Hi, I am Liwei Deng (邓力玮), a first-year Ph.D. student at the Australian Artificial Intelligence Institute (AAII), University of Technology Sydney (UTS), supervised by Prof. Guodong Long.

Previously, I received my B.Eng. degree (with Honors) from the College of Electronics and Information Engineering, Shenzhen University (SZU) in 2025.

My research interests include Recommendation System and Time Series Forecasting.

🔥 News

📌 News (click to expand)

2026.04.22 🎉🎉 My Google Scholar citations have reached 100! Thanks to all the researchers for their interest in our work.
2026.04.08 🎉🎉 I was excited to join AAII at the UTS as a Ph.D. student! Looking forward to an exciting research journey!
2026.01.15 🎉🎉 I was granted my student visa and will commence my PhD studies at the UTS in April 2026.
2025.07.01 🎉🎉 I graduated from Shenzhen University with an Honors Degree and received the Outstanding Graduate Award.
2025.02.22 🎉🎉 I received my first citation on Google Scholar.
2021.09.01 🎉🎉 I began my undergraduate studies at Shenzhen University (SZU).

📝 Publications

* equal contribution; ^† Corresponding author

TII 2026

Liwei Deng, Hao Wang^†, et al., “STD2Vformer: A Free-Form Spatiotemporal Forecasting Model,” published by IEEE Transactions on Industrial Informatics (TII) Project PDF

TNNLS 2025

Xiaobao Song, Hao Wang^†, Liwei Deng, et al.,”D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding” published by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Project PDF 中文解读

RA-L 2025 & ICRA 2026

Shiyao Zhang, Liwei Deng, Shuyu Zhang^†, Weijie Yuan^†, and Hong Zhang, “Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy” published by IEEE Robotics and Automation Letters (RA-L) PDF

Artificial Intelligence Review 2024

Xiaobao Song, Liwei Deng, Hao Wang^† and et al. “Deep Learning-based Time Series Forecasting” published by Artificial Intelligence Review Project PDF

计算机工程与应用 2024

宋晓宝，邓力玮，王浩^†等人 “基于深度学习和时序拆解的长期时序预测模型” published by 计算机工程与应用 (北大核心) Project PDF

Under Review:

Liwei Deng, Hao Wang^† and et al.“Patch Attention Based Adaptive Multihead Graph Convolutional Networks for Traffic Flow Forecasting” submitted to IEEE Transactions on Artificial Intelligence (TAI) Project
Liwei Deng*, Qingxiang Liu^* †, Xinhe Niu, Shengchao Chen, Sheng Sun, Yuankai Wu, Guodong Long, Yuxuan Liang^†.“Discrete Prototypical Memories for Federated Time Series Foundation Models” Project PDF

📖 Educations

	University of Technology Sydney (UTS) Australian Artificial Intelligence Institute (AAII) PhD. Student, supervised by Prof. Guodong Long. 2026.04 - Present
	Shenzhen University (SZU) College of Electronics and Information Engineering Graduated with Honors Degree and Awarded Outstanding Graduate Honor of SZU 2021.09 - 2025.07

💻 Internships

2025.10 - 2026.04, Research Assistant, The Hong Kong University of Science and Technology (Guangzhou)
- Supervised by Prof. Yuxuan Liang, and worked closely with Dr. Qingxiang Liu.
2025.05 - 2025.09, Research Intern, China Southern Power Grid Co., Ltd & Great Bay University (GBU)
- Supervised by Prof. Kaixuan Qiu, Prof. Shiyao Zhang, and Prof. Guanhua Chen.
- Topic: RAG system and LLM application development.
2024.09 - 2025.09, Visiting Student, Great Bay University
- Supervised by Prof. Shiyao Zhang, and worked closely with Dr. Shuyu Zhang.
2022.09 - 2025.01, Research Assistant, Shenzhen University
- Supervised by Prof. Hao Wang, and worked closely with Mr. Xiaobao Song.

🎖 Honors and Awards

2025.07, Outstanding Graduate, Shenzhen University
2025.07, Graduated with Honors, Shenzhen University

Liwei Deng

🔥 News

📝 Publications

📖 Educations

💻 Internships

🎖 Honors and Awards

💬 Invited Talks