Sheng Xiang

Sheng Xiang

Assistant Professor

Tongji University

Biography

Sheng Xiang (向声) is currently a tenure-track assistant professor 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 Generative AI for Graphs and Graph Simulation for LLMs.

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I am actively looking for self-motivated M.S./Undergraduate students in the areas of AI for data synthesis and large foundation models for graphs, and simulation for inference-optimal LLM, welcome to contact me at xiangsheng [AT] tongji.edu.cn or xiangsheng1325 [AT] sjtu.edu.cn.

Interests
  • Simulation for Inference-Optimal LLM
  • LLM for Graph/Trajectory Simulation
  • Efficient Tabular Data Simulation
Education

  • PhD in Computer Science

    University of Technology Sydney

  • BSc in Bioinformatics

    Shanghai Jiao Tong University

News

  • [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

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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.

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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.

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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.