About me

I am currently an Assistant Professor at the School of Software Engineering, Sun Yat-Sen University (SYSU). Previously, I worked as a postdoctoral researcher with Professor See-Kiong Ng at the Institute of Data Science (IDS), National University of Singapore (NUS). I obtained my Ph.D. in 2017 from Nanyang Technological University (NTU), under the supervision of Professor Hu Guoqiang and Professor Costas J. Spanos from the University of California, Berkeley (UCB). Prior to that, I received my Bachelor's degree from the University of Electronic Science and Technology of China (UESTC).

My current research interests include data-centric AI, time series data analysis, and related vertical applications.

I am also interested in anomaly detection and fault diagnosis in the industrial field, such as CPS and IIoT.

I am looking for self-motivated undergraduate interns and graduate students with solid mathematical backgrounds and coding skills. 

My research team is recruiting post-doc researchers!

Feel free to drop me an email with your CV if interested. 

What's New

July 2025: I am serving as a track chair of PHM 2025.

July 2025: One paper is accepted to CIKM 2025.

June 2025: One paper is accepted to USENIX Sec.

May 2025: I was invited to give a talk at Blocksys 2025.

May 2025: I was invited to give a talk at ICSS 2025.

March 2025: Our paper ``LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance '' was accepted by FSE 2025.

November 2024: Our paper ``BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction'' got the best student paper award at EAI CollaborateCom 2024!

Publications

#-indicates student collaborators

J. Tan#, G. K. Rajbahadur, Z. Li, X. Song, J. Lin, D. Li, Z. Zheng, A. E. Hassan, LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance, FSE, 2025.  

Z. Zhang#, D. Li, S. Wu#, J. Cai#, B. Zhang, S. K. Ng, Z. Zheng, BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction, CollaborateCom, 2024. 

G. Tu#, D. Li,  S. Ng, Z. Zheng, GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series, DASFFA, 2024.

R. Hu#, D. Li,  S. Ng, Z. Zheng, CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks, DASFFA, 2023. 

P. Qi#, D. Li, and S. Ng. MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks, ICDE, 2022.