Chuan Zhou
30 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(24)
Deep Learning
(15)
Architectures
(14)
Core Methods
(14)
Artificial Intelligence
(10)
Learning Types
(7)
Core AI
(5)
Optimization & Theory
(5)
Application Areas
(4)
Learning Paradigms
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Keywords
graph neural network
(9)
node classification
(7)
contrastive learning
(3)
graph embedding
(3)
network embedding
(3)
link prediction
(3)
causal inference
(2)
active learning
(2)
graph representation learning
(2)
test-time adaptation
(2)
anomaly detection
(1)
transfer learning
(1)
variational inference
(1)
matrix factorization
(1)
reinforcement learning
(1)
spectral clustering
(1)
collaborative filtering
(1)
domain generalization
(1)
privacy attack
(1)
logical reasoning
(1)
Papers
CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
ACL 2026
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
AAAI 2026
Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation
AAAI 2026
Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract)
AAAI 2026
Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
AAAI 2026
Conformal Anomaly Detection in Event Sequences
ICML 2025
Mitigating Spurious Correlations via Counterfactual Contrastive Learning
EMNLP 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers
IJCAI 2025
Test-Time Graph Neural Dataset Search With Generative Projection
ICML 2025
Deep Reinforcement Learning for Early Diagnosis of Lung Cancer
AAAI 2024
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
ICML 2024
Neural Jump-Diffusion Temporal Point Processes
ICML 2024
Phased Instruction Fine-Tuning for Large Language Models
ACL 2024
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
NeurIPS 2023
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
NeurIPS 2022
Pseudo-Riemannian Graph Convolutional Networks
NeurIPS 2022
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
IJCAI 2021
Deep Learning for Community Detection: Progress, Challenges and Opportunities
IJCAI 2020
Discrete Embedding for Latent Networks
IJCAI 2020
Graph Geometry Interaction Learning
NeurIPS 2020
Graph Neural Architecture Search
IJCAI 2020
Graph Stochastic Neural Networks for Semi-supervised Learning
NeurIPS 2020
GSSNN: Graph Smoothing Splines Neural Networks
AAAI 2020
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
IJCAI 2020
Deep Active Learning for Anchor User Prediction
IJCAI 2019
Low-Bit Quantization for Attributed Network Representation Learning
IJCAI 2019
Active Discriminative Network Representation Learning
IJCAI 2018
Recommendation with Multi-Source Heterogeneous Information
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