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Jiawei Shao, Professor
Title: NSFC’s Excellent Young Scientists Fund (Overseas)
Academic Profile: [Google Scholar] [Personal Homepage]
Research Interests: Large Multimodal Models, Edge Intelligence
Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China
Zip Code: 710072
E-mail: jiawei.shao@nwpu.edu.cn
Openings
We are looking for self-motivated postgraduate students, undergraduate students, and postdoctoral fellows to join our research on large AI models, with a particular focus on edge AI applications. If you are interested in joining our group, please send your CV, transcripts, rankings, and representative publications (if any) to jiawei.shao@nwpu.edu.cn. More information is available here.
Education
| 2019-2024 | Hong Kong University of Science and Technology | Electronic and Computer Engineering | Ph.D. |
| 2015-2019 | Beijing University of Posts and Telecommunications | Telecommunication Engineering | BEng |
Work Experience
| 2026-Present | Northwestern Polytechnical University | Professor |
| 2024-2026 | The Institute of Artificial Intelligence (TeleAI), China Telecom | Research Scientist |
What's New
C. Yuan, Z. Liu, J. Lv, J. Shao, Y. Jiang, J. Zhang, and X. Li, "Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference," IEEE Transactions on Mobile Computing, vol. 25, no. 4, pp. 4762-4775, 2026.
C. Chen, J. Shao, D. Lu, H. Hu, X. Liu, H. Yao, and W. Liu, "GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents," Proceedings of the AAAI Conference on Artificial Intelligence, Singapore, 2026.
Y. Tan, J. Shao, E. Zamfir, R. Li, Z. An, C. Ma, D. Paudel, L. Gool, R. Timofte, and Z. Wu, "What You Have is What You Track: Adaptive and Robust Multimodal Tracking," Proceedings of the IEEE/CVF International Conference on Computer Vision, Honolulu, HI, USA, 2025.
T. Zhu, S. Zhang, J. Shao, and Y. Tang, "KV-Edit: Training-Free Image Editing for Precise Background Preservation," International Conference on Computer Vision, Honolulu, HI, USA, 2025.
W. Huang, J. Liang, G. Wan, D. Zhu, H. Li, J. Shao, M. Ye, B. Du, and D. Tao, "Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning," Proceedings of the International Conference on Machine Learning, Vancouver, BC, Canada, 2025.
H. Li, J. Shao, H. He, S. Song, J. Zhang, and K. B. Letaief, "Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck," IEEE Journal on Selected Areas in Communications, vol. 43, no. 7, pp. 2667-2683, 2025.
J. Shao, and X. Li, "AI Flow at the Network Edge," IEEE Network, vol. 40, no. 1, pp. 330-336, 2025.
Representative Papers
J. Shao, F. Wu, and J. Zhang, “Selective Knowledge Sharing for Privacy-Preserving Federated Distillation Without a Good Teacher,” Nature Communications, vol. 15, no. 1, pp. 349-359, 2024.
J. Shao, X. Zhang, and J. Zhang, “Task-Oriented Communication for Edge Video Analytics,” IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 4141-4154, 2024.
J. Shao, Y. Mao, and J. Zhang, “Task-Oriented Communication for Multi-Device Cooperative Edge Inference,” IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 73-87, 2023.
J. Shao, Y. Mao, and J. Zhang, “Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp. 197-211, 2022.
J. Shao, Y. Sun, S. Li, and J. Zhang, “DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing,” Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022.
Y. Xie, J. Yi, J. Shao, J. Curl, L. Lyu, Q. Chen, X. Xie, and F. Wu, “Defending ChatGPT against Jailbreak Attack via Self-Reminder,” Nature Machine Intelligence, vol. 5, no. 12, pp. 1486-1496, 2023.
Honors and Awards
NSFC’s Excellent Young Scientists Fund (Overseas)
World's Top 2% Scientists by Elsevier/Stanford University
IEEE Communications Society Katherine Johnson Young Author Best Paper Award [Award Information]
Winner of the School of Engineering (SENG) PhD Research Excellence Award 2023-24 at the Hong Kong University of Science and Technology (HKUST) [Award Information]
HKTIIT Post-Graduate Excellence Scholarships
Academic Services
Organizing the workshop "AI Flow: Towards Ubiquitous Intelligence in the Era of Large Foundation Models" at IEEE GLOBECOM. [Webpage]
Delivered a keynote presentation titled "AI Flow - Towards Connected Intelligence via Networked Familial Models" at WBBA BDC Shanghai 2025.
Gave a poster presentation titled "EdgeGPT: GPT-Empowered Autonomous Edge Inference" at the IEEE Hong Kong 6G Wireless Summit.
Journal Reviewer: IEEE Journal on Selected Areas in Communications (JSAC), IEEE Transactions on Wireless Communications (TWC), IEEE Transactions on Mobile Computing (TMC).
Conference Reviewer: International Conference on Machine Learning (ICML), International Conference on Learning Representations (ICLR), Conference on Neural Information Processing Systems (NeurIPS), Association for the Advancement of Artificial Intelligence Conference (AAAI), IEEE Global Communications Conference (GLOBECOM), IEEE International Conference on Communications (ICC).