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), spatio-temporal and uncertain data mining (AAAI'20, TKDE'21, CIKM'22), and multimodal graph generation and beyond (PR'22, AAAI'23, TKDE'23). Now I mainly focus on graph simulation for data management and spatio-temporal data mining.

Download my resumé.

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

  • PhD in Computer Science

    University of Technology Sydney

  • BSc in Bioinformatics

    Shanghai Jiao Tong University

News

  • [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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Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang (2023). Anti-Money Laundering by Group-Aware Deep Graph Learning. In 2023 IEEE TKDE.

PDF Cite DOI

Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng (2023). Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation. In AAAI 2023 Oral.

PDF Cite Code Poster Slides Video DOI

Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang (2022). Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. In CIKM 2022 Oral.

PDF Cite Code Slides DOI

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Academic Services

Program Committee Member:

IJCAI 2023, AAAI 2024, etc.

Invited Journal Reviewer:

TNNLS, etc.

(External) Reviewer:

Conferences: KDD, VLDB, AAAI, ICDE, CIKM, KSEM, etc.

Journals: TKDE, 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.