Educational Background：

• 2024.03–2026.02: King Abdullah University of Science and Technology, Postdoctoral Researcher
• 2019.09–2023.06: Beijing University of Technology, Mathematics, PhD (Full-time)

Work Experience：

• 2026.03–Present: Shenzhen Loop Area Institute, Research Assistant Professor
• 2020.09–2021.12: Machine Intelligence Laboratory, Alibaba DAMO Academy, Research Intern

Jianqing Zhu, PhD in Mathematics, is a Research Assistant Professor at the Center for AI for Science and Engineering, Shenzhen Loop Area Institute. He previously conducted postdoctoral research at King Abdullah University of Science and Technology. His current research focuses on single-cell foundation models and virtual cells, with continued interests in large language model pretraining and alignment and scientific machine learning. His work has appeared at ACL, NeurIPS and NAACL and in journals including Neural Networks. His ACL 2025 paper was accepted for an oral presentation and selected for panel discussion. He welcomes collaborations connecting foundation models with single-cell biology and computational biology.

1. l Jianqing Zhu*, Huang Huang*, Zhihang Lin*, Juhao Liang*, Zhengyang Tang*, Khalid Almubarak, Abdulmohsen Alharthi, Bang An, Juncai He, Xiangbo Wu, Fei Yu, Junying Chen, Zhuoheng Ma, Yuhao Du, He Zhang, Emad A. Alghamdi, Lian Zhang, Ruoyu Sun, Haizhou Li, Benyou Wang, and Jinchao Xu. Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion. ACL 2025; oral presentation (8%) and panel discussion selection (0.8%). [Co-first author]
2. l Juhao Liang*, Zhenyang Cai*, Jianqing Zhu*, Huang Huang*, Kewei Zong, Bang An, Mosen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang, and Jinchao Xu. Alignment at Pre-training! Towards Native Alignment for Arabic LLMs. NeurIPS 2025. [Co-first author]
3. l Huang Huang*, Fei Yu*, Jianqing Zhu*, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, and Jinchao Xu. AceGPT, Localizing Large Language Models in Arabic. NAACL 2024. [Co-first author]
4. l Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, and HanQin Cai. S3 Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. IEEE Journal of Selected Topics in Signal Processing, 2024.
5. l Jianqing Zhu, Juncai He, and Qiumei Huang. An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations. Computational Geosciences, 2024. https://arxiv.org/abs/2302.00938
6. l Juncai He, Jinchao Xu, Lian Zhang, and Jianqing Zhu. An Interpretive Constrained Linear Model for ResNet and MgNet. Neural Networks, 2023. [Alphabetical order]
7. l Jianqing Zhu, Juncai He, Lian Zhang, and Jinchao Xu. FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting. Journal of Computational Science, 2023.
8. Jindong Wang, Jinchao Xu, and Jianqing Zhu. CNNs with Compact Activation Function. International Conference on Computational Science, 2022. [Alphabetical order]