Jicong Fan
32 papers · 2019–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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(13)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Machine Learning
(29)
Core Methods
(26)
Deep Learning
(17)
Architectures
(15)
Learning Types Β· Machine Learning
(13)
Optimization & Theory
(9)
Computer Vision
(6)
Mathematics & Optimization
(6)
Learning Types Β· Deep Learning
(6)
Optimization
(6)
Analysis
(5)
Artificial Intelligence
(3)
Data Science & Analytics
(3)
Applications
(2)
Learning Paradigms
(2)
Keywords
graph neural network
(7)
anomaly detection
(6)
unsupervised learning
(6)
representation learning
(5)
neural network
(5)
matrix completion
(5)
decision boundary
(4)
graph classification
(4)
kernel methods
(4)
spectral clustering
(3)
federated learning
(3)
robust principal component analysis
(2)
non-convex optimization
(2)
maximum mean discrepancy
(2)
bayesian optimization
(2)
mutual information
(2)
subspace clustering
(2)
low-rank approximation
(2)
generalization error
(2)
graph clustering
(2)
Papers
Adaptive Riemannian Graph Neural Networks
AAAI 2026
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
ICLR 2025
Explainable Graph Representation Learning via Graph Pattern Analysis
IJCAI 2025
Federated t-SNE and UMAP for Distributed Data Visualization
AAAI 2025
Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering
ICML 2025
Multi-Subspace Matrix Recovery from Permuted Data
AAAI 2025
Non-Convex Tensor Recovery from Local Measurements
AAAI 2025
Self-Discriminative Modeling for Anomalous Graph Detection
ICML 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
AAAI 2025
Deep Orthogonal Hypersphere Compression for Anomaly Detection
ICLR 2024
Dense Projection for Anomaly Detection
AAAI 2024
Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment
IJCAI 2024
Graph Classification via Reference Distribution Learning: Theory and Practice
NeurIPS 2024
Kernel Readout for Graph Neural Networks
IJCAI 2024
Learning Graph Representation via Graph Entropy Maximization
ICML 2024
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
IJCAI 2024
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
ICLR 2024
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
ICLR 2024
Unsupervised Anomaly Detection in The Presence of Missing Values
NeurIPS 2024
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
ICLR 2023
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
NeurIPS 2023
Federated Spectral Clustering via Secure Similarity Reconstruction
NeurIPS 2023
Graph Convolutional Kernel Machine versus Graph Convolutional Networks
NeurIPS 2023
LovΓ‘sz Principle for Unsupervised Graph Representation Learning
NeurIPS 2023
A Simple Approach to Automated Spectral Clustering
NeurIPS 2022
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation
AAAI 2022
Efficient Deep Embedded Subspace Clustering
CVPR 2022
Multi-Mode Deep Matrix and Tensor Factorization
ICLR 2022
Perturbation Learning Based Anomaly Detection
NeurIPS 2022
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
AAAI 2020
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
NeurIPS 2019
Online High Rank Matrix Completion
CVPR 2019