• “Lightweight Fault Tolerance in Pregel-Like Systems” (ICPP 2019) [PDF], [PPT]
    • Da YAN, James Cheng, Hongzhi Chen, Cheng Long, Purushotham Bangalore.
  • “Scalable de Novo Genome Assembly Using a Pregel-Like Graph-Parallel System” (IEEE/ACM TCBB, accepted in 2019, to appear) [PDF]
    • Guimu Guo, Hongzhi Chen, Da YAN, James Cheng, Jake Chen, and Zechen Chong.
  • “Parallel Clique-Like Subgraph Counting and Listing” (ER 2019) [PDF]
    • Yi Yang, Da YAN, Shuigeng Zhou, Guimu Guo.
  • “T-thinker: A Task-Centric Distributed Framework For Compute-Intensive Divide-and-Conquer Algorithms” (PPoPP 2019) [PDF]
    • Da YAN, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C.S. Lui, Weida Tan.
  • “Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach” (ICDE 2019) [PDF]
    • Ji Cheng, Da YAN, Xiaotian Hao, Wilfred Ng.
  • “Fraction-Score: A New Support Measure for Co-location Pattern Mining” (ICDE 2019) [PDF]
    • Harry Kai-Ho Chan, Cheng Long, Da YAN, Raymond Chi-Wing Wong.
  • “Parallel Graph Processing” (Encyclopedia of Big Data Technologies, Springer, 2019) [LINK]
    • Da YAN and Hang Liu.
  • “Volatility Estimation in the Era of High-Frequency Finance” (FinTech as a Disruptive Technology for Financial Institutions, IGI Global, 2019) [LINK]
    • Sibo Yan and Da YAN.
  • “GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit” (TPDS 2018) [PDF]
    • Da YAN, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang.
  • “Scalable De Novo Genome Assembly Using Pregel” (ICDE 2018) [PDF]
    • Da YAN, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
  • “G-Miner: An Efficient Task-Oriented Graph Mining System” (EuroSys 2018) [PDF]
    • Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da YAN, James Cheng.
  • “Fuzzy Double Trace Norm Minimization for Recommendation Systems” (IEEE Transactions on Fuzzy Systems 2018) [PDF]
    • Fanhua Shang, Yuanyuan Liu, James Cheng, Da YAN.
  • “Big Graph Analytics Platforms” (Foundations and Trends in Databases 2017) [PDF]
    • Da YAN, Yingyi Bu, Yuanyuan Tian, Amol Deshpande
  • “Architectural Implications on the Performance and Cost of Graph Analytics Systems” (SoCC 2017) [PDF]
    • Qizhen Zhang, Hongzhi Chen, Da YAN, James Cheng, Boon Thau Loo and Purushotham Bangalore
  • “Systems for Big Graph Analytics” (SpringerBriefs in Computer Science 2017) [BOOK LINK]
    • Da YAN, Yuanyuan Tian and James Cheng
  • “Efficient Processing of Growing Temporal Graphs” (DASFAA 2017) [PDF]
    • Huanhuan Wu, Yunjian Zhao, James Cheng, Da YAN
  • “Diversified Temporal Subgraph Pattern Mining” (KDD 2016) [PDF]
    • Yi Yang, Da YAN, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C.S. Lui
  • “SGraph: A Distributed Streaming System For Processing Big Graphs” (BIGCOM 2016)
    • Cheng Chen, Hejun Wu, Da YAN and James Cheng
  • “Big Graph Analytics Systems” (SIGMOD 2016) [PDF], [PPT]
    • Da YAN, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng
  • “Quegel: A General-Purpose System for Querying Big Graphs” (SIGMOD 2016) [PDF]
    • Qizhen Zhang, Da YAN, James Cheng
  • “A General-Purpose Query-Centric Framework for Querying Big Graphs” (PVLDB 2016) [PDF], [PPT]
    • Da YAN, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C.S. Lui, Qizhen Zhang, Wilfred Ng
  • “Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation” (WWW 2015) [PDF], [PPT]
    • Da YAN, James Cheng, Yi Lu and Wilfred Ng
  • “Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation” (PVLDB 2015) [PDF]
    • Yi Lu, James Cheng, Da YAN and Huanhuan Wu
  • “Core Decomposition in Large Temporal Graphs” (IEEE BigData 2015) [PDF]
    • Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da YAN and Hejun Wu
  • “Efficient Processing of Optimal Meeting Point Queries in Euclidean Space and Road Networks” (KAIS 2015) [PDF]
    • Da YAN, Zhou Zhao and Wilfred Ng
  • “Efficient Location-based Search of Trajectories with Location Importance” (KAIS 2015) [PDF]
    • Da YAN, James Cheng, Zhou Zhao and Wilfred Ng
  • “Probabilistic Convex Hull Queries over Uncertain Data” (TKDE 2014) [PDF]
    • Da YAN, Zhou Zhao, Wilfred Ng and Steven Liu
  • “Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs” (PVLDB 2014) [PDF], [PPT]
    • Da YAN, James Cheng, Yi Lu and Wilfred Ng
  • “Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees” (PVLDB 2014) [PDF], [PPT]
    • Da YAN, James Cheng, Kai Xing, Yi Lu, Wilfred Ng and Yingyi Bu
  • “Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases” (TKDE 2014) [PDF]
    • Zhou Zhao, Da YAN and Wilfred Ng
  • “A Transfer-Learning Based Framework of Crowd-Selection on Twitter” (KDD 2013) [PDF]
    • Zhou Zhao, Da YAN, Wilfred Ng and Shi Gao
  • “Finding Distance-Preserving Subgraphs in Large Road Networks” (ICDE 2013) (Student Travel Award) [PDF], [PPT]
    • Da YAN, James Cheng, Wilfred Ng and Steven Liu
  • “Leveraging Read Rates of Passive RFID Tags for Real-Time Indoor Location Tracking” (CIKM 2012) [PDF], [PPT]
    • Da YAN, Zhou Zhao and Wilfred Ng
  • “Monochromatic and Bichromatic Reverse Nearest Neighbor Queries on Land Surfaces” (CIKM 2012) [PDF], [PPT]
    • Da YAN, Zhou Zhao and Wilfred Ng
  • “Mining Probabilistically Frequent Sequential Patterns in Uncertain Databases” (EDBT 2012) [PDF], [PPT]
    • Zhou Zhao, Da YAN and Wilfred Ng
  • “A Probabilistic Convex Hull Query Tool for Animal Tracking” (EDBT 2012) [PDF]
    • Zhou Zhao, Da YAN and Wilfred Ng
  • “Efficient Methods for Finding Influential Locations with Adaptive Grids” (CIKM 2011) [PDF], [PPT]
    • Da YAN, Raymond Chi-Wing Wong and Wilfred Ng
  • “Efficient Algorithms for Finding Optimal Meeting Point on Road Networks” (PVLDB 2011) [PDF], [PPT]
    • Da YAN, Zhou Zhao and Wilfred Ng
  • “Robust Ranking of Uncertain Data” (DASFAA 2011) (Best Paper Award) [PDF], [PPT]
    • Da YAN and Wilfred Ng