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← Authors

Hao Hu

28 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (38) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ’Ž Century Club (26) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (93) ❓ The Questioner

Conferences

ICML (9) AAAI (5) ICLR (5) NIPS (3) CVPR (2) MICCAI (2) ACL (1) IJCAI (1)

Top co-authors

Chongjie Zhang (14) Yiqin Yang (10) Qianchuan Zhao (7) Yue Gao (4) Rundong Xue (4) Chengjie Wu (4) Shaoyi Du (4) Xiangmin Han (3) Guo-Jun Qi (3) Xiaoteng Ma (3)

Keywords

sample efficiency (3) offline reinforcement learning (3) overestimation bia (2) recurrent neural network (2) temporal pattern (2) vision-language model (2) multimodal learning (1) visual question answering (1) sequence modeling (1) hierarchical learning (1) manifold learning (1) knowledge distillation (1) reinforcement learning (1) interpretable machine learning (1) semantic alignment (1) image generation (1) explainable ai (1) discount factor (1) value function (1) autonomous driving (1)

Papers

Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis AAAI 2026 Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation AAAI 2026 Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI MICCAI 2025 DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis MICCAI 2025 Episodic Novelty Through Temporal Distance ICLR 2025 IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit ACL 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset ICLR 2025 LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning CVPR 2025 CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries ICML 2025 Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners ICML 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ICLR 2024 Bayesian Design Principles for Offline-to-Online Reinforcement Learning ICML 2024 Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents ICML 2024 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023 What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 Unsupervised Behavior Extraction via Random Intent Priors NIPS 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NIPS 2023 Offline Reinforcement Learning with Value-based Episodic Memory ICLR 2022 Optimizing Binary Decision Diagrams with MaxSAT for Classification AAAI 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 On the Estimation Bias in Double Q-Learning NIPS 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost IJCAI 2020 Learning to Adaptively Scale Recurrent Neural Networks AAAI 2019 Global Versus Localized Generative Adversarial Nets CVPR 2018 State-Frequency Memory Recurrent Neural Networks ICML 2017