI. Int. J. Biomed. Imaging 2024 (2024)
Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries? CoRR (2024)
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
Understanding the Impact of Negative Prompts: When and How Do They Take Effect? CoRR (2024)
Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis
Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates. CoRR (2024)
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR (2024)
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan
Simplicity Bias of Transformers to Learn Low Sensitivity Functions. CoRR (2024)
Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. CoRR (2024)
Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
Pre-trained Large Language Models Use Fourier Features to Compute Addition. CoRR (2024)
Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou
Taming Small-sample Bias in Low-budget Active Learning. CoRR (2023)
Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava
Do text-free diffusion models learn discriminative visual representations? CoRR (2023)
Zhao Song, Tianyi Zhou
Faster Sinkhorn's Algorithm with Small Treewidth. CoRR (2023)
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
When to Learn What: Model-Adaptive Data Augmentation Curriculum. ICCV (2023)
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR (2023)
Ritwik Sinha, Zhao Song, Tianyi Zhou
A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models. CoRR (2023)
Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou
When do you need Chain-of-Thought Prompting for ChatGPT? CoRR (2023)
Jiuhai Chen, Lichang Chen, Tianyi Zhou
It Takes One to Tango but More Make Trouble? In-Context Training with Different Number of Demonstrations. CoRR (2023)
Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition. ICCV (2023)
Jiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie Shao
Condensed Prototype Replay for Class Incremental Learning. CoRR (2023)
Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha
Aerial Diffusion: Text Guided Ground-to-Aerial View Synthesis from a Single Image using Diffusion Models. SIGGRAPH Asia Technical Communications (2023)
Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
Subclass-balancing Contrastive Learning for Long-tailed Recognition. CoRR (2023)
Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava
Diffusion Models Beat GANs on Image Classification. CoRR (2023)
Tianyi Zhou, Wei Fang
Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. GECCO Companion (2023)
Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models. CoRR (2023)
Davit Soselia, Khalid Saifullah, Tianyi Zhou
Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation. CoRR (2023)
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
When to Learn What: Model-Adaptive Data Augmentation Curriculum. CoRR (2023)
Yinuo Liu, Yifan Li, Binhao Zhao, Tianyi Zhou, Shengtao Chen, Xiaoju Dong
CAGviz: A Visual Analysis Method to Explore Cyber Asset Graphs of Cybercrime Gangs. CGI (3) (2023)
Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
Token Dropping for Efficient BERT Pretraining. ACL (1) (2022)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI (2022)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Learning to Collaborate in Decentralized Learning of Personalized Models. CVPR (2022)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Tianyi Zhou, Yu Liu, Hang Zhang, Feng Gao, Xiaolong Zhang
Optimization of Bit Matrix Index for Temporal RDF. CCKS (2022)
Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
Token Dropping for Efficient BERT Pretraining. CoRR (2022)
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. CoRR (2022)
Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. ICML (2022)
Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes
Diverse Client Selection for Federated Learning via Submodular Maximization. ICLR (2022)
Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML (2022)
Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi
Pareto Policy Pool for Model-based Offline Reinforcement Learning. ICLR (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. CoRR (2022)
Tianyi Zhou, Chengchao Liang, Qianbin Chen
Joint Caching and Computing of Software-Defined Space-Air-Ground Integrated Networks for Video Streaming Service Improvement. VTC Fall (2022)
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Personalized Federated Learning With Structure. CoRR (2022)
Zhuowei Wang, Tianyi Zhou, Guodong Long, Bo Han, Jing Jiang
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels. CoRR (2022)
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. CoRR (2022)
Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
On the Convergence of Clustered Federated Learning. CoRR (2022)
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
Phrase-level Textual Adversarial Attack with Label Preservation. CoRR (2022)
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
Phrase-level Textual Adversarial Attack with Label Preservation. NAACL-HLT (Findings) (2022)
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Personalized Federated Learning With a Graph. IJCAI (2022)
Li Dai, Zhiwen Qiang, Zhongqi Sun, Tianyi Zhou, Yuanqing Xia
Distributed Economic MPC for Dynamically Coupled Linear Systems With Uncertainties. IEEE Trans. Cybern. 52 (6) (2022)
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR (2022)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang
FedProto: Federated Prototype Learning over Heterogeneous Devices. CoRR (2021)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR (2021)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Isometric Propagation Network for Generalized Zero-shot Learning. CoRR (2021)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang
Multi-Center Federated Learning. CoRR (2021)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Isometric Propagation Network for Generalized Zero-shot Learning. ICLR (2021)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Robust Curriculum Learning: from clean label detection to noisy label self-correction. ICLR (2021)
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. ICLR (2021)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW (2021)
Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao
Class-Disentanglement and Applications in Adversarial Detection and Defense. NeurIPS (2021)
Tianyi Zhou, Xuehua Li, Chunyu Pan, Mingyu Zhou, Yuanyuan Yao
Multi-server federated edge learning for low power consumption wireless resource allocation based on user QoE. J. Commun. Networks 23 (6) (2021)
Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes
Constrained Robust Submodular Partitioning. NeurIPS (2021)
Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS (2021)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Curriculum Learning by Optimizing Learning Dynamics. AISTATS (2021)
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. CoRR (2021)
Tianyi Zhou, Tao Yu, Zheng Li, Xiaoxia Zhou, Jianbin Wen, Xiaoli Li
Functional mapping of language-related areas from natural, narrative speech during awake craniotomy surgery. NeuroImage 245 (2021)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP (Findings) (2021)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-Center Federated Learning. CoRR (2020)
Fazhong Shen, Huan Li, Kuiwen Xu, Tianyi Zhou, Nazar Muhammad Idrees, Changzhi Li, Lixin Ran
Induction Logging Through Casing by Detecting Lateral Waves: A Numerical Analysis. IEEE Trans. Geosci. Remote. Sens. 58 (4) (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-Shot Learning. AAAI (2020)
Chi Zhang, Yong Sheng Soh, Ling Feng, Tianyi Zhou, Qianxiao Li
Collaborative Inference for Efficient Remote Monitoring. CoRR (2020)
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-shot Learning. CoRR (2020)
Yujia Xie, Tianyi Zhou, Yi Mao, Weizhu Chen
Conditional Self-Attention for Query-based Summarization. CoRR (2020)
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. CoRR (2020)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Curriculum Learning by Dynamic Instance Hardness. NeurIPS (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR (2020)
Tianyi Zhou, Jiannan Kang, Fengyu Cong, Xiaoli Li
Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG. Neurocomputing 389 (2020)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR (2020)
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING (2020)
Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI (2020)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Time-Consistent Self-Supervision for Semi-Supervised Learning. ICML (2020)
Tianyi Zhou, Huan Li, Kuiwen Xu, Qinyi Lv, Tayeb A. Denidni
Experimental Investigation on Subwavelength Imaging With Temporal-Spatial Random Illuminations. IEEE Trans. Instrum. Meas. 69 (1) (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Learning to Propagate for Graph Meta-Learning. CoRR (2019)
Meng Fang, Tianyi Zhou, Jie Yin, Yang Wang, Dacheng Tao
Data Subset Selection With Imperfect Multiple Labels. IEEE Trans. Neural Networks Learn. Syst. 30 (7) (2019)
Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang
Curriculum-guided Hindsight Experience Replay. NeurIPS (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR (2019)
Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. ICML (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Learning to Propagate for Graph Meta-Learning. NeurIPS (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tianyi Zhou