Qingyun Wu
19 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Renaissance Researcher
(5)
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The Questioner
(2)
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(94)
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Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Core AI
(10)
Optimization & Theory
(10)
Learning Types
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Application Areas
(3)
Deep Learning
(2)
Optimization
(2)
Resources & Methods
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Vision
(1)
Keywords
hyperparameter optimization
(4)
large language model
(4)
multi-armed bandit
(2)
contextual bandit
(2)
agent system
(2)
coreset selection
(1)
visual question answering
(1)
online learning
(1)
iterative refinement
(1)
thompson sampling
(1)
markov decision process
(1)
regret minimization
(1)
variational bayesian inference
(1)
learning to rank
(1)
sample complexity
(1)
best arm identification
(1)
random search
(1)
multimodal learning
(1)
off-policy learning
(1)
arm selection
(1)
Papers
Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs
EACL 2026
TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems
ACL 2026
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
ICML 2025
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
EMNLP 2025
SimpleDoc: Multi‐Modal Document Understanding with Dual‐Cue Page Retrieval and Iterative Refinement
EMNLP 2025
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
ICML 2025
Adversarial Attacks on Combinatorial Multi-Armed Bandits
ICML 2024
Assessing and Verifying Task Utility in LLM-Powered Applications
EMNLP 2024
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
ICLR 2024
Offline Training of Language Model Agents with Functions as Learnable Weights
ICML 2024
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
ICML 2024
Multi-Fidelity Multi-Armed Bandits Revisited
NeurIPS 2023
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
ICLR 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NeurIPS 2023
ChaCha for Online AutoML
ICML 2021
ECONOMIC HYPERPARAMETER OPTIMIZATION WITH BLENDED SEARCH STRATEGY
ICLR 2021
Frugal Optimization for Cost-related Hyperparameters
AAAI 2021
Unifying Clustered and Non-stationary Bandits
AISTATS 2021
Bandit Learning with Implicit Feedback
NeurIPS 2018