Jicong Fan

Jicong Fan

Assistant Professor, CUHK-Shenzhen

Publications

  1. Tongle Wu, Jicong Fan*. Smooth Tensor Product for Tensor Completion. Accepted by IEEE Transactions on Image Processing, 2024.

  2. Xinyang Wang, Hongyu Chen, Jiayu Zhang, Jicong Fan*. Generative Adversarial Learning for Missing Data Imputation. Accepted by Neural Computing and Applications, 2024.

  3. Zixiao Wang, Jicong Fan*. Graph Classification via Reference Distribution Learning: Theory and Practice. Accepted by NeurIPS 2024.

  4. Feng Xiao, Jicong Fan*. Unsupervised Anomaly Detection in The Presence of Missing Values. Accepted by NeurIPS 2024.

  5. Zhenhao Jiang, Jicong Fan*. DifFaiRec: Generative Fair Recommender with Conditional Diffusion Mode. Accepted by ICDM 2024.

  6. Feng Xiao, Jianfeng Zhou, Kunpeng Han, Haoyuan Hu, Jicong Fan*. Unsupervised Anomaly Detection Using Inverse Generative Adversarial Network. Accepted by Information Sciences, 2024.

  7. Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan*. Learning Graph Representation via Graph Entropy Maximization. ICML 2024.

  8. Jiajun Yu, Zhihao Wu, Adele Jia*, Jinyu Cai, Jicong Fan*. Kernel Readout for Graph Neural Networks. IJCAI 2024.

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

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

  11. Jinyu Cai, Yi Han, Wenzhong Guo*, Jicong Fan*. Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network. Neural Computing and Applications. 2024.

  12. Yan Sun, Jicong Fan*. MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy. ICLR 2024 (Spotlight, 5% acceptance rate).

  13. Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan*. Deep Orthogonal Hypersphere Compression for Anomaly Detection. ICLR 2024 (Spotlight, 5% acceptance rate).

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

  15. Lei Zhao, Jiao Liu, Wenhui Zhao, Jie Chen, Jicong Fan, Tian Ge, Yiheng Tu. Morphological and genetic decoding shows heterogeneous patterns of brain aging in chronic musculoskeletal pain. Nature Mental Health. 2024.

  16. Shuqing He, Jicong Fan*, Tianwei Yu*. G3DC: a Gene-Graph-Guided selective Deep Clustering method for single-cell RNA-seq data. Accepted by Big Data Mining and Analytics. 2024. 10.26599/BDMA.2024.9020011

  17. Dazhi Fu, Zhao Zhang, Jicong Fan*. Dense projection for Anomaly Detection. AAAI 2024.

  18. Ziheng Sun, Chris Ding, Jicong Fan*. Lovász Principle for Unsupervised Graph Representation Learning. NeurIPS 2023.

  19. Zhihao Wu, Zhao Zhang, Jicong Fan*. Graph Convolutional Kernel Machine versus Graph Convolutional Networks. NeurIPS 2023.

  20. Dong Qiao, Chris Ding, Jicong Fan*. Federated Spectral Clustering via Secure Similarity Reconstruction. NeurIPS 2023.

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

  22. Wei Dai, Jicong Fan, Yiming Miao, Kai Hwang. Deep Learning Model Compression with Rank Reduction in Tensor Decomposition. Accepeted by IEEE TNNLS, 2023.

  23. Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell. Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. Transactions on Machine Learning Research. January 2023.

  24. Yan Sun, Yi Han, Jicong Fan*. Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization. ACM Transactions on Knowledge Discovery from Data. 2023.

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

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

  27. Han Yan, Haijun Zhang, Xiangyu Mu, Jicong Fan, Zhao Zhang. FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design. ACM Multimedia 2023.

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

  29. Yan Luo, Yangcheng Gao, Zhao Zhang*, Jicong Fan*, Haijun Zhang, Mingliang Xu. Long-range zero-shot generative deep network quantization. Neural Networks, 2023,166:683-691.

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

  31. Tongle Wu, Bin Gao, Jicong Fan, Jize Xue, and W. L. Woo. Low-Rank Tensor Completion Based on Self-Adaptive Learnable Transforms. 2022. Accepted by IEEE TNNLS.

  32. Jicong Fan. Multi-Mode Deep Matrix and Tensor Factorization. ICLR 2022.

  33. Jicong Fan. Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation. In The Thirty-Six AAAI Conference on Artificial Intelligence (AAAI-22), February 2022. (acceptance rate=15%).

  34. Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang. A Simple Approach to Automated Spectral Clustering. NeurIPS 2022.

  35. Jinyu Cai, Jicong Fan*. Perturbation Learning Based Anomaly Detection. NeurIPS 2022.

  36. Jicong Fan*, Tommy WS Chow, S Joe Qin. Kernel Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data. IEEE Transactions on Industrial Informatics, vol. 18, no.7, pp. 4477-4487, July 2022.

  37. Junling Gao, Hang Kin Leung, Jicong Fan, Bonnie Wai Yan Wu, Hin Hung Sik. The neurophysiology of the intervention strategies of Awareness Training Program on emotion regulation. Frontiers in Psychology, 2022.07.

  38. Wang Bo, Zhang Zhao, Jicong Fan, Mingbo Zhao, and Mingliang Xu. FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. ICDM 2022.

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

  40. Shanchuan Gao, Fankai Zeng, Lu Cheng, Jicong Fan, Mingbo Zhao. Fashion Image Search via Anchor-Free Detector. In Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR’22).

  41. Jinyu Cai, Jicong Fan*, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang. Efficient Deep Embedded Subspace Clustering. CVPR 2022.

  42. Jicong Fan. Large-Scale Subspace Clustering via k-Factorization. KDD’21 (The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining). 2021. (acceptance rate=15.4%).

  43. Jicong Fan*, Chengrun Yang, Madeleine Udell. Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering. IEEE Transactions on Signal Processing, 2021(69): 1755-1770.

  44. Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, and Meng Wang. Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. ICDM’21 (21st IEEE International Conference on Data Mining). 2021. (acceptance rate=9.9%, regular paper).

  45. M. Zhao, J. Liu, Z. Zhang, J. Fan. A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement. Knowledge-based systems, 2021(212): 106505.

  46. Chengrun Yang, Jicong Fan, Ziyang Wu and Madeleine Udell. AutoML Pipeline Selection: Efficient Navigation of the Combinatorial Space. KDD’20 (The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining). 2020. (acceptance rate=16.9%).

  47. Jicong Fan, Yuqian Zhang, Madeleine Udell. Polynomial matrix completion for missing data imputation and transductive learning. In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), February 2020. Oral Presentation (acceptance rate=6%).

  48. Jicong Fan, Tommy W.S. Chow*. Exactly robust kernel principal component analysis. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(3):749-761.

  49. Jicong Fan*, Mingbo Zhao, Tommy W.S. Chow. Matrix completion by sparse factorization solved by accelerated proximal alternating linearized minimization. IEEE Transactions on Big Data, 2020, 6(1):119-130.

  50. Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell. Factor group sparse regularization for efficient low-rank matrix recovery. In The Thirty-third Conference on Neural Information Processing Systems (NeurIPS), December 2019. (acceptance rate=21.1%).

  51. Jicong Fan, Madeleine Udell. Online high-rank matrix completion. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019. Oral Presentation (acceptance rate=5.6%).

  52. Xiaohang Jin, Jicong Fan*, Tommy W.S. Chow. Fault detection for bearings using multivariate statistical process control. IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 9, pp. 3128-3136, Sept. 2019.

  53. Jicong Fan*, Zhaoyang Tian, Mingbo Zhao, Tommy W.S. Chow. Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data. Neural Networks, 2018, 100: 39-48.

  54. Jicong Fan*, Jieyu Cheng. Matrix completion by deep matrix factorization. Neural Networks, 2018, 98: 34-41.

  55. Jicong Fan, Tommy W.S. Chow, Mingbo Zhao, John K.L. Ho. Nonlinear dimensionality reduction for data with disconnected neighborhood graph. Neural Processing Letters, 2018, 47: 697–716.

  56. Jicong Fan, Tommy W.S. Chow*. Nonlinear matrix completion. Pattern Recognition, 2018, 77: 378-394.

  57. Jicong Fan, Tommy W.S. Chow*. Matrix completion by least-square, low-rank, and sparse self-representations. Pattern Recognition, 2017, 71: 290-305.

  58. Jicong Fan*, Tommy W.S. Chow. Deep learning based matrix completion. Neurocomputing, 2017, 266: 540-549.

  59. Jicong Fan, Tommy W.S. Chow*. Sparse subspace clustering for data with missing entries and high-rank matrix completion. Neural Networks, 2017, 93: 36-44.

  60. Jicong Fan, Wei Wang, Haijun Zhang. AutoEncoder based High-dimensional Data Fault Detection System. IEEE 15-th International Conference on Industrial Informatics, INDIN 2017, pp.1001-1006, Emden, Germany.

  61. Junling Gao, Jicong Fan, Bonnie Wai Yan Wu, Zhiguo Zhang, Chunqi Chang, Yeung-Sam Hung, Peter Chin Wan Fung, Hin hung Sik. Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. Neuroscience letters, 2016, 616: 218-223.

  62. Junling Gao, Jicong Fan, Bonnie W Wu, Georgios T Halkias, Maggie Chau, Peter C Fung, Chunqi Chang, Zhiguo Zhang, Yeung-Sam Hung, Hinhung Sik. Repetitive religious chanting modulates the late-stage brain response to fear-and stress-provoking pictures. Frontiers in Psychology, 2016, 7: 2055.

  63. Jicong Fan, RT Cheung, LW Chu, Peter Chin Wan Fung, CQ Chang, HH Sik, MM Zhang, BJ Xie, Yeung Sam Hung, JL Gao. Age-related changes of EEG and its source in resting state. International Conference on Digital Signal Processing, 2014, Hong Kong.

  64. Jicong Fan, Youqing Wang. Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis. Information Sciences, 2014, 259: 369-379.

  65. Jicong Fan, S. Joe Qin, Youqing Wang. Online monitoring of nonlinear multivariate industrial process using filtering KICA-PCA. Control Engineering Practice, 2014, 22: 205-216.

  66. Youqing Wang, Jicong Fan Yuan Yao. Online monitoring of multivariate processes using higher-order cumulants analysis. Industrial and Engineering Chemistry Research. 2014, 53 (11): 4328-4338.

  67. Jicong Fan, Youqing Wang, S. Joe Qin. Combined indices for ICA and their applications to multivariate process fault diagnosis. Acta Automatic Sinica, 2013, 39(5): 494-501.