Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis. - Jicong Fan 001; Youqing Wang (Inf. Sci., 2014)

AutoEncoder based high-dimensional data fault detection system. - Jicong Fan 001; Wei Wang; Haijun Zhang 002 (INDIN, 2017)

Multi-label classification for images with missing labels. - Jianghong Ma; Jicong Fan 001; Wei Wang (INDIN, 2017)

Deep learning based matrix completion. - Jicong Fan 001; Tommy W. S. Chow (Neurocomputing, 2017)

Sparse subspace clustering for data with missing entries and high-rank matrix completion. - Jicong Fan 001; Tommy W. S. Chow (Neural Networks, 2017)

Matrix completion by least-square, low-rank, and sparse self-representations. - Jicong Fan 001; Tommy W. S. Chow (Pattern Recognit., 2017)

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. - Xiaotian Ma; Mingbo Zhao; Zhao Zhang 001; Jicong Fan 001; Choujun Zhan (PRICAI, 2018)

Matrix completion by deep matrix factorization. - Jicong Fan 001; Jieyu Cheng (Neural Networks, 2018)

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data. - Jicong Fan 001; Zhaoyang Tian; Mingbo Zhao; Tommy W. S. Chow (Neural Networks, 2018)

Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph. - Jicong Fan 001; Tommy W. S. Chow; Mingbo Zhao; John K. L. Ho (Neural Process. Lett., 2018)

Non-linear matrix completion. - Jicong Fan 001; Tommy W. S. Chow (Pattern Recognit., 2018)

Online High Rank Matrix Completion. - Jicong Fan 001; Madeleine Udell (CVPR, 2019)

Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. - Jicong Fan 001; Lijun Ding; Yudong Chen 001; Madeleine Udell (NeurIPS, 2019)

Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. - Xiaohang Jin; Jicong Fan 001; Tommy W. S. Chow (IEEE Trans. Instrum. Meas., 2019)

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. - Jicong Fan 001; Yuqian Zhang; Madeleine Udell (AAAI, 2020)

AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. - Chengrun Yang; Jicong Fan 001; Ziyang Wu; Madeleine Udell (KDD, 2020)

Centrality Graph Convolutional Networks for Skeleton-based Action Recognition. - Dong Yang; Monica Mengqi Li; Hong Fu; Jicong Fan 001; Howard Leung (CoRR, 2020)

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization. - Chengrun Yang; Jicong Fan 001; Ziyang Wu; Madeleine Udell (CoRR, 2020)

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles. - Lijun Ding; Jicong Fan 001; Madeleine Udell (CoRR, 2020)

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization. - Jicong Fan 001; Lijun Ding; Chengrun Yang; Madeleine Udell (CoRR, 2020)

k-Factorization Subspace Clustering. - Jicong Fan 001 (CoRR, 2020)

Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization. - Jicong Fan 001; Mingbo Zhao; Tommy W. S. Chow (IEEE Trans. Big Data, 2020)

Exactly Robust Kernel Principal Component Analysis. - Jicong Fan 001; Tommy W. S. Chow (IEEE Trans. Neural Networks Learn. Syst., 2020)

Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. - Jiahuan Ren; Zhao Zhang 001; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001; Meng Wang 001 (ICDM, 2021)

Large-Scale Subspace Clustering via k-Factorization. - Jicong Fan 001 (KDD, 2021)

Interactive Clothes Image Retrieval via Multi-modal Feature Fusion of Image Representation and Natural Language Feedback. - Xianrui Li; Yu Rong; Mingbo Zhao; Jicong Fan 001 (NCAA, 2021)

EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy. - Jicong Fan 001; Yiheng Tu; Zhao Zhang 001; Mingbo Zhao (CoRR, 2021)

A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement. - Mingbo Zhao; Jiao Liu; Zhao Zhang 001; Jicong Fan 001 (Knowl. Based Syst., 2021)

Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering. - Jicong Fan 001; Chengrun Yang; Madeleine Udell (IEEE Trans. Signal Process., 2021)

Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation. - Jicong Fan 001 (AAAI, 2022)

Efficient Deep Embedded Subspace Clustering. - Jinyu Cai; Jicong Fan 001; Wenzhong Guo; Shiping Wang; Yunhe Zhang 001; Zhao Zhang 001 (CVPR, 2022)

Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. - Yangcheng Gao; Zhao Zhang 001; Richang Hong; Haijun Zhang 002; Jicong Fan 001; Shuicheng Yan (ICDM, 2022)

FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. - Bo Wang 072; Zhao Zhang 001; Jicong Fan 001; Mingbo Zhao; Choujun Zhan; Mingliang Xu 001 (ICDM, 2022)

Multi-Mode Deep Matrix and Tensor Factorization. - Jicong Fan 001 (ICLR, 2022)

Fashion Image Search via Anchor-Free Detector. - Shanchuan Gao; Fankai Zeng; Lu Cheng 006; Jicong Fan 001; Mingbo Zhao (ICMR, 2022)

Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal. - Yanyan Wei; Zhao Zhang 001; Mingliang Xu 001; Richang Hong; Jicong Fan 001; Shuicheng Yan (ACM Multimedia, 2022)

Human-Centered Real-Time Instance Segmentation with Integration with Data Association and SOLO. - Lu Cheng 006; Mingbo Zhao; Jicong Fan 001 (NCAA (1), 2022)

Perturbation Learning Based Anomaly Detection. - Jinyu Cai; Jicong Fan 001 (NeurIPS, 2022)

A Simple Approach to Automated Spectral Clustering. - Jicong Fan 001; Yiheng Tu; Zhao Zhang 001; Mingbo Zhao; Haijun Zhang 002 (NeurIPS, 2022)

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization. - Yangcheng Gao; Zhao Zhang 001; Richang Hong; Haijun Zhang 002; Jicong Fan 001; Shuicheng Yan; Meng Wang 001 (CoRR, 2022)

Unsupervised Deep Discriminant Analysis Based Clustering. - Jinyu Cai; Wenzhong Guo; Jicong Fan 001 (CoRR, 2022)

Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data. - Jicong Fan 001; Tommy W. S. Chow; S. Joe Qin (IEEE Trans. Ind. Informatics, 2022)

Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. - Yawei Li 004; Zhao Zhang 001; Suiyi Zhao; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001 (ICDM, 2023)

Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing. - Yu Liu 030; Mingbo Zhao; Zhao Zhang 001; Jicong Fan 001; Yang Lou; Shuicheng Yan (ICLR, 2023)

FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design. - Han Yan; Haijun Zhang 002; Xiangyu Mu; Jicong Fan 001; Zhao Zhang 001 (ACM Multimedia, 2023)

InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation. - Han Yan; Haijun Zhang 002; Jie Hou; Jicong Fan 001; Zhao Zhang 001 (ACM Multimedia, 2023)

Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark. - Huan Zheng; Zhao Zhang 001; Jicong Fan 001; Richang Hong; Yi Yang 001; Shuicheng Yan (ACM Multimedia, 2023)

FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting. - Dongliang Zhou; Haijun Zhang 002; Jianghong Ma; Jicong Fan 001; Zhao Zhang 001 (ACM Multimedia, 2023)

Federated Spectral Clustering via Secure Similarity Reconstruction. - Dong Qiao; Chris Ding; Jicong Fan 001 (NeurIPS, 2023)

Lovász Principle for Unsupervised Graph Representation Learning. - Ziheng Sun; Chris Ding; Jicong Fan 001 (NeurIPS, 2023)

Graph Convolutional Kernel Machine versus Graph Convolutional Networks. - Zhihao Wu 002; Zhao Zhang 001; Jicong Fan 001 (NeurIPS, 2023)

Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. - Fangchen Yu; Runze Zhao; Zhan Shi; Yiwen Lu; Jicong Fan 001; Yicheng Zeng; Jianfeng Mao; Wenye Li 001 (NeurIPS, 2023)

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection. - Yunhe Zhang 001; Yan Sun; Jinyu Cai; Jicong Fan 001 (CoRR, 2023)

Restricted Generative Projection for One-Class Classification and Anomaly Detection. - Feng Xiao; Ruoyu Sun 001; Jicong Fan 001 (CoRR, 2023)

ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint. - Zhenhao Jiang; Biao Zeng; Hao Feng; Jin Liu; Jicong Fan 001; Jie Zhang; Jia Jia 006; Ning Hu; Xingyu Chen; Xuguang Lan (CoRR, 2023)

Self-Discriminative Modeling for Anomalous Graph Detection. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001 (CoRR, 2023)

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. - Jicong Fan 001; Lijun Ding; Chengrun Yang; Zhao Zhang 001; Madeleine Udell (Trans. Mach. Learn. Res., 2023)

Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence. - Jiahuan Ren; Zhao Zhang 001; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001; Meng Wang 001 (Knowl. Inf. Syst., 2023)

Long-range zero-shot generative deep network quantization. - Yan Luo 004; Yangcheng Gao; Zhao Zhang 001; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001 (Neural Networks, 2023)

Dense Projection for Anomaly Detection. - Dazhi Fu; Zhao Zhang 001; Jicong Fan 001 (AAAI, 2024)

DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model. - Zhenhao Jiang; Jicong Fan 001 (ICDM, 2024)

Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. - Jicong Fan 001; Rui Chen; Zhao Zhang 001; Chris Ding (ICLR, 2024)

MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy. - Yan Sun; Jicong Fan 001 (ICLR, 2024)

Deep Orthogonal Hypersphere Compression for Anomaly Detection. - Yunhe Zhang 001; Yan Sun; Jinyu Cai; Jicong Fan 001 (ICLR, 2024)

Learning Graph Representation via Graph Entropy Maximization. - Ziheng Sun; Xudong Wang; Chris Ding; Jicong Fan 001 (ICML, 2024)

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001; Yali Du 001; Wenzhong Guo (IJCAI, 2024)

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001; See-Kiong Ng (IJCAI, 2024)

Kernel Readout for Graph Neural Networks. - Jiajun Yu; Zhihao Wu 002; Jinyu Cai; Adele Lu Jia; Jicong Fan 001 (IJCAI, 2024)

Graph Classification via Reference Distribution Learning: Theory and Practice. - Zixiao Wang 009; Jicong Fan 001 (NeurIPS, 2024)

Unsupervised Anomaly Detection in The Presence of Missing Values. - Feng Xiao; Jicong Fan 001 (NeurIPS, 2024)

G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data. - Shuqing He; Jicong Fan 001; Tianwei Yu (Big Data Min. Anal., 2024)

Spectral Clustering for Discrete Distributions. - Zixiao Wang 009; Dong Qiao; Jicong Fan 001 (CoRR, 2024)

Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining. - Baiang Li; Zhao Zhang 001; Huan Zheng; Xiaogang Xu 002; Yanyan Wei; Jingyi Zhang; Jicong Fan 001; Meng Wang 001 (CoRR, 2024)

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection. - Ruituo Wu; Yang Chen; Jian Xiao; Bing Li 002; Jicong Fan 001; Frédéric Dufaux; Ce Zhu; Yipeng Liu 001 (CoRR, 2024)

K-means Derived Unsupervised Feature Selection using Improved ADMM. - Ziheng Sun; Chris Ding; Jicong Fan 001 (CoRR, 2024)

Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation. - Wei Dai; Kai Hwang 001; Jicong Fan 001 (CoRR, 2024)

Smooth Tensor Product for Tensor Completion. - Tongle Wu; Jicong Fan 001 (IEEE Trans. Image Process., 2024)

Wasserstein Embedding Learning for Deep Clustering: A Generative Approach. - Jinyu Cai; Yunhe Zhang 001; Shiping Wang; Jicong Fan 001; Wenzhong Guo (IEEE Trans. Multim., 2024)

Progressive Stereo Image Dehazing Network via Cross-View Region Interaction. - Junhu Wang; Yanyan Wei; Zhao Zhang 001; Jicong Fan 001; Yang Zhao 002; Yi Yang 001; Meng Wang 001 (IEEE Trans. Multim., 2024)

Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization. - Yan Sun; Yi Han; Jicong Fan 001 (ACM Trans. Knowl. Discov. Data, 2024)

FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement. - Zhao Zhang 001; Huan Zheng; Richang Hong; Jicong Fan 001; Yi Yang 001; Shuicheng Yan (IEEE Trans. Consumer Electron., 2024)

Deep graph-level clustering using pseudo-label-guided mutual information maximization network. - Jinyu Cai; Yi Han; Wenzhong Guo; Jicong Fan 001 (Neural Comput. Appl., 2024)

Low-Rank Tensor Completion Based on Self-Adaptive Learnable Transforms. - Tongle Wu; Bin Gao 003; Jicong Fan 001; Jize Xue; Wai Lok Woo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation. - Wei Dai; Kai Hwang 001; Jicong Fan 001 (AAAI, 2025)

Federated t-SNE and UMAP for Distributed Data Visualization. - Dong Qiao; Xinxian Ma; Jicong Fan 001 (AAAI, 2025)

Non-Convex Tensor Recovery from Local Measurements. - Tongle Wu; Ying Sun; Jicong Fan 001 (AAAI, 2025)

Multi-Subspace Matrix Recovery from Permuted Data. - Liangqi Xie; Jicong Fan 001 (AAAI, 2025)

AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection. - Wei Dai; Jicong Fan 001 (ICLR, 2025)

Unsupervised anomaly detection using inverse generative adversarial networks. - Feng Xiao; Jianfeng Zhou; Kunpeng Han; Haoyuan Hu; Jicong Fan 001 (Inf. Sci., 2025)

When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement. - Jiahuan Ren; Zhao Zhang 001; Suiyi Zhao; Jicong Fan 001; Zhongqiu Zhao; Yang Zhao 002; Richang Hong; Meng Wang 001 (Neural Networks, 2025)

Mutual Regression Distance. - Dong Qiao; Jicong Fan 001 (CoRR, 2025)

Generative adversarial learning for missing data imputation. - Xinyang Wang; Hongyu Chen; Jiayu Zhang; Jicong Fan 001 (Neural Comput. Appl., 2025)

Deep Learning Model Compression With Rank Reduction in Tensor Decomposition. - Wei Dai; Jicong Fan 001; Yiming Miao; Kai Hwang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Subject Information Extraction for Novelty Detection with Domain Shifts. - Yangyang Qu; Dazhi Fu; Jicong Fan 001 (CoRR, 2025)

Fairness-aware Anomaly Detection via Fair Projection. - Feng Xiao; Xiaoying Tang; Jicong Fan 001 (CoRR, 2025)

Learnable Kernel Density Estimation for Graphs. - Xudong Wang; Ziheng Sun; Chris Ding; Jicong Fan 001 (CoRR, 2025)

SelectQ: Calibration Data Selection for Post-training Quantization. - Zhao Zhang 001; Yangcheng Gao; Jicong Fan 001; Zhongqiu Zhao; Yi Yang 001; Shuicheng Yan (Mach. Intell. Res., 2025)

UniOD: A Universal Model for Outlier Detection across Diverse Domains. - Dazhi Fu; Jicong Fan 001 (CoRR, 2025)

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding. - Feng Xiao; Jicong Fan 001 (CoRR, 2025)

Adaptive Riemannian Graph Neural Networks. - Xudong Wang; Tongxin Li; Chris Ding; Jicong Fan 001 (CoRR, 2025)

GraphProp: Training the Graph Foundation Models using Graph Properties. - Ziheng Sun; Qi Feng; Lehao Lin; Chris Ding; Jicong Fan 001 (CoRR, 2025)

Dissecting vulnerability in information fusion process of Graph Convolutional Networks. - Shuman Zhuang; Zhihao Wu 003; Jicong Fan 001; Zhaoliang Chen; Jiali Yin; Wei Huang 013; Ximeng Liu (Inf. Fusion, 2026)