Sheng Xiang

Sheng Xiang

Ph.D. Candidate

University of Technology Sydney

Biography

Sheng Xiang (向声) is currently a Ph.D. candidate at Australian Artificial Intellegence Institution (AAII), University of Technology Sydney, supervised by Prof.Ying Zhang, A/Prof.Lu Qin, and A/Prof.Dawei Cheng. Prior to now, I obtained my Bsc Degree from Shanghai Jiao Tong University (SJTU) , China.

I specialize in learning-based graph simulation for data management (VLDBJ'21, ICDE'22, ICDE'25, TBD'25), spatio-temporal and uncertain data mining (AAAI'20, TKDE'21, CIKM'22, AAAI'23, TKDE'23), and multimodal data generation (PR'22). Now I mainly focus on graph simulation for data management and spatio-temporal data mining.

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Interests
  • Learning-based Graph Simulation for Data Management
  • Spatio-Temporal Data Mining
  • Multimodal Data Generation
Education

  • PhD in Computer Science

    University of Technology Sydney

  • BSc in Bioinformatics

    Shanghai Jiao Tong University

News

  • [Award]: I am honored to receive the best student paper award in the 8th APWeb-WAIM joint International Conference on Web and Big Data. (31/8/2024)
  • [Award]: I am honored to receive the first prize in the financial technology competition held by the Bank of Shanghai. (20/12/2023)
  • [Award]: I am honored to receive the Chinese Government Award for Outstanding Self-financed Students Abroad. (3/7/2023)
  • [Paper]: One paper (corresponding author) was accepted by IEEE TKDE for money laundering detection! (23/4/2023).
  • [Paper]: One paper (first author) was accepted by AAAI 2023 for credit card fraud detection! (19/11/2022).
  • [Award]: The Youth Outstanding Paper Award at WAIC 2022 for Credit Card Fraud Detection! (29/8/2022)
  • [Paper]: One paper (first author) was accepted by CIKM 2022 for financial time series prediction! (22/8/2022)
  • [Paper]: One paper (first author) was accepted by ICDE 2022 for efficient graph simulation! (24/3/2022)
  • [Paper]: One journal article was published by Pattern Recognition for financial time series prediction! (1/1/2022)
  • [Paper]: One journal article (first author) was published by the VLDB Journal for graph simulation benchmark! (7/10/2021)

Publications

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Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang (2025). Enhancing Attribute-driven Fraud Detection with Risk-aware Graph Representation. In IEEE TKDE 2025.

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Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang (2025). Efficient Learning-based Graph Simulation for Temporal Graphs. In IEEE ICDE 2025 (To Appear).

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Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang (2025). Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. In ACM WWW 2025 (To Appear).

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Academic Services

Program Committee Member & Reviewer:

  • 2025: KDD, AAAI, WWW
  • 2024: VLDB, ICDE, NeurIPS, AAAI
  • 2023: IJCAI, AAAI
  • 2022: KDD
  • 2021: CIKM, KSEM

Invited Journal Reviewer:

TNNLS, TKDE, TCSS, etc.

Teaching

UTS 42913 Social and Information Network Analysis: Lab tutorials in Autumn Session 2023 and 2024.

UNSW COMP9311-Database Systems: Lab tutorials in 2023 T3.