Dan Qiao
16 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (7)
π§
Keyword Pioneer
π
Cross-Pollinator
(10)
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(64)
π
Century Club
(14)
Conferences
ACL (4)
NIPS (4)
AISTATS (3)
ICML (2)
COLING (1)
ICLR (1)
L4DC (1)
Top co-authors
Research topics
Keywords
regret bound
(4)
differential privacy
(4)
joint differential privacy
(2)
reinforcement learning
(2)
online learning
(2)
markov decision process
(2)
label noise
(2)
natural language processing
(1)
sequential decision-making
(1)
contrastive learning
(1)
offline reinforcement learning
(1)
game theory
(1)
multi-agent reinforcement learning
(1)
text classification
(1)
chain-of-thought reasoning
(1)
episodic learning
(1)
data augmentation
(1)
text generation
(1)
hierarchical text classification
(1)
self-supervised learning
(1)
Papers
Suggest-Verify-Revise: A Three-Stage Document-Level Event Causality Identification with Narrative Consistency
ACL 2026
When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning
ACL 2026
Multi-Agent Credit Assignment with Pretrained Language Models
AISTATS 2025
Decoder-Only LLMs can be Masked Auto-Encoders
ACL 2025
Rates for Offline Reinforcement Learning with Adaptively Collected Data
L4DC 2025
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
NIPS 2024
Differentially Private Reinforcement Learning with Self-Play
NIPS 2024
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
ICML 2024
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
ICLR 2023
Towards Better Hierarchical Text Classification with Data Generation
ACL 2023
Near-Optimal Differentially Private Reinforcement Learning
AISTATS 2023
Doubly Fair Dynamic Pricing
AISTATS 2023
Offline Reinforcement Learning with Differential Privacy
NIPS 2023
Differentially Private Linear Sketches: Efficient Implementations and Applications
NIPS 2022
SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training
COLING 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
ICML 2022