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Hao Hu

30 papers · 2017–2026 · 9 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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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (49) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (14) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Silver ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (142)

Venues

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

Top co-authors

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

Research topics

Machine Learning (20) Reinforcement Learning (17) Methods (17) Learning Types Β· Machine Learning (14) Deep Learning (9) Core Methods (8) Artificial Intelligence (7) Core AI (6) Optimization & Theory (6) Learning Types Β· Deep Learning (5) Applications (3) Architectures (3) Models (3) Computer Vision (2) Natural Language Processing (2)

Keywords

offline reinforcement learning (8) sample efficiency (3) contrastive learning (3) behavior cloning (2) recurrent neural network (2) value function (2) overestimation bia (2) vision-language model (2) intrinsic reward (2) temporal pattern (2) trajectory clustering (2) episodic memory (2) sparse reward (2) reward-free data (2) curriculum learning (1) hierarchical learning (1) k-means clustering (1) manifold learning (1) reinforcement learning (1) sequence modeling (1)

Papers

Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation AAAI 2026 Ego-1K - A Large-Scale Multiview Video Dataset for Egocentric Vision CVPR 2026 Policy-Based Trajectory Clustering in Offline Reinforcement Learning UAI 2026 Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis AAAI 2026 Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI MICCAI 2025 CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries ICML 2025 DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis MICCAI 2025 Episodic Novelty Through Temporal Distance ICLR 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset ICLR 2025 IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit ACL 2025 LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning CVPR 2025 Bayesian Design Principles for Offline-to-Online Reinforcement Learning ICML 2024 Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners ICML 2024 Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents ICML 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ICLR 2024 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NeurIPS 2023 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023 Unsupervised Behavior Extraction via Random Intent Priors NeurIPS 2023 What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023 Offline Reinforcement Learning with Value-based Episodic Memory ICLR 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 Optimizing Binary Decision Diagrams with MaxSAT for Classification AAAI 2022 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 On the Estimation Bias in Double Q-Learning NeurIPS 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