About

About Me

I’m Jianhang Xie (谢建行), I will be a 25fall Ph.D. student in Computer Scicence at City University of Hong Kong, under Prof. Zhichao Lu.
I have received the B.Eng. degree and master’s degree in Computer Science and Technology from Beijing Jiaotong University in 2022 and 2025, respectively.
If you are interested in my works, please contact my email: xiejianhang@bjtu.edu.cn, it would be my great honor.

About Laboratory and Research

My Ph.D. supervisor is Prof. Zhichao Lu.
My master supervisors are Prof. Yidong Li and Prof. Chuntao Ding.
My research interests include Secure Inference, Efficient DL, and Edge/On-Device AI.

Publications

• Jianhang Xie, Chuntao Ding, Xiaqing Li, Shenyuan Ren, Yidong Li, Zhichao Lu, “NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN,” IEEE Transactions on Mobile Computing, 2025, pp.1-15, Early Access. DOI ArXiv
• Jianhang Xie, Chuntao Ding, Qingji Guan, Ao Zhou, Yidong Li, “ReFrame: A Resource-Friendly Cloud-Assisted On-Device Deep Learning Framework for Vision Services,” IEEE Transactions on Services Computing, vol.18, no.3, pp.1711-1723, 2025. DOI
• Jianhang Xie, Chuntao Ding, Shenyuan Ren, Yidong Li, “Multi-Vision Services Acceleration Framework for IoT Devices,” in Proceedings of the IEEE International Conference on Web Services, 2024, pp.888-898. DOI

Preprints

• Chuntao Ding, Jianhang Xie, Junna Zhang, Salman Raza, Shangguang Wang, Jiannong Cao, “GroupNL: Low-Resource and Robust CNN Design over Cloud and Device.” ArXiv
• Chuntao Ding, Xu Cao, Jianhang Xie, Linlin Fan, Shangguang Wang, Zhichao Lu, “LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices.” ArXiv

For More Information

More information about me can see links below, which might also be helpful.

Github Pages theme is forked from academicpages.

Google Scholar / ORCID / Github / DBLP / IEEEXplore