← Authors

Tianyi Zhou

117 papers · 2012–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion (8) ⚑ Prolific Year (8) ❓ The Questioner (8) πŸ—ƒοΈ Keyword Collector (376) πŸ’Ž Century Club (113) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

ICLR (20) ICML (17) NIPS (17) ACL (13) EMNLP (12) AAAI (7) NAACL (7) AISTATS (5) ICCV (5) IJCAI (5) CVPR (4) EACL (2) ECCV (2) COLING (1)

Top co-authors

Guodong Long (24) Jing Jiang (22) Chengqi Zhang (15) Jeff Bilmes (11) Lichang Chen (10) Ming Li (10) Dacheng Tao (10) Shengjie Wang (10) Tao Shen (9) Jiuhai Chen (9)

Research topics

Optimization & Theory (1)

Keywords

large language model (20) curriculum learning (8) federated learning (7) data augmentation (6) contrastive learning (6) representation learning (5) neural network (5) knowledge distillation (5) in-context learning (5) instruction tuning (5) attention mechanism (4) reinforcement learning (4) few-shot learning (4) transfer learning (4) vision-language model (4) self-supervised learning (3) model compression (3) continual learning (3) adversarial attack (3) prompt engineering (3)

Papers

FedMerge: Federated Model Merging for Personalization AAAI 2026
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026
MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals AAAI 2026
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs EACL 2026
Wait, We Don’t Need to β€œWait”! Removing Thinking Tokens Improves Reasoning Efficiency EMNLP 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs AISTATS 2025
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory EMNLP 2025
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion CVPR 2025
Tilted Sharpness-Aware Minimization ICML 2025
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts ICML 2025
Transformers Learn Low Sensitivity Functions: Investigations and Implications ICLR 2025
Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free ICLR 2025
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities ICLR 2025
DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025
BenTo: Benchmark Reduction with In-Context Transferability ICLR 2025
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise ICLR 2025
Is Your Multimodal Language Model Oversensitive to Safe Queries? ICLR 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025
Many-Objective Multi-Solution Transport ICLR 2025
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement NAACL 2025
RuleR: Improving LLM Controllability by Rule-based Data Recycling NAACL 2025
Sparser Mixture-of-Adapters with Cross-Layer Generalization NAACL 2025
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization ICML 2025
Multiple LLM Agents Debate for Equitable Cultural Alignment ACL 2025
From Lists to Emojis: How Format Bias Affects Model Alignment ACL 2025
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective ACL 2025
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning ACL 2025
GUI Agents: A Survey ACL 2025
ATLAS: Agent Tuning via Learning Critical Steps ACL 2025
Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion ICCV 2025
RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters ICCV 2025
Pre-trained Large Language Models Use Fourier Features to Compute Addition NIPS 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization NIPS 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NIPS 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models ACL 2024
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning ACL 2024
Multi-Objective Linguistic Control of Large Language Models ACL 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever ACL 2024
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements ACL 2024
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning ACL 2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models CVPR 2024
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld CVPR 2024
Corpus-Steered Query Expansion with Large Language Models EACL 2024
Do text-free diffusion models learn discriminative visual representations? ECCV 2024
When and How do negative prompts take effect? ECCV 2024
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding EMNLP 2024
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA EMNLP 2024
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models EMNLP 2024
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024
Federated Recommendation with Additive Personalization ICLR 2024
AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 2024
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models ICML 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models ICML 2024
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts ICML 2024
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL 2024
An End-to-End Submodular Framework for Data-Efficient In-Context Learning NAACL 2024
Subclass-balancing Contrastive Learning for Long-tailed Recognition ICCV 2023
Module-wise Adaptive Distillation for Multimodality Foundation Models NIPS 2023
Structured Federated Learning through Clustered Additive Modeling NIPS 2023
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models NIPS 2023
Structured Cooperative Learning with Graphical Model Priors ICML 2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023
Does Continual Learning Equally Forget All Parameters? ICML 2023
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts EMNLP 2023
How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023
Dual Personalization on Federated Recommendation IJCAI 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum ICCV 2023
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning ICML 2022
Phrase-level Textual Adversarial Attack with Label Preservation NAACL 2022
Token Dropping for Efficient BERT Pretraining ACL 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022
Pareto Policy Pool for Model-based Offline Reinforcement Learning ICLR 2022
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification ICLR 2022
Diverse Client Selection for Federated Learning via Submodular Maximization ICLR 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NIPS 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022
Retrospective Adversarial Replay for Continual Learning NIPS 2022
Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022
Personalized Federated Learning With a Graph IJCAI 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022
Isometric Propagation Network for Generalized Zero-shot Learning ICLR 2021
Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum NIPS 2021
Constrained Robust Submodular Partitioning NIPS 2021
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction EMNLP 2021
Robust Curriculum Learning: from clean label detection to noisy label self-correction ICLR 2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021
Curriculum Learning by Dynamic Instance Hardness NIPS 2020
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction AAAI 2020
Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention COLING 2020
Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering ICCV 2019
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together NAACL 2019
Learning to Propagate for Graph Meta-Learning NIPS 2019
Curriculum-guided Hindsight Experience Replay NIPS 2019
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ICML 2019
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity ICLR 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling IJCAI 2018
Diverse Ensemble Evolution: Curriculum Data-Model Marriage NIPS 2018
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling ICLR 2018
Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017
Divide-and-Conquer Learning by Anchoring a Conical Hull NIPS 2014
Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation IJCAI 2013
Greedy Bilateral Sketch, Completion & Smoothing AISTATS 2013
Multi-label Subspace Ensemble AISTATS 2012