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Jicong Fan

32 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ ๐Ÿƒ Academic Marathon (6) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿงญ Keyword Pioneer ๐ŸŒ Conference Polyglot (6) ๐Ÿ Cross-Pollinator (12)
๐ŸŒˆ Renaissance Researcher (6) ๐ŸŒ Conference Polyglot (6) ๐Ÿƒ Academic Marathon (6) ๐Ÿบ Lone Wolf (3) ๐Ÿ‘‘ Triple Crown ๐Ÿ† Grand Slam ๐Ÿ’Ž Century Club (31) ๐Ÿ—ƒ๏ธ Keyword Collector (112) โšก Prolific Year (5) ๐Ÿ“ˆ Trend Setter ๐Ÿ”ฅ Unstoppable (5)

Conferences

NIPS (9) AAAI (8) ICLR (6) IJCAI (4) ICML (3) CVPR (2)

Top co-authors

Jinyu Cai (7) Chris Ding (6) Zhao Zhang (6) Yunhe Zhang (5) Ziheng Sun (3) Xudong Wang (3) Madeleine Udell (3) zhihao wu (2) Dong Qiao (2) Mingbo Zhao (2)

Keywords

graph neural network (6) unsupervised learning (5) anomaly detection (4) representation learning (4) matrix completion (4) kernel methods (4) spectral clustering (3) graph classification (3) neural network (3) federated learning (3) self-expressive model (2) robust principal component analysis (2) subspace clustering (2) deep neural network (2) graph representation learning (2) low-rank approximation (2) decision boundary (2) matrix factorization (1) graph laplacian (1) compressed sensing (1)

Papers

Adaptive Riemannian Graph Neural Networks AAAI 2026 Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025 Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025 Non-Convex Tensor Recovery from Local Measurements AAAI 2025 Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025 AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection ICLR 2025 Self-Discriminative Modeling for Anomalous Graph Detection ICML 2025 Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering ICML 2025 Deep Orthogonal Hypersphere Compression for Anomaly Detection ICLR 2024 Unsupervised Anomaly Detection in The Presence of Missing Values NIPS 2024 Dense Projection for Anomaly Detection AAAI 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 Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment IJCAI 2024 Graph Classification via Reference Distribution Learning: Theory and Practice NIPS 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 Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing ICLR 2023 Graph Convolutional Kernel Machine versus Graph Convolutional Networks NIPS 2023 Lovรกsz Principle for Unsupervised Graph Representation Learning NIPS 2023 Federated Spectral Clustering via Secure Similarity Reconstruction NIPS 2023 Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning NIPS 2023 A Simple Approach to Automated Spectral Clustering NIPS 2022 Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022 Multi-Mode Deep Matrix and Tensor Factorization ICLR 2022 Efficient Deep Embedded Subspace Clustering CVPR 2022 Perturbation Learning Based Anomaly Detection NIPS 2022 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020 Online High Rank Matrix Completion CVPR 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NIPS 2019