Qingyun Wu
19 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Renaissance Researcher (7) ๐ Academic Marathon (7) ๐ Conference Polyglot (6) ๐บ๏ธ Taxonomy Completionist (24)
๐บ๏ธ
Taxonomy Completionist
(24)
๐งญ
Keyword Pioneer
๐ฃ
Hot Topic Early Bird
๐งฌ
Topic Evolution
๐
Grand Slam
๐
Keyword Champion
โก
Prolific Year
(5)
๐๏ธ
Keyword Collector
(52)
๐
Century Club
(17)
โ
The Questioner
Conferences
ICML (6)
EMNLP (3)
ICLR (3)
NIPS (3)
AAAI (1)
ACL (1)
AISTATS (1)
EACL (1)
Top co-authors
Keywords
contextual bandit
(2)
agent system
(2)
multi-armed bandit
(2)
hyperparameter optimization
(2)
regret minimization
(1)
visual question answering
(1)
offline reinforcement learning
(1)
iterative refinement
(1)
change detection
(1)
markov decision process
(1)
sample complexity
(1)
variational bayesian inference
(1)
learning to rank
(1)
arm selection
(1)
random search
(1)
off-policy learning
(1)
best arm identification
(1)
thompson sampling
(1)
implicit feedback
(1)
multimodal learning
(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
SimpleDoc: MultiโModal Document Understanding with DualโCue Page Retrieval and Iterative Refinement
EMNLP 2025
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
EMNLP 2025
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
ICML 2025
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
ICML 2025
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
ICLR 2024
Adversarial Attacks on Combinatorial Multi-Armed Bandits
ICML 2024
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
ICML 2024
Assessing and Verifying Task Utility in LLM-Powered Applications
EMNLP 2024
Offline Training of Language Model Agents with Functions as Learnable Weights
ICML 2024
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
ICLR 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NIPS 2023
Multi-Fidelity Multi-Armed Bandits Revisited
NIPS 2023
ChaCha for Online AutoML
ICML 2021
ECONOMIC HYPERPARAMETER OPTIMIZATION WITH BLENDED SEARCH STRATEGY
ICLR 2021
Unifying Clustered and Non-stationary Bandits
AISTATS 2021
Frugal Optimization for Cost-related Hyperparameters
AAAI 2021
Bandit Learning with Implicit Feedback
NIPS 2018