Projects per year
Personal profile
Personal profile
Di Zhang is an Associate Professor at the School of AI and Advanced Computing, XJTLU. He received a B.S. and M.S. in Computer Science from Beihang University, and a Ph.D. in Computer Science from the Communication University of China in 2018 (supervised by Institute of Computing, CAS). He has over 15 years of working experience at world-class enterprises and institutions. His research interests now primarily focus on time series forecasting and large language models, with extensive experience in AI research and applications, including Bayesian networks, reinforcement learning, transfer learning, and data mining.
Research areas
- Machine Learning
- Time Series
- Reinforcement learning
- Large Language Models
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Investigations and Applications of Rational Activation Neural Networks
Zhang, D. (PI)
1/07/25 → 30/06/28
Project: Internal Research Project
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Enhancing AI Education through Industry-Engaged Project-Based Learning
Zhang, D. (PI)
Project: Internal Research Project
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SURF-2026-0395: Knowledge Base as Innovation Accelerator for the SDGs
Chang, Y. (PI), Lyu, C. (CoPI) & Zhang, D. (CoPI)
30/06/26 → 31/08/26
Project: Internal Research Project
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Copy Automata as a Diagnostic Tool for Pattern-Copying in Transformers: Hierarchy, Bounds, and the Limits of Hard-Attention Theory
Cheng, Y. & Zhang, D., 2027, Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings. Huang, D.-S., Zhang, Q., Pan, Y., Zhang, C., Chen, W., Li, B., Bao, W. & Premaratne, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 251-263 13 p. (Lecture Notes in Computer Science; vol. 16650 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Do Nonlinear Transformers Implement Kernel Regression In-Context? An Empirical Investigation
Wang, J. & Zhang, D., 2027, Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings. Huang, D.-S., Zhang, C., Chen, W., Pan, Y. & Premaratne, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 564-574 11 p. (Lecture Notes in Computer Science; vol. 16663 LNAI).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Example Selection for In-Context Learning via Conditional Mutual Information
Zhang, S. & Zhang, D., 2027, Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings. Huang, D.-S., Zhang, C., Chen, W., Pan, Y. & Premaratne, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 380-389 10 p. (Lecture Notes in Computer Science; vol. 16665 LNAI).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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MSTGN: Multimodal Spatio-Temporal Graph Neural Network for Telecommunication Customer Churn Prediction
Zhang, D., Xu, Y., Shi, B. & Lv, Y., 2027, Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings. Huang, D.-S., Pan, Y., Zhang, C., Chen, W., Li, B., Zhang, Q., Bao, W. & Premaratne, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 63-74 12 p. (Lecture Notes in Computer Science; vol. 16644 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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SCFT: A Dual-Domain Orthogonal Representation Framework for Efficient Time Series Forecasting
Wang, T. & Zhang, D., 2027, Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings. Huang, D.-S., Zhang, C., Chen, W., Li, B., Zhang, Q., Bao, W., Pan, Y. & Premaratne, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 261-273 13 p. (Communications in Computer and Information Science; vol. 3038 CCIS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review