zhihao wu

28 papers · 2023–2026 · 5 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5)

🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (4) 🔬 Deep Specialist (11) 🏆 Keyword Champion (2) ⚡ Prolific Year (10) 💎 Century Club (21) 🗃️ Keyword Collector (126)

Conferences

AAAI (15) IJCAI (6) NIPS (3) CVPR (2) ICLR (2)

Top co-authors

Chengliang Liu (5) Jiajun Yu (5) Yong Xu (5) Jielong Lu (5) Jie Wen (5) Haishuai Wang (5) Xiaoling Luo (4) Chao Huang (3) Jinyu Cai (3) Shuman Zhuang (3)

Research topics

Privacy (1)

Keywords

graph neural network (10) representation learning (8) contrastive learning (5) multi-view learning (4) mixture of expert (3) node classification (3) multi-view clustering (3) disease classification (2) graph convolutional network (2) mutual information (2) node embedding (2) visual reinforcement learning (2) graph learning (2) graph contrastive learning (2) medical imaging (2) self-supervised learning (2) attention mechanism (2) sample efficiency (2) low-rank approximation (2) view-specific representation (2)

Papers

AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search AAAI 2026 Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026 Unifying Multi-View Knowledge for Graph Learning via Model Collaboration AAAI 2026 Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026 MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning AAAI 2026 Incomplete Multi-view Diabetic Retinopathy Grading via Self-Supervised Inter- and Intra-View Restoration AAAI 2026 Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis AAAI 2026 SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION ICLR 2025 MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement AAAI 2025 Mixture of Experts as Representation Learner for Deep Multi-View Clustering AAAI 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent ICLR 2025 A Centrality-based Graph Learning Framework IJCAI 2025 Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors IJCAI 2025 Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis IJCAI 2025 Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations IJCAI 2025 Kernel Readout for Graph Neural Networks IJCAI 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024 OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition CVPR 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering CVPR 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NIPS 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023 Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks AAAI 2023 Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023 Graph Convolutional Kernel Machine versus Graph Convolutional Networks NIPS 2023