← Authors

Jia Wu

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

Achievements

🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (27) 🀝 Dynamic Duo (11) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (164) πŸ“ˆ Trend Setter πŸ’Ž Century Club (40) πŸš€ 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