邢焕来 副教授

博士生导师

硕士生导师

个人信息Personal Information


学历:博士研究生毕业

毕业院校:英国诺丁汉大学

学科:通信与信息系统. 计算机科学与技术

所在单位:计算机与人工智能学院

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  • 2015/01–2017/12,主持人,国家自然科学基金青年基金“面向SDN的网络编码组播机制研究”(61401374)。

    2015/01–2016/12,主持人,教育部留学回国人员科研启动费“基于进化算法的网络编码资源动态优化问题研究”。

    2014/01–2015/12,主持人,中央高校基本科研业务费创新基金“基于网络编码的组播路由资源优化问题研究”(2682014RC23)。

    2013/03–2013/06,主持人,诺丁汉大学课题“On Multi-objective Network Coding based Resource Minimization: Advanced Evolutionary Approaches”(翻译:高等进化算法在多目标网络编码资源优化中的应用)。

    2009/09–2013/05,主持人,国家建设高水平大学项目“Evolutionary Approaches for Network Coding Based Multicast Routing Problems”(2009103261)(翻译:基于进化算法的网络编码组播问题研究)。

    2007/10–2009/01,参与人,国家高科技研究发展(863)计划课题“基于网络编码的光层组播机制研究”(2007AA01Z247)。

    2008/01–2009/03,参与人,国家自然科学基金(NSFC)课题“基于分布式网络编码的光层组播机制”(60772024)。


  • Selected List of Publications (*为通讯作者)

    Journal papers:

    66.  Zhiwen Xiao, Xin Xu, Huanlai Xing*, Bowen Zhao, Xinhan Wang, Fuhong Song, Rong Qu, and Li Feng. DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification. IEEE Transactions on Cognitive and Developmental Systems, Early Access, 2024. DOI: 10.1109/TCDS.2024.3370219 (SCI三区)

    65.  Zhiwen Xiao, Huanlai Xing*, Rong Qu, Hui Li, Li Feng, Bowen Zhao, and Jiayi Yang. Self-Bidirectional Decoupled Distillation for Time Series Classification. IEEE Transactions on Artificial Intelligence, Early Access, 2024. DOI: 10.1109/TAI.2024.3360180

    64. Amir Rehman, Huanlai Xing*, Li Feng, Mehboob Hussain, Nighat Gulzar, Muhammad Adnan Khan, Abid Hussain, and Dhekra Saeed. FedCSCD-GAN: A Secure and Collaborative Framework for Clinical Cancer Diagnosis via Optimized Federated Learning and GAN. Biomedical Signal Processing and Control, 89: 105893, 2024. (SCI二区)

    63. Zhiwen Xiao, Huanlai Xing*, Rong Qu, Li Feng, Shouxi Luo, Penglin Dai, Bowen Zhao, and Yuanshun Dai. Densely Knowledge-aware Network for Multivariate Time Series Classification.  IEEE Transactions on Systems, Man, and Cybernetics: Systems, Early Access, 2024. DOI: 10.1109/TSMC.2023.3342640 (SCI一)

    62. Fuhong Song, Qixun Yang, Mingsen Deng, Huanlai Xing, Yanping Liu, Xi Yu, Kaiju Li, and Lexi Xu. AoI and Energy Tradeoff for Aerial-Ground Collaborative MEC: A Multi-Objective Learning Approach. IEEE Transactions on Mobile Computing, Early Access, 2024. DOI: 10.1109/TMC.2024.3394568 (SCI一)

    61. Fuhong Song, Mingsen Deng, Huanlai Xing, Yanping Liu, Fei Ye, and Zhiwen Xiao. Energy-Efficient Trajectory Optimization with Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning. IEEE Transactions on Mobile Computing, Early Access, 2024. DOI: 10.1109/TMC.2024.3384405 (SCI一)

    60. 邢焕来*, 王心汉, 宋富洪, 赵博文, 罗寿西, 戴朋林, 李可. 面向组播的动态虚拟网络功能放置算法. 计算机学报, 46(11): 22-41, 2023. 

    59. Zhiwen Xiao, Huaguang Tong, Rong Qu, Huanlai Xing*, Shouxi Luo, Zonghai Zhu, Fuhong Song, and Li Feng. CapMatch: Semi-supervised Contrastive Transformer Capsule with Feature-based Knowledge Distillation for Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems, Early Access, 2023. DOI: 10.1109/TNNLS.2023.3344294 (SCI一)

    58. Zhiwen Xiao, Huanlai Xing*, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, and Zonghai Zhu. Deep Contrastive Representation Learning With Self-Distillation. IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, 2023. DOI: 10.1109/TETCI.2023.3304948 (SCI三)

    57. Amir Rehman*, Huanlai Xing*, Mehboob Hussain, Nighat Gulzar, Muhammad Adnan Khan, Abid Hussain, Sajid Mahmood. HCDP-DELM: Heterogeneous Chronic Disease Prediction with Temporal Perspective Enabled Deep Extreme Learning Machine. Knowledge-based Systems, 284: 111316, 2024. DOI: 10.1016/j.knosys.2023.111316 (SCI一区)

    56. Xinhan Wang, Huanlai Xing*, Fuhong Song, Shouxi Luo, Penglin Dai, and Bowen Zhao. On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach. IEEE Transactions on Parallel and Distributed Systems, 34(8): 2479-2497, 2023. DOI: 10.1109/TPDS.2023.3287633 (SCI二)

    55. Bowen Zhao, Huanlai Xing*, Xinhan Wang, Fuhong Song, and Zhiwen Xiao. Rethinking Attention Mechanism in Time Series Classification. Information Sciences, 627: 97-114, 2023. DOI: 10.1016/j.ins.2023.01.093 (SCI一)

    54. Bowen Zhao, Huanlai Xing*, Xinhan Wang, Zhiwen Xiao, and Lexi Xu. Classification-Oriented Distributed Semantic Communication for Multivariate Time Series. IEEE Signal Processing Letters, 30: 369-373, 2023. DOI: 10.1109/LSP.2023.3265330 (SCI二)

    53. Amir Rehman, Huanlai Xing*, Mehboob Hussain, Abid Hussain, and Nighat Gulzar. Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives. Biomedical Signal Processing and Control, 83: 104642, 2023. DOI: 10.1016/j.bspc.2023.104642 (SCI二)

    52. Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, and Zhaofei Yu. Meta Reinforcement Learning for Multi-task Offloading in Vehicular Edge Computing. IEEE Transactions on Mobile Computing, Early Access, pp. 1-16, 2023. DOI: 10.1109/TMC.2023.3247579 (SCI一)

    51. Zonghai Zhu, Huanlai Xing, and Yuge Xu. Balanced Neighbor Exploration for Semi-supervised Node Classification on Imbalanced Graph Data. Information Sciences, 631: 31-44, 2022.  DOI: 10.1016/j.ins.2023.02.064 (SCI一)

    50. Penglin Dai, Yaorong Huang, Xiao Wu, Ke Li, Huanlai Xing, and Kai Liu. Freshness and Security-Aware Cache Update in Blockchain-Based Vehicular Edge Networks. IEEE Transactions on Consumer Electronics, Early Access, pp. 1-14, 2023. DOI: 10.1109/TCE.2023.3345861 (SCI一)

    49. Fuhong Song, Huanlai Xing*, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, and Bowen Zhao. Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Transactions on Mobile Computing, 22(12): 7387-7405, 2023. DOI: 10.1109/TMC.2022.3208457 (SCI一区, ESI高被引论文2024.03)

    48. Penglin Dai, Biao Han, Xiao Wu, Huanlai Xing, Bingyi Liu, and Kai Liu. Distributed Convex Relaxation for Heterogeneous Task Replication in Mobile Edge Computing. IEEE Transactions on Mobile Computing, Early Access, pp. 1-16, 2022. DOI: 10.1109/TMC.2022.3232495 (SCI一)

    47. Huanlai Xing, Zhiwen Xiao*, Rong Qu, Zonghai Zhu, and Bowen Zhao. An Efficient Federated Distillation Learning System for Multitask Time Series Classification. IEEE Transactions on Instrumentation & Measurement, published online, 71: 1-12, 2022. DOI: 10.1109/TIM.2022.3201203 (SCI二区, ESI热点论文2023.11ESI高被引2023.07)

    46. Huanlai Xing, Zhiwen Xiao*, Dawei Zhan, Shouxi Luo, Penglin Dai, and Ke Li. SelfMatch: Robust Semisupervised Time-series Classification with Self-distillation. International Journal of Intelligent Systems, published online, pp. 1-28, 2022. DOI:10.1002/int.22957 (SCI二ESI高被引2023.07)

    45. Huanlai Xing*, Jing Zhu, Rong Qu, Penglin Dai, Shouxi Luo, and Muhammad Azhar Iqbal. An ACO for Energy-Efficient and Traffic-Aware Virtual Machine Placement in Cloud Computing. Swarm and Evolutionary Computation, 68, 101012, 2022. (SCI二)

    44. Huanlai Xing*, Haoxiang Qin, Shouxi Luo, Penglin Dai, Lexi Xu, and Xinzhou Cheng. Spectrum Sensing in Cognitive Radio: A Deep Learning Based Model. Transactions on Emerging Telecommunications Technologies, 33: e4388, 2022. (SCI四)

    43. Fuhong Song, Huanlai Xing*, Xinhan Wang, Shouxi Luo, Penglin Dai, and Ke Li. Offloading Dependent Tasks in Multi-Access Edge Computing: A Multi-Objective Reinforcement Learning Approach. Future Generation Computer Systems, 128: 333-348, 2022. (SCI二)

    42. Zonghai Zhu, Huanlai Xing, and Yuge Xu. Easy balanced mixing for long-tailed dataKnowledge-Based Systems, 248: 108816, 2022. DOI: 10.1016/j.knosys.2022.108816 (SCI二)

    41. Shouxi Luo, Pingzhi Fan, Huanlai Xing, and Hongfang Yu. Meeting Coflow Deadlines in Data Center Networks With Policy-Based Selective Completion. IEEE/ACM Transactions on Networking, Early Access, pp. 1-14, 2022. DOI: 10.1109/TNET.2022.3187821 (SCI一区)

    40. Dawei Zhan, Yun Meng, and Huanlai Xing. A Fast Multi-Point Expected Improvement for Parallel Expensive Optimization. IEEE Transactions on Evolutionary Computation, Early Access, pp. 1-1, 2022.  DOI: 10.1109/TEVC.2022.3168060 (SCI一区)

    39. Longyan Ran, Yuehe Cui, Chun Guo, Qing Qian, Guowei Shen, and Huanlai Xing. Defending Saturation Attacks on SDN Controller: A Confusable Instance Analysis-based Algorithm. Computer Networks, 213: 109098, 2022. DOI: 10.1016/j.comnet.2022.109098 (SCI二区)

    38. Xinhan Wang, Huanlai Xing*, Dawei Zhan, Shouxi Luo, Penglin Dai, and Muhammad Azhar Iqbal. A Two-stage Approach for Multicast-oriented Virtual Network Function Placement. Applied Soft Computing Journal, 112: 107798, 2021. (SCI二)

    37. Zhiwen Xiao, Xin Xu, Huanlai Xing*, Fuhong Song, Xinhan Wang, and Bowen Zhao. A Federated Learning System with Enhanced Feature Extraction for Human Activity Recognition. Knowledge-Based Systems, 229: 107338, 2021. (SCI区, ESI高被引2023.09)

    36. Juan Chen, Huanlai Xing*, Zhiwen Xiao, Lexi Xu*, and Tao Tao. A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC. IEEE Internet of Things Journal, 8(24): 17508-17524, 2021. (SCI一区)

    35. Shouxi Luo, Huanlai Xing, and Pingzhi Fan. Softwarized IP Multicast in the Cloud. IEEE Network, 35(6): 233-239, 2021. DOI: 10.1109/MNET.100.2100045 (SCI一区)

    34. Zhiwen Xiao, Xin Xu, Huanlai Xing*, Shouxi Luo, Penglin Dai, and Dawei Zhan. RTFN: A robust temporal feature network for time series classification. Information Sciences, 571: 65-86, 2021. (SCI二ESI高被引2023.07)

    33. Dawei Zhan and Huanlai Xing. A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning. IEEE Transactions on Evolutionary Computation, 25(5): 941-955, 2021. DOI: 10.1109/TEVC.2021.3067015 (SCI一)

    32. Zongkai Liu, Penglin Dai, Huanlai Xing, Zhaofei Yu, and Wei Zhang. A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(7): 4388-4401, 2021. DOI: 10.1109/TSMC.2021.3097005. (SCI二)

    31. Fuhong Song, Huanlai Xing*, Shouxi Luo, Dawei Zhan, Penglin Dai, and Rong Qu. A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing. IEEE Internet of Things Journal, 7(9): 8780-8799, 2020. (SCI一区)

    30. Shouxi Luo, Hongfang Yu, Ke Li, and Huanlai Xing. Efficient File Dissemination in Data Center Networks with Priority-based Adaptive Multicast. IEEE Journal on Selected Areas in Communications, 38(6): 1161-1175, 2020. (SCI一区)

    29. Shouxi Luo, Tie Ma, Wei Shan, Pingzhi Fan, Huanlai Xing, and Hongfang Yu. Efficient Multi-source Data Delivery in Edge Cloud with Rateless Parallel Push. IEEE Internet of Things Journal, published online, 2020. DOI: 10.1109/JIOT.2020.2996800 (SCI一区)

    28. Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, and Zhaofei Yu. A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, published online, 2020. DOI: 10.1109/TITS.2020.3017172 (SCI二区)

    27. Penglin Dai, Zihua Hang, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor CS Lee. Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks. IEEE Transactions on Vehicular Technology, 69(7): 7821-7834, 2020. (SCI二区)

    26. Dawei Zhan and Huanlai Xing. Expected Improvement for Expensive Optimization: a Review. Journal of Global Optimization78: 507-544, 2020. DOI: 10.1007/s10898-020-00923-x (SCI三区)

    25. Huanlai Xing*, Xinyu Zhou, Xinhan Wang, Shouxi Luo, Penglin Dai, Ke Li, and Hui Yang. An Integer Encoding Grey Wolf Optimizer for Virtual Network Function Placement. Applied Soft Computing, 76: 575-594, 2019. (SCI二区)

    24. Shouxi Luo, Huanlai Xing, and Ke Li. Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks. IEEE Systems Journal, 14(2): 2581-2584, 2020. (SCI二区)

    23. Huanlai Xing*, Fuhong Song, Lianshan Yan, and Wei Pan. On Multicast Routing With Network Coding: A Multiobjective Artificial Bee Colony Algorithm. China Communications, 16(2):160-176, 2019. (SCI四区)

    22. Huanlai Xing*, Fuhong Song, Lianshan Yan, and Wei Pan. A Modified Artificial Bee Colony Algorithm for Load Balancing in Network Coding Based Multicast. Soft Computing, 23(15):6287-6305, 2019. (SCI三区)

    21. Penglin Dai, Kai Liu, Xiao Wu, Zhaofei Yu, Huanlai Xing, Victor Chung Sing Lee. Cooperative Temporal Data Dissemination in SDN-based Heterogeneous Vehicular Networks. IEEE Internet of Things Journal, published online, 2018. (SCI一区)

    20. Huanlai Xing*, Saifei Li, Yunhe Cui, Lianshan Yan, Wei Pan, and Rong Qu. A Hybrid EDA for Load Balancing in Multicast With Network Coding. Applied Soft Computing, 59: 363-377, 2017. (SCI二区)

    19. Huanlai Xing*, Zhaoyuan Wang, Tianrui Li,Hui Li, and Rong Qu. An Improved MOEA/D Algorithm for Multi-objective Multicast Routing with Network Coding. Applied Soft Computing, 59: 88-103, 2017. (SCI二区)

    18. Han Xu, Lianshan Yan, Huanlai Xing, Yunhe Cui,and Saifei Li. On Link Failure Detection in Software Defined Networks: An Active Feedback Mechanism. IET Electronics Letters, published online, 53(11): 722-724, 2017. (SCI四区)

    17. Zhaoyuan Wang, Huanlai Xing*, Tianrui Li, Yan Yang, Rong Qu, and Yi Pan. A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization. IEEE Transactions on Evolutionary Computation, 20(3): 325-342, 2016. (SCI一区)

    16. Yunhe Cui, Lianshan Yan*, Saifei Li, Huanlai Xing*, Wei Pan, Jian Zhu, and Xiaoyang Zheng. SD-Anti-DDoS: fast and efficient DDoS defense in software-defined networks. Journal of Network and Computer Applications, 67: 65-79, 2016. (SCI二区)

    15. Wenchao Xiao, Yan Yang, Hongjun Wang, Tianrui Li, and Huanlai Xing. Semi-supervised hierarchical clustering ensemble and its applications. Neurocomputing, 173: 1362-1376, 2016. (SCI二区)

    14. Huanlai Xing*, Rong Qu, Lin Bai, and Yuefeng Ji. On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Applied Intelligence, 41(3): 820-836, 2014. (SCI四区)

    13. Huanlai Xing*, Rong Qu, Graham Kendall, and Ruibin Bai. A path-oriented encoding evolutionary algorithm for network coding resource minimization. Journal of the Operational Research Society, 65(8): 1261-1277, 2014. (注:该论文被JORS期刊选为最具代表性的十篇优秀文章之一,该报道网址为 http://www.palgrave-journals.com/jors/free_articles.html) (SCI四区, SSCI源刊)

    12. Huanlai Xing* and Rong Qu. A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems. Information Sciences, 233: 36-53, 2013. (SCI二区)

    11. Xiaolei Xia and Huanlai Xing. Improving the performance of the BioHEL learning classifier system. Expert Systems With Applications, 40(15):6019-6031, 2013. (SCI二区)

    10. Xiaolei Xia, Huanlai Xing, and Xueqin Liu. Analyzing kernel matrices for the identification of differentially expressed genes. PLOS ONE, 8(12):e81683, 2013. (SCI三区)

    9.   Xiaolei Xia, Suxiang Qian, Xueqin Liu, and Huanlai Xing. Efficient model selection for sparse least-square SVMs. Mathematical Problems in Engineering, published online, 2013. doi: 10.1155/2013/712437. (SCI四区)

    8.   Huanlai Xing* and Rong Qu. A compact genetic algorithm for the network coding based resource minimization problem. Applied Intelligence, 36(4): 809-823, 2012. (SCI四区)

    7.   Huanlai Xing* and Rong Qu. A population based incremental learning for network coding resources minimization. IEEE Communications Letters, 15(7): 698-700, 2011. (SCI三区)

    6.   Huanlai Xing, Yuefeng Ji, Lin Bai, and Yongmei Sun. An improved quantum-inspired evolutionary algorithm for coding resource optimization based network coding multicast scheme. International Journal of Electronics and Communications (AEU), 64(12): 1105-1113, 2010. (SCI四区)

    5.   Huanlai Xing, Yuefeng Ji*, Lin Bai, Xin Liu, Zhijian Qu, and Xiaoling Wang. An adaptive-evolution-based quantum-inspired evolutionary algorithm for QoS multicasting in IP/DWDM networks. Computer Communications, 32(6): 1086-1094, 2009. (SCI三区)

    4.   Huanlai Xing, Xin Liu , Xing Jin, Lin Bai, and Yuefeng Ji*. A multi-granularity evolution based quantum genetic algorithm for QoS multicast routing problem in WDM networks. Computer Communications, 32(2): 386-393, 2009. (SCI三区)

    3.   Huanlai Xing, Yuefeng Ji*, Lin Bai, and Xin Liu. An adaptive-evolution-based quantum genetic algorithm for QoS multicast routing problem. Chinese Journal of Electronics, 18(3): 525-529, 2009. (SCI四区)

    2.   Huanlai Xing, Lin Bai, and Yuefeng Ji*. QoS multicast routing scheme using QGA in IP/DWDM networks. The Journal of China Universities of Posts and Telecommunications, 15(4): 95-100, 2008. (EI核心)

    1.   邢焕来潘炜*, 邹喜华一种解决组合优化问题的改进型量子遗传算法电子学报, 35(10): 1044-1047, 2007. (EI权威)

    Conference papers:

    28. 彭金成, 邢焕来, 张新有, 冯力*, 李强. 面向软件定义容器网络链路故障恢复方法. 第十一届中国指挥控制大会论文集, pp. 325-331, 2023. (获得大会优秀论文奖本届共13篇论文获奖).

    27. Huanlai Xing, Yutong Pu, Xinhan Wang*, Fuhong Song, Zhiwen Xiao, Li Feng, and Lexi Xu*. Big Data Oriented Multi-Objective SFC Placement in Dynamic MEC: A Distributed DRL Approach. In Proc. ICC 2024, accepted. (CCF C类推荐)

    26. Huanlai Xing, Huaming Ma, Zhiwen Xiao*, Xinhan Wang, Bowen Zhao, Shouxi Luo, Li Feng, and Lexi Xu*. On ECG Signal Classification: An NAS-empowered Semantic Communication System. In Proc. TrustCom 2023(CCF C类推荐)

    25. Huanlai Xing, Huaming Ma, Zhiwen Xiao*, Bowen Zhao, Jincheng Peng, Shouxi Luo, Li Feng, and Lexi Xu. FedDistillSC: A Distributed Semantic Communication System Based on Federated Distillation. In Proc. ICCT 2023.

    24. Huanlai Xing, Haolan Zhang, Xinhan Wang*, Lexi Xu, Zhiwen Xiao, Bowen Zhao, Shouxi Luo, Li Feng, and Yuanshun Dai. A Multi-user Deep Semantic Communication System based on Federated Learning with Dynamic Model Aggregation. In Proc. ICC 2023 2nd International Workshop on Semantic Communications.

    23. Shouxi Luo, Pingzhi Fan, Huanlai Xing, Long Luo, and Hongfang Yu. Eliminating Communication Bottlenecks in Cross-Device Federated Learning with In-Network Processing at the Edge. In Proc. ICC 2022(CCF C类推荐)

    22. Shouxi Luo, Pingzhi Fan, Ke Li, Huanlai Xing, Long Luo, and Hongfang Yu. Fast Parameter Synchronization for Distributed Learning with Selective Multicast. In Proc. ICC 2022(CCF C类推荐)

    21. Zhiwen Xiao, Xin Xu, Huanlai Xing*, Rong Qu, Fuhong Song, and Bowen Zhao. RNTS: Robust Neural Temporal Search for Time Series Classification. In ProcIJCNN 2021(CCF C类推荐)

    20. Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, and Zhaofei Yu. Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. In ProcINFOCOM 2021(CCF A类推荐)

    19. Juan Chen, Zhiwen Xiao, Huanlai Xing*, Penglin Dai, Shouxi Luo, and Muhammad Azhar Iqbal. STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. In ProcICC 2020, Dublin, Ireland, 2020. (CCF C类推荐)

    18. Shouxi Luo, Pingzhi Fan, Huanlai Xing, Hongfang Yu. Selective Coflow Completion for Time-sensitive Distributed Applications with Poco. In ProcICPP 2020, Edmonton, Canada, 2020. (CCF B类推荐)

    17. Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Jing Xu, and Victor CS Lee. Joint Resource Optimization for Adaptive Multimedia Services in MEC-Based Vehicular Networks. In ProcGLOBECOM 2019, Waikoloa, USA, 2020. (CCF C类推荐)

    16. Huanlai Xing*, Song Li, Penglin Dai, Shouxi Luo, Ke Li, and Hui Yang. A PBIL for Delay Constrained Virtual Network Function Placement With Load Balancing. In Proc. ACM TURC 2019, Chengdu, China, 2019.

    15. Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, and Victor Lee. A Learning Algorithm for Real-Time Service in Vehicular Networks with Mobile-Edge Computing. In Proc. ICC 2019, Shanghai, China, 2019. (CCF C类推荐)

    14. Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, and Victor Lee. Multi-objective Optimization for Network Resource Management in Heterogeneous Vehicular Networks. In Proc. WCNC 2019, Marrakech, Morocco, April 15-18, 2019.

    13. Xinhan Wang, Huanlai Xing*, and Hai Yang. On Multicast-Oriented Virtual Network Function Placement: a Modified Genetic Algorithm. In Proc. ICSINC 2018, LNEE 550, pp. 420-428, Yuzhou, China, 2019.

    12. Juan Chen, Huanlai Xing*, Hai Yang, and Lexi Xu. Network Traffic Prediction Based on LSTM Networks With Genetic Algorithm. In Proc.  ICSINC 2018, LNEE 550, pp. 411-419, Yuzhou, China, 2019.

    11. Yunhe Cui, Lianshan Yan, Huanlai Xing, Hui Yang, Jin Chen, and Wei Pan. SD-HDC: Software-Defined Hybrid Optical/Electrical Data Center Architecture. In Proc. GLOBECOM 2017, Singapore, 2017. (CCF C类推荐)

    10. Huanlai Xing*,Ying Xu, Rong Qu, and Lexi Xu. A PBIL for load balancing in network coding based multicasting. In Proc. 16th International Conference on Computational Science and Its Applications (ICCSA 2016), Part II, LNCS 9787, pp. 34-44, Beijing, China, 2016. 

    9.   Huanlai Xing*,Rong Qu, Lexi Xu, and Zhijian Qu. A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding. In Proc. 16th IEEE International Symposium on Communications and Information Technologies (ISCIT 2016), Qingdao, China, 2016.

    8.   Huanlai Xing*, Fuhong Song, Zhaoyuan Wang, Tianrui Li, and Yan Yang. An modified PBIL for network coding resource minimization in dynamic network environment. In Proc. 2nd IEEE International Conference on Computer and Communications (ICCC 2016), pp.1133-1137, Chengdu, China, 2016.

    7.   Huanlai Xing*, Fuhong Song, Zhaoyuan Wang, Tianrui Li, and Yan Yang.On Minimizing Network Coding Resource: A Modified Particle Swarm Optimization Approach. In Proc. 2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN 2016), Hefei, China, 2016. (CCF C类推荐)

    6.   Fuhong Song, Huanlai Xing*, Zhimin Xia, et al. A multiagent evolutionary algorithm for minimizing network coding resource in dynamic environment. In Proc. 2016 International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2016), pp.62-65, Xi’an, China, 2016.

    5.   Zhaoyuan Wang, Huanlai Xing*, Tianrui Li, Yan Yang, and Rong Qu. An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding. In Proc. 8th International Conference on Mobile Multimedia Communications (Mobimedia 2015), 2015. 

    4.   Ying Xu and Huanlai Xing. A Multi-objective Jumping Particle Swarm Optimization Algorithm for the Multicast Routing. In Proc. 5th International Conference on Swarm Intelligence (ICSI), Lecture Notes in Computer Science, volume 8795. 

    3.   Huanlai Xing and Rong Qu. A population based incremental learning for delay constrained network coding resource minimization. In: Proc. EvoApplications2011, Torino, Italy, 2011. 

    2.   Xiaoling Wang, Yuefeng Ji, Lin Bai, Huanlai Xing, and Jia Fu. Design and experimental demonstration of network coding in all-optical multicast networks. In: Proc. 2009 IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC2009), Beijing, 2009. 

    1.   Huanlai Xing, Xing Jin, Lin Bai, and Yongmei Sun. A quantum-inspired evolutionary algorithm for coding resource optimization based network coding multicasting. In: Proc. International Conference on Semantics, Knowledge and Grid 2008 (SKG2008), Beijing, China, pp. 453-456, 2008. 

    Book chapters:

    1.   Yuefeng Ji and Huanlai Xing. A Memory-Storable Quantum-Inspired Evolutionary Algorithm for Network Coding Resource Minimization. Evolutionary Algorithms, InTech, 2011.

    PhD Thesis:

    1.   Huanlai Xing. Evolutionary approaches for network coding multicast routing problems. PhD Thesis, University of Nottingham, 2013. Please visit: http://www.cs.nott.ac.uk/~rxq/supervision.htm

  • Research Interests:

    • 1. Semantic communications: task-oriented design, lightweight semantic encoder/decoder design, robustness against various channel conditions, model safety...; 

    • 2. Time series classification (TSC): representation learning, knowledge distillation, contrastive learning, federated learning, curriculum learning...;

    • 3. Network function virtualization (NFV): placement and scheduling of virtual network functions;

    • 4. Software defined networking (SDN): efficient unicast and multicast routing;

    • 5. Cloud computing and datacenters: software defined datacenters, energy efficient management, virtual machine (VM) placement and migration, distributed computing via Spark, ...;

    • 6. Blockchain: computing power allocation, anomaly detection;

    • 7. Deep learning: its application in communications and computer networks;

    • 8. Evolutionary computation: meta-heuristics, swarm optimization, and multi-objective optimization (based on Pareto-dominance/decomposition);


    Benchmark Problems: