Research

 

Current Research Themes:

A. The fusion of Evolutionary Computing and Data Mining, powered by massively parallel processors.

We are exploiting the latest GPU computing architecture (CUDA 7.X and NVIDIA Kepler K80) to generate highly efficient (one to two orders of magnitude faster) and effective (more precise and robust) solutions for tackling large scale real-world data mining and optimization problems.

We are proud to host the NVIDIA GPU Education CenterAward  Poster 1  Poster 2

Publications: PAKDD  CIKM

B. Data Clustering Using Boundary Information

We are investigating clustering techniques based on the boundary information of data clusters. Instead of having all the raw data involved in the clustering process, only a small portion of data (5%-10%) is strategically extracted and fed into the traditional clustering method, which can dramatically improve the efficiency of clustering algorithms without compromising the quality of clustering.

Publications: PRL


Recent Research Theme:

Vision based dynamic hand gesture recognition for touchless human computer interaction.

We developed robust vision based hand gesture recognition techniques using optical cameras, Kinect and Leap Motion, which are capable of reliably detecting, tracking and recognizing flexible human hand gestures under complex environments (unfavorable lighting conditions, occlusions and background noise) and have found exciting applications in our everyday life (smart TV, smart phone, virtual reality and computer games).

Research Showcase:  http://i.youku.com/Computationalintel   Poster


Other Research Activities:

Data Mining

  • Classification of Imbalanced Datasets

  • Ensemble Learning

  • Sampling

  • Social Computing & Recommendation

  • Spatial Database

  • Applications: CRM, Early Diagnosis of Alzheimer's Disease, Games

Evolutionary Computation

  • Estimation of Distribution Algorithms

  • Landscape Generator

  • Racing Techniques

  • Applications: MRI, Wireless Sensor Networks

A brief introduction of  my previous research experience: here


I have been working with a number of nice people:

A/Prof. Marcus Gallagher Prof. Jianfeng Lu Prof. Maria Orlowska Prof. Shazia Sadiq Prof. Janet Wiles
A/Prof. Xuelei Hu Prof. Feng Liu Prof. Tianming Liu    

Alumni:

Name Graduation Date Research Topic Position
Mr. Yunchang He 06/2016 Community Detection Industrial and Commerical Bank of China, Shenzhen
Mr. Pengtao Huang 06/2016 GPU Computing Startup Founder, Shenzhen
Miss Yuxin Zhang 06/2016 Compressed Sensoring Research Institute of Tsinghua University, Beijing
Miss Na Zhao 10/2016 Data Visualization Chuancai Securities, Beijing
Mr. Yan Ji 06/2015 Keyword Extraction TravelSky, Beijing
Mr. Fei Wang 06/2015 GPU Computing NetEase, Guangzhou
Mr. Shiquan Yang 06/2015 GPU Computing Alibaba, Beijing
Mr. Jianqiang Dong 06/2014 GPU Computing Hulu, Beijing
Mr. Chunyang Wang 06/2014 Hand Gesture Recognition Shanghai Electrical Power, Shanghai
Mr. Zhibo Yang 06/2014 Hand Gesture Recognition Alibaba, Hangzhou
Miss Yanmin Zhu 06/2014 Hand Gesture Recognition PhD Candidate, UQ, Australia
Mr. Hequn Liu 06/2013 Music Recommendation Everbright Securities, Shanghai
Mr. Tianle Ma 06/2013 Social Recommendation PhD Candidate, SUNY Buffalo, USA
Ms. Xiaoli Ma 12/2012 Semantic Search PhD Candidate, Peking University, Beijing
Mr. Wei Chen 06/2012 GPU Computing China Construction Bank, Beijing
Mr. Ze Huang 06/2012 Web Data Mining NetEase, Guangzhou
Mr. Cheng Li 06/2012 Music Recommendation China Everbright Bank, Beijing
Miss Xiuyun Qu 12/2009 Medical Data Mining Siemens Corporate Technology China, Beijing
Miss Xinzhu Yang 12/2009 Ensemble Learning China Everbright Bank, Beijing
Mr. Jian Wang 12/2008 Customer Behavior Analysis PhD Candidate, NCEPU, Beijing
Mr. Tao Zhang 12/2008 Customer Behavior Analysis Guangxi Tourism Investment Group, Nanning
Mr. Bohan Liu 06/2008 Customer Behavior Analysis CISDI, Chongqing