Junxu Liu, Jiatong Li, Yifeng Zheng, Jintai Zhu. ''Faithful Privacy Accounting for Record-level Personalized Federated Learning '' *Manuscript in preparation* (Targeting IEEE TDSC). [Student First Author]

Jiatong LI, Jipeng Zhang, Jiaheng Zhang. '''BabaBear:SumCheck: Optimized SumCheck using Baba Bear Prime with ARM SVE2. '' *Manuscript in preparation* (Targeting IACR TCHES).

J. Li, B. Yang, W. Huang and L. Zhao, "An Anonymous Identity Authentication Scheme Integrating Trust Determination for Cloud-Edge Collaborative Task Scheduling," 2024 5th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI),Nanchang, China, 2024.

March. 2026 – June 2026：

Remote Research Assistant ｜The Hong Kong Polytechnic University   

Collaborated with Professor Junxu Liu and Professor Yifeng Zheng, focusing primarily on data utility in cross-silo Federated Learning. Conducted theoretical derivations and completed code implementations for existing theoretical frameworks. Planned future research targeting privacy leakage in AI Alignment.

Sept. 2025 – Present：

MSc Students | National University of Singapore                                                                                     

Currently working with Prof. Jiaheng Zhang on high-performance cryptography. My primary focus is optimizing the Sumcheck Protocol using AVX2/SVE2/NEON Intrinsics to accelerate Zero-Knowledge Proof generation. Our work is targeting top-tier hardware security conferences (IACR TCHES)

Feb. 2025 – June 2025：

Cryptographic technician Intern | Beijing Haomi Technology Co., Ltd.                                                      

Analyzed cryptographic algorithms, protocols, and commercial cryptography standards. Researched encryption mechanisms, potential vulnerabilities, and deployment challenges of SSL, IPsec, and SSH. Contributed to developing secure application system solutions, applying cryptographic techniques to secure communications, ensure data integrity, and protect user privacy.

Sept. 2023 – July 2024 

Research Assistant | Shaanxi Key Laboratory of Blockchain and Cryptography                                             

Conducted cryptographic development under the supervision of Prof. Zhao Yanqi, focusing on blockchain-based accountable protocols and the study of ShangMi (SM) algorithms.

High-Performance Implementation of the Sumcheck Protocol using AVX Intrinsics (Master's Dissertation)

Singapore | January 2026

• This study primarily focuses on the low-level hardware optimization for the PIOPs in Zero-Knowledge Proofs. By replacing the mainstream Goldilocks field with the BabyBear field and implementing SIMD optimization via AVX2 instruction sets, this work significantly enhances the performance of the existing sum-check protocol, making it better suited for current blockchain Layer 2 scaling solutions.

Publicly Auditable IoT Identity Authentication via Blockchain (Undergraduate Dissertation)                                

Xi'an, China | May 2025

• Designed a robust, decentralized identity authentication system for resource-constrained IoT environments.

• Integrated Solidity smart contracts with ZoKrates to connect fog nodes with Ethereum.

• Achieved public auditability while preserving user privacy.

SM2-Based Distributed Anonymous Authentication System (National Competition)                                   

Xi'an, China | Sept. 2024

• Supported by the National Undergraduate Innovation and Entrepreneurship Training Program.

• Implemented a distributed authentication system using SM2, Threshold Cryptography, and Zero-Knowledge Proofs.

• Responsible for cryptographic algorithm design and front-end system development.

Digital Identity Regulatory System Based on Privacy-Preserving Blockchain                                             

Xi'an, China | May 2023

• Supported by the National Undergraduate Innovation and Entrepreneurship Training Program.

• Developed a regulatory system utilizing Blockchain, ElGamal Encryption, and anonymous identity tracking techniques.

• Led the complete system implementation and cryptographic design.

Privacy-Preserving Data Classification System 

Xi'an, China | Nov. 2022

• Designed a secure data classification scheme utilizing ElGamal encryption and Bilinear Pairings (Bilinear Mapping).

• Responsible for the design of core cryptographic primitives to ensure data confidentiality during classification.

• Led the front-end development and user interface (UI) design, implementing the system prototype for demonstration.