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Leong Hou U

16 papers · 2017–2026 · 4 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ† Keyword Champion (2)
πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (76) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (6) πŸ“ˆ Trend Setter

Venues

AAAI (8) IJCAI (4) NeurIPS (3) ICLR (1)

Top co-authors

Yiming Wang (7) Kaiyan Zhao (6) Yan Li (5) Shenghui Zhang (4) Rongqin Chen (3) Furui Liu (3) Pak Lon Ip (2) Ye Li (2) Ming Yang (2) Jiayu Chen (2)

Research topics

Machine Learning (10) Deep Learning (8) Reinforcement Learning (7) Methods (7) Core Methods (6) Artificial Intelligence (5) Architectures (5) Core AI (5) Learning Types Β· Deep Learning (4) Optimization & Theory (4) Mathematics & Optimization (3) Learning Types Β· Machine Learning (3) Application Areas (2) Applications (2) Optimization (2)

Keywords

graph neural network (4) representation learning (4) reinforcement learning (3) deep reinforcement learning (3) exploration bonus (3) message passing (2) bisimulation metric (2) state discrepancy (2) graph transformer (2) intrinsic reward (2) sample efficiency (2) state representation (1) state abstraction (1) weisfeiler-lehman test (1) continuous control (1) metric learning (1) graph representation (1) variational autoencoder (1) policy learning (1) diffusion model (1)

Papers

Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency AAAI 2026 DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning AAAI 2026 Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control AAAI 2026 Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning AAAI 2026 Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026 Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification AAAI 2026 App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation IJCAI 2025 Balancing Bias in Two-sided Markets for Fair Stable Matchings ICLR 2025 BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning IJCAI 2025 Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025 Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification AAAI 2025 A Computation-Aware Shape Loss Function for Point Cloud Completion AAAI 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Redundancy-Free Message Passing for Graph Neural Networks NeurIPS 2022 A Robust Noise Resistant Algorithm for POI Identification from Flickr Data IJCAI 2017