Yuncong Hu

Yuncong Hu is an Assistant Professor at Shanghai Jiao Tong University specializing in applied cryptography, decentralized systems, and zero-knowledge proofs. Previously, he completed his Ph.D. at UC Berkeley's RISE Lab under Prof. Raluca Ada Popa and Prof. Alessandro Chiesa, and earned his Bachelor's degree from Shanghai Jiao Tong University in 2017 as a member of the ACM Honored Class.

His educational background includes:

• Ph.D. in Computer Science, UC Berkeley (RISE Lab), advised by Prof. Raluca Ada Popa and Prof. Alessandro Chiesa
• Bachelor's degree in Computer Science, Shanghai Jiao Tong University, 2017 (ACM Honored Class)

Dr. Hu's research focuses on practical cryptographic systems, particularly zero-knowledge proofs (zkSNARKs), with emphasis on efficiency, versatility, and real-world deployment. His work bridges theoretical cryptography with system implementation, addressing challenges in decentralized trust, secure computation, and privacy-preserving protocols. Key contributions include foundational work on preprocessing zkSNARKs, transparency log systems, and cryptographic primitives for emerging applications.

Analysis of his 15 most recent publications (2020-2025) reveals a dominant focus on zkSNARKs optimization and novel applications, with significant contributions to vector commitments, range proofs, and federated learning security. His research trajectory shows increasing diversification into AI security (LLM fingerprinting) and hardware-aware cryptographic implementations while maintaining core expertise in proof systems. Publications consistently appear in top venues including Eurocrypt, S&P, and NeurIPS, demonstrating both theoretical rigor and practical impact.

No scientific awards are mentioned in the provided information.

Dr. Hu has not listed current advisees or major grants in the provided materials, but his active open-source contributions (arkworks, Merkle^2, Gemini) and program committee service for Asiacrypt 2023 and USENIX Security 2024 indicate ongoing research leadership. His work shows strong industry relevance through implementations targeting real-world constraints in IoT and decentralized systems.

During his doctoral work at UC Berkeley's RISE Lab, he contributed to security-focused systems research. At Shanghai Jiao Tong University, he leads research advancing cryptographic protocols for next-generation applications, with particular emphasis on making zero-knowledge proofs accessible across diverse computing environments through projects like the arkworks ecosystem.