Ming Yin

NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive Learning AAAI 2026 Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs AAAI 2026 Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration AAAI 2026 Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation MICCAI 2025 Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection NAACL 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations ICML 2025 Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems ICML 2025 Rates for Offline Reinforcement Learning with Adaptively Collected Data L4DC 2025 Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing ICCV 2025 K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach AAAI 2025 MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI CVPR 2024 Fast Best-of-N Decoding via Speculative Rejection NIPS 2024 Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary NIPS 2024 How Does the Disclosure of AI Assistance Affect the Perceptions of Writing? EMNLP 2024 Offline Multitask Representation Learning for Reinforcement Learning NIPS 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ICML 2024 Transfer Q-star : Principled Decoding for LLM Alignment NIPS 2024 NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation NIPS 2024 Learning the Target Network in Function Space ICML 2024 A Theoretical Perspective for Speculative Decoding Algorithm NIPS 2024 Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making AAAI 2024 Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making IJCAI 2024 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023 Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation NIPS 2023 Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023 Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections ACL 2023 TheoremQA: A Theorem-driven Question Answering Dataset EMNLP 2023 Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations EMNLP 2023 Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient ICLR 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023 Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance IJCAI 2023 The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets IJCAI 2023 No-Regret Linear Bandits beyond Realizability UAI 2023 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022 Interactively Uncovering Latent Arguments in Social Media Platforms: A Case Study on the Covid-19 Vaccine Debate EMNLP 2022 Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism ICLR 2022 A Holistic Framework for Analyzing the COVID-19 Vaccine Debate NAACL 2022 Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NIPS 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Towards Instance-Optimal Offline Reinforcement Learning with Pessimism NIPS 2021 Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract) IJCAI 2021 Accounting for Confirmation Bias in Crowdsourced Label Aggregation IJCAI 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NIPS 2021 Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning AISTATS 2020 Shared Generative Latent Representation Learning for Multi-View Clustering AAAI 2020 Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds CVPR 2016 Bonus or Not? Learn to Reward in Crowdsourcing IJCAI 2015