Current Research Grants

• Research on Rare Causal Relationship Discovery Methods in Massive High-Dimensional Data, National Natural Science Foundation of China (Grant No. 62576105), 2026/1–2029/12, Principal Investigator. (500,000 RMB)

• Research on Biomarker Identification Methods Based on High-Dimensional Causal Discovery, National Natural Science Foundation of China (Grant No. 62372116), 2024/1–2027/12, Principal Investigator. (500,000 RMB)

• Research on Content Cold Start and Push-to-Boom Issues in Short Video Recommendation Systems, funded by Beijing Dajia Internet Information Technology Co., Ltd., 2025/8–2026/7, Principal Investigator. (500,000 RMB)

• Biometric Recognition Technology, funded by Tencent Technology (Shenzhen) Co., Ltd., 2025/6–2026/5, Principal Investigator. (300,000 RMB)

• Research on Key Technologies of Multimodal Deep Reasoning Large Models in Content Moderation Scenarios, funded by Shenzhen Tencent Computer Systems Co., Ltd., 2025/7–2026/6, Principal Investigator. (350,000 RMB)

• Data Augmentation, Data Quality Improvement, and Label Semantic Graph Construction, funded Hangzhou EZVIZ Network Co., Ltd., 2024/3–2027/2, Principal Investigator. (1,500,000 RMB)

Previous Research Grants

• Public opinion monitoring, social risk assessment, and emergency response techniques for the entire legislative process, funded by the Key R&D Program of China Ministry of Science and Technology, grant no. 2021YFC3340302，December 2021 – November 2024，PI. (2,000,000 RMB)

• Observable data representation and root cause analysis of large-scale distributed systems, funded by the AIR program of Alibaba, June 2023 – May 2024, PI. (5000,000 RMB)

• Face recognition techniques, funded by Tencent Technology (Shenzhen) Co., Ltd, Mar. 2023- Mar. 2024, PI. (300,000 RMB)

• Live Streaming Multimodal Content Understanding, funded by ByteDance, July 2023 – June 2025, PI. (750,000 RMB)

• Research on Clustering Analysis Methods for Single-Cell RNA Sequencing Data, National Natural Science Foundation of China (Grant No. 61972100), 2020.1–2023.12, Principal Investigator. (620,000 RMB)

• Industrial Mechanism Model Library for High-End Equipment, 2019 Industrial Internet Innovation and Development Project, Ministry of Industry and Information Technology, 2019.6–2020.12, Sub-Project Leader. (2,400,000 RMB)

• Research on Big Data Anomaly Detection Based on Deep Neural Networks, Open Project of Zhejiang Lab, 2020.1–2021.6, Principal Investigator. (750,000 RMB)

• Privacy preservation in query processing of big data, funded by National Natural Science Foundation of China (NSFC), grant no. U1636205, January 2017 - December 2020, PI.

• Methods for big data integration, management and analysis for precise medicine, funded by the Key R&D Program of China Ministry of Science and Technology, grant no. 2016YFC0901704，July 2016 – December 2020，PI.

• Network based methods for financial big data analysis, funded by the key project programme for fundamental Research of STCSM, January 2015 - December 2017, PI.

• Key techniques for multi-tenant data management, funded by National Natural Science Foundation of China (NSFC), grant no. 61572141, January 2016 - December 2016, PI.

• Computational study on dynamics of neuleosome positioning, funded by National Natural Science Foundation of China (NSFC), grant no. 61272380, January 2013 - December 2016, PI.

• Software development and system implementation for protein structure and function prediction, a sub-project funded by China 863 Program under grant No. 2012AA020403, 2012-2015, Co-PI.

• Algorithms of complex query processing for cloud data management, funded by Research Innovation Program of Shanghai Municipal Education Committee, grant no. 13ZZ003, January 2013 - December 2014, PI.

• Requirement engineering – the basic research of software engineering for complex software systems, funded by 973 Program of China MOST, grant no. 2007CB310800, 2007-2011, Shuigeng Zhou (key investigator)

• Exploiting stream mining to support production process monitoring and control in steel industry based on IBM System S, 2008 IBM Exploratory Stream Analytics Innovation Award, 2009-2010, Shuigeng Zhou (PI)

• Basic Research on variety improvement of Manihot esculenta Crantz, funded by 973 Program of China MOST, grant no. 2010CB126600, 2010-2014, key investigator.

• Key Techniques of Dataspace Management, funded by National Natural Science Foundation of China (NSFC), grant no. 60873070, January 2009 - December 2011, PI.

• XML data organization and retrieval for geographic applications, funded by 863 Program, grant No. 2009AA01Z135, January 2009-Decmber 2010, PI.

• Chinese language networks: characteristics, models and applications in Chinese language processing, funded by National Natural Science Foundation of China (NSFC), grant no. 60773123, January 2008 - December 2008, PI.

• Searching in P2P networks, funded by National Natural Science Foundation of China (NSFC), grant no. 90612007, January 2006 - December 2008, PI.

• Query processing in P2P environment, funded by National Natural Science Foundation of China (NSFC), grant no. 60373019, January 2004 - December 2006, PI.

• Research Collaboration Environment: A Pilot Project, funded by Science and Technology Committee of Shanghai Municipality, grant no. 05dz22334, January 2006 - June 2006, PI.

• Algorithms of query processing in P2P Networks, Shuguang Scholar Program of Shanghai Municipal Education Committee, January 2005 - December 2006, PI.

• Clustering algorithms for scRNA-seq data, funded by National Natural Science Foundation of China (NSFC), grant no. 61972100, January 2020 - December 2023, PI.

• Privacy preservation in query processing of big data, funded by National Natural Science Foundation of China (NSFC), grant no. U1636205, January 2017 - December 2020, PI.

• ethods for big data integration, management and analysis for precise medicine, funded by the Key R&D Program of China Ministry of Science and Technology, grant no. 2016YFC0901704，July 2016 – December 2020，PI.