Welcome to Dr. CHUNG Fu-Lai (Korris)'s Page!

Chung, Fu-lai Korris, Ph.D.

Associate Professor

Department of Computing
Hong Kong Polytechnic University

Office: PQ805, HKPolyU

Email: cskchung [at] comp.polyu.edu.hk
Phone: (852) 2766-7289


Research Interests: Machine Learning, Data Mining, Big Data Analytics,

Computational Intelligence, Computational Creativity, AI




Upon receiving my M.Phil. and Ph.D. degrees from the Chinese University of Hong Kong and a B.Sc. degree from the University of Manitoba, I joined the Department of Computing, Hong Kong Polytechnic University and is now an associate professor. My primary research interests are in the study of intelligence, learning and recognition and their applications to a wide spectrum of tasks which involves text data (social media), time series data, multimedia data, social network data, bioinformatics data, etc. I published over 100 journal papers in major international journals, including IEEE TFS, IEEE TNNLS, IEEE TEC, IEEE T-Cybernetics, IEEE TKDE, Pattern Recognition and Neural Networks. I also serve on program committees of top international conferences, including IEEE ICDM, AAAI and ICPR.



Please contact me for the Hong Kong PhD Fellowship scheme's application details if you are interested in my research areas.


Research Interests & Publications

Currently, I'm working on deep transfer learning, adversarial learning, feature learning, social network analysis and mining, big data analytics and computational creativity. Here is a selected list of my recent journal and conference publications and my Google scholar profile can be found here.


Newly accepted/published papers:

Sitong Mao, Xiao Shen, and Fu-lai Chung, 'Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance,' to appear in Proceedings of the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'18), 2018.

Wenhao Jiang, Hongchang Gao, Wei Lu, Wei Liu, Fu-lai Chung, and Heng Huang, 'Stacked Robust Adaptively Regularized Auto-regressions for Domain Adaptation,' to appear in IEEE Trans. on Knowledge and Data Engineering, 2018.

Wenhao Jiang, Wei Lu, and Fu-lai Chung, Knowledge Transfer for Spectral Clustering,” Pattern Recognition, vol.81, pp.484-496, 2018.

Xiao Shen and Fu-lai Chung, 'Deep Network Embedding with Aggregated Proximity Preserving,' Proceedings of the IEEE/ACM Int. Conf. on Social Network Analysis and Mining (ASONAM’17), pp.40-43, 2017.

Xiao Shen, Fu-lai Chung, and Sitong Mao, 'Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization,' Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'17), 2017

Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-lai Chung, Heng Huang, 'Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning,' Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.

Wei Lu, Fu-lai Chung, and Kunfeng Lai, 'Scarce Feature Topic Mining for Video Recommendation,' Proceedings of the 25th ACM Int. Conf. on Information and Knowledge Management (CIKM'16), Indianapolis, Indiana, USA: ACM, pp.1993-1996, 2016.

Wei Lu and Fu-lai Chung, 'Computational Creativity Based Video Recommendation,' Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'16), Pisa, Italy: ACM, pp.793-796, 2016.

Wenhao Jiang, Hongchang Gao, Fu-lai Chung, Heng Huang, 'The L2,1-Norm Stacked Robust Autoencoders for Domain Adaptation,' Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), pp.1723-1729, 2016.

Yumeng Guo, Fu-lai Chung, Guozheng Li, “An Ensemble Embedded Feature Selection Method for Multi-label Clinical Text Classification,” Proceedings of BIBM 2016, pp.823-826, 2016.

Wei Lu, Fu-lai Chung, Kunfeng Lai, Liang Zhang, “Recommender System Based on Scarce Information Mining,” Neural Networks, vol.93, pp.256-266, Sept. 2017.

Y. Jiang, Z. Deng, F.L. Chung, G. Wang, P. Qian, K.S. Choi, and S. Wang, “Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System,” IEEE Trans. on Fuzzy Systems, vol.25, no.1, Feb. 2017.

Xiaoqing Gu, Fu-lai Chung, and Shitong Wang, 'Bayesian Takagi-Sugeno-Kang Fuzzy Classifier,' IEEE Trans. on Fuzzy Systems, vol.25, no.6, pp.1655-1671, Oct. 2017.

Ta Zhou, Fu-lai Chung, and Shitong Wang, 'Deep TSK Fuzzy Classifier with Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data,' IEEE Trans. on Fuzzy Systems, vol.25, no.5, pp.1207-1221, Oct. 2017.

Zhaohong Deng, Yizhang Jiang, Fu-Lai Chung, Hisao Ishibuchi, Kup-Sze Choi, Shitong Wang, 'Transfer Prototype-based Fuzzy Clustering,' IEEE Trans. on Fuzzy Systems, vol.24, no.5, Oct. 2016.

Wenlong Hang, Fu-Lai Chung, Shitong Wang, 'Transfer Affinity Propagation-based Clustering,' Information Science, vol.348, pp.337-356, June 2016.

J. Wang, Z. Deng, K.S. Choi, Y. Jiang, X. Luo, F.L. Chung, Shitong Wang, 'Distance Metric Learning for Soft Subspace Clustering in Composite Kernel Space,' Pattern Recognition, vol.52, pp.113-134, April 2016.

C. Huang, Fu-lai Chung, and Shitong Wang, 'Multi-view L2-SVM and Its Multi-view Core Vector Machine,' Neural Networks, vol.75, pp.110-125, 2016.


Some other recent papers:

Tongguang Ni, Fu-Lai Chung, Shitong Wang, 'Support Vector Machine with Manifold Regularization and Partially Labeling Privacy Protection, ' Information Science, vol.294, pp.390-407, Feb 2015.

Yizhang Jiang, Fu-lai Chung, Shitong Wang, Zhaohong Deng, Jun Wang, and Pengjiang Qian, 'Collaborative Fuzzy Clustering From Multiple Weighted Views,' IEEE Trans. on Cybernetics, vol.45, no.4, pp.688-701, April 2015.

Yingzhong Shi, Fu-lai Chung, Shitong Wang, 'An Improved TA-SVM Method Without Matrix Inversion and Its Fast Implementation for Nonstationary Datasets,' IEEE Trans. on Neural Networks and Learning Systems, vol.26, no.9, pp.2005-2018, 2015.

Terrence Leung and Fu-lai Chung, 'Persuasion Driven Influence Propagation in Social Networks, ' Proc. of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), Beijing, China August 17-20, 2014

Wenhao Ying, Fu-lai Chung, and Shitong Wang, 'Scaling Up Synchronization-Inspired Partitioning Clustering, ' IEEE Trans. on Knowledge and Data Engineering, vol.26, no.8, pp.2045-2057, Aug 2014.

Shitong Wang, Jun Wang, and Fu-lai Chung, 'Kernel Density Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets,' IEEE Trans. on Cybernetics, vol.44, no.1, January 2014.

Wenhao Jiang and Fu-lai Chung, 'A Trace Ratio Maximization Approach to Multiple Kernel-Based Dimensionality Reduction,' Neural Networks, vol.49, pp.96-106, Jan 2014.

Zhaohong Deng, Yizhang Jiang, Kup-Sze Choi, Fu-Lai Chung, Shitong Wang, 'Knowledge-Leverage Based TSK Fuzzy System Modeling,' IEEE Trans. on Neural Networks and Learning Systems, vol.24, no.8, pp.1200-1212, 2013.

Jun Wang, Fu-lai Chung, Shitong Wang, and Wenhao Ying, 'Weighted Spherical 1-Mean with Phase Shift and Its Application in ECG Discord Detection,' AI in Medicine, vol.57, no.1, pp.59-71, Jan. 2013.

Wenhao Jiang and F.L. Chung, 'Transfer Spectral Clustering,' in Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Bristol, UK, 24-28 Sept. 2012.

Wenjun Hu, Fu-lai Chung, Shitong Wang, and Wenhao Ying, 'Scaling Up Minimum Enclosing Ball with Total Soft Margin for Training on Large Datasets,' Neural Networks, vol.36, pp.120-128, Dec. 2012.

Jianwen Tao, Fu-lai Chung, and Shitong Wang, 'On Minimum Distribution Discrepancy Support Vector Machine for Domain Adaptation, ' Pattern Recognition, vol.45, no.11, pp.3962-3984, 2012

Pengjiang Qian, Fu-Lai Chung, Shitong Wang, and Zhaohong Deng, 'Fast Graph-Based Relaxed Clustering for Large Data Sets Using Minimal Enclosing Ball,' IEEE Trans. on Systems, Man & Cybernetics: Part B, vol.42, no.3, pp.672-687, June 2012.

Wenjun Hu, Fu-Lai Chung, Shitong Wang, 'The maximum vector-angular margin classifier and its fast training on large datasets using a core vector machine,' Neural Networks, vol.27, pp.60-73, March 2012.

Cane Wing-Ki Leung, Stephen Chi-Fai Chan, Fu-Lai Chung, and Grace Ngai, 'A probabilistic rating inference framework for mining,' Journal of World Wide Web, vol.14, no.2, pp.187-215, March 2011.

Zhaohong Deng, Kup-Sze Choi, Fu-Lai Chung, and Shitong Wang, 'Scalable TSK Fuzzy Modeling for Very Large Datasets Using Minimal Enclosing Ball Approximation,' IEEE Trans. on Fuzzy Systems, vol.19, no.2, pp.210-226, 2011.

Xiaoming Wang, Fu-Lai Chung, and Shitong Wang, 'Theoretical analysis for solution of support vector data description,' Neural Networks, vol.24, pp.360-369, 2011.

W. Lu, W. Sun, F.L. Chung, and Hongtao Lu, 'Revealing digital fakery using multiresolution decomposition and higher order statistics,' Engineering Applications of Artificial Intelligence, vol.24, pp.666-672, 2011.

Zhaohong Deng, Fu-lai Chung, Shitong Wang, 'Robust Relief Feature Weighting, Margin Maximization and Fuzzy Optimization,' IEEE Trans. on Fuzzy Systems, vol.18, no.4, pp.726-744, Aug.2010.

Xiaoming Wang, Fu-Lai Chung, and Shitong Wang, 'On Minimum Class Locality Preserving Variance Support Vector Machine,' Pattern Recognition, vol.43, no.8, pp.2753-2762, Aug.2010.


Teaching & Learning


The following list shows the classes that I have been teaching at PolyU in 2015-18.