Dr. Yixiang Fang (PhD HKU)


Research Associate
School of Computer Science and Engineering
The University of New South Wales, Australia

Office: Room 217H, K-17, Barker St, Kensington NSW 2052
Email: fangyixianghku@gmail.com, yixiang.fang@unsw.edu.au


Biography

Hi! My name is Yixiang Fang. Currently, I am a postdoc researcher in The University of New South Wales, working with Prof. Xuemin Lin and Prof. Wenjie Zhang. I received my Ph.D. degree from Department of Computer Science, The University of Hong Kong, advised by Dr. Reynold Cheng in 2017.


Research Interest

My research interest mainly focuses on big data analytics, especially on proximity queries. I am passionate about managing large-scale data with platforms like Hadoop and Spark. My current topics are summarized as follows:

  • Graph database: cohesive subgraph search, embedding, similarity, uncertain graph, topic detection
  • Spatial database: geo-social network, keyword search, nearest neighbors

Publications [Google scholar, * indicates corresponding author]

  1. Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V.S. Lakshmanan, Xuemin Lin. "Efficient Algorithms for Densest Subgraph Discovery", PVLDB, 2019.
  2. Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin. "A Survey of Community Search Over Big Graphs", The VLDB Journal, 2019. [codes]
  3. Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong. "Evaluating Pattern Matching Queries for Spatial Databases", The VLDB Journal, 2019.
  4. Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu. "Effective and Efficient Community Search over Large Directed Graphs (Extended abstract)", ICDE, 2019.
  5. Yankai Chen, Yixiang Fang*, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang. "Exploring Communities in Large Profiled Graphs", TKDE, 2019.
  6. Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang. "ESPM: Efficient Spatial Pattern Matching", TKDE, 2019.
  7. Yun Li, Yixiang Fang*, Reynold Cheng, Wenjie Zhang. "Spatial Pattern Matching: A New Direction for Finding Spatial Objects", ACM SIGSPATIAL Newsletter (invited paper), 2019.
  8. Yankai Chen, Yixiang Fang*, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang. "Exploring Communities in Large Profiled Graphs (Extended abstract)", ICDE, 2019.
  9. Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Tobias Grubenmann, Yixiang Fang*, Xiaodong Li. "LINC: A Motif Counting Algorithm for Uncertain Graphs", PVLDB, 2019.
  10. Jiafeng Hu, Reynold Cheng, Kevin C.C. Chang, Aravind Sankar, Yixiang Fang*, Brian Y. H. Lam. "Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks", ICDE, 2019.
  11. Ran Wang, Yixiang Fang*, Xing Feng. "Efficient Parallel Computing of Graph Edit Distance", LSGDA Workshop in ICDE, 2019.
  12. Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao. "Structured Spectral Clustering of PurTree Data", DASFAA, 2019.
  13. Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang. "LABIN: Balanced Min Cut for Large-scale Data", TNNLS, 2019.
  14. Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li. "On Spatial Pattern Matching", ICDE, 2018. [Codes are available via email request]
  15. Yixiang Fang, Reynold Cheng, Jikun Wang, Budiman, Gao Cong, and Nikos Mamoulis. "SpaceKey: Exploring Patterns in Spatial Databases", ICDE, 2018. [Online demo]
  16. Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu. "Effective and Efficient Community Search over Large Directed Graphs", TKDE, 2018.
  17. Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen. "On Spatial-Aware Community Search", TKDE, 2018.
  18. Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu. "Scalable Evaluation of k-NN Queries on Large Uncertain Graphs", EDBT, 2018.
  19. Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu. "Effective and Efficient Attributed Community Search", The VLDB Journal, 2017.
  20. Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu. "Effective Community Search over Large Spatial Graphs", PVLDB, 2017. [Codes are available via email request]
  21. Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang. "C-Explorer: Browsing Communities in Large Graphs", PVLDB, 2017.
  22. Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang. "STEM: A Suffix Tree Based Method for Web Data Records Extraction", KAIS, 2017.
  23. Yixiang Fang, Reynold Cheng. "On Attributed Community Search", MATES Workshop in PVLDB, 2017.
  24. Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang. "PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data", TKDE, 2017.
  25. Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo. "On Embedding Uncertain Graphs", CIKM, 2017.
  26. Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang. "On Minimal Steiner Maximum-Connected Subgraph Queries", TKDE, 2017.
  27. Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan Yang. "Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data", TKDE, 2016.
  28. Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu. "Effective Community Search for Large Attributed Graphs", PVLDB, 2016. [Codes are available via email request]
  29. Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan Yang. "Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data (Extended abstract)", ICDE, 2016.
  30. Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang. "Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs", CIKM, 2016.
  31. Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C.S. Lui. "Walking in the Cloud: Parallel SimRank at Scale", PVLDB, 2015.
  32. Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li. "Detecting Hot Topics from Twitter: A Multi-view Approach", Journal of Information Science, 2014.
  33. Reynold Cheng, Yixiang Fang, Matthias Renz. "Uncertain Data Classification", Book: "Data Classification: Algorithms and Applications (By Charu C. Aggarwal)", 2014.
  34. Xiaoqin Xie, Yixiang Fang, Zhiqiang Zhang, Li Li. "Extracting Data Records from Web Using Suffix Tree", ACM SIGKDD Workshop on Mining Data Semantics, 2012.
  35. Xiaoqin Xie, Li Li, Zhiqiang Zhang, Yixiang Fang. "Back-buy Prediction Based on TriFG", ACM SIGKDD Workshop on Mining Data Semantics, 2012.
  36. Zhiqiang Zhang, Lixia Liu, Xiaoqin Xie, Haiwei Pan, Yixiang Fang. "Information Evaluation Based on Sources Dependence", Chinese Journal of Computer Science, 2012.

Academia Services

  • Editorial Board Member of Information Processing & Management (IP&M), since Sep 2019.
  • PC member: ICDE, 2019.
  • PC member: CIKM, 2019.
  • PC member: ASONAM, 2019.
  • PC member: WISE, 2019.
  • PC member: TKDE poster track of ICDE, 2019.
  • PC member: Workshop on Large Scale Graph Data Analytics (LSGDA) of ICDE, 2019.
  • PC member: Workshop on Big Social Media Data Management and Analysis of IJCAI, 2019.
  • PC member: International Conference on Data Analytics, 2019.
  • PC member: Demo track of the International Conference on Mobile Data Management, 2018.
  • PC member: International Conference on Data Analytics, 2018.
  • PC member: International Conference on Data Analytics, 2017.
  • PC member: International Workshop on Big Social Media Data Management and Analysis, in conjunction with the 2017 IEEE International Conference on Big Data.
  • Reviewers for journals: VLDBJ, TKDE, IS, TOC, KAIS, Geoinformatica, Neurocoputing, etc.
  • External reviewers for conferences: SIGMOD, VLDB, ICDE, KDD, CIKM.

Internship

 1. October, 2014 ~ April, 2015: Huawei Noah's Ark Lab, Hong Kong
 2. June, 2016 ~ September, 2016: Nanyang Technological University, Singapore


Hobbies

Piano
Hiking, Swimming, Meditation