Jia Wu

42 papers · 2015–2026 · 7 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (15) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (27) 🤝 Dynamic Duo (11) 🔬 Deep Specialist (11) 🏆 Keyword Champion (2) ⚡ Prolific Year (6) 🔥 Unstoppable (5) ❓ The Questioner 🗃️ Keyword Collector (164) 📈 Trend Setter 💎 Century Club (40) 🚀 Conference Pioneer

Conferences

IJCAI (27) AAAI (6) NIPS (3) ACL (2) EMNLP (2) CVPR (1) MICCAI (1)

Top co-authors

Wenbin Hu (13) Jian Yang (9) Chuan Zhou (8) Shirui Pan (6) Hong Yang (5) Quan Z. Sheng (4) Xiantao Cai (4) Shan Xue (4) Kun Li (4) Jiameng Chen (3)

Research topics

Differential Privacy (1)

Keywords

graph neural network (10) node classification (5) representation learning (5) network embedding (3) large language model (3) graph embedding (3) social event detection (2) hyperbolic embedding (2) drug response prediction (2) social network analysis (2) knowledge graph (2) cross-domain recommendation (2) attention mechanism (2) graph pooling (2) variational inference (2) contrastive learning (2) transfer learning (2) domain adaptation (2) active learning (2) matrix factorization (2)

Papers

Can Molecular Evolution Mechanism Enhance Molecular Representation? AAAI 2026 Sequence-Free for Compound Protein Interaction Prediction AAAI 2026 Adversarial Attacks Against Automated Fact-Checking: A Survey EMNLP 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation IJCAI 2025 Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding IJCAI 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph IJCAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Text is All You Need: LLM-enhanced Incremental Social Event Detection ACL 2025 Explicit and Implicit Data Augmentation for Social Event Detection ACL 2025 Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders IJCAI 2024 Zero-shot Learning for Preclinical Drug Screening IJCAI 2024 Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification MICCAI 2024 MoCha-Stereo: Motif Channel Attention Network for Stereo Matching CVPR 2024 On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024 Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 Contrastive Learning Drug Response Models from Natural Language Supervision IJCAI 2024 Don't Ignore Alienation and Marginalization: Correlating Fraud Detection IJCAI 2023 Cross-Domain Facial Expression Recognition via Disentangling Identity Representation IJCAI 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Gapformer: Graph Transformer with Graph Pooling for Node Classification IJCAI 2023 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection NIPS 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 Temporal Network Embedding with High-Order Nonlinear Information AAAI 2020 A Knowledge-Aware Attentional Reasoning Network for Recommendation AAAI 2020 Graph Geometry Interaction Learning NIPS 2020 Deep Learning for Community Detection: Progress, Challenges and Opportunities IJCAI 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020 Opinion Maximization in Social Trust Networks IJCAI 2020 Noise-Resilient Similarity Preserving Network Embedding for Social Networks IJCAI 2019 CoTrRank: Trust Evaluation of Users and Tweets IJCAI 2019 Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs IJCAI 2019 Deep Active Learning for Anchor User Prediction IJCAI 2019 Active Discriminative Network Representation Learning IJCAI 2018 Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering IJCAI 2018 Recommendation with Multi-Source Heterogeneous Information IJCAI 2018 A Deep Framework for Cross-Domain and Cross-System Recommendations IJCAI 2018 Unsupervised Feature Learning from Time Series IJCAI 2016 Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness IJCAI 2016 Tri-Party Deep Network Representation IJCAI 2016 Semi-Data-Driven Network Coarsening IJCAI 2016 Multi-Graph-View Learning for Complicated Object Classification IJCAI 2015