About

About Me

I am Jianhang Xie (谢建行), a PhD student in the Department of Computer Science at City University of Hong Kong (CityU), supervised by Prof. Zhichao Lu.
Prior to that, I obtained my BEng and MEng degree in Computer Science and Technology from Beijing Jiaotong University (BJTU) in 2022 and 2025, respectively.
I would be honored if you are interested in my work. Please feel free to reach out to me via the following emails:
jianhang.xie[AT]my.cityu.edu.hk or xiejianhang[AT]bjtu.edu.cn

About Laboratory and Research

My PhD supervisor is Prof. Zhichao Lu. I am also a member of the Optima Group@CityU, led by Prof. Qingfu Zhang and Prof. Zhichao Lu.
My master supervisor is Prof. Yidong Li, and under the co-supervision of Prof. Chuntao Ding.
My research interests include Secure Inference (especially in Efficient FHE Neural Network & FHE Inference System) and Efficient Deep Learning Systems.

Publications / Preprints

  • ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour.
    Jianhang Xie, Sicheng Tan, Vishnu Naresh Boddeti, Zhichao Lu,
    arXiv preprint arXiv:2607.23478, 2026.
    [ArXiv] [ePrint] [Github]

  • GroupNL: Low-Resource and Robust CNN Design over Cloud and Device.
    Chuntao Ding#, Jianhang Xie#,*, Junna Zhang*, Salman Raza, Shangguang Wang, Jiannong Cao,
    IEEE Transactions on Mobile Computing, vol.25, no.7, pp.9534-9548, 2026.
    (TMC, CCF-A) [DOI] [ArXiv] [Github]

  • NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN.
    Jianhang Xie, Chuntao Ding, Xiaqing Li, Shenyuan Ren, Yidong Li, Zhichao Lu,
    IEEE Transactions on Mobile Computing, vol.24, no.11, pp.12088-12102, 2025.
    (TMC, CCF-A) [DOI] [ArXiv] [Github]

  • ReFrame: A Resource-Friendly Cloud-Assisted On-Device Deep Learning Framework for Vision Services.
    Jianhang Xie, Chuntao Ding, Qingji Guan, Ao Zhou, Yidong Li,
    IEEE Transactions on Services Computing, vol.18, no.3, pp.1711-1723, 2025.
    (TSC, CCF-A) [DOI] [PDF] [Github]

  • Multi-Vision Services Acceleration Framework for IoT Devices.
    Jianhang Xie, Chuntao Ding, Shenyuan Ren, Yidong Li,
    in Proceedings of the IEEE International Conference on Web Services, 2024, pp.888-898.
    (ICWS, CCF-B) [DOI] [PDF] [Github]

  • LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices.
    Chuntao Ding, Xu Cao, Jianhang Xie, Linlin Fan, Shangguang Wang, Zhichao Lu,
    arXiv preprint arXiv:2410.16954, 2024.
    [ArXiv] [Github]

#: Contributed equally to this work.
*: Corresponding author.

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