Chuan Zhou

30 papers · 2015–2026 · 6 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)

🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🤝 Dynamic Duo (13) 🔥 Unstoppable (8) 💎 Century Club (25) 📈 Trend Setter ⚡ Prolific Year (7) 🗃️ Keyword Collector (116)

Conferences

IJCAI (12) AAAI (6) NIPS (5) ICML (4) ACL (2) EMNLP (1)

Top co-authors

Shirui Pan (15) Jia Wu (8) Hong Yang (7) Peng Zhang (6) Li Gao (4) Xixun Lin (4) Yue Hu (4) Yanan Cao (3) Shichao Zhu (3) SHUAI ZHANG (3)

Keywords

graph neural network (8) node classification (6) network embedding (3) graph embedding (3) link prediction (3) contrastive learning (3) causal inference (2) active learning (2) graph representation learning (2) anomaly detection (1) transfer learning (1) variational inference (1) reinforcement learning (1) matrix factorization (1) spectral clustering (1) domain generalization (1) privacy attack (1) collaborative filtering (1) self-supervised learning (1) logical reasoning (1)

Papers

Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation AAAI 2026 CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems ACL 2026 Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract) AAAI 2026 Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time AAAI 2026 Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 Mitigating Spurious Correlations via Counterfactual Contrastive Learning EMNLP 2025 Conformal Anomaly Detection in Event Sequences ICML 2025 Test-Time Graph Neural Dataset Search With Generative Projection ICML 2025 Deep Reinforcement Learning for Early Diagnosis of Lung Cancer AAAI 2024 Phased Instruction Fine-Tuning for Large Language Models ACL 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Neural Jump-Diffusion Temporal Point Processes ICML 2024 GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels NIPS 2023 Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection NIPS 2022 Pseudo-Riemannian Graph Convolutional Networks NIPS 2022 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021 Graph Geometry Interaction Learning NIPS 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020 GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020 Discrete Embedding for Latent Networks IJCAI 2020 Graph Neural Architecture Search IJCAI 2020 Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning IJCAI 2020 Deep Learning for Community Detection: Progress, Challenges and Opportunities IJCAI 2020 Low-Bit Quantization for Attributed Network Representation Learning IJCAI 2019 Deep Active Learning for Anchor User Prediction IJCAI 2019 Recommendation with Multi-Source Heterogeneous Information IJCAI 2018 Active Discriminative Network Representation Learning IJCAI 2018 Semi-Data-Driven Network Coarsening IJCAI 2016 Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation IJCAI 2015