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
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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