Bo Tang (唐 博), PhD.

Assistant Professor
Department of Computer Science and Engineering
Southern University of Science and Technology

Office: 1012, A7, Nanshan iPark, Shenzhen, Guangdong, China
Email: tangb3_AT_sustech_DOT_edu_DOT_cn

Biography

Bo Tang received the PhD Degree in the Department of Computing at the The Hong Kong Polytechnic University. He was a member of Database Research Group. He was supervised by Dr. Ken Yiu. He was a visiting researcher at MonetDB group (Amsterdam) and Microsoft Research Asia (Beijing). Before that, he obtained his BEng degree in computer science from Sichuan University.


Research Statement

My research interests are in the area of data management (i.e., similarity search on high dimensional data, data exploration techniques on multi-dimensional dataset). In particular, I focus on improving query time efficiency and query result accuracy. I do research because I really enjoy it. Especially, I want to do top research works which will make a difference to our life.


COVIDPat System

Currently, our team DBGroup@SUSTech and team in UM (leading by Prof. Ryan U ) are working on large-scale COVID-19 knowledge graph analytical system . The query engine in our system outperforms the state-of-the-art solutions by 10~100 times in terms of response time. Our contribution is only to save the time, hopefully someone will use them to save our world.


Teaching Courses
  • CS203, Data Structure and Algorithm Analysis, Fall 2020, Fall 2019, Fall 2018, Spring 2018, Fall 2017
  • CS302, Operating System, Spring 2020, Spring 2019, Spring 2018
ICPC
    I am the coach of the SUSTech programming team since Fall 2017. Contact me if you are interested in solving challenging algorithmic problems. You can visit many wonderful cities for free :)

Selected Publications (Full publication list, code, data and supplementary materials, e.g., slides, posters, are available via email request, * indicates the work was done under my supervision)
  1. Bo Tang, Kyriakos Mouratidis, Man Lung Yiu, Zhenyu Chen.
    Creating Top Ranking Options in the Continuous Option and Preference Space.
    45th International Conference on Very Large Data Bases (PVLDB), Los Angeles, California, USA, August 2019.
  2. Long Xiang*, Bo Tang, Chuan Yang.
    Accelerating Exact Inner Product Retrieval by CPU-GPU System.
    The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short paper), Paris, France, July 2019.
  3. Kyriakos Mouratidis, Bo Tang.
    Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings.
    44th International Conference on Very Large Data Bases (PVLDB), Rio de Janeiro, RJ, Brazil, August 2018.
  4. Bo Tang, Kyriakos Mouratidis, Man Lung Yiu.
    Determining the Impact Regions of Competing Options in Preference Space.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), Chicago, Illinois, USA, May 2017.
  5. Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang.
    Extracting Top-K Insights from Multi-dimensional Data.
    Proceedings of the ACM Conference on Management of Data (SIGMOD), Chicago, Illinois, USA, May 2017.
  6. Bo Tang, Man Lung Yiu, Kyriakos Mouratidis, Kai Wang.
    Efficient Motif Discovery in Spatial Trajectories Using Discrete Fréchet Distance.
    Proceedings of the International Conference on Extending Database Technology (EDBT), Venice, Italy, March 2017.
  7. Bo Tang, Man Lung Yiu, Kien A Hua.
    Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search.
    IEEE Transactions on Knowledge and Data Engineering(TKDE), pages 1175-1188, 2016.
  8. Chuanfei Xu, Bo Tang, Man Lung Yiu.
    Diversified caching for replicated web search engines.
    IEEE 31st International Conference on Data Engineering (ICDE), Pages 207-218, Seoul, Korea, April 2015.

Selected Professional Activities (Full list)
  • Reviewer for Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'2019,2020)
  • Reviewer for IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE'2017,2018,2019,2020)
  • Subreviewer for ACM SIGKDD 2020 (KDD'2020)
  • Reviewer for ACM International Conference on Information and Knowledge Management (CIKM'2017, short paper)

Student Supervision

Ongoing
  • Jian ZENG, (PhD candidate from 2018, SUTech); Research Topic: Knowledge Graph (SIGMOD China)
  • Shiqi ZHANG, (PhD candidate from 2019, SUSTech-NUS joint PhD programme) Topic: Graph Management
  • Wentao NING, (PhD candidate from 2020, SUSTech-HKU joint PhD programme) Topic: TBD (VLDB demo)
  • Bo HUANG, (Mphi from 2019, SUSTech); Research Topic: Computational Geometry
  • Teng WANG, (Mphi from 2019, SUSTech); Research Topic: Trajectory Visualization
  • Haotian LIU, (Mphi from 2020, SUSTech); Research Topic: Big Data System (VLDB demo, DI2KG)
  • Keming LI, (Mphi from 2020, SUSTech); Research Topic: Top-k Query processing
  • Qian LI, (Mphi from 2020, SUSTech); Research Topic: TBD
Representive Alumni: Full list, I had the pleasure of working with you. Join us
    We always welcome brillant people to join our group. However, I have limited PhD and Master quota per year. If you want to join my research group (DBGroup@SUSTech), please fill this form and drop an email to me as soon as possible. Until now, the next positions of DBGroup members include CMU, Yale, UCSD, Gatech, UNSW, HKUST, NUS, HKPolyU, Univ. of Tokyo (academic), Tencent (industry).
For letter-of-reference requests
    I only write recommendation letters for students who: i) had research collaboration with me or ii) had excellent performance in SUSTech CS203 or CS302, preferably for those applicants who had contributions in our research works.

Representative Awards / Honors