[1]T. Li*, F. Liang*, J. Quan, C. Huang, T. Wang, R. Huang, and X. Hu, "Taste: Towards Practical Deep Learning-based Approaches for Semantic Type Detection in the Cloud", 28th International Conference on Extending Database Technology (EDBT), 2025. (CCF-B会议，共同一作)
利用多任务倾斜模型及元数据甄别的两阶段方法，实现大规模云上关系型数据的高效、无侵入的语义类型识别。
[2]F. Liang, F.C.M. Lau, H. Cui, Y. Li, B. Lin, C. Li, and X. Hu, "RelJoin: Relative-cost-based Selection of Distributed Join Methods for Query Plan Optimization", Elsevier Information Sciences, 2024. (中科院1区，IF: 8.23)
通过一种新颖的基于数据集相对大小的成本计算方法，对分布式环境下的各种join操作选择最优的物理实现以实时优化查询计划。
[3]W. Guo, B. Lin, G. Chen, Y. Chen and F. Liang, "Cost-Driven Scheduling for Deadline-Based Workflow Across Multiple Clouds", in IEEE Transactions on Network and Service Management(TNSM), vol. 15, no. 4, pp. 1571-1585, 2018. (CCF-C期刊)
在跨云环境中调度时间限制的科学工作流，使用分散粒子群优化技术降低计算和网络代价。
[4]F. Liang, F.C.M. Lau, H. Cui and C.-L. Wang, "Confluence: Speeding Up Iterative Distributed Operations by Key-dependency-aware Partitioning", IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018. (CCF-A期刊)
在迭代式分布式计算中，定义和利用关键字的依赖关系，降低shuffle网络负荷。
[5]J. Jiang, S. Zhao, D. Alsayed, Y. Wang, H. Cui, F. Liang, and Z. Gu, "Kakute: A Precise, Unified Information Flow Analysis System for Big-data Security", Annual Computer Security Applications Conference (ACSAC), 2017. *Distinguished Paper Award (CCF-B类会议)
通过引用传播和标签共享技术实现高效的分布式框架下的信息流跟踪。(最佳论文奖)
[6]F. Liang and F.C.M. Lau, “BAShuffler: Maximizing Network Bandwidth Utilization in the Shuffle of YARN”, 25th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2016. (CCF-B会议)
根据TCP max-min fairness特性对分布式计算节点的网络负载进行监控，动态分配shuffle任务，通过最大化利用集群中网络资源实现shuffle计算性能的提升。
[7]F. Liang and F.C.M. Lau, “SMapReduce: Optimising Resource Allocation by Managing Working Slots at Runtime”, 29th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2015. (CCF-B会议)
根据分布式计算中map和reduce计算不同特性，通过对两者不同的工作负荷进行实时动态的计算资源分配，最大化分布式计算资源利用和计算吞吐量。
[8]D. Liu, J. Chen, F. Liang and X. Fan, “A Performance Analysis for Hadoop under Heterogeneous Cloud Computing Environments”, Journal of Integration Technology, Issue 4, 2012.
指出异构云环境下Hadoop性能下降的问题和原因分析。
