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Short Bio
Dr. Mingzhe Zhang currently serves as the Deputy Director of Computing System Lab, Ant Research. Before joining Ant Group, Dr. Mingzhe Zhang was an Associate Professor at the Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS) from April 2021 to May 2024, and an Assistant Professor at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS) from July 2018 to April 2021. Mingzhe graduated from ICT, CAS with a Ph.D. degree in 2018, Inner Mongolia University with M.S. degree in 2013, and Nanjing University of Posts and Telecommunications with a B.E. in 2008. From 2015 to 2017, he was at the University of Chicago as a visiting scholar, under the supervision of Prof. Frederic T. Chong.
Click here to see the up-to-date version of my CV.
Research Interests
I do research in Computer Architecture and Bigdata-oriented System, including:
- Non-Volatile Memory,
- Memory-Centric Architecture and system,
- Emerging Technology,
- Domain-specific Accelerators
- Hardware Support for Security and Privacy.
Updates
- [2026-11-03] Our three paper “HELM: A Scalable Multi-GPU System for Homomorphic LLM Inference”, “FCS: Frontier-based Commit-time Synchronization Method for Modular Simulators”, and “FORGE: FAFFT-Optimized Ring Arithmetic for GPU Execution of HQC and BIKE” have been accepted by HPCA 2027! Congratulations to all!
- [2026-10-28] Our paper “Accelerating Fully Homomorphic Encryption for Large Language Model Inference on Multi-GPU Systems” has been accepted by PPoPP 2027! Congratulations to all collaborators!
- [2026-10-19] One collaboration paper “A Cross-Layer Simulation Framework for Protocol Efficiency and Architecture Exploration in Scalable CXL Fabrics” has been accepted by ACM Transactions on Computer Systems (TOCS)! Congratulations to all collaborators!
- [2026-10-07] Our paper “Taiyi: An Accelerator Architecture Optimized for Advanced KeySwitch in FHE” has been accepted by IEEE Transactions on Computers! Congratulations to all!
- [2026-09-01] Our paper “Investigation of Karatsuba Algorithm for Large-Bitwidth Modular Multiplication” has been accepted by ASP-DAC 2027! Congratulations to all!
- [2026-08-04] Our paper “HPAO: Polynomial-Level Optimization for RNS–CKKS Programs” has been accepted by CGO 2027! Congratulations to all!
- [2026-07-31] Our paper “ArborDorp: An Area Efficient CKKS Accelerator” has been accepted by IEEE TCAD! Congratulations to all!
- [2026-07-18] Our paper “ROSETTA: Efficient and Accurate Privacy-Preserving LLM Decoding via Hybrid CKKS/TFHE Evaluation” has been accepted by ACM CCS 2026! Congratulations to all!
- [2026-07-08] Our papers “LUTHE: Breaking the Memory Wall of High-Precision Encrypted LLM Nonlinearities via GPU–CSD Co-Design” and “Helios: Melting Kernel Boundaries for GPU-Accelerated HE via Graph Rewriting and Microarchitecture-Aware Mapping” have been accepted by MICRO 2026! Congratulations to all!
- [2026-06-23] Our paper “CACO: Chiplet-based FHE Acceleration with Inter-Chiplet Communication Optimizations” has been accepted by IEEE TCAD! Congratulations to all!
[Last Update: Nov-15-2026]
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