I am a ZJU100 Young Professor [浙大百人计划研究员，博士生导师] with the College of Computer Science and Technology at Zhejiang University in China. I am also an EU Marie Curie Individual Fellow [欧盟"玛丽·居里学者"]. Prior to my current position, I served as an Assistant Professor at the Department of Computer Science at Aalborg University in Denmark from 2020 to 2022 and held the role of Senior Engineer at Ant Group (formerly Alipay) from 2018 to 2019. I earned my Ph.D. from Zhejiang University in 2018 and my B.Sc. from Sichuan University in China in 2012.

I am currently focusing on building Sustainable Data Intelligence and Data Systems [SuDIS] that are Rapid, Reliable, Responsible, and Resilient. My work in this area encompasses various topics:

• Data Quality for AI and AI for Data Quality
  • learning-based cleansing and repairing of IoT data (VLDB'24, ICDE'23, SIGMOD'22);
  • analytics and learning with low-quality mobility data (TKDE'24, ICDE'24, TKDE'23, VLDB'22, VLDB'21, ICDE'20, TKDE'19, VLDB'18, TKDE'18, VLDB'16).
• Computing in Mobile, Edge, and Decentralized Environments
  • lightweight time-series analytics (VLDB'25, TKDE'24, KDD'24, ICDE'24, WWW'24, SIGMOD'23);
  • resource-effient inference (VLDBJ'25, ICLR'25, SIGMOD'25, KDD'24, ACL'24);
  • decentralized data systems (TKDE'25, ICDE'24, IJCAI'23, CIKM'23, VLDB'22);
  • context-aware indoor positioning and routing (VLDB'22, ICDE'22, TKDE'21, ICDE'20, UbiComp'15).

Aside from my current research, I have an interest in other topics related to time-series (TS) and spatiotemporal (ST) data.

QUICK ACCESS

• Codebase "ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions" (KDD 2024).
• Codebase "Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding" (ACL 2024).
• A systematic review on Tabular Data Augmentation for Machine Learning.
• Check out the Champion Solution to Hybrid Vector Search (SIGMOD 2024 Programming Contest), w. SUSTech DB Group.
• Codebase "Missing value imputation for multi-attribute sensor data streams via message propagation" (VLDB 2024).
• Codebase "LightCTS: A lightweight framework for correlated time series forecasting" (SIGMOD 2023).
• SIGMOD 2022 Tutorial "Spatial data quality in the IoT era: Management and exploitation" (with B. Tang, H. Lu, M.A. Cheema, and C.S. Jensen).
• Author Version "Spatial data quality in the Internet of Things: Management, exploitation, and prospects" (CSUR 2022).
• Benchmark "Indoor spatial queries: Modeling, indexing, and processing" (EDBT 2020).
• EU Marie Skłodowska-Curie Individual Fellowship "MALOT: Managing Mobility Data Quality for Location of Things".