[2023]

[J1] Jixiang Gan, Lei Zeng, Qi Liu^* and Xiaodong Liu, “A survey of intelligent load monitoring in IoT-enabled distributed smart grids”, International Journal of Ad Hoc and Ubiquitous Computing, 42(1):12-29, 2023. DOI: 10.1504/ijahuc.2023.127781

[2022]

[J1] Z. Yang^#, Q. Liu^#*, H. Wu, X. Liu and Y. Zhang, “CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-grained Echo Datasets,” Computer Modeling in Engineering & Sciences, online, pp. 1-20, 2022. DOI: 10.32604/cmes.2022.022045

[J2] Z. Yang^#, H. Wu^#, Q. Liu*, X. Liu, Y. Zhang, Xuefei Cao, "A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars", ISA Transactions, 132:155-166, 2022. DOI: 10.1016/j.isatra.2022.06.046

[J3] Y. Li, H. Lu, Q. Liu^*, Y. Zhang, X. Liu, “SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction”, Remote Sensing, 14(3): 768, 2022. DOI: 10.3390/rs14030768

[J4] Hao Wu#, Qi Liu^#*, Xiaodong Liu, Yonghong Zhang, Zhiyun Yang, “An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars”, World Wide Web, pp. 1-27, 2022. DOI: 10.1007/s11280-021-00988-y

[J5] Qi Liu^#, Jing Zhang^#, Xiaodong Liu, Yonghong Zhang, Xiaolong Xu, Mohammad Khosravi, Muhammad Bilal*, “Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks”, Physical Communication, 51:1-8, 2022. DOI: 10.1016/j.phycom.2021.101584

[J6] Qi Liu, Xueyan Wu, Xiaodong Liu, Yonghong Zhang, Yuemei Hu*, “Near-Data Prediction Based Speculative Optimization in a Distribution Environment”, Mobile Networks and Applications, 27:2339-2347, 2022. DOI: 10.1007/s11036-021-01793-7

[2021]

[J1] Jing Zhang^#, Qi Liu^#, Lu Chen^*, Ye Tian, Jun Wang, “Non-Intrusive Load Management Based on Distributed Edge and Secure Key Agreement”, Wireless Communications and Mobile Computing, 2021:1-13, 2021. DOI: 10.1155/2021/6691348

[J2] Hui Lu, Qi Liu, Xiaodong Liu, Yonghong Zhang, “A Survey of Semantic Construction and Application of Satellite Remote Sensing Image and Data”, Journal of Organizational and End User Computing, 33(6):1-20, 2021. DOI: 10.4018/JOEUC.20211101.oa6

[J3] Qi Liu, Xueyan Wu, Yinghang Jiang, Xiaodong Liu, Yonghong Zhang, Xiaolong Xu, Lianyong Qi, “A Fully Connected Deep Learning Approach to Upper Limb Gesture Recognition in a Secure FES Rehabilitation Environment”, International Journal of Intelligent Systems, 36(5): 2387-2411, 2021. DOI: 10.1002/int.22383

[J4] Qi Liu, Kondwani M. Kamoto*, Xiaodong Liu, Yonghong Zhang, Zaiqiang Yang, Mohammad R. Khosravi*, Yanwei Xu, Lianyong Qi, “A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles”, IEEE Sensors Journal, 21(14):15895-15903, 2021. DOI: 10.1109/JSEN.2020.3027684

[J5] Raphael Anaadumba^*, Qi Liu, Bockarie Daniel Marah, Francis Mawuli Nakoty, Xiaodong Liu and Yonghong Zhang, “A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid”, Cybersecurity, 4(1), 2021. https://doi.org/10.1186/s42400-020-00065-3

[C1] Zhiyun Yang, Hao Wu, Qi Liu, Xiaolong Xu, “An Improved Deep Network with Fusion of Physical and Residual Information for Radar Echo Extrapolation”, Radar 2021, Haikou, 2021

[2020]

[J1] Qi Liu^#, Francis Mawuli Nakoty^#, Xueyan Wu, Raphael Anaadumba, Xiaodong Liu, Yonghong Zhang, Lianyong Qi*, “A Secure Edge Monitoring Approach to Unsupervised Energy Disaggregation using Mean Shift Algorithm in Residential Buildings”, Computer Communications, 162: 187-195, 2020. DOI: 10.1016/j.comcom.2020.08.024

[J2] Qi Liu, Ruichao Mo, Xiaolong Xu, Xu Ma*, “Multi-objective resource allocation in mobile edge computing using PAES for Internet of Things”, Wireless Networks, 2020:1-13, 2020. DOI: 10.1007/s11276-020-02409-w

[J3] Qi Liu, Kondwani Michael Kamoto*, Xiaodong Liu, “Microgrids-as-a-Service for Rural Electrification in Sub-Saharan Africa”, Computers, Materials & Continua, 63(3): 1249-1261, 2020. DOI: 10.32604/cmc.2020.05598

[J4] Yinghang Jiang, Qi Liu^*, Williams Dannah, Dandan Jin, Xiaodong Liu, Mingxu Sun^*, “An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes”, Computers, Materials & Continua, 62(2): 713–729, 2020. DOI: 10.32604/cmc.2020.04604

[J5] Mingxu Sun*, Xueyan Wu, Qi Liu*, “A Survey of Lower Limb Rehabilitation Systems and Algorithms Based on Functional Electrical Stimulation”, Computers, Materials & Continua, 62(1): 281–292, 2020.

[C1] Xueyan Wu, Mingxu Sun, Haiping Mu, Qi Liu, Xuqun Pei, Bin Ning, A Free Placement Approach to Upper-Limb Tracking Using Inertial Sensors, in International Conference on Physical and Social Computing, CPSCom 2020, Rhodes, Greece, 2020. DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00117

[C2] Xueyan Wu, Yinghang Jiang, Qi Liu, Hao Wu, Xiaodong Liu, A Fast Classification Approach to Upper-Limb Posture Recognition, in International Conference on Physical and Social Computing, CPSCom 2020, Rhodes, Greece, 2020. DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00118

[C3] Oscar Famous Darteh, Qi Liu, Collins Oduro, Xiaodong Liu, Charity Oseiwah, A Survey on an Artificial Intelligence Approach to Maintenance of Solar Photovoltaic Modules, in International Conference on Computational & Experimental Engineering and Sciences, ICCES 2020, Montenegro, 2020.

[2019]

[J1] Qi Liu, Kondwani Michael Kamoto*, Xiaodong Liu, Mingxu Sun, Nigel Linge, “Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models”, IEEE Transactions on Consumer Electronics, 65(1): 28-37, 2019.

[J2] Qi Liu*, Min Lu, Xiaodong Liu, Nigel Linge, “Non-Intrusive Load Monitoring and Its Challenges in a NILM System Framework”, International Journal of High Performance Computing and Networking, 14(1): 102-111, 2019.

[J3] Qi Liu, Yanyun Zou, Xiaodong Liu and Nigel Linge, “A survey on rainfall forecasting using artificial neural network”, International Journal of Embedded Systems, 11(2): 240-249, 2019.

[J4] Hao Wu, Qi Liu*, Xiaodong Liu, “A Review on Deep Learning Approaches to Image Classification and Object Segmentation”, Computers, Materials & Continua, 60(2): 575–597, 2019.

[J5] Mingxu Sun#*, Yinghang Jiang#, Qi Liu*, Xiaodong Liu, “An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies”, Computers, Materials & Continua, 60(1):67-83, 2019.

[J6] Jibo Chen, Yingxi Song, Guizhi Wang, Qi Liu, “WSN-aided haze pollution governance: modelling public willingness based on structural equations”, International Journal of Sensor Networks, 29(2): 111-120, 2019.

[J7] Yecai Guo, Chen Li, Qi Liu, “R2N: A Novel Deep Learning Architecture for Rain Removal from Single Image”, Computers, Materials & Continua, 62(2): 713–729, 2020.

[C1] Mingxu Sun, Zhiyun Yang, Hao Wu, Qi Liu*, Xiaodong Liu, An Approach to Deep Learning Service Provision with Elastic Remote Interfaces, in International Conference on Artificial Intelligence and Security, ICAIS 2019, pp. 276-286, Lecture Notes in Computer Science, vol. 11634. Springer, Cham.

[2018]

[J1] B. Xiao, Z. Wang, Q. Liu*, X. Liu, “SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data”, Computers, Materials & Continua, 56(3): 365–379, 2018.

[J2] X. Liu, Q. Liu*, “A Dual-spline Approach to Load Error Repair in a HEMS Sensor Network”, Computers, Materials & Continua, 57(2): 179–194, 2018.

[J3] Qi Liu, F. Chen, F. Chen, Z. Wu, X. Liu, and N. Linge, “Home appliances classification based on multi-feature using ELM”, International Journal of Sensor Networks, 28(1): 34-42, 2018. DOI: 10.1504/IJSNET.2018.10015979. (SCI)

[J4] Xiaodong Liu and Qi Liu*, “A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system”, Personal and Ubiquitous Computing, 22(1): 111-120, Feb. 2018. DOI: 10.1007/s00779-017-1093-2. (SCI)

[J5] Qi Liu, Xuedong Chen, Xiaodong Liu and Nigel Linge, “CACA-UAN: A Context-Aware Communication Approach to Efficient and Reliable Underwater Acoustic Sensor Networks”, International Journal of Sensor Networks, 26(1): 1-11, 2018. DOI: 10.1504/IJSNET.2017.10007398 (SCI)

[J6] Qi Liu, Shengjun Li, Xiaodong Liu, Nigel Linge, “A Method for Electric Load Data Verification and Repair in a Home Energy Management Environment”, International Journal of Embedded Systems, 10(3): 248 - 256, 2018. DOI: 10.1504/IJES.2018.091788. (EI)

[C1] Qi Liu*, Yinghang Jiang, A Survey of Machine Learning-based Resource Scheduling Algorithms in Cloud Computing Environment, in International Conference on Cloud Computing and Security, ICCCS 2018, pp. 243-252, Lecture Notes in Computer Science, vol. 11067, Springer, Cham.

[C2] Kondwani M. Kamoto and Qi Liu*, Monitoring Home Energy Usage Using an Unsupervised NILM Algorithm Based on Entropy Index Constraints Competitive Agglomeration (EICCA), in International Conference on Cloud Computing and Security, ICCCS 2018, pp. 478-490, Lecture Notes in Computer Science, vol. 11067, Springer, Cham.

[C3] X. Liu, Q. Liu*, Appliance Recognition Based on Continuous Quadratic Programming, in International Conference on Cloud Computing and Security, ICCCS 2018, pp. 63-72, Lecture Notes in Computer Science, vol. 11067, Springer, Cham.

[C4] Xiaodong Liu, Qi Liu*, Yanyun Zou, Guizhi Wang, A Self-organizing LSTM-Based Approach to PM2.5 Forecast, in International Conference on Cloud Computing and Security, ICCCS 2018, pp. 683-693, Lecture Notes in Computer Science, vol. 11067, Springer, Cham.

[C5] Xiaodong Liu, Qi Liu*, Yanyun Zou, Qiang Liu*, A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme, in International Conference onSecurity with Intelligent Computing and Big-data Services, SICBS 2018, pp. 701-706, Advances in Intelligent Systems and Computing, vol 895. Springer, Cham.

[Before 2018]

Journal Papers

[1] Qi Liu, Kai Zhang, Xiaodong Liu and Nigel Linge, “Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink”, International Journal of Sensor Networks, Vol. 25, no. 2, pp. 93-103, 2017. DOI: 10.1504/IJSNET.2017.10007397 (SCI)

[2] Qi Liu, Weidong Cai, Qiang Liu, Jian Shen, Zhangjie Fu, Xiaodong Liu, Nigel Linge, “An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment”, KSII Transactions on Internet and Information Systems, Vol. 11, no. 2, pp. 670-686, 2017. DOI: 10.3837/tiis.2017.02.004 (SCI)

[3] Qi Liu, Weidong Cai, Jian Shen, Xiaodong Liu and Nigel Linge, “An adaptive approach to better load balancing in a consumer-centric cloud environment”, IEEE Transactions on Consumer Electronics, Vol. 62, no. 3, pp. 243-250, 2016. DOI: 10.1109/TCE.2016.7613190 (SCI)

[4] Qi Liu, Weidong Cai, Jian Shen, Zhangjie Fu, Xiaodong Liu and Nigel Linge, “A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment”, Security and Communication Networks, Vol. 9, no. 17, pp. 4002–4012, 2016. DOI: 10.1002/sec.1582 (SCI) (ESI Highly Cited Paper)

[5] Qi Liu, Weidong Cai, Dandan Jin, Jian Shen, Zhangjie Fu, Xiaodong Liu and Nigel Linge, “Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment”, Sensors, Vol. 16, no. 9, 1386, 2016. DOI:10.3390/s16091386 (SCI)

[6] Qi Liu, Weidong Cai, Baowei Wang, Zhangjie Fu and Nigel Linge, “An Optimization Scheme in MapReduce for Reduce Stage”, International Journal of Grid and Distributed Computing, vol. 9, no. 8, pp. 197-208, 2016. (Emerging SCI)

[7] Qi Liu, Weidong Cai, Zhangjie Fu, Jian Shen and Nigel Linge, “A Smart Strategy for Speculative Execution Based on Hardware Resource in a Heterogeneous Distributed Environment”, International Journal of Grid and Distributed Computing, vol. 9, no. 2, pp. 203-214, 2016. (Emerging SCI)

[8] Zhili Zhou, Ching-Nung Yang, Beijing Chen, Xingming Sun, Qi Liu, Q. M. Jonathan Wu, “Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation”, IEICE Transactions on Information and Systems, Vol. 99-D, no. 6, pp.  1531-1540, 2016. (SCI)

[9] Jian Shen, Haowen Tan, Sangman Moh, Ilyong Chung, Qi Liu, and Xingming Sun, “Enhanced Secure Sensor Association and Key Management in Wireless Body Area Networks”, Journal Of Communications And Networks, Vol. 17, no. 5, pp. 453-462, 2015. (SCI)

[10] Xingming Sun, Shuangshuang Yan, Baowei Wang, Li Xia, Qi Liu, Hui Zhang, “Air Temperature Error Correction Based on Solar Radiation in an Economical Meteorological Wireless Sensor Network”, Sensors, Vol. 15, no. 8, pp. 18114-18139, 2015. (SCI)

[11] Zhangjie Fu, Xingming Sun, Qi Liu, Lu Zhou, Jiangang Shu, “Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing”, IEICE Transactions on Communications, Vol. E98-B, no. 1, pp. 190-200, 2015. (SCI)

[12] Qi Liu, Dandan Jin, Jian Shen, Zhangjie Fu and Nigel Linge, “A WSN-Based Prediction Model of Microclimate in a Greenhouse Using Extreme Learning Approaches”, ICACT Transactions on Advanced Communications Technology, Vol. 4, no. 6, pp. 730 – 735, November 2015. (EI)

[13] Huan Liu, Baowei Wang, Xingming Sun, Tao Li, Qi Liu and Yunbiao Guo, “DCSCS: A Novel Approach to Improve Data Accuracy for Low Cost Meteorological Sensor Networks”, Information Technology Journal, 13(9), pp.1640-1647, 2014. (EI)

[14] Xingming Sun, Aoran Zhuang, Baowei Wang, Tao Li and Qi Liu, “INFLE: An Improved Neighbor-Based Fuzzy Logic Event Detecting Algorithm for Wireless Sensor Networks”, International Journal of Future Generation Communication and Networking, 7(3), pp. 13-24, 2014. (EI)

[15] Li Chen, Xingming Sun, Zhihua Xia, and Qi Liu, An Efficient and Privacy-Preserving Semantic Multi-Keyword Ranked Search over Encrypted Cloud Data, International Journal of Security and Its Applications, 2014, 8 (2):323-332. (EI)

[16] Qi Liu, G. Cooper, N. Linge, H. Takruri and R. Sowden, “DEHEMS: Creating a Digital Environment for Large-Scale Energy Management at Homes”, IEEE Transactions on Consumer Electronics, vol. 59, no. 1, pp. 62-69, 2013. (SCI)

[17] Qi Liu and H. G. Wu, “Carboxylic-supported copper complexes as catalyst for the green oxidative coupling of 2,6-dimethylphenol: Synthesis, characterization and structure”, Comptes Rendus Chimie, no.16, pp. 451-461, 2013. (SCI)

[18] Qi Liu, N.Linge and H. G. Wu, “An Approach to Context Representation, Discovery and Sharing in Mobile Ad-Hoc and Sensor Networks”, International Journal of Multimedia and Ubiquitous Engineering, Vol. 8, no. 2, pp. 159-170, 2013. (EI)

[19] Qi Liu, N. Linge and V. Lynch, “Implementation of Automatic Gas Monitoring in a Domestic Energy Management System”, IEEE Transactions on Consumer Electronics, vol. 58, no. 3, pp. 781-786, 2012. (SCI)

[20] Qi Liu, N. Linge, J. Wang, S. Ji, T. H. Ma, “An Context-aware Management and Control Mechanism in a Mobile Ad-Hoc Environment”, International Journal of Grid and Distributed Computing, vol. 5, no. 4, pp. 21-32, 2012. (EI)

[21] Qi Liu, F. Gao, “Context-aware location discovery exchange in a ubiquitous environment”, The Journal of China Universities of Posts and Telecommunications, vol. 19, no. 6, pp. 73-78, 2012. (EI)

[22] Qi Liu, N. Linge, Feng Gao, “A Context-aware Protocol for Location Discovery Exchange in a Ubiquitous Environment”, International Journal of Multimedia and Ubiquitous Engineering, vol. 7, no. 2, pp. 177-182, 2012. (EI)

[23] Qi Liu, N. Linge, F. Gao, “Towards Context Exchange in a MANET Environment”, International Journal of Future Generation Communication and Networking, vol. 5, no. 2, pp. 61-70, 2012. (EI)

[24] Vasu Sundramoorthy, Grahame Cooper, Nigel Linge, Qi Liu, “The Challenges and Design Concerns for the Domestication of Energy Monitoring Systems”, IEEE Pervasive Computing, vol. 10, no. 1, pp. 20-27, 2011. (SCI)

Conference Papers

[1] Xiaodong Liu and Qi Liu, "An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment", 2018 3rd International Conference on Computer and Communication Systems (ICCCS), Nagoya, Japan, 27-30 April 2018, pp. 306-309. DOI: 10.1109/CCOMS.2018.8463242

[2] Xiaodong Liu and Qi Liu, "An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment", 2017 IEEE International Conference on Embedded and Ubiquitous Computing (EUC 2017), Guangzhou, China, 21-24 July 2017, pp. 128-131. DOI: 10.1109/CSE-EUC.2017.208. (EI)

[3] Qi Liu, Xuedong Chen, Xiaodong Liu, Nigel Linge, CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network, Proceedings of the 2nd International Conference on Cloud Computing and Security (ICCCS 2016), Nanjing, China, pp. 37-47. (EI)

[4] Qi Liu, Dandan Jin, Xiaodong Liu and Nigel Linge, A Survey of Speculative Execution Strategy in MapReduce, ICCCS 2016, Part I, LNCS 10039, pp. 296–307, 2016. (EI)

[5] Qi Liu, Shengjun Li, Xiaodong Liu and Nigel Linge, A Method for Electric Load Data Verification and Repair in Home Environment, ICCCS 2016, Part II, LNCS 10040, pp. 244–253, 2016. (EI)

[6] Qi Liu, Min Lu, Xiaodong Liu and Nigel Linge, An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework, ICCCS 2016, Part II, LNCS 10040, pp. 254–263, 2016. (EI)

[7] Qi Liu, Kai Zhang, Xiaodong Liu and Nigel Linge, Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink, ICCCS 2016, Part II, LNCS 10040, pp. 232–243, 2016. (EI)

[8] Qi Liu, Weidong Cai, Jian Shen, Zhangjie Fu, Nigel Linge, A Smart Speculative Execution Strategy based on Node Classification for Heterogeneous Hadoop Systems, the 18th International Conference on Advanced Communication Technology (ICACT), pp. 223-227, Korea, 2016. (EI)

[9] Qi Liu, Kai Zhang, Jian Shen, Zhangjie Fu, Nigel Linge, GLRM：An Improved Grid-based Load-balanced Routing Method for WSN with Single Controlled Mobile Sink, the 18th International Conference on Advanced Communication Technology (ICACT), pp. 34-38, Korea, 2016. (EI)

[10] Qi Liu, Weidong Cai, Zhangjie Fu, Jian Shen, Nigel Linge, An Optimized Strategy for Speculative Execution in a Heterogeneous environment, the 9th International Conference on Future Generation Communication and Networking (FGCN), pp. 9-12, Korea, 2016. (EI)

[11] Qi Liu, Weidong Cai, Jian Shen, Dandan Jin, Nigel Linge, A Load-Balancing Approach Based on Modified K-ELM and NSGA-II in a Heterogeneous Cloud Environment, 2016 IEEE International Conference on Consumer Electronics (ICCE 2016), pp. 415-416, USA, 2016. (EI)

[12] Qi Liu, Weidong Cai, Jian Shen, Baowei Wang, Zhangjie Fu and Nigel Linge, An Extreme Learning Approach to Fast Prediction in the Reduce Phase of a Cloud Platform, ICCCS 2015, LNCS 9483, pp. 417–423, 2015. (EI)

[13] Qi Liu, Weidong Cai, Jian Shen, Baowei Wang, Zhangjie Fu and Nigel Linge, VPCH: A Consistent Hashing Algorithm for Better Load Balancing in a Hadoop Environment, the Third International Conference on Advanced Cloud and Big Data (CBD), pp. 69-72, China, 2015. (EI)

[14] Q. Liu, Y. Y. Zhang, J. Shen, B. Xiao, N. Linge, A WSN-based prediction model of microclimate in a greenhouse using an extreme learning approach, the 17th International Conference on Advanced Communication Technology (ICACT), pp. 133-137, Korea, Jul. 2015. (EI)

[15] Q. Liu, J. Shen, B. Xiao, B. W. Wang and N. Linge, EECD: A Code Dissemination Protocol in a WSN-based Home Energy Management System, 2015 IEEE International Conference on Consumer Electronics (ICCE 2015), pp. 279-280, Las Vegas, USA, Jan. 9-12, 2015. (EI)

[16] Q. Liu, H. W. Qian, B. W. Wang, J. Shen and N. Linge, An Enhanced Routing Algorithm for Congestion Control in A Home Energy Management System, 2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE 2013), pp. 438-439, Tokyo, Japan, 2013. (EI)

[17] Q. Liu, J. W. Su, B. W. Wang, J. Shen and N. Linge, An MSB Embedding Approach to Data Integrity Protection in a Ubiquitous Environment, the Third edition of the International Conference on the Innovative Computing Technology (INTECH 2013), pp.97-100 , London, UK, 2013, (EI)

[18] Q. Liu, BluePot: An Ambient Persuasive Approach to Domestic Energy Saving, 2013 IEEE International Conference on Consumer Electronics (ICCE 2013), pp. 106-107, Las Vegas, USA, Jan. 11-14, 2013. (EI)

[19] Q. Liu, N. Linge, M. Hope, J. Wang, T-H Ma, S. Ji and J-U Kim, An Approach to Context Representation Discovery and Sharing in Mobile Ad-Hoc Networks, in The 2012 International Conference on Advanced Information Technology and Sensor Application (AITS2012), p. 56, Daejeon, Korea, Feb. 28-29, 2012.

[20] Q. Liu, N. Linge, F. Gao, J. Wang, T-H Ma and S. Ji, Towards Discovery and Exchange Location Information in a Ubiquitous Environment, in International Conference on Information Science and Technology (IST2012), pp. 141-143, Shanghai, China, Apr. 28-30, 2012.

[21] Q. Liu, N. Linge and J. Wang, Efficient Management and Loop Control in a Mobile Ad-Hoc Environment, in International Conference on Information Technology and Computer Science (ITCS 2012), pp. 13-18, Porto, Portugal, Jul. 29-31, 2012.

[22] Q. Liu, V. Sundramoorthy, N. Linge, G. Cooper and J. Cooper, DEHEMS: The Design and Implementation of Wide-scale Domestic Energy Monitoring, in IEEE workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2010), pp. 80-86, Taranto, Italy, Sep. 9, 2010. (EI)

[23] V. Sundramoorthy, Q. Liu, G. Cooper, N. Linge and J. Cooper, DEHEMS: A User-Driven Approach for Domestic Energy Monitoring Systems, Internet of Things 2010, pp. 1-8, Tokyo, Japan, Nov. 29-Dec. 1, 2010.  (EI)

[24] Q. Liu and N. Linge, Towards a New Context Representation, Maintenance and Discovery in Mobile Ad Hoc Networks, The Convergence of Telecommunications, Networking and Broadcaseting, PGNet 2009, 2009.   

[25] Q. Liu and N. Linge, A Novel Platform for Context Maintenance and Discovery in a Ubiquitous Environment, in The IEEE/IFIP International Conference On Embedded and Ubiquitous Computing (EUC 2008), pp. 565-570, Shanghai, China, Dec. 17-20, 2008.    (EI)

[26] Q. Liu and N. Linge, CiComm: A Communication Protocol to Facilitate Ad Hoc Context Resources and Services Discovery, The Convergence of Telecommunications, Networking and Broadcaseting, PGNet 2008, 2008.

[27] Q. Liu and N. Linge, Context-Driven Ad-Hoc Networks, in doctoral consortium of the 12th international Conference on Natural Language Applications to Information Systems, 2007.  

1. 发明专利

已转化

1. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种智能车窗控制系统及其控制方法，发明专利，2019-12-17，已转化ZL201510713124.9

2. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种MapReduce中备份任务推测执行策略的优化方案，发明专利，2019-04-16，已转化ZL201510752617.3

3. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种基于云平台的室内交互式引导实现方法，发明专利，2019-01-08，已转化ZL201510655660.8

4. 刘琦、陈雪冬、付章杰、沈剑、王保卫，一种用于大田监控的移动传感器网络低功耗路由方法，发明专利，2018-11-23，已转化ZL201510663303.6

已授权

1. 肖博、陈敏东、刘琦，一种钴配合物及其制备方法与应用，发明专利，2017-09-19，已授权ZL201510283631.3

2. 肖博、陈敏东、刘琦，一种钴配合物制备方法及其用途，发明专利，2016-06-29，已授权ZL201310664449.3

3. 肖博、陈敏东、刘琦，一种铜配合物及其制备方法与应用，发明专利，2016-05-11，已授权ZL201310230815.4

4. 李燕、郭瑞明、刘琦、钟水明、郑关胜、马廷淮、梅园、杨轩、田伟、潘锦基、李含光、王玉祥，一种生物质重组材卧式压机用穿销机构，发明专利，2013-09-25，已授权ZL201310258880.8

已公开

1. 刘琦、吴昊、肖博，一种用电器种类识别方法，发明专利，2017-04-26，已公开CN106599138A

2. 刘琦、金丹丹、肖博、沈剑、付章杰，一种同构子图查询优化方法，发明专利，2017-02-08，已公开CN106383863A

3. 刘琦、王珍、肖博、沈剑、付章杰，一种基于移动终端的分解气流解锁方法，发明专利，2016-10-12，已公开CN106022025A

4. 刘琦、蒋应行、肖博、沈剑、付章杰，一种基于手势的雷达拼图显示优化方法，发明专利，2016-04-20，已公开CN105512170A

5. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种基于云平台和核极限学习机的电器状态检测方法，发明专利，2016-03-30，已公开CN105447507A

6. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种基于Hadoop的用电反馈实现方法，发明专利，2016-03-23，已公开CN105427184A

7. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种基于Hadoop的电力云平台设计方案，发明专利，2016-02-10，已公开CN105321124A

8. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种MapReduce中备份任务推测执行策略的优化方案，发明专利，2016-02-03，已公开CN105302647A

9. 刘琦、蔡卫东、肖博、张凯、李鑫，一种基于云平台的外卖在线派送实现方法，发明专利，2015-09-16，已公开CN104915902A

10. 刘琦、张园园、肖博、杨再强、付章杰，一种设施农业环境因子快速预测方法，发明专利，2014-12-10，已公开CN201410424189

11. 刘琦、肖博、施铮，一种用于电力需求侧反馈信息的表义方法，发明专利，2014-07-30，已公开CN103955520A

12. 刘琦、汤波、肖博，一种用于电力需求侧采集节点基于多播树的代码分发方法，2014-08-06，已公开CN103974202A

13. 刘琦、汤波、肖博，一种基于链路质量的电力需求侧采集网络数据分发方法，2014-08-06，已公开，CN103974203A

14. 刘琦、汤波、肖博，一种电力需求侧消费状态的图形化反馈方法，发明专利，2014-08-13，已公开CN103985063A

2. 实用新型专利

已授权

1. 刘琦、张静、吴梓皓，一种基于无线传输的非侵入式医疗设备检测系统，实用新型，2021-11-02，已授权ZL202120550248.0

2. 刘琦、肖博、张静、路慧、吴昊，一种基于泛在物联网的智慧用电管理系统，实用新型，2020-11-24，已授权ZL202020158740.1

3. 刘琦、张凯、沈剑、李鑫，一种基于多传感器的癫痫病人户外监测系统，实用新型，2015-12-16，已授权ZL201520489530.7

4. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种智能车窗控制系统，实用新型，2016-03-23，已授权ZL201520841750.1

5. 刘琦、李鑫、蔡卫东，一种电力需求侧能源信息采集节点，实用新型，2016-03-02，已授权ZL201520851977.4

6. 刘琦、蔡卫东、肖博、沈剑、付章杰，一种基于超声波测距和车速传感器的车载智能提示装置，实用新型，2015-11-11，已授权ZL2015201481284.0

7. 刘琦、蔡卫东，基于北斗定位及车速检测的城市车辆动态分布监控系统，实用新型，2015-08-19，已授权ZL201520297879.0

8. 刘琦、刘兢兢，一种通用汽车检测设备二次仪表终端，实用新型，2013-05-22，已授权ZL201220602472.0

（一）海外项目

1. Context-Active Resilience in Cyber Physical Systems, EU H2020 (701697), 2016.12-2018.12, € 195k, PI

2. Digital Environment Home Energy Management System, EU FP7 (224609), 2009.9 - 2011.5, £1m, participated as a Research Assistant

3. High Accuracy DA Converter System, Salford Electronic Consultants Ltd. (TL50106), 2009.8 – 2010.1, PI

4. An Energy Usage Monitoring System, Salford Electronic Consultants Ltd. (TL50121), 2009.4 – 2010.1, PI

5. A Vehicle Monitoring Plan Based on an SMS/GSM System, Salford Electronic Consultants Ltd. (TL50112), 2008.8 – 2008.10, PI

6. A Vehicle Positioning System Using GPRS/GPS, Salford Electronic Consultants Ltd. (TL50117), 2008.10 – 2009.4, PI

7. So how green are you? Looking at how you consume energy in your home, Early Career Award, 2010, co-PI

（二）国内项目

纵向

1. 面向边云协同的精细化强对流天气短临外推方法研究，国家自然科学基金面上项目（42275157），2023.01-2026.12，55万，主持

2. 米级国产卫星数据在“一带一路”区域的云服务与应用示范，国家重点研发计划项目——政府间国际科技创新合作（2021YFE0116900），2022.01-2023.12，400万，主研3/24

3. 分布式电力需求侧主动反馈与评价机制研究，江苏省自然科学基金面上项目（BK20191398），江苏省科技厅，2019.7-2022.6，10万，主持

4. 多基站雷达气象杂波特征分析、表示与分类技术，军委装备发展部“十三五”装备预研国防科技重点实验室基金（61424010208），2019.11-2021.11，30万，主持

5. 电力信息物理融合系统负荷反馈服务关键方法，江苏高校中外合作办学平台联合科研项目，2019.10-2021.10，10万，主持

6. 大数据时代雾霾污染经济损失评估及防治对策研究，国家社会科学基金重大项目（BRA2018332），2017.11-2021.11，60万，子课题负责人

7. 电力需求侧自主反馈方法与质量保障机制研究，江苏省第五期“333高层次人才培养工程”培养资金资助项目（BRA2018332），江苏省委组织部，2018.12-2020.12，5万，主持

8. 基于云架构的电能消费轻量反馈关键技术研发，“六大人才高峰”，江苏省人力资源和社会保障厅，2014.10-2016.12，5万，主持

9. 基于轻量传感器网络的需求侧安全直接反馈及行为激励策略关键方法研究，国家自然科学基金青年项目（61300238），国家自科基金委，2014.1-2016.12，25万，主持

10. 智能电网需求侧实时反馈关键方法及节能激励策略研究，江苏省自然科学基金（BK20131004），江苏省科技厅，2013.7-2016.6，20万，主持

11. 物联网中基于用户上下文的能源使用评估系统，南京市留学回国资助项目，南京市人社局，2012.1 – 2012.12，2万，主持

12. 温室大棚气象灾害预警及设施环境智能化控制关键技术研究，苏州市科技计划项目（应用基础研究计划），苏州市科技局，2013.7-2015.6，10万，主持

13. 基于物联网技术的循环农业应用研究与示范，江苏省科技支撑计划（农业），江苏省科技厅（BE2012473），2012.03-2014.12，20万，主研

横向

1. 等离子体原子发射光谱仪电磁兼容性改进设计，企业委托项目，2022.08-2022.11，8万，主持

2. 小样本深度学习方法研究及演示软件系统制作，高校委托项目，2022.4-2022.8，12万，主持

3. 气象监视模块开发服务，企业委托项目，2021.12-2022.12，25.5万，主持

4. 自然灾害模块开发服务，企业委托项目，2021.12-2022.12，16.3万，主持

5. 基于深度学习的杂波建模及软件开发，高校委托项目，2021.6-2021.9，20万，主持

6. 基于小样本机器学习方法的输电线路典型冰风灾害特征识别及预测技术研究，企业委托项目，2020.5-2021.9，37.66万，主持

7. 电力设备监测预警系统开发，企业委托项目，2019.7-2020.12，150万，主持

8. 受火混凝土破坏度学习预测模型研发，高校委托项目，2019.9-2021.12，11.5万，主持

9. 激光射击系统，企业委托项目，2015.9-2016.12，8万，主持

10. 基于无线网络的车辆检测数据汇聚方法研究，企业委托项目，2014.11-2015.12，30万，主持

11. 扬子石化物联网技术咨询与应用示范项目，企业委托项目，2012.3-2012.6，5万，主持

12. 基于循环农业的物联网基地建设,企业委托项目, 2012.3-2014.12，4万，主持

• 无线网络通信

• 用电侧负荷分析

• 气象灾害监测预警

• FES过程评估

• 边云协同