Jianhang XIE

Jianhang XIE

About

About Me

I am Jianhang Xie (谢建行), a PhD student at Department of Computer Science, City University of Hong Kong (CityU), under the supervision of Prof. Zhichao Lu.
Before joining CityU, I received my BEng degree and MEng degree in Computer Science and Technology from Beijing Jiaotong University (BJTU) in 2022 and 2025, respectively.
If you are interested in my works, please contact my email:
jianhang.xie[AT]my.cityu.edu.hk or xiejianhang[AT]bjtu.edu.cn
it would be my great honor.

About Laboratory and Research

My PhD supervisor is Prof. Zhichao Lu, at Optima Group@CityU.
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] [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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