Manifold Elastic Net for Sparse Learning. - Tianyi Zhou 001; Dacheng Tao (SMC, 2009)

NESVM: A Fast Gradient Method for Support Vector Machines. - Tianyi Zhou 001; Dacheng Tao; Xindong Wu 001 (ICDM, 2010)

Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization. - Tianyi Zhou 001; Dacheng Tao (ICONIP (1), 2010)

GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case. - Tianyi Zhou 001; Dacheng Tao (ICML, 2011)

Multi-label Learning via Structured Decomposition and Group Sparsity - Tianyi Zhou 001; Dacheng Tao (CoRR, 2011)

Hamming Compressed Sensing - Tianyi Zhou 001; Dacheng Tao (CoRR, 2011)

Manifold elastic net: a unified framework for sparse dimension reduction. - Tianyi Zhou 001; Dacheng Tao; Xindong Wu 001 (Data Min. Knowl. Discov., 2011)

Bilateral random projections. - Tianyi Zhou 001; Dacheng Tao (ISIT, 2012)

1-bit Hamming compressed sensing. - Tianyi Zhou 001; Dacheng Tao (ISIT, 2012)

Labelset anchored subspace ensemble (LASE) for multi-label annotation. - Tianyi Zhou 001; Dacheng Tao (ICMR, 2012)

Multi-label Subspace Ensemble. - Tianyi Zhou 001; Dacheng Tao (AISTATS, 2012)

Compressed labeling on distilled labelsets for multi-label learning. - Tianyi Zhou 001; Dacheng Tao; Xindong Wu 001 (Mach. Learn., 2012)

Greedy Bilateral Sketch, Completion & Smoothing. - Tianyi Zhou 001; Dacheng Tao (AISTATS, 2013)

Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions. - Tianyi Zhou 001; Wei Bian; Dacheng Tao (ICDM, 2013)

Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation. - Tianyi Zhou 001; Dacheng Tao (IJCAI, 2013)

k-bit Hamming compressed sensing. - Tianyi Zhou 001; Dacheng Tao (ISIT, 2013)

Constrained stochastic gradient descent for large-scale least squares problem. - Yang Mu; Wei Ding 003; Tianyi Zhou 001; Dacheng Tao (KDD, 2013)

Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition. - Tianyi Zhou 001; Dacheng Tao (CoRR, 2013)

Double Shrinking Sparse Dimension Reduction. - Tianyi Zhou 001; Dacheng Tao (IEEE Trans. Image Process., 2013)

Compressed learning - Tianyi Zhou 001 (2013)

Multi-task copula by sparse graph regression. - Tianyi Zhou 001; Dacheng Tao (KDD, 2014)

Divide-and-Conquer Learning by Anchoring a Conical Hull. - Tianyi Zhou 001; Jeff A. Bilmes; Carlos Guestrin (NIPS, 2014)

Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction. - Wei Bian; Tianyi Zhou 001; Aleix M. Martínez; George Baciu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2014)

Efficient Robust Conditional Random Fields. - Dongjin Song; Wei Liu 005; Tianyi Zhou 001; Dacheng Tao; David A. Meyer 001 (IEEE Trans. Image Process., 2015)

Stream Clipper: Scalable Submodular Maximization on Stream. - Tianyi Zhou 001; Jeff A. Bilmes (CoRR, 2016)

Scaling Submodular Maximization via Pruned Submodularity Graphs. - Tianyi Zhou 001; Hua Ouyang; Jeff A. Bilmes; Yi Chang 001; Carlos Guestrin (AISTATS, 2017)

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Shirui Pan; Chengqi Zhang (AAAI, 2018)

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (ICLR (Poster), 2018)

Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity. - Tianyi Zhou 001; Jeff A. Bilmes (ICLR (Poster), 2018)

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Sen Wang 001; Chengqi Zhang (IJCAI, 2018)

Diverse Ensemble Evolution: Curriculum Data-Model Marriage. - Tianyi Zhou 001; Shengjie Wang; Jeff A. Bilmes (NeurIPS, 2018)

Fast Directional Self-Attention Mechanism. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (CoRR, 2018)

Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. - Shengjie Wang; Tianyi Zhou 001; Jeff A. Bilmes (ICML, 2019)

Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. - Shengjie Wang; Tianyi Zhou 001; Jeff A. Bilmes (ICML, 2019)

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (IJCAI, 2019)

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NAACL-HLT (1), 2019)

Curriculum-guided Hindsight Experience Replay. - Meng Fang; Tianyi Zhou 001; Yali Du 001; Lei Han 001; Zhengyou Zhang (NeurIPS, 2019)

Learning to Propagate for Graph Meta-Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2019)

Data Subset Selection With Imperfect Multiple Labels. - Meng Fang; Tianyi Zhou 001; Jie Yin 001; Yang Wang 023; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2019)

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. - Yang Li 154; Guodong Long; Tao Shen 001; Tianyi Zhou 001; Lina Yao 001; Huan Huo; Jing Jiang 002 (AAAI, 2020)

Attribute Propagation Network for Graph Zero-Shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (AAAI, 2020)

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. - Yang Li 154; Tao Shen 001; Guodong Long; Jing Jiang 002; Tianyi Zhou 001; Chengqi Zhang (COLING, 2020)

Time-Consistent Self-Supervision for Semi-Supervised Learning. - Tianyi Zhou 001; Shengjie Wang; Jeff A. Bilmes (ICML, 2020)

Curriculum Learning by Dynamic Instance Hardness. - Tianyi Zhou 001; Shengjie Wang; Jeff A. Bilmes (NeurIPS, 2020)

Conditional Self-Attention for Query-based Summarization. - Yujia Xie; Tianyi Zhou 001; Yi Mao; Weizhu Chen (CoRR, 2020)

Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. - Wensi Tang; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Jing Jiang 002; Michael Blumenstein (CoRR, 2020)

Semantic Triple Encoder for Fast Open-Set Link Prediction. - Bo Wang 069; Tao Shen 001; Guodong Long; Tianyi Zhou 001; Yi Chang 001 (CoRR, 2020)

Multi-Center Federated Learning. - Ming Xie; Guodong Long; Tao Shen 001; Tianyi Zhou 001; Xianzhi Wang 001; Jing Jiang 002 (CoRR, 2020)

Curriculum Learning by Optimizing Learning Dynamics. - Tianyi Zhou 001; Shengjie Wang; Jeff A. Bilmes (AISTATS, 2021)

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. - Bo Wang 069; Tao Shen 001; Guodong Long; Tianyi Zhou 001; Yi Chang 001 (EMNLP (Findings), 2021)

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. - Yuchen Jin; Tianyi Zhou 001; Liangyu Zhao; Yibo Zhu; Chuanxiong Guo; Marco Canini; Arvind Krishnamurthy (ICLR, 2021)

Isometric Propagation Network for Generalized Zero-shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Xuanyi Dong; Chengqi Zhang (ICLR, 2021)

Robust Curriculum Learning: from clean label detection to noisy label self-correction. - Tianyi Zhou 001; Shengjie Wang; Jeff A. Bilmes (ICLR, 2021)

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. - Shuang Ao; Tianyi Zhou 001; Guodong Long; Qinghua Lu 001; Liming Zhu 001; Jing Jiang 002 (NeurIPS, 2021)

Constrained Robust Submodular Partitioning. - Shengjie Wang; Tianyi Zhou 001; Chandrashekhar Lavania; Jeff A. Bilmes (NeurIPS, 2021)

Class-Disentanglement and Applications in Adversarial Detection and Defense. - Kaiwen Yang; Tianyi Zhou 001; Yonggang Zhang 003; Xinmei Tian 001; Dacheng Tao (NeurIPS, 2021)

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. - Bo Wang 069; Tao Shen 001; Guodong Long; Tianyi Zhou 001; Ying Wang 009; Yi Chang 001 (WWW, 2021)

FedProto: Federated Prototype Learning over Heterogeneous Devices. - Yue Tan; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2021)

FedProto: Federated Prototype Learning across Heterogeneous Clients. - Yue Tan; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Qinghua Lu 001; Jing Jiang 002; Chengqi Zhang (AAAI, 2022)

Token Dropping for Efficient BERT Pretraining. - Le Hou; Richard Yuanzhe Pang; Tianyi Zhou 001; Yuexin Wu; Xinying Song; Xiaodan Song; Denny Zhou (ACL (1), 2022)

Learning to Collaborate in Decentralized Learning of Personalized Models. - Shuangtong Li; Tianyi Zhou 001; Xinmei Tian 001; Dacheng Tao (CVPR, 2022)

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. - Yu Cao 014; Dianqi Li; Meng Fang; Tianyi Zhou 001; Jun Gao; Yibing Zhan; Dacheng Tao (EMNLP, 2022)

Diverse Client Selection for Federated Learning via Submodular Maximization. - Ravikumar Balakrishnan; Tian Li 005; Tianyi Zhou 001; Nageen Himayat; Virginia Smith; Jeff A. Bilmes (ICLR, 2022)

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. - Wensi Tang; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Michael Blumenstein; Jing Jiang 002 (ICLR, 2022)

Pareto Policy Pool for Model-based Offline Reinforcement Learning. - Yijun Yang; Jing Jiang 002; Tianyi Zhou 001; Jie Ma; Yuhui Shi 001 (ICLR, 2022)

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. - Shuang Ao; Tianyi Zhou 001; Jing Jiang 002; Guodong Long; Xuan Song 001; Chengqi Zhang (ICML, 2022)

Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. - Kaiwen Yang; Tianyi Zhou 001; Xinmei Tian 001; Dacheng Tao (ICML, 2022)

Personalized Federated Learning With a Graph. - Fengwen Chen; Guodong Long; Zonghan Wu; Tianyi Zhou 001; Jing Jiang 002 (IJCAI, 2022)

Phrase-level Textual Adversarial Attack with Label Preservation. - Yibin Lei; Yu Cao 014; Dianqi Li; Tianyi Zhou 001; Meng Fang; Mykola Pechenizkiy (NAACL-HLT (Findings), 2022)

Retrospective Adversarial Replay for Continual Learning. - Lilly Kumari; Shengjie Wang; Tianyi Zhou 001; Jeff A. Bilmes (NeurIPS, 2022)

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. - Yue Tan; Guodong Long; Jie Ma; Lu Liu 019; Tianyi Zhou 001; Jing Jiang 002 (NeurIPS, 2022)

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. - Kaiwen Yang; Yanchao Sun; Jiahao Su; Fengxiang He; Xinmei Tian 001; Furong Huang; Tianyi Zhou 001; Dacheng Tao (NeurIPS, 2022)

On the Convergence of Clustered Federated Learning. - Jie Ma; Guodong Long; Tianyi Zhou 001; Jing Jiang 002; Chengqi Zhang (CoRR, 2022)

Personalized Federated Learning With Structure. - Fengwen Chen; Guodong Long; Zonghan Wu; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2022)

FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels. - Zhuowei Wang 003; Tianyi Zhou 001; Guodong Long; Bo Han 003; Jing Jiang 002 (CoRR, 2022)

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Extracting Local Reasoning Chains of Deep Neural Networks. - Haiyan Zhao; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (Trans. Mach. Learn. Res., 2022)

How Many Demonstrations Do You Need for In-context Learning? - Jiuhai Chen; Lichang Chen; Chen Zhu 001; Tianyi Zhou 001 (EMNLP (Findings), 2023)

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. - Shwai He; Run-Ze Fan; Liang Ding 006; Li Shen 008; Tianyi Zhou 001; Dacheng Tao (EMNLP, 2023)

Subclass-balancing Contrastive Learning for Long-tailed Recognition. - Chengkai Hou; Jieyu Zhang 001; Haonan Wang; Tianyi Zhou 001 (ICCV, 2023)

When to Learn What: Model-Adaptive Data Augmentation Curriculum. - Chengkai Hou; Jieyu Zhang 001; Tianyi Zhou 001 (ICCV, 2023)

Structured Cooperative Learning with Graphical Model Priors. - Shuangtong Li; Tianyi Zhou 001; Xinmei Tian 001; Dacheng Tao (ICML, 2023)

Continual Task Allocation in Meta-Policy Network via Sparse Prompting. - Yijun Yang; Tianyi Zhou 001; Jing Jiang 002; Guodong Long; Yuhui Shi 001 (ICML, 2023)

Does Continual Learning Equally Forget All Parameters? - Haiyan Zhao; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (ICML, 2023)

Dual Personalization on Federated Recommendation. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Peng Yan 002; Zijian Zhang 009; Chengqi Zhang; Bo Yang 002 (IJCAI, 2023)

Structured Federated Learning through Clustered Additive Modeling. - Jie Ma; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2023)

H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. - Zhenyu Zhang 015; Ying Sheng 007; Tianyi Zhou 001; Tianlong Chen 001; Lianmin Zheng; Ruisi Cai; Zhao Song 002; Yuandong Tian; Christopher Ré; Clark W. Barrett; Zhangyang Wang; Beidi Chen (NeurIPS, 2023)

Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning. - Qiang He; Tianyi Zhou 001; Meng Fang; Setareh Maghsudi (ECML/PKDD (4), 2023)

Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. - Haiyan Zhao; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (ECML/PKDD (2), 2023)

Aerial Diffusion: Text Guided Ground-to-Aerial View Synthesis from a Single Image using Diffusion Models. - Divya Kothandaraman; Tianyi Zhou 001; Ming C. Lin; Dinesh Manocha (SIGGRAPH Asia Technical Communications, 2023)

It Takes One to Tango but More Make Trouble? The Number of Demonstrations Needed for In-Context Learning. - Jiuhai Chen; Lichang Chen; Chen Zhu 001; Tianyi Zhou 001 (CoRR, 2023)

Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models. - Divya Kothandaraman; Tianyi Zhou 001; Ming C. Lin; Dinesh Manocha (CoRR, 2023)

When do you need Chain-of-Thought Prompting for ChatGPT? - Jiuhai Chen; Lichang Chen; Heng Huang; Tianyi Zhou 001 (CoRR, 2023)

Large Language Models are Strong Zero-Shot Retriever. - Tao Shen 001; Guodong Long; Xiubo Geng; Chongyang Tao; Tianyi Zhou 001; Daxin Jiang (CoRR, 2023)

Graph-guided Personalization for Federated Recommendation. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Peng Yan 002; Zijian Zhang 009; Bo Yang 002 (CoRR, 2023)

IFedRec: Item-Guided Federated Aggregation for Cold-Start. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Xiangyu Zhao 001; Zijian Zhang 009; Bo Yang 002 (CoRR, 2023)

Spatial-temporal Prompt Learning for Federated Weather Forecasting. - Shengchao Chen; Guodong Long; Tao Shen 001; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2023)

Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation. - Davit Soselia; Khalid Saifullah; Tianyi Zhou 001 (CoRR, 2023)

Condensed Prototype Replay for Class Incremental Learning. - Jiangtao Kong; Zhenyu Zong; Tianyi Zhou 001; Huajie Shao (CoRR, 2023)

Taming Small-sample Bias in Low-budget Active Learning. - Linxin Song; Jieyu Zhang 001; Xiaotian Lu; Tianyi Zhou 001 (CoRR, 2023)

Diffusion Models Beat GANs on Image Classification. - Soumik Mukhopadhyay 001; Matthew Gwilliam; Vatsal Agarwal; Namitha Padmanabhan; Archana Swaminathan; Srinidhi Hegde; Tianyi Zhou 001; Abhinav Shrivastava (CoRR, 2023)

MerA: Merging Pretrained Adapters For Few-Shot Learning. - Shwai He; Run-Ze Fan; Liang Ding 006; Li Shen 008; Tianyi Zhou 001; Dacheng Tao (CoRR, 2023)

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. - Shuang Ao; Tianyi Zhou 001; Guodong Long; Xuan Song 001; Jing Jiang 002 (CoRR, 2023)

NLPBench: Evaluating Large Language Models on Solving NLP Problems. - Linxin Song; Jieyu Zhang 001; Lechao Cheng; Pengyuan Zhou; Tianyi Zhou 001; Irene Li (CoRR, 2023)

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. - Ming Li; Lichang Chen; Jiuhai Chen; Shwai He; Heng Huang; Jiuxiang Gu; Tianyi Zhou 001 (CoRR, 2023)

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. - Fuxiao Liu; Tianrui Guan; Zongxia Li; Lichang Chen; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CoRR, 2023)

AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image. - Divya Kothandaraman; Tianyi Zhou 001; Ming C. Lin; Dinesh Manocha (CoRR, 2023)

Do text-free diffusion models learn discriminative visual representations? - Soumik Mukhopadhyay 001; Matthew Gwilliam; Yosuke Yamaguchi; Vatsal Agarwal; Namitha Padmanabhan; Archana Swaminathan; Tianyi Zhou 001; Abhinav Shrivastava (CoRR, 2023)

Good Questions Help Zero-Shot Image Reasoning. - Kaiwen Yang; Tao Shen 001; Xinmei Tian 001; Xiubo Geng; Chongyang Tao; Dacheng Tao; Tianyi Zhou 001 (CoRR, 2023)

Curriculum Learning: from Human Strategies to Learning Dynamics - Tianyi Zhou 001 (2023)

Multi-center federated learning: clients clustering for better personalization. - Guodong Long; Ming Xie; Tao Shen 001; Tianyi Zhou 001; Xianzhi Wang 001; Jing Jiang 002 (World Wide Web (WWW), 2023)

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. - Tao Shen 001; Guodong Long; Xiubo Geng; Chongyang Tao; Yibin Lei; Tianyi Zhou 001; Michael Blumenstein; Daxin Jiang (ACL (Findings), 2024)

Meta-Task Prompting Elicits Embeddings from Large Language Models. - Yibin Lei; Di Wu; Tianyi Zhou 001; Tao Shen 001; Yu Cao 014; Chongyang Tao; Andrew Yates (ACL (1), 2024)

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. - Ming Li; Lichang Chen; Jiuhai Chen; Shwai He; Jiuxiang Gu; Tianyi Zhou 001 (ACL (Findings), 2024)

Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. - Ming Li; Jiuhai Chen; Lichang Chen; Tianyi Zhou 001 (ACL (Findings), 2024)

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. - Ming Li; Yong Zhang 058; Shwai He; Zhitao Li 002; Hongyu Zhao; Jianzong Wang; Ning Cheng 001; Tianyi Zhou 001 (ACL (1), 2024)

Multi-Objective Linguistic Control of Large Language Models. - Dang Nguyen; Jiuhai Chen; Tianyi Zhou 001 (ACL (Findings), 2024)

Automatic Curriculum for Unsupervised Reinforcement Learning. - Yucheng Yang; Tianyi Zhou 001; Lei Han 001; Meng Fang; Mykola Pechenizkiy (AAMAS, 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 003; Xijun Wang 002; Lichang Chen; Furong Huang; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CVPR, 2024)

Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. - Yijun Yang; Tianyi Zhou 001; Kanxue Li; Dapeng Tao; Lusong Li; Li Shen 008; Xiaodong He 001; Jing Jiang 002; Yuhui Shi 001 (CVPR, 2024)

Corpus-Steered Query Expansion with Large Language Models. - Yibin Lei; Yu Cao 014; Tianyi Zhou 001; Tao Shen 001; Andrew Yates (EACL (2), 2024)

Understanding the Impact of Negative Prompts: When and How Do They Take Effect? - Yuanhao Ban; Ruochen Wang; Tianyi Zhou 001; Minhao Cheng; Boqing Gong; Cho-Jui Hsieh (ECCV (89), 2024)

Do Text-Free Diffusion Models Learn Discriminative Visual Representations? - Soumik Mukhopadhyay 001; Matthew Gwilliam; Yosuke Yamaguchi; Vatsal Agarwal; Namitha Padmanabhan; Archana Swaminathan; Tianyi Zhou 001; Jun Ohya; Abhinav Shrivastava (ECCV (60), 2024)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. - Maharshi Gor; Hal Daumé III; Tianyi Zhou 001; Jordan L. Boyd-Graber (EMNLP, 2024)

1+1 textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? - Yue Huang 001; Chenrui Fan; Yuan Li 032; Siyuan Wu 001; Tianyi Zhou 001; Xiangliang Zhang 001; Lichao Sun 001 (EMNLP, 2024)

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers. - Xirui Li; Ruochen Wang; Minhao Cheng; Tianyi Zhou 001; Cho-Jui Hsieh (EMNLP (Findings), 2024)

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding. - Ryan Sun; Tianyi Zhou 001; Xun Chen; Lichao Sun 001 (EMNLP, 2024)

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. - Xiyang Wu; Tianrui Guan; Dianqi Li; Shuaiyi Huang; Xiaoyu Liu 003; Xijun Wang 002; Ruiqi Xian; Abhinav Shrivastava; Furong Huang; Jordan L. Boyd-Graber; Tianyi Zhou 001; Dinesh Manocha (EMNLP (Findings), 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 001; Heng Huang; Hongxia Jin (ICLR, 2024)

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. - Qiang He; Tianyi Zhou 001; Meng Fang; Setareh Maghsudi (ICLR, 2024)

Federated Recommendation with Additive Personalization. - Zhiwei Li 007; Guodong Long; Tianyi Zhou 001 (ICLR, 2024)

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. - Yucheng Yang; Tianyi Zhou 001; Qiang He; Lei Han 001; Mykola Pechenizkiy; Meng Fang (ICLR, 2024)

Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models. - Jan van den Brand; Zhao Song 002; Tianyi Zhou 001 (ICML, 2024)

ODIN: Disentangled Reward Mitigates Hacking in RLHF. - Lichang Chen; Chen Zhu 001; Jiuhai Chen; Davit Soselia; Tianyi Zhou 001; Tom Goldstein; Heng Huang; Mohammad Shoeybi; Bryan Catanzaro (ICML, 2024)

InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. - Lichang Chen; Jiuhai Chen; Tom Goldstein; Heng Huang; Tianyi Zhou 001 (ICML, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. - Ruochen Wang; Sohyun An; Minhao Cheng; Tianyi Zhou 001; Sung Ju Hwang; Cho-Jui Hsieh (ICML, 2024)

Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering. - Yu Shen; Laura Zheng; Tianyi Zhou 001; Ming C. Lin (ICRA, 2024)

GPFedRec: Graph-Guided Personalization for Federated Recommendation. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Zijian Zhang 009; Peng Yan 002; Bo Yang 002 (KDD, 2024)

An End-to-End Submodular Framework for Data-Efficient In-Context Learning. - Lilly Kumari; Shengjie Wang; Arnav Das 001; Tianyi Zhou 001; Jeff A. Bilmes (NAACL-HLT (Findings), 2024)

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. - Ming Li; Yong Zhang 058; Zhitao Li 002; Jiuhai Chen; Lichang Chen; Ning Cheng 001; Jianzong Wang; Tianyi Zhou 001; Jing Xiao 006 (NAACL-HLT, 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 001; Tom Goldstein; John Langford 001; Animashree Anandkumar; Furong Huang (NeurIPS, 2024)

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. - Shuai Li 010; Zhao Song 002; Yu Xia 007; Tong Yu 001; Tianyi Zhou 001 (NeurIPS, 2024)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Zijian Zhang 009; Peng Yan 002; Bo Yang 002 (WWW, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. - Yao Lu; Song Bian 002; Lequn Chen 001; Yongjun He 004; Yulong Hui; Matthew Lentz; Beibin Li; Fei Liu; Jialin Li 001; Qi Liu; Rui Liu; Xiaoxuan Liu; et al. (CoRR, 2024)

MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion. - Sen Li; Ruochen Wang; Cho-Jui Hsieh; Minhao Cheng; Tianyi Zhou 001 (CoRR, 2024)

A Survey on Knowledge Distillation of Large Language Models. - Xiaohan Xu; Ming Li; Chongyang Tao; Tao Shen 001; Reynold Cheng; Jinyang Li 003; Can Xu; Dacheng Tao; Tianyi Zhou 001 (CoRR, 2024)

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers. - Xirui Li; Ruochen Wang; Minhao Cheng; Tianyi Zhou 001; Cho-Jui Hsieh (CoRR, 2024)

Meta-Task Prompting Elicits Embedding from Large Language Models. - Yibin Lei; Di Wu; Tianyi Zhou 001; Tao Shen 001; Yu Cao 014; Chongyang Tao; Andrew Yates (CoRR, 2024)

Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. - Ming Li; Pei Chen; Chenguang Wang; Hongyu Zhao; Yijun Liang; Yupeng Hou; Fuxiao Liu; Tianyi Zhou 001 (CoRR, 2024)

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. - Xiyao Wang; Jiuhai Chen; Zhaoyang Wang 004; Yuhang Zhou; Yiyang Zhou; Huaxiu Yao; Tianyi Zhou 001; Tom Goldstein; Parminder Bhatia; Furong Huang; Cao Xiao (CoRR, 2024)

Multi-Level Additive Modeling for Structured Non-IID Federated Learning. - Shutong Chen; Tianyi Zhou 001; Guodong Long; Jie Ma; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

OPTune: Efficient Online Preference Tuning. - Lichang Chen; Jiuhai Chen; Chenxi Liu; John Kirchenbauer; Davit Soselia; Chen Zhu 001; Tom Goldstein; Tianyi Zhou 001; Heng Huang (CoRR, 2024)

GenQA: Generating Millions of Instructions from a Handful of Prompts. - Jiuhai Chen; Rifaa Qadri; Yuxin Wen; Neel Jain; John Kirchenbauer; Tianyi Zhou 001; Tom Goldstein (CoRR, 2024)

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? - Yue Huang 001; Chenrui Fan; Yuan Li 032; Siyuan Wu 001; Tianyi Zhou 001; Xiangliang Zhang 001; Lichao Sun 001 (CoRR, 2024)

MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries? - Xirui Li; Hengguang Zhou; Ruochen Wang; Tianyi Zhou 001; Minhao Cheng; Cho-Jui Hsieh (CoRR, 2024)

UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. - Siyuan Wu 001; Yue Huang 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Xiangliang Zhang 001; Jianfeng Gao 001; Chaowei Xiao; Lichao Sun 001 (CoRR, 2024)

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. - Weiping Ding 001; Tianyi Zhou 001; Jiashuang Huang; Shu Jiang; Tao Hou; Chin-Teng Lin (CoRR, 2024)

FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. - Weiping Ding 001; Sheng Geng; Haipeng Wang; Jiashuang Huang; Tianyi Zhou 001 (CoRR, 2024)

M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction. - Hui Luo; Jiashuang Huang; Hengrong Ju; Tianyi Zhou 001; Weiping Ding 001 (CoRR, 2024)

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. - Siyu Zhou; Tianyi Zhou 001; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion. - Yijun Liang; Shweta Bhardwaj; Tianyi Zhou 001 (CoRR, 2024)

BenTo: Benchmark Task Reduction with In-Context Transferability. - Hongyu Zhao; Ming Li; Lichao Sun 001; Tianyi Zhou 001 (CoRR, 2024)

Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning. - Jiangtao Kong; Jiacheng Shi; Ashley Gao; Shaohan Hu; Tianyi Zhou 001; Huajie Shao (CoRR, 2024)

Reweighting Local Mimina with Tilted SAM. - Tian Li 005; Tianyi Zhou 001; Jeffrey A. Bilmes (CoRR, 2024)

What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective. - Ming Li; Yanhong Li; Tianyi Zhou 001 (CoRR, 2024)

DynaSaur: Large Language Agents Beyond Predefined Actions. - Dang Nguyen; Viet Dac Lai; Seunghyun Yoon 002; Ryan A. Rossi; Handong Zhao; Ruiyi Zhang 002; Puneet Mathur; Nedim Lipka; Yu Wang 160; Trung Bui; Franck Dernoncourt; Tianyi Zhou 001 (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. - Weiping Ding 001; Sheng Geng; Haipeng Wang; Jiashuang Huang; Tianyi Zhou 001 (Inf. Fusion, 2024)

A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels. - Songhua Wu; Tianyi Zhou 001; Yuxuan Du; Jun Yu 001; Bo Han 003; Tongliang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

False Correlation Reduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Tianyi Zhou 001; Zhaoran Wang 001; Jing Jiang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. - Weiping Ding 001; Tianyi Zhou 001; Jiashuang Huang; Shu Jiang; Tao Hou; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2024)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. - Zhiwei Li 007; Guodong Long; Tianyi Zhou 001; Jing Jiang 002; Chengqi Zhang (AAAI, 2025)

ATLAS: Agent Tuning via Learning Critical Steps. - Zhixun Chen; Ming Li; Yuxuan Huang; Yali Du 001; Meng Fang; Tianyi Zhou 001 (ACL (Findings), 2025)

Multiple LLM Agents Debate for Equitable Cultural Alignment. - Dayeon Ki; Rachel Rudinger; Tianyi Zhou 001; Marine Carpuat (ACL (1), 2025)

Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. - Ming Li; Pei Chen; Chenguang Wang; Hongyu Zhao; Yijun Liang; Yupeng Hou; Fuxiao Liu; Tianyi Zhou 001 (ACL (Findings), 2025)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Lists to Emojis: How Format Bias Affects Model Alignment. - Xuanchang Zhang; Wei Xiong 015; Lichang Chen; Tianyi Zhou 001; Heng Huang; Tong Zhang 001 (ACL (1), 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 001; Tianyi Zhou 001; Bin Xiao 004 (CVPR, 2025)

The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. - Yuanhao Ban; Ruochen Wang; Tianyi Zhou 001; Boqing Gong; Cho-Jui Hsieh; Minhao Cheng (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 001; Heng Huang; Ming-Hsuan Yang 001; Boqing Gong (ICLR, 2025)

DataGen: Unified Synthetic Dataset Generation via Large Language Models. - Yue Huang 001; Siyuan Wu 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Chaowei Xiao; Jianfeng Gao 001; Lichao Sun 001; Xiangliang Zhang 001 (ICLR, 2025)

Many-Objective Multi-Solution Transport. - Ziyue Li; Tian Li 005; Virginia Smith; Jeff Bilmes; Tianyi Zhou 001 (ICLR, 2025)

Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free. - Ziyue Li; Tianyi Zhou 001 (ICLR, 2025)

Is Your Multimodal Language Model Oversensitive to Safe Queries? - Xirui Li; Hengguang Zhou; Ruochen Wang; Tianyi Zhou 001; Minhao Cheng; Cho-Jui Hsieh (ICLR, 2025)

BenTo: Benchmark Reduction with In-Context Transferability. - Hongyu Zhao; Ming Li; Lichao Sun 001; Tianyi Zhou 001 (ICLR, 2025)

RuleR: Improving LLM Controllability by Rule-based Data Recycling. - Ming Li; Han Chen; Chenguang Wang; Dang Nguyen; Dianqi Li; Tianyi Zhou 001 (NAACL (Short Papers), 2025)

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. - Xiyao Wang; Jiuhai Chen; Zhaoyang Wang 004; Yuhang Zhou; Yiyang Zhou; Huaxiu Yao; Tianyi Zhou 001; Tom Goldstein; Parminder Bhatia; Taha A. Kass-Hout; Furong Huang; Cao Xiao (NAACL (Findings), 2025)

Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification. - Tao Hou; Weiping Ding 001; Jiashuang Huang; Shu Jiang; Hongcheng Yao; Tianyi Zhou 001; Hengrong Ju (Appl. Soft Comput., 2025)

F2CAU-Net: A dual fuzzy medical image segmentation cascade method based on fuzzy feature learning. - Tianyi Zhou 001; Haipeng Wang; Sheng Geng; Hengrong Ju; Jiashuang Huang; Fan Fu; Weiping Ding 001 (Appl. Soft Comput., 2025)

YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning. - Jiangtao Kong; Zhenyu Zong; Tianyi Zhou 001; Huajie Shao (Trans. Mach. Learn. Res., 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts. - Zhongyang Li; Ziyue Li; Tianyi Zhou 001 (CoRR, 2025)

Quantifying and Modeling Driving Styles in Trajectory Forecasting. - Laura Zheng; Hamidreza Yaghoubi Araghi; Tony Wu; Sandeep Thalapanane; Tianyi Zhou 001; Ming C. Lin (CoRR, 2025)

R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model. - Hengguang Zhou; Xirui Li; Ruochen Wang; Minhao Cheng; Tianyi Zhou 001; Cho-Jui Hsieh (CoRR, 2025)

CoSTA∗: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing. - Advait Gupta; NandaKiran Velaga; Dang Nguyen; Tianyi Zhou 001 (CoRR, 2025)

Towards Visual Text Grounding of Multimodal Large Language Model. - Ming Li; Ruiyi Zhang 002; Jian Chen 043; Jiuxiang Gu; Yufan Zhou 001; Franck Dernoncourt; Wanrong Zhu; Tianyi Zhou 001; Tong Sun 005 (CoRR, 2025)

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning. - Taiwei Shi; Yiyang Wu; Linxin Song; Tianyi Zhou 001; Jieyu Zhao 001 (CoRR, 2025)

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? - Chenrui Fan; Ming Li; Lichao Sun 001; Tianyi Zhou 001 (CoRR, 2025)

FedMerge: Federated Personalization via Model Merging. - Shutong Chen; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing. - Zhongyang Li; Ziyue Li; Tianyi Zhou 001 (CoRR, 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 Cobbina; Shweta Bhardwaj; Jiuhai Chen; Fuxiao Liu; Tianyi Zhou 001 (CoRR, 2025)

How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients. - Ming Li; Yanhong Li; Ziyue Li; Tianyi Zhou 001 (CoRR, 2025)

GraphicBench: A Planning Benchmark for Graphic Design with Language Agents. - Dayeon Ki; Tianyi Zhou 001; Marine Carpuat; Gang Wu 013; Puneet Mathur; Viswanathan (Vishy) Swaminathan (CoRR, 2025)

Exploring Expert Failures Improves LLM Agent Tuning. - Li-Cheng Lan; Andrew Bai; Minhao Cheng; Cho-Jui Hsieh; Tianyi Zhou 001 (CoRR, 2025)

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents. - Siyu Zhou; Tianyi Zhou 001; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs. - Paiheng Xu; Gang Wu 013; Xiang Chen; Tong Yu 001; Chang Xiao; Franck Dernoncourt; Tianyi Zhou 001; Wei Ai 002; Viswanathan (Vishy) Swaminathan (CoRR, 2025)

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach. - Yiyuan Yang; Guodong Long; Tianyi Zhou 001; Qinghua Lu 001; Shanshan Ye; Jing Jiang 002 (CoRR, 2025)

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding. - Zongxia Li; Xiyang Wu; Guangyao Shi; Yubin Qin; Hongyang Du; Tianyi Zhou 001; Dinesh Manocha; Jordan Lee Boyd-Graber (CoRR, 2025)

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset. - Jiuhai Chen; Zhiyang Xu; Xichen Pan; Yushi Hu; Can Qin; Tom Goldstein; Lifu Huang; Tianyi Zhou 001; Saining Xie; Silvio Savarese; Le Xue; Caiming Xiong; et al. (CoRR, 2025)

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models. - Sohyun An; Ruochen Wang; Tianyi Zhou 001; Cho-Jui Hsieh (CoRR, 2025)

Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining. - Chenxi Liu; Tianyi Xiong; Ruibo Chen; Yihan Wu; Junfeng Guo; Tianyi Zhou 001; Heng Huang (CoRR, 2025)

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency. - Chenlong Wang; Yuanning Feng; Dongping Chen; Zhaoyang Chu; Ranjay Krishna; Tianyi Zhou 001 (CoRR, 2025)

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. - Zhiyang Xu; Jiuhai Chen; Zhaojiang Lin; Xichen Pan; Lifu Huang; Tianyi Zhou 001; Madian Khabsa; Qifan Wang 001; Di Jin; Michihiro Yasunaga; Lili Yu; Xi Victoria Lin; et al. (CoRR, 2025)

Optimizing Length Compression in Large Reasoning Models. - Zhengxiang Cheng; Dongping Chen; Mingyang Fu; Tianyi Zhou 001 (CoRR, 2025)

FaSTA*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing. - Advait Gupta; Rishie Raj; Dang Nguyen; Tianyi Zhou 001 (CoRR, 2025)

Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test. - Ziyue Li; Chenrui Fan; Tianyi Zhou 001 (CoRR, 2025)

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning. - Ming Li; Chenguang Wang; Yijun Liang; Xiyao Wang; Yuhang Zhou; Xiyang Wu; Yuqing Zhang; Ruiyi Zhang 002; Tianyi Zhou 001 (CoRR, 2025)

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning. - Kwesi Cobbina; Tianyi Zhou 001 (CoRR, 2025)

VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding. - Jian Chen 043; Ming Li; Jihyung Kil; Chenguang Wang; Tong Yu 001; Ryan A. Rossi; Tianyi Zhou 001; Changyou Chen; Ruiyi Zhang 002 (CoRR, 2025)

ECG Adaptive Synthesis With Multigranular Fuzzy EASNN: Enhancing Wearable Cardiac Monitoring. - Fan Fu; Jiamin Liu; Bosheng He; Weiguan Chen; Tianyi Zhou 001; Jiajia Zhai; Jiyang Lu; Hongjian Lu; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2025)