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. Before that, I received my Ph.D. degree from Department of Computer Science, The University of Hong Kong, advised by Prof. Reynold Cheng in 2017. I am an editorial board member of the international journal of Information & Processing Management (IPM). I have served as PC members for several top conferences (e.g., ICDE, IJCAI, CIKM, and ASONAM) and reviewers for top journals (e.g., TKDE, VLDBJ, TOC, and IS) in the areas of database and data mining. Up to now, I have published over 40 papers, and most of them are published in top-tier conferences (e.g., PVLDB, SIGMOD, ICDE, and IJCAI) and journals (e.g., VLDBJ and TKDE) in the areas of database and data mining.


Research Interest

My general research area is large-scale data management. Currently, I am working on the following research topics over the big graph data and big spatial data:

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

Publications [Google scholar, Representative, * indicates corresponding author]

  1. Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao. "Effective and Efficient Community Search over Large Heterogeneous Information Networks", Proceedings of the VLDB Endowment (PVLDB), 13(6):854-867, 2020.
  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 (VLDBJ), 29(1): 353-392, 2020. [codes]
  3. Chenhao Ma, Yixiang Fang*, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. "Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs", ACM International Conference on Management of Data (SIGMOD), 2020. (full paper, in press)
  4. Yixing Yang, Yixiang Fang*, Xuemin Lin, Wenjie Zhang. "Effective and Efficient Truss Computation Over Large Heterogeneous Information Networks", IEEE International Conference on Data Engineering (ICDE), pages 901-912, 2020.
  5. Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin C.C. Chang, Xuemin Lin. "MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks", IEEE International Conference on Data Engineering (ICDE), pages 1722-1725, 2020.
  6. Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang. "ESPM: Efficient Spatial Pattern Matching", IEEE International Conference on Data Engineering (ICDE), pages 2038-2039, 2020.
  7. Yankai Chen, Jie Zhang, Yixiang Fang*, Xin Cao, Irwin King. "Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach", International Joint Conferences on Artificial Intelligence (IJCAI), 2020. (full paper, in press)
  8. Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang. "Inductive Link Prediction for Nodes with Only Attribute Information", International Joint Conferences on Artificial Intelligence (IJCAI), 2020. (full paper, in press)
  9. Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao. "Optimal Region Search with Submodular Maximization", International Joint Conferences on Artificial Intelligence (IJCAI), 2020. (full paper, in press)
  10. Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang. "LABIN: Balanced Min Cut for Large-scale Data", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(3): 725-736, 2020.
  11. Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang. "ESPM: Efficient Spatial Pattern Matching", IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(6): 1227-1233, 2020.
  12. Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V.S. Lakshmanan, Xuemin Lin. "Efficient Algorithms for Densest Subgraph Discovery", Proceedings of the VLDB Endowment (PVLDB), 12(11): 1719-1732, 2019. [Codes are available via email request]
  13. Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong. "Evaluating Pattern Matching Queries for Spatial Databases", The VLDB Journal (VLDBJ), 28(5): 649-673, 2019.
  14. Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu. "Effective and Efficient Community Search over Large Directed Graphs", IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11): 2093-2107, 2019.
  15. Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen. "On Spatial-Aware Community Search", IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(4): 783-798, 2019.
  16. Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu. "Effective and Efficient Community Search over Large Directed Graphs (Extended Abstract)", IEEE International Conference on Data Engineering (ICDE), pages 2157-2158, 2019.
  17. Yankai Chen, Yixiang Fang*, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang. "Exploring Communities in Large Profiled Graphs (Extended Abstract)", IEEE International Conference on Data Engineering (ICDE), pages 2159-2160, 2019.
  18. Yun Li, Yixiang Fang*, Reynold Cheng, Wenjie Zhang. "Spatial Pattern Matching: A New Direction for Finding Spatial Objects", ACM SIGSPATIAL Newsletter (invited paper), 11(1): 1-12, 2019.
  19. Yankai Chen, Yixiang Fang*, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang. "Exploring Communities in Large Profiled Graphs", IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(8): 1624-1629, 2019.
  20. Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Tobias Grubenmann, Yixiang Fang*, Xiaodong Li. "LINC: A Motif Counting Algorithm for Uncertain Graphs", Proceedings of the VLDB Endowment (PVLDB), 13(2): 155-168, 2019.
  21. 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", IEEE International Conference on Data Engineering (ICDE), pages 746-757, 2019.
  22. Ran Wang, Yixiang Fang*, Xing Feng. "Efficient Parallel Computing of Graph Edit Distance", LSGDA Workshop in ICDE, 2019.
  23. Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao. "Structured Spectral Clustering of PurTree Data", International Conference on Database Systems for Advanced Applications (DASFAA), pages 485-501, 2019.
  24. Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li. "On Spatial Pattern Matching", IEEE International Conference on Data Engineering (ICDE), pages 293-304, 2018. [Codes are available via email request]
  25. Yixiang Fang, Reynold Cheng, Jikun Wang, Budiman, Gao Cong, and Nikos Mamoulis. "SpaceKey: Exploring Patterns in Spatial Databases", IEEE International Conference on Data Engineering (ICDE), pages 1577-1580, 2018.
  26. Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang. "STEM: A Suffix Tree Based Method for Web Data Records Extraction", Knowledge and Information Systems (KAIS), 55(2): 305-331, 2018.
  27. Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu. "Scalable Evaluation of k-NN Queries on Large Uncertain Graphs", International Conference on Extending Database Technology (EDBT), pages 181-192, 2018.
  28. 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", IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(3): 559-572, 2018.
  29. Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu. "Effective Community Search over Large Spatial Graphs", Proceedings of the VLDB Endowment (PVLDB), 10(6): 709-720, 2017. [Codes are available via email request]
  30. Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang. "C-Explorer: Browsing Communities in Large Graphs", Proceedings of the VLDB Endowment (PVLDB), 10(12): 1885-1888, 2017.
  31. Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu. "Effective and Efficient Attributed Community Search", The VLDB Journal (VLDBJ), 26(6): 803-828, 2017.
  32. Yixiang Fang, Reynold Cheng. "On Attributed Community Search", MATES Workshop in PVLDB, 2017.
  33. Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo. "On Embedding Uncertain Graphs", ACM Conference on Information and Knowledge Management (CIKM), pages 157-166, 2017.
  34. Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang. "On Minimal Steiner Maximum-Connected Subgraph Queries", IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(11): 2455-2469, 2017.
  35. Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan Yang. "Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data", IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(3): 785-800, 2016.
  36. Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu. "Effective Community Search for Large Attributed Graphs", Proceedings of the VLDB Endowment (PVLDB), 9(12): 1233-1244, 2016. [Codes are available via email request]
  37. Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan Yang. "Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data (Extended Abstract)", IEEE International Conference on Data Engineering (ICDE), pages 1528-1529, 2016.
  38. Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang. "Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs", ACM Conference on Information and Knowledge Management (CIKM), pages 1241-1250, 2016.
  39. Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C.S. Lui. "Walking in the Cloud: Parallel SimRank at Scale", Proceedings of the VLDB Endowment (PVLDB), 9(1): 24-35, 2015.
  40. Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li. "Detecting Hot Topics from Twitter: A Multi-view Approach", Journal of Information Science (JIS), 40(5): 578-593, 2014.
  41. Reynold Cheng, Yixiang Fang, Matthias Renz. Uncertain Data Classification. In Data Classification: Algorithms and Applications, C. C. Aggarwal (eds.), Chapman & Hall / CRC Data Mining and Knowledge Discovery Series, ISBN: 978-1466586741, 2014.
  42. Xiaoqin Xie, Yixiang Fang, Zhiqiang Zhang, Li Li. "Extracting Data Records from Web Using Suffix Tree", ACM SIGKDD Workshop on Mining Data Semantics, 2012.
  43. Xiaoqin Xie, Li Li, Zhiqiang Zhang, Yixiang Fang. "Back-buy Prediction Based on TriFG", ACM SIGKDD Workshop on Mining Data Semantics, 2012.
  44. Zhiqiang Zhang, Lixia Liu, Xiaoqin Xie, Haiwei Pan, Yixiang Fang. "Information Evaluation Based on Sources Dependence", Chinese Journal of Computer Science, 35(11): 2392-2402, 2012.

Academia Services

  • Editorial Board Member:
        Information Processing & Management (IP&M), since 2019
  • Conference PC Members:
        2020: IJCAI 2020, ASONAM 2020, APWeb-WAIM 2020
        2019: ICDE 2019, CIKM 2019, ASONAM 2019, WISE 2019, BSMDMA Workshop of IJCAI 2019
        2018: LASGDA Workshop of ICDE 2018
  • Journal Reviewers:
        Journals: VLDBJ, TKDE, IS, TOC, KAIS, Geoinformatica, Neurocoputing, etc.
  • External Reviewers:
        Conferences: SIGMOD, VLDB, KDD, etc.

Teaching

 1. Programming Technologies and Tools, 2016, TA
 2. Introduction to Database Management Systems, 2015, TA


Hobbies

Piano
Hiking, Swimming, Meditation