Sheng Xiang

Sheng Xiang

Assistant Professor

Tongji University

Biography

Sheng Xiang (向声) is currently a tenure-track assistant professor (Ph.D. Supervisor) at School of Computer Science and Technology, Tongji University. I obtained Ph.D. degree at University of Technology Sydney (UTS), supervised by Prof.Ying Zhang. Prior to now, I obtained my Bsc Degree from Shanghai Jiao Tong University (SJTU).

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 Financial Graph Simulation, Generative AI Systems, and AI for Data Synthesis.

I am actively looking for self-motivated Ph.D. (enrollment in 2027)/M.S./Undergraduate students in the areas of Financial Graph Simulation, Generative AI Systems, and AI for Data Synthesis, welcome to contact me at xiangsheng [AT] tongji.edu.cn or xiangsheng1325 [AT] sjtu.edu.cn.

Interests
  • Financial Graph Simulation
  • Generative AI Systems
  • AI for Data Synthesis
Education
  • PhD in Computer Science

    University of Technology Sydney

  • BSc in Bioinformatics

    Shanghai Jiao Tong University

News

  • [Funding]: The Shanghai Municipal Science and Technology Commission project I am leading has been approved! (1/12/2025)

  • [Paper]: One paper (first author) was accepted by IEEE TKDE for graph-based fraud detection! (10/3/2025)

  • [Paper]: One paper (first author) was accepted by ACM WWW for spoofing detection! (11/2/2025)

  • [Paper]: One paper (first author) was accepted by IEEE TBD for scalable graph simulation! (20/1/2025)

  • [Paper]: One paper (first author) was accepted by IEEE ICDE for dynamic graph simulation! (15/12/2024)

  • [Paper]: One paper (corresponding author) was accepted by IEEE TBD for fraud detection! (20/11/2024)

  • [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

Quickly discover relevant content by filtering publications.
(2025). Enhancing Attribute-driven Fraud Detection with Risk-aware Graph Representation. In IEEE TKDE 2025.

PDF Cite DOI

(2025). Efficient Learning-based Graph Simulation for Temporal Graphs. In IEEE ICDE 2025.

PDF Cite DOI

(2025). Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. In ACM WWW 2025.

PDF Cite DOI

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.

Member

Current (co-)supervised Students

Ph.D Student:

(None currently)

Master Student:

  • Jin Ouyang (Zhejiang Gong Shang University) 【阿里实习】
  • Xu Jia (Zhejiang Gong Shang University) 【阿里实习】
  • Chen Fan (Zhejiang Gong Shang University)
  • Hebao Qiu (Tongji University)
  • Weihao Wang (Tongji University)

Undergraduate Student:

  • Zihe Wei (Tongji University)
  • Zilong Yang (Tongji University)
  • Haoxuan Gao (Tongji University)
  • Xijing Wang (Tongji University)

Alumni/Collaborator

Master:

  • Jiacheng Ma (Tongji University, 2022-2025, 毕业去向:微信) 【腾讯实习】
  • Yao Zou (Tongji University, 2022-2025, 毕业去向:微信) 【腾讯实习】

Bachelor:

  • Yidong Jiang (Tongji University, 2022-2026)
  • Ziwen Xu (Tongji University, 2022-2026)
  • Haoyu Lu (Tongji University, 2022-2026, 毕业去向:南京大学)
  • Xingyue Chen (Tongji University, 2022-2026, 毕业去向:同济读硕)
  • Guibin Zhang (Tongji University, 2021-2025, 毕业去向:NUS直博)
  • Chenhao Xu (Tongji University, 2018-2023, 毕业去向:北京大学)
  • Mingzhi Zhu (Tongji University, 2019-2023, 毕业去向:NYU读硕)