Jicong Fan

Orcid: 0000-0001-9665-0355

Affiliations:
  • Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China
  • Shenzhen Research Institute of Big Data, China
  • Cornell University, Ithaca, NY, USA (2018 - 2020)
  • City University of Hong Kong, Department of Electronic Engineering, Hong Kong (PhD 2018)
  • Beijing University of Chemical Technology, College of Information Science and Technology, China (former)


According to our database1, Jicong Fan authored at least 80 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Unsupervised anomaly detection using inverse generative adversarial networks.
Inf. Sci., 2025

2024
Low-Rank Tensor Completion Based on Self-Adaptive Learnable Transforms.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Deep graph-level clustering using pseudo-label-guided mutual information maximization network.
Neural Comput. Appl., June, 2024

FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement.
IEEE Trans. Consumer Electron., February, 2024

Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization.
ACM Trans. Knowl. Discov. Data, January, 2024

Progressive Stereo Image Dehazing Network via Cross-View Region Interaction.
IEEE Trans. Multim., 2024

Wasserstein Embedding Learning for Deep Clustering: A Generative Approach.
IEEE Trans. Multim., 2024

Smooth Tensor Product for Tensor Completion.
IEEE Trans. Image Process., 2024

DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model.
CoRR, 2024

Graph Classification via Reference Distribution Learning: Theory and Practice.
CoRR, 2024

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection.
CoRR, 2024

Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining.
CoRR, 2024

Spectral Clustering for Discrete Distributions.
CoRR, 2024

Kernel Readout for Graph Neural Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Graph Representation via Graph Entropy Maximization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Orthogonal Hypersphere Compression for Anomaly Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dense Projection for Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Long-range zero-shot generative deep network quantization.
Neural Networks, September, 2023

Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence.
Knowl. Inf. Syst., March, 2023

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.
Trans. Mach. Learn. Res., 2023

Self-Discriminative Modeling for Anomalous Graph Detection.
CoRR, 2023

ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint.
CoRR, 2023

Restricted Generative Projection for One-Class Classification and Anomaly Detection.
CoRR, 2023

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection.
CoRR, 2023

Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Convolutional Kernel Machine versus Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lovász Principle for Unsupervised Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Spectral Clustering via Secure Similarity Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data.
IEEE Trans. Ind. Informatics, 2022

Unsupervised Deep Discriminant Analysis Based Clustering.
CoRR, 2022

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization.
CoRR, 2022

A Simple Approach to Automated Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Perturbation Learning Based Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Human-Centered Real-Time Instance Segmentation with Integration with Data Association and SOLO.
Proceedings of the Neural Computing for Advanced Applications, 2022

Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Fashion Image Search via Anchor-Free Detector.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Multi-Mode Deep Matrix and Tensor Factorization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization.
Proceedings of the IEEE International Conference on Data Mining, 2022

Efficient Deep Embedded Subspace Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering.
IEEE Trans. Signal Process., 2021

A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement.
Knowl. Based Syst., 2021

EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy.
CoRR, 2021

Interactive Clothes Image Retrieval via Multi-modal Feature Fusion of Image Representation and Natural Language Feedback.
Proceedings of the Neural Computing for Advanced Applications, 2021

Large-Scale Subspace Clustering via k-Factorization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Exactly Robust Kernel Principal Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2020

Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization.
IEEE Trans. Big Data, 2020

k-Factorization Subspace Clustering.
CoRR, 2020

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization.
CoRR, 2020

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles.
CoRR, 2020

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.
CoRR, 2020

Centrality Graph Convolutional Networks for Skeleton-based Action Recognition.
CoRR, 2020

AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods.
IEEE Trans. Instrum. Meas., 2019

Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online High Rank Matrix Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Non-linear matrix completion.
Pattern Recognit., 2018

Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph.
Neural Process. Lett., 2018

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.
Neural Networks, 2018

Matrix completion by deep matrix factorization.
Neural Networks, 2018

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

2017
Matrix completion by least-square, low-rank, and sparse self-representations.
Pattern Recognit., 2017

Sparse subspace clustering for data with missing entries and high-rank matrix completion.
Neural Networks, 2017

Deep learning based matrix completion.
Neurocomputing, 2017

Multi-label classification for images with missing labels.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

AutoEncoder based high-dimensional data fault detection system.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

2014
Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis.
Inf. Sci., 2014


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