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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.

After a long journey of 16 years in the Chinese Academy of Sciences (CAS), I will start the next stage of my career. My next stop will be the director of the Computing System Laboratory at Ant Research.

I would like to appreciate the education I have received from the three institutes (ISCAS, ICT, and IIE) of the CAS over the past 16 years. In CAS, I have grown from a student to a researcher, and from a young man to a responsible man. I will take the concept of “scientific research for the country, innovation benefits the people” as a lifelong creed, and always regard this place as another home. I want to thank all the teachers, classmates, friends and students for their trust, encouragement and support over the past 16 years. Your help has made me who I am today.

I also want to thank the Ant Research for their trust and invitation, allowing us to work together to promote the development of homomorphic encryption technology in the coming years, contributing our small power to a better world.

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

• [2025-12-20] Our collaboration paper “Libra: Pattern-Scheduling Co-Optimization for Cross-Scheme FHE Code Generation over GPGPU” has been accepted by USENIX Security 2026! Congratulations to all collaborators!
• [2025-12-18] Our paper “Binary Subscript Representation and Efficient Pipelined Number Theoretic Transform” has been accepted by the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems! Congratulations to all!
• [2025-12-08] Our collaboration paper “Xerxes: Extensive Exploration of Scalable Hardware Systems with CXL-Based Simulation Framework” has been accepted by FAST 2026! Congratulations to all collaborators!
• [2025-11-26] Our paper "Falcon: Algorithm-Hardware Co-Design for Efficient Fully Homomorphic Encryption Accelerator" has been accepted by ASPLOS 2026! This is our 10th paper on FHE acceleration in the top-tier computer architecture conference. Congratulations to all!
• [2025-11-08] Our paper “An Efficient and Scalable Hardware Architecture for Number Theoretical Transform on FPGA with Design Automation” has been accepted by HPCA 2026! Congrats to all!
• [2025-11-08] Our paper “ FHEFusion: Enabling Operator Fusion in FHE Compilers for Depth-Efficient DNN Inference” has been accepted by CGO 2026! Congrats to all collaborators!
• [2025-10-29] Our paper “ TensorFHE+: Fully Homomorphic Encryption Acceleration based on Linear Algebra”, which is the extension and enhanced version of TensorFHE (HPCA 2023), has been accepted by IEEE Transactions on Computers! Congrats to all collaborators!
• [2025-10-23] Our paper “ Analysis of Bit-Flip Attacks on Encrypted Neural Networks” has been accepted by ICPADS 2025! Congrats to all collaborators!

More…

[Last Update: Dec-20-2025]

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