I am a Research Scientist at Shanghai TreeGraph Blockchain Research Institute (Conflux), where I have been a founding member and core developer since 2018. I received my Ph.D. from Tsinghua University, advised by Professor Andrew Chi-Chih Yao.

My research focuses on the security and performance of blockchain systems, with particular interest in consensus protocols, authenticated storage, and the application of cryptographic primitives to decentralized systems. I design core features of the Conflux blockchain and have contributed to key developments including PoW/PoS hybrid consensus, heterogeneous VM interoperation, and on-chain governance.

Experience

Research Scientist & Core Developer
Jul 2018 — Present
Shanghai TreeGraph Blockchain Research Institute (Conflux)
Founding employee and core system developer. Responsible for algorithm research, protocol design, module optimization, and system development for the TreeGraph blockchain.
TreeGraph Consensus PoW/PoS Hybrid Dual-Space Mechanism HEMVM Interop Ethereum Compatibility

Education

Ph.D. in Computer Science, Tsinghua University
2017 — 2022
Advised by Professor Andrew Chi-Chih Yao (Turing Award, 2000). Thesis: Protocols and Algorithms for Secure, High-Performance Blockchains.
B.S. in Computer Science, Tsinghua University
2013 — 2017
Yao Class — an elite CS program founded by Turing Award laureate Professor Andrew Chi-Chih Yao.

Publications

11 papers at venues including OSDI, OOPSLA, USENIX ATC, and SoCC

Research Projects

Ultra-Large-Scale Blockchain Key Technologies and System Development
2023 — 2026
National Key R&D Program of China · Principal Investigator
Post-Quantum Public Chain Prototype System Design and Implementation
2023 — 2025
Shanghai “Sci-Tech Innovation” Action Plan · Principal Investigator
Key Technologies for Distributed Trusted Data Storage
2021 — 2024
Shanghai AI Science and Technology Support Program · Lead Researcher

Open Source

Core node implementation of the Conflux blockchain. Integrates TreeGraph consensus, ShRec transaction relay, PoW/PoS hybrid consensus, and dual-space execution layer.
Implementation and modular benchmarks for the LVMT paper (OSDI 2023). Supports flexible combinations of KV backends, authenticated storage protocols, and test workloads.