Tianyi Zhou

307 papers A* 78A 8B 6Journal 179Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Knowledge-Guided Feature Fusion and Fuzzy Decision Integration Model for ECG-Based Cardiovascular Disease Diagnosis.
IEEE Trans. Fuzzy Syst.
Yuepeng Chen, Shangce Gao, Jiaru Yang, Tianyi Zhou, Fan Fu, Weiping Ding
2026 J jnl
A survey on feature selection techniques for biomedical data: Methods and applications.
Neurocomputing
Yuepeng Chen, Weiping Ding, Qichong Hua, Jiaru Yang, Tianyi Zhou, Fan Fu
2026 J jnl
FAMU-Net: A network method for segmentation of retinal blood vessels based on fuzzy axial attention and multi-scale feature fusion.
Neurocomputing
Zhe Zhou, Tianyi Zhou, Liwei Lyu, Fan Fu, Weiping Ding
2026 A* conf
FedMerge: Federated Model Merging for Personalization.
AAAI
Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2026 J jnl
History-Conditioned Spatio-Temporal Visual Token Pruning for Efficient Vision-Language Navigation.
CoRR
Qitong Wang, Yijun Liang, Ming Li, Tianyi Zhou, Christopher Rasmussen
2026 J jnl
One Model for All: Multi-Objective Controllable Language Models.
Trans. Mach. Learn. Res.
Qiang He, Yucheng Yang, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy, Setareh Maghsudi
2026 J jnl
Quantifying the Gap between Understanding and Generation within Unified Multimodal Models.
CoRR
Chenlong Wang, Yuhang Chen, Zhihan Hu, Dongping Chen, Wenhu Chen, Sarah Wiegreffe, Tianyi Zhou
2026 — conf
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.
EACL (Findings)
Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan
2026 J jnl
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models.
CoRR
Fangxu Yu, Xingang Guo, Lingzhi Yuan, Haoqiang Kang, Hongyu Zhao, Lianhui Qin, Furong Huang, Bin Hu, Tianyi Zhou
2026 J jnl
Uncertainty-aware multi-view evidence fusion for feature selection in brain network analysis.
Inf. Fusion
Yuepeng Chen, Weiping Ding, Shangce Gao, Jiaru Yang, Tianyi Zhou, Qichong Hua, Fan Fu
2026 J jnl
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems.
CoRR
Yuchen Wang, Jiangtao Kong, Sizhe Wei, Xiaochang Li, Haohong Lin, Hongjue Zhao, Tianyi Zhou, Lu Gan, Huajie Shao
2025 — conf
ATLAS: Agent Tuning via Learning Critical Steps.
ACL (Findings)
Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou
2025 J jnl
ATLaS: Agent Tuning via Learning Critical Steps.
CoRR
Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou
2025 J jnl
An Efficient Survival Prediction Framework Based on Multimodal Multi-Instance Fuzzy Optimal Transport.
IEEE Trans. Fuzzy Syst.
Hui Luo, Jiashuang Huang, Tianyi Zhou, Erlv Wu, Weiping Ding
2025 J jnl
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.
CoRR
Jiuhai Chen, Zhiyang Xu, Xichen Pan, Yushi Hu, Can Qin, Tom Goldstein, Lifu Huang, Tianyi Zhou, Saining Xie, Silvio Savarese, Le Xue, Caiming Xiong, Ran Xu
2025 J jnl
BLIP3o-NEXT: Next Frontier of Native Image Generation.
CoRR
Jiuhai Chen, Le Xue, Zhiyang Xu, Xichen Pan, Shusheng Yang, Can Qin, An Yan, Honglu Zhou, Zeyuan Chen, Lifu Huang, Tianyi Zhou, Junnan Li, Silvio Savarese, Caiming Xiong, Ran Xu
2025 A* conf
BenTo: Benchmark Reduction with In-Context Transferability.
ICLR
Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou
2025 J jnl
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing.
CoRR
Zhongyang Li, Ziyue Li, Tianyi Zhou
2025 J jnl
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning.
CoRR
Ming Li, Chenguang Wang, Yijun Liang, Xiyao Wang, Yuhang Zhou, Xiyang Wu, Yuqing Zhang, Ruiyi Zhang, Tianyi Zhou
2025 J jnl
ChartAB: A Benchmark for Chart Grounding & Dense Alignment.
CoRR
Aniruddh Bansal, Davit Soselia, Dang Nguyen, Tianyi Zhou
2025 J jnl
CoSTA∗: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing.
CoRR
Advait Gupta, NandaKiran Velaga, Dang Nguyen, Tianyi Zhou
2025 J jnl
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness.
CoRR
Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou
2025 A conf
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation.
IROS
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Tianyi Zhou, Dinesh Manocha, Amrit Singh Bedi
2025 A* conf
DataGen: Unified Synthetic Dataset Generation via Large Language Models.
ICLR
Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang
2025 J jnl
Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models.
CoRR
Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh
2025 J jnl
ECG Adaptive Synthesis With Multigranular Fuzzy EASNN: Enhancing Wearable Cardiac Monitoring.
IEEE Trans. Fuzzy Syst.
Fan Fu, Jiamin Liu, Bosheng He, Weiguan Chen, Tianyi Zhou, Jiajia Zhai, Jiyang Lu, Hongjian Lu, Weiping Ding
2025 J jnl
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.
CoRR
Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao
2025 — conf
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
NAACL (Findings)
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao
2025 J jnl
Exploring Expert Failures Improves LLM Agent Tuning.
CoRR
Li-Cheng Lan, Andrew Bai, Minhao Cheng, Cho-Jui Hsieh, Tianyi Zhou
2025 J jnl
F2CAU-Net: A dual fuzzy medical image segmentation cascade method based on fuzzy feature learning.
Appl. Soft Comput.
Tianyi Zhou, Haipeng Wang, Sheng Geng, Hengrong Ju, Jiashuang Huang, Fan Fu, Weiping Ding
2025 J jnl
FCAformer: Fuzzy-Enhanced Class-Aware Attention Based Transformer for Weakly Supervised Histopathology Image Segmentation.
IEEE Trans. Fuzzy Syst.
Xiaotian Cheng, Weiping Ding, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Jing Guo, Witold Pedrycz
2025 J jnl
FaSTA
CoRR
Advait Gupta, Rishie Raj, Dang Nguyen, Tianyi Zhou
2025 J jnl
FedMerge: Federated Personalization via Model Merging.
CoRR
Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2025 J jnl
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach.
CoRR
Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye, Jing Jiang
2025 A* conf
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion.
CVPR
Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao
2025 — conf
From Lists to Emojis: How Format Bias Affects Model Alignment.
ACL (1)
Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang
2025 — conf
GUI Agents: A Survey.
ACL (Findings)
Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2025 A conf
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era.
CIKM
Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu
2025 J jnl
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era.
CoRR
Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu
2025 J jnl
GraphicBench: A Planning Benchmark for Graphic Design with Language Agents.
CoRR
Dayeon Ki, Tianyi Zhou, Marine Carpuat, Gang Wu, Puneet Mathur, Viswanathan (Vishy) Swaminathan
2025 J jnl
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients.
CoRR
Ming Li, Yanhong Li, Ziyue Li, Tianyi Zhou
2025 A* conf
Is Your Multimodal Language Model Oversensitive to Safe Queries?
ICLR
Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
2025 A* conf
Many-Objective Multi-Solution Transport.
ICLR
Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou
2025 J jnl
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
CoRR
Chenrui Fan, Ming Li, Lichao Sun, Tianyi Zhou
2025 J jnl
Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining.
CoRR
Chenxi Liu, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Tianyi Zhou, Heng Huang
2025 — conf
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning.
ACL (Findings)
Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2025 J jnl
Multigranularity Fuzzy Autoencoder for Discriminative Feature Selection in High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst.
Yuepeng Chen, Weiping Ding, Jiashuang Huang, Wei Zhang, Tianyi Zhou
2025 — conf
Multiple LLM Agents Debate for Equitable Cultural Alignment.
ACL (1)
Dayeon Ki, Rachel Rudinger, Tianyi Zhou, Marine Carpuat
2025 J jnl
Multiple LLM Agents Debate for Equitable Cultural Alignment.
CoRR
Dayeon Ki, Rachel Rudinger, Tianyi Zhou, Marine Carpuat
2025 A* conf
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities.
ICLR
Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
Optimizing Length Compression in Large Reasoning Models.
CoRR
Zhengxiang Cheng, Dongping Chen, Mingyang Fu, Tianyi Zhou
2025 A* conf
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach.
AAAI
Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2025 J jnl
Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation.
CoRR
Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin, Xichen Pan, Lifu Huang, Tianyi Zhou, Madian Khabsa, Qifan Wang, Di Jin, Michihiro Yasunaga, Lili Yu, Xi Victoria Lin, Shaoliang Nie
2025 A* conf
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization.
ICML
Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang
2025 J jnl
Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification.
Appl. Soft Comput.
Tao Hou, Weiping Ding, Jiashuang Huang, Shu Jiang, Hongcheng Yao, Tianyi Zhou, Hengrong Ju
2025 A conf
Quantifying and Modeling Driving Styles in Trajectory Forecasting.
IROS
Laura Zheng, HamidReza Yaghoubi Araghi, Tony Wu, Sandeep Thalapanane, Tianyi Zhou, Ming C. Lin
2025 J jnl
Quantifying and Modeling Driving Styles in Trajectory Forecasting.
CoRR
Laura Zheng, HamidReza Yaghoubi Araghi, Tony Wu, Sandeep Thalapanane, Tianyi Zhou, Ming C. Lin
2025 J jnl
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.
CoRR
Hengguang Zhou, Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
2025 A* conf
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts.
ICML
Zhongyang Li, Ziyue Li, Tianyi Zhou
2025 J jnl
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts.
CoRR
Zhongyang Li, Ziyue Li, Tianyi Zhou
2025 — conf
RuleR: Improving LLM Controllability by Rule-based Data Recycling.
NAACL (Short Papers)
Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou
2025 J jnl
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.
CoRR
Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan
2025 J jnl
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning.
CoRR
Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2025 A* conf
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise.
ICLR
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
2025 A* conf
Tilted Sharpness-Aware Minimization.
ICML
Tian Li, Tianyi Zhou, Jeff A. Bilmes
2025 J jnl
Towards Visual Text Grounding of Multimodal Large Language Model.
CoRR
Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun
2025 J jnl
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions.
CoRR
Chenrui Fan, Yijun Liang, Shweta Bhardwaj, Kwesi Cobbina, Ming Li, Tianyi Zhou
2025 J jnl
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding.
CoRR
Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Lee Boyd-Graber
2025 J jnl
VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding.
CoRR
Jian Chen, Ming Li, Jihyung Kil, Chenguang Wang, Tong Yu, Ryan A. Rossi, Tianyi Zhou, Changyou Chen, Ruiyi Zhang
2025 J jnl
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents.
CoRR
Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2025 — conf
Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency.
EMNLP (Findings)
Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou
2025 J jnl
Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency.
CoRR
Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou
2025 J jnl
Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test.
CoRR
Ziyue Li, Chenrui Fan, Tianyi Zhou
2025 J jnl
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning.
CoRR
Kwesi Cobbina, Tianyi Zhou
2025 J jnl
YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning.
Trans. Mach. Learn. Res.
Jiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie Shao
2025 A* conf
Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free.
ICLR
Ziyue Li, Tianyi Zhou
2024 J jnl
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
CoRR
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024 A* conf
1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
EMNLP
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024 J jnl
A Survey on Knowledge Distillation of Large Language Models.
CoRR
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou
2024 J jnl
A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels.
IEEE Trans. Pattern Anal. Mach. Intell.
Songhua Wu, Tianyi Zhou, Yuxuan Du, Jun Yu, Bo Han, Tongliang Liu
2024 J jnl
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.
CoRR
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
2024 A* conf
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.
ICLR
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2024 J jnl
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.
CoRR
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2024 A* conf
Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models.
ICML
Jan van den Brand, Zhao Song, Tianyi Zhou
2024 A* conf
AlpaGasus: Training a Better Alpaca with Fewer Data.
ICLR
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2024 — conf
An End-to-End Submodular Framework for Data-Efficient In-Context Learning.
NAACL-HLT (Findings)
Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes
2024 — conf
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.
EMNLP (Findings)
Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha
2024 A conf
Automatic Curriculum for Unsupervised Reinforcement Learning.
AAMAS
Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy
2024 J jnl
BenTo: Benchmark Task Reduction with In-Context Transferability.
CoRR
Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou
2024 — conf
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.
ACL (Findings)
Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou
2024 J jnl
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.
CoRR
Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou
2024 J jnl
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native.
CoRR
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
2024 — conf
Corpus-Steered Query Expansion with Large Language Models.
EACL (2)
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
2024 J jnl
Corpus-Steered Query Expansion with Large Language Models.
CoRR
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
2024 J jnl
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion.
CoRR
Yijun Liang, Shweta Bhardwaj, Tianyi Zhou
2024 — conf
Do Text-Free Diffusion Models Learn Discriminative Visual Representations?
ECCV (60)
Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava
2024 A* conf
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.
EMNLP
Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber
2024 J jnl
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.
CoRR
Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber
2024 J jnl
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers.
CoRR
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
2024 — conf
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers.
EMNLP (Findings)
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
2024 J jnl
DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR
Dang Nguyen, Viet Dac Lai, Seunghyun Yoon, Ryan A. Rossi, Handong Zhao, Ruiyi Zhang, Puneet Mathur, Nedim Lipka, Yu Wang, Trung Bui, Franck Dernoncourt, Tianyi Zhou
2024 A* conf
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization.
NeurIPS
Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Animashree Anandkumar, Furong Huang
2024 J jnl
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization.
CoRR
Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang
2024 A* conf
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.
CVPR
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
2024 J jnl
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
CoRR
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
2024 J jnl
FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.
Inf. Fusion
Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou
2024 J jnl
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.
CoRR
Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou
2024 J jnl
FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification.
IEEE Trans. Fuzzy Syst.
Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin
2024 J jnl
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification.
CoRR
Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin
2024 J jnl
False Correlation Reduction for Offline Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
2024 A* conf
Federated Recommendation with Additive Personalization.
ICLR
Zhiwei Li, Guodong Long, Tianyi Zhou
2024 J jnl
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion.
CoRR
Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao
2024 J jnl
From Lists to Emojis: How Format Bias Affects Model Alignment.
CoRR
Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang
2024 — conf
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
NAACL-HLT
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
2024 A* conf
GPFedRec: Graph-Guided Personalization for Federated Recommendation.
KDD
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024 J jnl
GUI Agents: A Survey.
CoRR
Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2024 J jnl
GenQA: Generating Millions of Instructions from a Handful of Prompts.
CoRR
Jiuhai Chen, Rifaa Qadri, Yuxin Wen, Neel Jain, John Kirchenbauer, Tianyi Zhou, Tom Goldstein
2024 A* conf
Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.
CVPR
Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2024 J jnl
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning.
CoRR
Jiangtao Kong, Jiacheng Shi, Ashley Gao, Shaohan Hu, Tianyi Zhou, Huajie Shao
2024 A* conf
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models.
ICML
Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
2024 J jnl
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction.
CoRR
Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding
2024 J jnl
MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?
CoRR
Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
2024 J jnl
Many-Objective Multi-Solution Transport.
CoRR
Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou
2024 J jnl
Meta-Task Prompting Elicits Embedding from Large Language Models.
CoRR
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
2024 — conf
Meta-Task Prompting Elicits Embeddings from Large Language Models.
ACL (1)
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
2024 J jnl
Mosaic IT: Enhancing Instruction Tuning with Data Mosaics.
CoRR
Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2024 J jnl
MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion.
CoRR
Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou
2024 J jnl
Multi-Level Additive Modeling for Structured Non-IID Federated Learning.
CoRR
Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang
2024 — conf
Multi-Objective Linguistic Control of Large Language Models.
ACL (Findings)
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
2024 J jnl
Multi-Objective Linguistic Control of Large Language Models.
CoRR
Dang Nguyen, Jiuhai Chen, Tianyi Zhou
2024 A* conf
ODIN: Disentangled Reward Mitigates Hacking in RLHF.
ICML
Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
2024 J jnl
ODIN: Disentangled Reward Mitigates Hacking in RLHF.
CoRR
Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
2024 J jnl
OPTune: Efficient Online Preference Tuning.
CoRR
Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang
2024 J jnl
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities.
CoRR
Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong
2024 A* conf
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts.
ICML
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
2024 J jnl
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts.
CoRR
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
2024 J jnl
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach.
CoRR
Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
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 C. 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, Yong Chen, Yue Zhao
2024 — conf
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever.
ACL (Findings)
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang
2024 J jnl
Reweighting Local Mimina with Tilted SAM.
CoRR
Tian Li, Tianyi Zhou, Jeffrey A. Bilmes
2024 J jnl
RuleR: Improving LLM Controllability by Rule-based Data Recycling.
CoRR
Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou
2024 — conf
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning.
ACL (Findings)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
2024 J jnl
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning.
CoRR
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
2024 A* conf
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding.
EMNLP
Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun
2024 J jnl
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding.
CoRR
Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun
2024 — conf
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.
ACL (1)
Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
2024 J jnl
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.
CoRR
Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou
2024 A* conf
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning.
ICLR
Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2024 A* conf
Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering.
ICRA
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
2024 A* conf
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.
NeurIPS
Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
2024 J jnl
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise.
CoRR
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
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, 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 C. 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
2024 — conf
Understanding the Impact of Negative Prompts: When and How Do They Take Effect?
ECCV (89)
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
2024 J jnl
Understanding the Impact of Negative Prompts: When and How Do They Take Effect?
CoRR
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
2024 J jnl
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models.
CoRR
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
2024 J jnl
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents.
CoRR
Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2024 J jnl
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective.
CoRR
Ming Li, Yanhong Li, Tianyi Zhou
2024 A* conf
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.
WWW
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024 J jnl
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free.
CoRR
Ziyue Li, Tianyi Zhou
2023 — conf
Aerial Diffusion: Text Guided Ground-to-Aerial View Synthesis from a Single Image using Diffusion Models.
SIGGRAPH Asia Technical Communications
Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha
2023 J jnl
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models.
CoRR
Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha
2023 J jnl
AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image.
CoRR
Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha
2023 J jnl
AlpaGasus: Training A Better Alpaca with Fewer Data.
CoRR
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2023 J jnl
Condensed Prototype Replay for Class Incremental Learning.
CoRR
Jiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie Shao
2023 A* conf
Continual Task Allocation in Meta-Policy Network via Sparse Prompting.
ICML
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
2023 J jnl
Continual Task Allocation in Meta-Policy Network via Sparse Prompting.
CoRR
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
2023 — —
Curriculum Learning: from Human Strategies to Learning Dynamics
Tianyi Zhou
2023 J jnl
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution.
CoRR
Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
2023 J jnl
Diffusion Models Beat GANs on Image Classification.
CoRR
Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava
2023 J jnl
Do text-free diffusion models learn discriminative visual representations?
CoRR
Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava
2023 A* conf
Does Continual Learning Equally Forget All Parameters?
ICML
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023 J jnl
Does Continual Learning Equally Forget All Parameters?
CoRR
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023 A* conf
Dual Personalization on Federated Recommendation.
IJCAI
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023 J jnl
Dual Personalization on Federated Recommendation.
CoRR
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023 — conf
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.
ECML/PKDD (4)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2023 J jnl
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.
CoRR
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2023 J jnl
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.
CoRR
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
2023 J jnl
Federated Recommendation with Additive Personalization.
CoRR
Zhiwei Li, Guodong Long, Tianyi Zhou
2023 J jnl
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
CoRR
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
2023 J jnl
Good Questions Help Zero-Shot Image Reasoning.
CoRR
Kaiwen Yang, Tao Shen, Xinmei Tian, Xiubo Geng, Chongyang Tao, Dacheng Tao, Tianyi Zhou
2023 J jnl
Graph-guided Personalization for Federated Recommendation.
CoRR
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
2023 A* conf
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
NeurIPS
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
2023 J jnl
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
Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2023 — conf
How Many Demonstrations Do You Need for In-context Learning?
EMNLP (Findings)
Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou
2023 J jnl
IFedRec: Item-Guided Federated Aggregation for Cold-Start.
CoRR
Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
2023 J jnl
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models.
CoRR
Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
2023 J jnl
It Takes One to Tango but More Make Trouble? The Number of Demonstrations Needed for In-Context Learning.
CoRR
Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou
2023 J jnl
Large Language Models are Strong Zero-Shot Retriever.
CoRR
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang
2023 J jnl
MerA: Merging Pretrained Adapters For Few-Shot Learning.
CoRR
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023 A* conf
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.
EMNLP
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023 J jnl
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.
CoRR
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023 J jnl
Multi-center federated learning: clients clustering for better personalization.
World Wide Web (WWW)
Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
2023 J jnl
NLPBench: Evaluating Large Language Models on Solving NLP Problems.
CoRR
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
2023 J jnl
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning.
CoRR
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou
2023 J jnl
Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation.
CoRR
Davit Soselia, Khalid Saifullah, Tianyi Zhou
2023 J jnl
Spatial-temporal Prompt Learning for Federated Weather Forecasting.
CoRR
Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang
2023 A* conf
Structured Cooperative Learning with Graphical Model Priors.
ICML
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
2023 J jnl
Structured Cooperative Learning with Graphical Model Priors.
CoRR
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
2023 A* conf
Structured Federated Learning through Clustered Additive Modeling.
NeurIPS
Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023 A* conf
Subclass-balancing Contrastive Learning for Long-tailed Recognition.
ICCV
Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
2023 J jnl
Subclass-balancing Contrastive Learning for Long-tailed Recognition.
CoRR
Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou
2023 J jnl
Taming Small-sample Bias in Low-budget Active Learning.
CoRR
Linxin Song, Jieyu Zhang, Xiaotian Lu, Tianyi Zhou
2023 — conf
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks.
ECML/PKDD (2)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023 J jnl
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks.
CoRR
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023 J jnl
When do you need Chain-of-Thought Prompting for ChatGPT?
CoRR
Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou
2023 A* conf
When to Learn What: Model-Adaptive Data Augmentation Curriculum.
ICCV
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
2023 J jnl
When to Learn What: Model-Adaptive Data Augmentation Curriculum.
CoRR
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
2022 A* conf
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.
NeurIPS
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
2022 J jnl
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.
CoRR
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
2022 A* conf
Diverse Client Selection for Federated Learning via Submodular Maximization.
ICLR
Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes
2022 A* conf
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.
ICML
Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
2022 J jnl
Extracting Local Reasoning Chains of Deep Neural Networks.
Trans. Mach. Learn. Res.
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022 J jnl
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels.
CoRR
Zhuowei Wang, Tianyi Zhou, Guodong Long, Bo Han, Jing Jiang
2022 A* conf
FedProto: Federated Prototype Learning across Heterogeneous Clients.
AAAI
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
2022 A* conf
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach.
NeurIPS
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
2022 J jnl
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach.
CoRR
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
2022 A* conf
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning.
ICML
Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao
2022 A* conf
Learning to Collaborate in Decentralized Learning of Personalized Models.
CVPR
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
2022 J jnl
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy.
IEEE Trans. Knowl. Data Eng.
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022 A* conf
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification.
ICLR
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
2022 J jnl
On the Convergence of Clustered Federated Learning.
CoRR
Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2022 A* conf
Pareto Policy Pool for Model-based Offline Reinforcement Learning.
ICLR
Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi
2022 J jnl
Personalized Federated Learning With Structure.
CoRR
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2022 A* conf
Personalized Federated Learning With a Graph.
IJCAI
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2022 — conf
Phrase-level Textual Adversarial Attack with Label Preservation.
NAACL-HLT (Findings)
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
2022 J jnl
Phrase-level Textual Adversarial Attack with Label Preservation.
CoRR
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
2022 A* conf
Retrospective Adversarial Replay for Continual Learning.
NeurIPS
Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2022 A* conf
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
EMNLP
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
2022 J jnl
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
CoRR
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
2022 — conf
Token Dropping for Efficient BERT Pretraining.
ACL (1)
Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2022 J jnl
Token Dropping for Efficient BERT Pretraining.
CoRR
Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2021 A* conf
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly.
ICLR
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
2021 J jnl
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly.
CoRR
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
2021 A* conf
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum.
NeurIPS
Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2021 A* conf
Class-Disentanglement and Applications in Adversarial Detection and Defense.
NeurIPS
Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao
2021 A* conf
Constrained Robust Submodular Partitioning.
NeurIPS
Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes
2021 A conf
Curriculum Learning by Optimizing Learning Dynamics.
AISTATS
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2021 — conf
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
EMNLP (Findings)
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021 J jnl
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
CoRR
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021 J jnl
FedProto: Federated Prototype Learning over Heterogeneous Devices.
CoRR
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang
2021 A* conf
Isometric Propagation Network for Generalized Zero-shot Learning.
ICLR
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021 J jnl
Isometric Propagation Network for Generalized Zero-shot Learning.
CoRR
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021 A* conf
Robust Curriculum Learning: from clean label detection to noisy label self-correction.
ICLR
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2021 A* conf
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
WWW
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
2020 A* conf
Attribute Propagation Network for Graph Zero-Shot Learning.
AAAI
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020 J jnl
Attribute Propagation Network for Graph Zero-shot Learning.
CoRR
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020 J jnl
Conditional Self-Attention for Query-based Summarization.
CoRR
Yujia Xie, Tianyi Zhou, Yi Mao, Weizhu Chen
2020 A* conf
Curriculum Learning by Dynamic Instance Hardness.
NeurIPS
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2020 B conf
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.
COLING
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020 J jnl
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.
CoRR
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020 J jnl
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy.
CoRR
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020 J jnl
Multi-Center Federated Learning.
CoRR
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
2020 J jnl
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.
CoRR
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein
2020 A* conf
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.
AAAI
Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2020 J jnl
Semantic Triple Encoder for Fast Open-Set Link Prediction.
CoRR
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2020 A* conf
Time-Consistent Self-Supervision for Semi-Supervised Learning.
ICML
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2019 A* conf
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation.
ICML
Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2019 A* conf
Curriculum-guided Hindsight Experience Replay.
NeurIPS
Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang
2019 J jnl
Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst.
Meng Fang, Tianyi Zhou, Jie Yin, Yang Wang, Dacheng Tao
2019 A* conf
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs.
ICML
Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2019 A* conf
Learning to Propagate for Graph Meta-Learning.
NeurIPS
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019 J jnl
Learning to Propagate for Graph Meta-Learning.
CoRR
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019 A* conf
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.
IJCAI
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019 J jnl
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.
CoRR
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019 J jnl
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.
CoRR
Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2019 — conf
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.
NAACL-HLT (1)
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018 — conf
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.
ICLR (Poster)
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018 J jnl
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.
CoRR
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018 A* conf
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.
AAAI
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2018 A* conf
Diverse Ensemble Evolution: Curriculum Data-Model Marriage.
NeurIPS
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2018 J jnl
Fast Directional Self-Attention Mechanism.
CoRR
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018 — conf
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity.
ICLR (Poster)
Tianyi Zhou, Jeff A. Bilmes
2018 A* conf
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
IJCAI
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2018 J jnl
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
CoRR
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2017 J jnl
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding.
CoRR
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2017 A conf
Scaling Submodular Maximization via Pruned Submodularity Graphs.
AISTATS
Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
2016 J jnl
Scaling Submodular Maximization via Pruned Submodularity Graphs.
CoRR
Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin
2016 J jnl
Stream Clipper: Scalable Submodular Maximization on Stream.
CoRR
Tianyi Zhou, Jeff A. Bilmes
2015 J jnl
Efficient Robust Conditional Random Fields.
IEEE Trans. Image Process.
Dongjin Song, Wei Liu, Tianyi Zhou, Dacheng Tao, David A. Meyer
2014 — conf
Divide-and-Conquer Learning by Anchoring a Conical Hull.
NIPS
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
2014 J jnl
Divide-and-Conquer Learning by Anchoring a Conical Hull.
CoRR
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
2014 J jnl
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Wei Bian, Tianyi Zhou, Aleix M. Martínez, George Baciu, Dacheng Tao
2014 A* conf
Multi-task copula by sparse graph regression.
KDD
Tianyi Zhou, Dacheng Tao
2013 — —
Compressed learning
Tianyi Zhou
2013 A* conf
Constrained stochastic gradient descent for large-scale least squares problem.
KDD
Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao
2013 A* conf
Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions.
ICDM
Tianyi Zhou, Wei Bian, Dacheng Tao
2013 J jnl
Double Shrinking Sparse Dimension Reduction.
IEEE Trans. Image Process.
Tianyi Zhou, Dacheng Tao
2013 A conf
Greedy Bilateral Sketch, Completion & Smoothing.
AISTATS
Tianyi Zhou, Dacheng Tao
2013 A* conf
Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation.
IJCAI
Tianyi Zhou, Dacheng Tao
2013 J jnl
Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition.
CoRR
Tianyi Zhou, Dacheng Tao
2013 B conf
k-bit Hamming compressed sensing.
ISIT
Tianyi Zhou, Dacheng Tao
2012 B conf
1-bit Hamming compressed sensing.
ISIT
Tianyi Zhou, Dacheng Tao
2012 B conf
Bilateral random projections.
ISIT
Tianyi Zhou, Dacheng Tao
2012 J jnl
Compressed labeling on distilled labelsets for multi-label learning.
Mach. Learn.
Tianyi Zhou, Dacheng Tao, Xindong Wu
2012 B conf
Labelset anchored subspace ensemble (LASE) for multi-label annotation.
ICMR
Tianyi Zhou, Dacheng Tao
2012 A conf
Multi-label Subspace Ensemble.
AISTATS
Tianyi Zhou, Dacheng Tao
2011 J jnl
Bilateral Random Projections
CoRR
Tianyi Zhou, Dacheng Tao
2011 A* conf
GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case.
ICML
Tianyi Zhou, Dacheng Tao
2011 J jnl
Hamming Compressed Sensing
CoRR
Tianyi Zhou, Dacheng Tao
2011 J jnl
Manifold elastic net: a unified framework for sparse dimension reduction.
Data Min. Knowl. Discov.
Tianyi Zhou, Dacheng Tao, Xindong Wu
2011 J jnl
Multi-label Learning via Structured Decomposition and Group Sparsity
CoRR
Tianyi Zhou, Dacheng Tao
2010 — conf
Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization.
ICONIP (1)
Tianyi Zhou, Dacheng Tao
2010 J jnl
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
CoRR
Tianyi Zhou, Dacheng Tao, Xindong Wu
2010 A* conf
NESVM: A Fast Gradient Method for Support Vector Machines.
ICDM
Tianyi Zhou, Dacheng Tao, Xindong Wu
2010 J jnl
NESVM: a Fast Gradient Method for Support Vector Machines
CoRR
Tianyi Zhou, Dacheng Tao, Xindong Wu
2009 B conf
Manifold Elastic Net for Sparse Learning.
SMC
Tianyi Zhou, Dacheng Tao