• [2022/03] Our MOOC Course "Algorithm Design and Analysis" was online for the fifth time!
  • [2022/01] Our system paper "Hufu" was accepted by PVLDB 2022!
  • [2022/05] Our two papers were accepted by SIGKDD 2022.
  • [2022/01] Our five papers were accepted by TKDE, SIGMOD 2022, ICDE 2022 .
  • [2022/01] We received the NSFC grant of "Research of Shared Computing for Distributed Rail Transit Data"!
  • [2021/09] Congratulations to Yansheng Wang, Dingyuan Shi, and Shuyue Wei for winning the National Scholarship 2021!
  • [2021/09] Our MOOC Course "Algorithm Design and Analysis" was online for the forth time!
  • [2021/08] Our three papers were accepted by SIGKDD 2021.
  • [2021/04] Our two papers were accepted by ICDE 2021.
  • [2021/03] Our MOOC Course "Algorithm Design and Analysis" was online for the third time!
  • [2020/09] Our MOOC Course "Algorithm Design and Analysis" was online for the second time!
  • [2020/09] Our paper "An Efficient Insertion Operator in Dynamic Ridesharing Services" was accepted by TKDE.
  • [2020/09] Our paper "The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries" was accepted by VLDB 2020.
  • [2020/08] Our team "Polar Bear" won the Champion of the RL Track in KDD Cup 2020 Competition.
  • [2020/07] Our paper "Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing" was accepted by TKDE.
  • [2020/06] Our paper "Rethinking Pruning for Accelerating Deep Inference At the Edge" was accepted by SIGKDD 2020.
  • [2019/12] Our MOOC Course "Algorithm Design and Analysis" was online for the first time!
  • [2019/12] Our paper "Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework" was accepted by AAAI 2020.
  • [2019/11] Our paper "Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach" was accepted by ICDE 2020.
  • [2019/09] We successfully organized the CCF Advanced Disciplines Lectures (CCF ADL) "Crowd Intelligent Computing".