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Qinghua Liu

20 papers · 2020–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7)
πŸ—ΊοΈ Taxonomy Completionist (27) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown 🧬 Topic Evolution ❓ The Questioner (3) πŸ’Ž Century Club (20) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (68) πŸ”₯ Unstoppable (6)

Conferences

NIPS (9) ICML (4) COLT (2) ICLR (2) ACL (1) ACML (1) INTERSPEECH (1)

Papers

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment ICML 2025 The Belief State Transformer ICLR 2025 Evaluating the Long-Term Memory of Large Language Models ACL 2025 DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models ACML 2024 The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark NIPS 2024 PIAVE: A Pose-Invariant Audio-Visual Speaker Extraction Network INTERSPEECH 2023 Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL NIPS 2023 Is RLHF More Difficult than Standard RL? A Theoretical Perspective NIPS 2023 Context-lumpable stochastic bandits NIPS 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Sample-Efficient Reinforcement Learning of Partially Observable Markov Games NIPS 2022 When Is Partially Observable Reinforcement Learning Not Scary? COLT 2022 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022 Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022 A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021 Provable Rich Observation Reinforcement Learning with Combinatorial Latent States ICLR 2021 Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NIPS 2021 Sample-Efficient Reinforcement Learning of Undercomplete POMDPs NIPS 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NIPS 2020