CTO, Ant Digital Technologies Dr. Ying Yan, Chief Technology Officer of Ant Digital Technologies, is a leading expert in blockchain. She has made significant contributions to the research and industrialization of blockchain, secure computing, and database technologies, with over 100 patent applications and more than 60 papers published in top-tier international conferences and journals. She is the author of Mastering Ethereum: Technology and Practice. She led her team in building a high-performance, self-developed blockchain infrastructure, achieving 200,000+ CTPS in consortium chain scenarios — setting a record in Trusted Blockchain Performance Evaluations — and was recognized as the sole "Leader" in the Forrester Wave™ 2022 Report on Enterprise Blockchain Platforms. Her team has held the world’s #1 ranking in blockchain patents for multiple consecutive years, and led the development of key international standards, including IEEE standards on cross-chain interoperability and blockchain & data circulation, and ITU standards on privacy protection. She founded ZAN – a Web3 cloud service that now handles over 1 billion API calls per day, recognized as Asia’s Most Popular Technology Service. In 2025, her team launched Jovay, an Ethereum Layer 2 network, with breakthroughs in high-assurance proving systems and high- performance parallel execution. Jovay delivers a high-throughput, low-latency, and secure foundation for Real-World Asset (RWA) tokenization, stablecoin payments, and Web3 ecosystems, driving the evolution of trust infrastructure in the digital economy era. Recognized as one of Forbes China’s Top 50 Women in Tech (2019), she currently serves as an expert member of the CAC Blockchain Pilot Project Expert Group, Chair of the IEEE Cross-Chain Interoperability Standards Working Group, and a Standing Committee Member and Distinguished Member of the China Computer Federation (CCF) Blockchain Committee. She also holds positions as Principal Researcher at the State Key Laboratory of Blockchain and Data Security (Zhejiang University) and Industry Doctoral Supervisor at East China Normal University. Prior to joining Ant Group, she was a Lead Researcher and Head of Blockchain at Microsoft Research Asia, where she gained extensive experience in cloud computing and large-scale data analytics. Award Forbes China Top 50 Women in Tech, 2019 Second Prize, Zhejiang Provincial Scientific and Technological Progress Award, 2019 Outstanding Award, CCF Science and Technology Progress Award, 2021 3rd Place, iDash Fully Homomorphic Encryption Track, 2022 Third Prize (Innovation Track), Financial Cryptography Cup 2022 Torchbearer, Hangzhou 2023 Asian Games, 2023 1st Place, iDash Fully Homomorphic Encryption Track, 2023 Selected publication S. Wang, K. Gai, J. Yu, L. Zhu, H. Wu, Y. Yan et al.: RAFLS: RDP-Based Adaptive Federated Learning With Shuffle Model. IEEE TDSC, 2025. X. Meng, X. Sui, Z. Yang, K. Rong, W. Xu, Y. Yan et al.: Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon. NDSS, 2025. J. He, K. Yang, G. Tang, Z. Huang, L. Lin, Y. Yan et al.: Rhombus: Fast Homomorphic Matrix-Vector Multiplication for Secure Two-Party Inference. CCS, 2024. G. Tang, S. Han, L. Lin, C. Wei, Y. Yan: Batch Range Proof: How to Make Threshold ECDSA More Efficient. CCS, 2024. P. Qiu, G. Wu, T. Chu, C. Wei, R. Luo, Y. Yan: MSMAC: Accelerating Multi-Scalar Multiplication for Zero-Knowledge Proof. DAC, 2024. H. Wang, C. Xu, X. Chen, C. Zhang, H. Hu, Y. Yan: V2FS: A Verifiable Virtual Filesystem for Multi-Chain Query Authentication. ICDE, 2024. S. Tian, Z. Lu, H. Zhuo, X. Tang, P. Hong, Y. Yan: LETUS: A Log-Structured Efficient Trusted Universal BlockChain Storage. SIGMOD Companion, 2024. G. Wu, Q. He, J. Jiang, Z. Zhang, Y. Shi, Y. Yan: E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption. IEEE Micro, 2023. Y. Liu, L. Yuan, Z. Chen, Y. Yu, Z. Zhang, Y. Yan: ChainDash: An Ad-Hoc Blockchain Data Analytics System. VLDB, 2023. G. Wu, Q. He, J. Jiang, Z. Zhang, Y. Zhao, Y. Yan: Topgun: An ECC Accelerator for Private Set Intersection. ACM TRETS, 2023. X. Qi, Z. Chen, H. Zhuo, Q. Xu, C. Zhu, Y. Yan: SChain: Scalable Concurrency over Flexible Permissioned Blockchain. ICDE, 2023. S. Liu, W. Xu, C. Shan, X. Yan, T. Xu, Y. Yan: Flexible Advancement in Asynchronous BFT Consensus. SOSP, 2023. P. Zheng, Q. Xu, Z. Zheng, X. Luo, W. Zheng, Y. Yan: Meepo: Multiple Execution Environments per Organization in Sharded Consortium Blockchain. IEEE JSAC, 2022. P. Zheng, Q. Xu, Z. Zheng, Z. Zhou, X. Luo, Y. Yan: Aeolus: Distributed Execution of Permissioned Blockchain Transactions via State Sharding. IEEE TII, 2022. Y. Yan, C. Wei, H. Zhang, G. Jiang et al: Confidentiality Support over Financial Grade Consortium Blockchain. SIGMOD 2020. Y. Zhu, Z. Zhang, C. Jin, A. Zhou, Y.Yan: SEBDB: Semantics Empowered BlockChain DataBase . ICDE 2019. A. Koshiba, Y. Yan, Z. Guo, et al:TEE-KV: Secure Immutable Key-Value Store for Trusted Execution Environments. SoCC 2018. W.Lu, J. Hou, Y.Yan, M.Zhang, et al: MSQL: efficient similarity search in metric spaces using SQL. VLDB J (2017) Y.Li, K. Zheng, Y.Yan, Q.Liu, X. Zhou: EtherQL: A Query Layer for Blockchain System. DASFAA (2) 2017: 556-567 H. Bian, Y. Yan, et al: Big Wide Table Layout Optimization based on Column Ordering and Duplication. Sigmod 2017. Y. Yan, Y. Gao, Y. Chen, T. Moscibroda, et al: TR-Spark: Transient Computing for Big Data Analytics. SOCC 2016. Y. Yan, J. Zhang, T. Moscibroda, et al: Distributed Outlier Detection using Compressive Sensing. Sigmod 2015. J. Zhang, Y. Yan, et al: Compressive Sensing-based Storage for Big Data Analytics. HotCloud 2014. Y. Yan, LJ. Chen, Z. Zhang: Error-bounded Sampling for Analytics on Big Sparse Data. VLDB 2014. Y. Yan, W-S. Li: Correlation aware synchronization for near real time decision support systems. EDBT 2010. Y. Yan, J. Zhang: Scheduling for Fast Response Multi-pattern Matching over Streaming Events. ICDE 2010. Y. Yan, W-S. Li, J. Xu: Information Value-Driven Near Real-Time Decision Support Systems. ICDCS 2009. Y. Yan, C. Wang, A. Zhou, et al: Efficient Indices Using Graph Partitioning in RDF Triple Stores. ICDE 2009. Y. Yan, B C. Ooi, A. Zhou: Continuous Content-Based Copy Detection over Streaming Videos. ICDE 2008. A. Zhou, Y. Yan, et al: SMART: A System for Online Monitoring Large Volumes of Network Traffic. ICDE 2008. Y. Yan, C. Wang, A. Zhou, W. Qian, L. Ma, Y. Pan: Efficiently querying rdf data in triple stores. WWW 2008.
