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Yue Wu

111 papers · 2013–2026 · 17 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 29 separate collaboration groups - the largest holds only 19% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Yue Wu?

12 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Quanquan Gu, Tao Jin, Farzad Farnoud 21 papers · 2021–2025 · ICML, ICLR, NeurIPS Hide ▲
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment ICML 2025 Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity ICML 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 Self-Play Preference Optimization for Language Model Alignment ICLR 2025 Borda Regret Minimization for Generalized Linear Dueling Bandits ICML 2024 DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 Protein Conformation Generation via Force-Guided SE(3) Diffusion Models ICML 2024 SmartPlay : A Benchmark for LLMs as Intelligent Agents ICLR 2024 Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits ICLR 2024 Personalized Federated Learning under Mixture of Distributions ICML 2023 Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals NeurIPS 2023 SPRING: Studying Papers and Reasoning to play Games NeurIPS 2023 Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023 Active Ranking without Strong Stochastic Transitivity NeurIPS 2022 Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons AISTATS 2022 Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022 Towards Understanding the Mixture-of-Experts Layer in Deep Learning NeurIPS 2022 Self-supervised Learning from a Multi-view Perspective ICLR 2021 Towards Understanding the Spectral Bias of Deep Learning IJCAI 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021
17 papers whose co-authors appear nowhere else under this name
Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval AAAI 2026 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025 Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs ACL 2025 Granular loco-manipulation: Repositioning rocks through strategic sand avalanche CoRL 2025 Infer Human’s Intentions Before Following Natural Language Instructions AAAI 2025 Should I Believe in What Medical AI Says? A Chinese Benchmark for Medication Based on Knowledge and Reasoning ACL 2025 VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos ICCV 2025 Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation WACV 2024 Graph Generative Model for Benchmarking Graph Neural Networks ICML 2023 Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models EMNLP 2023 Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023 Prompt-aligned Gradient for Prompt Tuning ICCV 2023 Demonstration-Guided Reinforcement Learning with Learned Skills CoRL 2021 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting NeurIPS 2020 Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews Interspeech 2020 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation NeurIPS 2018 Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging ICCV 2015