{"id":15635,"date":"2021-09-02T01:04:25","date_gmt":"2021-09-01T17:04:25","guid":{"rendered":"https:\/\/www.fst.um.edu.mo\/personal\/?page_id=15635"},"modified":"2025-03-18T21:36:08","modified_gmt":"2025-03-18T13:36:08","slug":"huanlexu-publications","status":"publish","type":"page","link":"https:\/\/www.fst.um.edu.mo\/personal\/huanlexu\/huanlexu-publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

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Xu Huanle<\/strong><\/span><\/p>\n

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Selected Journal Papers\u00a0<\/span>(* denotes corresponding or co-first author<\/span>)<\/span><\/strong><\/span><\/h2>\n
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  • Xiaosong Chen, Hanqing Zhuang, Yang Liu, Huanle Xu*<\/strong>, and Wing Cheong Lau,<\/span> Combinatorial Multi-Armed Bandits with Fairness <\/span>Constraints: An Online Convex Optimization Perspective, to appear in Journal of <\/span>Artificial<\/span> Intelligence Research (JAIR).<\/span><\/li>\n
  • Shutian Luo, Chenyu Lin, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Huanle Xu*, <\/strong>and Chengzhong Xu*, Optimizing Resource Management for Shared Microservices: A Scalable System Design, in ACM Transactions on Computer Systems (TOCS), Vol. 42, Issue 1-2, 2024.<\/span><\/li>\n
  • Yang Liu, Huanle Xu<\/strong>, and Wing Cheong Lau, Cloud Configuration Optimization for Recurring Batch-Processing Applications, in IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 34, Issue 5, 2023.<\/span><\/li>\n
  • Shutian Luo, Huanle Xu*<\/strong>, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, and Chengzhong Xu*, An In-Depth Study of Microservice Call Graph and Runtime Performance, in IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 33, Issue 12, 2022.<\/span><\/li>\n
  • Rui Li, Alex X. Liu, Huanle Xu<\/b>, Ying Liu, and Huaqiang Yuan, \u201cAdaptive Secure Nearest Neighbor Query Processing over Encrypted Data\u201d, in IEEE Transactions on Dependable and Secure Computing (TDSC), Vol. 19, Issue 1, Feb 2022.\u00a0<\/span><\/li>\n
  • Huanle Xu<\/b>, Yang Liu, and Wing Cheong Lau, \u201cOptimal Job Scheduling with Resource Packing for Heterogeneous Servers\u201d, in IEEE\/ACM Transactions on Networking (ToN), Vol.29, Issue 4, Aug 2021.\u00a0<\/span><\/li>\n
  • Tong Wu, Ying-Jun Angela Zhang, Yang Liu, Wing Cheong Lau, and Huanle Xu<\/b>, \u201cMissing Data Recovery in Large Power Systems Using Network Embedding\u201d, in IEEE Transactions on Smart Grid, Vol.12, Issue 1, Jan 2021.<\/span><\/li>\n
  • Huanle Xu<\/b>, Yang Liu, Wing Cheong Lau, Tiantong Zeng, Jun Guo, and Alex Liu, \u201cOnline Resource Allocation with Machine Variability: A Bandit Perspective\u201d, in IEEE\/ACM Transactions on Networking (ToN), Vol.28, Issue 5, Oct 2020.\u00a0<\/span><\/li>\n
  • Huanle Xu<\/b>, Gustavo de Veciana, Wing Cheong Lau, and Kunxiao Zhou, \u201cOnline Job Scheduling with Redundancy and Opportunistic Checkpointing: A Speedup-Function-Based Analysis\u201d, in IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.30, Issue 4, April 2019.\u00a0<\/span><\/li>\n
  • Zhibo Yang, Huanle Xu*<\/b>, Jianyuan Deng, Chen Change Loy, and Wing Cheong Lau, \u201cRobust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications\u201d, in IEEE Transactions on Image Processing (TIP), Vol.27, Issue 12, Dec 2018.\u00a0<\/span><\/li>\n
  • Huanle Xu<\/b>, Wing Cheong Lau, Zhibo Yang, Gustavo de Veciana, and Hanxu Hou, \u201cMitigating Service Variability in MapReduce Clusters via Task Cloning: A Competitive Analysis\u201d, in IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.18, Issue 10, Oct 2017.\u00a0<\/span><\/li>\n
  • Huanle Xu<\/b> and Wing Cheong lau, \u201cOptimization for Speculative Execution in Big\u00a0Data Processing Clusters\u201d, in IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.28, Issue 2, Feb 2017. <\/span><\/li>\n<\/ul>\n
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    Selected Conference Papers (* denotes corresponding or co-first author<\/span>)<\/span><\/strong><\/span><\/h2>\n
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    • Shutian Luo, Jianxiong Liao, Chenyu Lin, Huanle Xu*<\/strong>, Zhi Zhou, and Chengzhong Xu, Embracing Imbalance: Dynamic Load Shifting among Microservice Containers in Shared Clusters, accepted by ASPLOS 2025.<\/span><\/li>\n
    • Liao Chen, Chenyu Lin, Shutian Luo, Huanle Xu*<\/strong>, and Chengzhong Xu, <\/span>Grad: Intelligent Microservice Scaling by <\/span>Harnessing Resource Fungibility, accepted by HPCA 2025.<\/span><\/li>\n
    • Wenyan Chen, Chengzhi Lu, Huanle Xu*<\/strong>, Kejiang Ye, Chengzhong Xu, Multiplexing Dynamic Deep <\/span>Learning Workloads with SLO-awareness in GPU Clusters, accepted by Eurosys 2025.<\/span><\/span><\/li>\n
    • Zizhao Mo, Huanle Xu*<\/strong>, and Wing Cheong Lau, Fast and Fair Training in Heterogeneous GPU Clusters, accepted by ICS 2025.\u00a0<\/span><\/span><\/li>\n
    • Da Sun Handason Tam, Huanle Xu<\/strong>, Yang Liu, Siyue Xie, and Wing Cheong Lau, FastPERT: <\/span>Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks, accepted by AAAI 2025.<\/span><\/li>\n
    • Chengzhi Lu, Huanle Xu*<\/strong>, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu, <\/span>SMIless: Serving DAG-based Inference with <\/span>Dynamic Invocations under Serverless Computing, in the Procs. of SC 2024.<\/span><\/li>\n
    • Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu*<\/strong>, Kejiang Ye, and Chengzhong Xu, Derm: SLA-aware Resource Management for Highly Dynamic <\/span><\/span>Microservices, in the Procs. of ISCA 2024.<\/span><\/li>\n
    • Zizhao Mo, Huanle Xu<\/strong>*, and Chengzhong Xu, Heet: Accelerating Elastic Training in Heterogeneous Deep <\/span>Learning Clusters, in the Procs. of <\/span> ASPLOS 2024.<\/span><\/span><\/li>\n
    • Xiaosong Chen, Huanle Xu*<\/strong>, and Chengzhong Xu, Optimizing Dynamic Data Center Provisioning through Speed <\/span>Scaling: A Primal-Dual Perspective, in the Procs. of <\/span> SPAA 2024.<\/span><\/span><\/li>\n
    • Zizhao Mo, Huanle Xu*<\/strong>, and Wing Cheong Lau, <\/span>Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters, in the Procs. of Middleware 2024.<\/span><\/span><\/li>\n
    • Wenyan Chen, Zizhao Mo, Huanle Xu<\/strong>*, Keying Ye, and Chengzhong Xu, Interference-aware Multiplexing for Deep Learning in GPU <\/span>Clusters: A Middleware Approach<\/span><\/span><\/span>, in the Procs. of SC 2023.\u00a0<\/span><\/li>\n
    • Da Sun Handason Tam,\u00a0Yang Liu,\u00a0Huanle Xu<\/strong>*,\u00a0Siyue Xie, and Wing Cheong Lau,\u00a0<\/span>PERT-GNN: Latency Prediction for Microservice-based\u00a0<\/span>Cloud-Native Applications via Graph Neural Networks, in the Procs. of <\/span><\/span> KDD 2023.<\/span><\/li>\n
    • Chengzhi Lu*, Huanle Xu<\/strong>*,\u00a0<\/b>Keying Ye, Guoyao Xu, Liping Zhang, Guodong Yang, and Chengzhong Xu*,\u00a0<\/b><\/span>Understanding and Optimizing Workloads for Unified\u00a0<\/span>Resource Management in Large Cloud Platforms, in the Procs. of<\/span> Eurosys 2023.\u00a0<\/span><\/li>\n
    • Shutian Luo*, Huanle Xu*<\/b>, Kejiang Ye, Guoyao Xu, Liping Zhang, \u00a0Jian He, Guodong Yang, and Chengzhong Xu*, \u00a0Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees, in the Procs. of ASPLOS 2023.\u00a0<\/span><\/li>\n
    • Shutian Luo*, Huanle Xu*<\/b>, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, and Chengzhong Xu*, <\/span><\/span>The Power of Prediction: Microservice Auto Scaling via Workload\u00a0Learning<\/span><\/span>, in the Procs. of \u00a0ACM SoCC 2022.\u00a0<\/span><\/li>\n
    • Huanle Xu<\/strong>, Yang Liu, and Wing Cheong Lau,\u00a0Multi Resource Scheduling with Task Cloning in Heterogeneous\u00a0<\/span>Clusters, in the Procs. of ICPP 2022.\u00a0<\/span><\/span><\/li>\n
    • Yang Liu, Huanle Xu<\/strong>, and Wing Cheong Lau,\u00a0<\/span>Dragster: Dynamic Resource Allocation with Guarantee on\u00a0<\/span>Streaming Throughput Expected Regret, in the Procs. of ICPP 2022.\u00a0<\/span><\/span><\/li>\n
    • Shutian Luo*, Huanle Xu*<\/b>, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, and Chengzhong Xu*, Characterizing Microservice Dependency and Performance: Alibaba trace analysis, in the Procs. of ACM SoCC 2021. \u00a0(Best Paper Award<\/b><\/span>)<\/span><\/li>\n
    • Huanle Xu<\/b>, Yang Liu, Wing Cheong Lau, and Rui Li, Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints, in the Procs. of IJCAI, June 2020.\u00a0<\/span><\/li>\n
    • Yang Liu, Huanle Xu<\/b>,\u00a0and Wing Cheong Lau, Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications, in the Procs. of ICDCS, Nov 2020.\u00a0<\/span><\/li>\n
    • Rui Li, Alex X.Liu, Ying Liu, Huanle Xu<\/b>, and Huaqiang Yuan, Insecurity and hardness of nearest neighbor queries over encrypted data, in the Procs. of ICDE , May 2019.\u00a0<\/span><\/li>\n
    • Huanle Xu<\/b>, Yang Liu, Wing Cheong Lau, Jun Guo, and Alex Liu, \u201cEfficient Online Resource Allocation in Heterogeneous Clusters with Machine Variability\u201d, in the Procs. of IEEE Infocom, May 2019.\u00a0<\/span><\/li>\n
    • Yang Liu, Huanle Xu*<\/b>, and Wing Cheong Lau, \u201cOnline Job Scheduling with Resource Packing on a Cluster of Heterogeneous Servers\u201d in the Procs. of IEEE Infocom, May 2019.\u00a0<\/span><\/li>\n
    • Huanle Xu<\/b>, Gustavo de Veciana, and Wing Cheong Lau, \u2019’Addressing Job Processing Variability Through Redundant Execution and Opportunistic Checkpointing: A Competitive Analysis\u2019\u2019, in the Procs. of IEEE Infocom, May 2017.\u00a0<\/span><\/li>\n
    • Huanle Xu<\/b> and Wing Cheong Lau, \u201cTask-Cloning Algorithms in a MapReduce Cluster with Competitive Performance Bounds\u201d, in the Procs. of IEEE ICDCS, 2015.<\/span><\/li>\n
    • Huanle Xu<\/b>, Pili Hu, Wing Cheong Lau, Qiming Zhang, and Yang Wu, \u201cDPCP: A Protocol for Optimal Pull Coordination in Decentralized Social Networks\u201d, in the Procs. of IEEE Infocom, Apr 2015.<\/span><\/li>\n
    • Huanle Xu<\/b> and Wing Cheong Lau, \u201cOptimization For Speculative Execution In a Map-Reduce-Like Cluster\u201d, in the Procs. of IEEE Infocom, Apr 2015. \u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

        Xu Huanle Home Teaching Publications Research Lab Biography Selected Journal Papers\u00a0(* denotes corresponding or co-first author) Xiaosong Chen, Hanqing Zhuang, Yang Liu, Huanle Xu*, and Wing Cheong Lau, Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective, to appear in Journal of Artificial Intelligence Research (JAIR). Shutian Luo, Chenyu Lin, Kejiang Ye, … <\/p>\n

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