Faculty

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About Us

About Us

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Dr NI Bing, Icy

PhD (CUHK)
MEng (Nanjing University of Posts and Telecommunications, NJUPT)
BEng (Nanjing University of Posts and Telecommunications, NJUPT)

icosEmail: icyni@hsu.edu.hk
icosTel: (852) 3963 5237

Lecturer (SCM)
MSc-GSCM Associate Programme Director (Mainland)

Dr. Bing NI holds a Bachelor of Engineering, a Master of Engineering, and a PhD in Computer Science & Engineering. Dr. NI’s academic and industry experience lies in middle of the big data era, working in HKUST, Huawei, ASTRI, Alephoson Biopharmaceuticals Ltd., and currently serving as a Lecturer in HSUHK. Her project and research outcomes have been published and presented in 11 transactions and conferences, and 11 patent clusters filed in the USA and China. Her project management experience includes acting as Project Manager for PH-SPC grant funded by ITC, PI & Project Manager for research project funded by Huawei, and Project Manager & Deputy Project Coordinator for ITS/306/15FP funded by ITC. Specially, her main research interest lies in big data visual analytics and machine learning, and her research projects are related to adopting AI technologies & data mining techniques to understand data and pursue business intelligence in various domains, such as social media, telco, MOOCs, genomic discovery, and healthcare, etc.

  • Research Interests
  • Selected publications
  • Research Grants

Research Interests

  • Customer Segmentation
  • SME Intelligent Warehouse
  • Healthcare & Visual Analysis
  • Big Spatio-Temporal Data
  • MOOCs
  • Genome Analysis

Selected publications

Journal Papers

  • Jinfeng Wang; Jinze Lv, Bing Ni; Lian Gan; Yuan Kong; Zhipeng Cheng; Qiong Huang: A Multi-Task Strategy Framework for Aquaculture Counting across Irregular Densities, Journal of King Saud University – Computer and Information Sciences, 37, 28 (2025).
  • Bing Ni, Qiaomu Shen, Jiayi Xu, Huamin Qu: Spatio-temporal Flow Maps for Visualizing Movement and Contact Patterns, Visual Informatics, 2017, 1(1): 5764
  • Wenchao Wu, Jiayi Xu, Haipeng Zeng, Yixian Zheng, Huamin Qu, Bing Ni, Mingxuan Yuan, Lionel M. Ni: TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data. IEEE Trans. Vis. Comput. Graph. 22(1): 935-944 (2016)
  • Bing Ni, Man Hon Wong, Chi Fai David Lam, Kwong-Sak Leung: Applying Agrep to r-NSA to Solve Multiple Sequences Approximate Matching. International Journal of Data Mining and Bioinformatics 9(4): 358-385 (2014).
  • Bing Ni, Shaoke Lou, Leung-Yau Lo, Stephen Kwok-Wing Tsui, Ting-Fung Chan, Kwong- Sak Leung (: collaborated equally in this work): ABMapper: A Suffix Array-Based Tool for Multi-Location Searching and Splice-Junction Mapping, Bioinformatics 27(3): 421-422 (2011)
  • Shao-Ke Lou, Jing-Woei Li, Hao Qin, Aldrin Kay-Yuen Yim, Leung-Yau Lo, Bing Ni, Kwong-Sak Leung, Stephen Kwok-Wing Tsui, Ting-Fung Chan: Detection of Splicing Events and Multiread Locations from RNA-seq Data Based on A Geometric-Tail (GT) Distribution of Intron Length. BMC Bioinformatics 12(S-5): S2 (2011)

Conference Papers

  • Bing NI, Augmented Data for the Prediction and Evaluation of Customer Churn, International Conference 2025, to appear   
  • Bing NI, Cheuk-Yin CHEUNG, Chi-Hung NG, and Fung-Sang CHAN: Data Augmentation Improves Fuzzy Association Analysis – A Comparative Study with Qlik Sense, 2023 IEEE International Conference on Big Data Workshop U2 2023
  • Fung-Sang CHAN, Cheuk-Yin CHEUNG and Bing NI: An Empirical Study in Transaction Data Augmentation Based on Fuzzy Set Theory for Association Rule Mining, 2023 7th International Symposium on Computer Science and Intelligent Control (ISCSIC). 2023, pp. 396-400, doi: 10.1109/ISCSIC60498.2023.00087.
  • Bing Ni, Brandon WU: Usage-Based Decision Tree for Telco Churn Prediction, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3796-3805, doi: 10.1109/BigData55660.2022.10020657.
  • Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng: Telco Churn Prediction with Big Data. SIGMOD 2015: 607-618
  • Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang: OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. PVLDB 7(13): 1561-1564 (2014) 
  • Hongjian Li, Bing Ni, Man Hon Wong, Kwong-Sak Leung: A Fast CUDA Implementation of Agrep Algorithm for Approximate Nucleotide Sequence Matching, 2011 IEEE 9th Symposium on Application Specific Processors (SASP), San Diego, CA, USA, 2011, pp. 74-77, doi: 10.1109/SASP.2011.5941082.
  • Bing Ni, Leung-Yau Lo, Kwong-Sak Leung: A Generalized Sequence Pattern Matching Algorithm Using Complementary Dual- Seeding, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Hong Kong, China, 2010, pp. 369-372, doi: 10.1109/BIBM.2010.5706593.
  • BingNi, Man Hon Wong, Kwong-Sak Leung: N-SAMSAM: A Simple and Faster Algorithm for Solving Approximate Matching in DNA Sequences, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), Hong Kong, China, 2008, pp. 2592-2598, doi: 10.1109/CEC.2008.4631146.

U.S.A & China Patents

  • Bing Ni, Mingxuan Yuan, Jia Zeng: Data visualization method and device (in Chinese 数据的可视化方法和装置), CN106445957(A)
  • Bing Ni, Mingxuan Yuan, Huamin Qu: Data Visualization Method and Device (in Chinese 数据的可视化方法和装置 ) , US20160217600(A1), CN105243070(A), EP3043321(A1), WO2016004762(A1)
  • Bing Ni, Gong Zhang, Huamin Qu: Processing Method and Device of Spatiotemporal Behavior Data (in Chinese 一种时空行为数据的处理方法和装置) , CN104978334(A)
  • Bing Ni, Yanhui Geng, Wenchao Wu: Data Visualization Method and Device (in Chinese 数据的可视化方法和装置), WO2017063144A1(A1), US20180232918(A1)
  • Bing Ni, Mingxuan YUAN, Shiming Zhang: Method and Apparatus for Presenting Spatial-Temporal Data, US20160132571(A1), WO2015120728(A1), CN104850552(A), CN104850552(B)
  • Jia Zeng, Bing Ni, Jia Chen: Parallel Topic Mining Method and Device (in Chinese 一种并行主题挖掘方法及装置) , CN104866491(A), CN104866491(B)
  • Jia Zeng, Shimin Zhang, Bing Ni: Data Processing Method and Calculation Equipment (in Chinese数据处理的方法及计算设备), CN105224557(A)
  • Lisheng Gao, Bing Ni: Apparatus of Self-adaptive Heatmap Based on Electric Maps (in Chinese 一种生成热力图的方法及装置), CN107766375(A), WO2018032763(A1), US20190180480(A1)
  • Bing Ni, Mingxuan Yuan, Huamin Qu: Data visualization method and device ( in Chinese 数据的可视化方法和装置), WO2017063145(A1), US20180232917(A1)
  • Bing Ni, Mingxuan Yuan, Lan Liang, Wen Yuan Dai: Visualization method and visualization device for data (in Chinese 数据的可视化方法和装置), CN106021245(A)

Research Grants

  • Faculty Development Grant, “Usage-Based Decision Tree: Bridging the Gap of Customer Segmentation and Predicting Churn”, Project No.: SDC-SRG051, HKD $300,000, Principal Investigator
  • Student Research Assistant Scheme, “An Empirical Study of Customer Retentions: A Usage-Based Approach for Understanding Customers Churn and Maximizing Company’s Retention Profit”, Project No.: SDC-SRG019, HKD $19,520, Principal Investigator
  • University Research Start-up Fund 2021/22, “Semi-Automatic Data Segmentation of Fundus Images – A Case Study in Applying Deep Learning for Generating the Golden Standards for Interpretating Medical Images”, HKD $10,000, Principal Investigator
  • Innovation Technology Commission PH-SPC, “An Intelligent Tool for Retinal Images Segmentation”, Project Manager 
  • Huawei Technologies Noah’s Ark Lab,”針對電信大數據的可視分析研究” (In Chinese), Project No.: YBCB2009041-44, HKD $1,000,000, Principal Investigator & Project Manager
  • Innovation and Technology Support Programme, “An Open Learning Design, Data Analytics and Visualization Framework for E-Learning (Phase 1)”, Project No.: ITS/306/15FP, HKD $8,000,000, Project Manager & Deputy Project Coordinator