Dr. You Peng

Dr. You Peng

Postdoc Researcher, The Chinese University of Hong Kong.

Biography

I am a Postdoc Researcher at the University of New South Wales. I received my PhD degree in the University of New South Wales Supervised by Xuemin Lin in 2020, and received my bachelor degree from Tsinghua University in 2016. After that, I worked as a research fellow in the University of New South Wales, Australia during 2020-2021. Then, I worked as a research fellow in the Chinese University of Hong Kong Supervised by Jeffrey Xu Yu during 2021-2022. My research interests mainly focus on the areas of path-based analysis, fraud detection, and efficient new hardware-based graph analysis over big data, particularly big graph data and dynamic graphs. Till now, I have published 17 papers in the areas of database, data mining, and most of them were published in top-tier conferences (e.g., PVLDB, ICDE) and journals (e.g., VLDBJ). I have also served as program committee members for top conference (e.g., PVLDB).

Publications

(#indicate the corresponding author.)

  1. You Peng, Zhuo Ma, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xiaoshuang Chen. “Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs”, to appear in IEEE International Conference on Data Engineering (ICDE), 2023.
  2. You Peng, Xuemin Lin, Michael Yu, Wenjie Zhang, Lu Qin. “TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs”, to appear in IEEE International Conference on Data Engineering (ICDE), 2023.
  3. You Peng, Jeffrey Xu Yu, Sibo Wang. “PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs”, to appear in IEEE International Conference on Data Engineering (ICDE), 2023.
  4. You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu. “Finding Top-r Influential Communities under Aggregation Functions”, IEEE International Conference on Data Engineering (ICDE), 1942-1955, 2022.
  5. Zhirong Yuan, You Peng#, Peng Cheng, Li Han, Xuemin Lin, Lei Chen, Wenjie Zhang. “Efficient k-clique Listing with Set Intersection Speedup”, IEEE International Conference on Data Engineering (ICDE), 1956-1969, 2022.
  6. Xin Chen, You Peng#, Sibo Wang, Jeffrey Xu Yu. “DLCR : Efficient Indexing for Label-Constrained Reachability Queries on Large Dynamic Graphs”, Proceedings of the VLDB Endowment (PVLDB), 2022.
  7. Qingshuai Feng*, You Peng#, Wenjie Zhang, Ying Zhang, Xuemin Lin. “Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach”, IEEE International Conference on Data Engineering (ICDE), 512-524, 2022.
  8. You Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin. “Answering reachability and K-reach queries on large graphs with label constraints”, The VLDB Journal (VLDBJ), 31(1): 101-127, 2022
  9. You Peng, Wenjie Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang. “Dlq: A system for label-constrained reachability queries on dynamic graphs”, demo of ACM International Conference on Information and Knowledge Management (CIKM), 4764-4768, 2021. (Best Demo Nomination)
  10. Xin Jin, Zhengyi Yang, Xuemin Lin, Shiyu Yang, Lu Qin, You Peng. “FAST: FPGA-based Subgraph Matching on Massive Graphs”, IEEE International Conference on Data Engineering (ICDE), 1452-1463, 2021.
  11. Zhengmin Lai, You Peng, Shiyu Yang, Xuemin Lin, Wenjie Zhang. “PEFP: Efficient k-hop Constrained s-t Simple Path Enumeration on FPGA”, IEEE International Conference on Data Engineering (ICDE), 1320- 1331, 2021.
  12. You Peng, Ying Zhang, Xuemin Lin, Wenjie Zhang, Lu Qin, Jingren Zhou. “Efficient Hop-constrained s-t Simple Path Enumeration”, The VLDB Journal (VLDBJ), 30(5): 799-823, 2021.
  13. You Peng, Ying Zhang, Xuemin Lin, Lu Qin, Wenjie Zhang. “Answering Billion-Scale Label-Constrained Reachability Queries within Microsecond”. Proceedings of the VLDB Endowment (PVLDB), 13(6): 812- 825, 2020.
  14. Lu Qin, Wenjie Zhang, Ying Zhang, You Peng, Hiroyuki Kato, Wei Wang, Chuan Xiao. Foundations for Data Interoperability and Large Scale Graph Data Analytics”. 4th International Workshop, SFDI 2020, and 2nd International Workshop, LSGDA 2020, Held in Conjunction with VLDB 2020, Tokyo, Japan, September 4, 2020, Proceedings[M]. Springer Nature, 2020.
  15. You Peng, Ying Zhang, Xuemin Lin, Wenjie Zhang, Lu Qin, Jingren Zhou. “Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice”, Proceedings of the VLDB Endowment (PVLDB), 13(4): 463-476, 2019.
  16. You Peng, Ying Zhang, Wenjie Zhang, Xuemin Lin, Lu Qin. “Efficient Probabilistic K core Computation on Uncertain Graphs”, IEEE International Conference on Data Engineering (ICDE), 1192-1203, 2018.
  17. Xiafei Qiu, Wubin Cen, Zhengping Qian, You Peng, Ying Zhang, Xuemin Lin, Jingren Zhou. “Real-time Constrained Cycle Detection in Large Dynamic Graphs. Proceedings of the VLDB Endowment (PVLDB), 11(12): 1876-1888, 2018.

Academic Services

  • Organization Committee:
    • Publication Chair and Volume Editor of International Workshop on Large Scale Graph Data Analytics LSGDA In conjunction with the PVLDB 2020
  • Program Committee:
    • International Conference on Very Large Data Bases PVLDB: 2023
    • International Conference on Database Systems for Advanced Applications DASFAA: 2023
    • ACM VLDB Reproducibility Committee
  • Journal Reviewer:
    • VLDBJ
    • TKDE
    • TKDD
    • WWWJ
  • (External) Conference/Journal Reviewer: KDD, VLDB, ICDE, SIGMOD, etc.

Talks

  • Finding Top-r Influential Communities under Aggregation Functions, ICDE 2022, Kuala Lumpur, Malaysia, May 11, 2022. (Virtual conference)
  • Towards Bridging Theory and Practice: Hop-constrained s-t Simple Path Enumeration, Peking University, May 22, 2021.
  • Answering Billion-Scale Label-Constrained Reachability Queries within Microsecond, VLDB 2020, Tokyo, Japan, Aug 31, 2020. (Virtual conference)
  • Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice, VLDB 2020, Tokyo, Japan, Aug 31, 2020. (Virtual conference)
  • Efficient Probabilistic K Core Computation on Uncertain Graphs, ICDE 2018, Paris, France, April 17, 2018.

Teaching

  • Tutor for Big Data Management (COMP9313)
    • 2018 S1.
  • Tutor for Database Systems (COMP9311) – 2017 S1, 2018 S1, 2019 T1, 2019 T3.
  • Tutor for Data Science and Decisions (DATA1001)
    • 2017 S2.

Honors and Awards

  • CIKM2021 Best Demo Nomination.
  • Dean’s Award for Outstanding Ph.D. Theses @ UNSW
  • Scholarship of Academic Excellence, Tsinghua University