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Publications 2023 [C] Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, and Dongsheng Luo, Parametric Augmentation for Time Series Contrastive Learning, International Conference on Learning Representations (ICLR), May 2024, acceptance ratio: 31%. [J] Junyang Shi, Aitian Ma, Xia Cheng, Mo Sha, and Xi Peng, Adapting Wireless Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation, IEEE/ACM Transactions on Networking, accepted for publication. [C] Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, and Dongsheng Luo, AutoTCL: Automated Time Series Contrastive Learning with Adaptive Augmentations, The Second Workshop of Artificial Intelligence for Time Series Analysis: Theory, Algorithms, and Applications (AI4TS), August 2023 (Best Paper Award). [J] Xia Cheng, Junyang Shi, and Mo Sha, and Linke Guo, Revealing Smart Selective Jamming Attacks in WirelessHART Networks, IEEE/ACM Transactions on Networking, Vol. 31, Issue 4, pp. 1611-1625, August, 2023. [C] Xia Cheng and Mo Sha, Meta-Learning Based Runtime Adaptation for Industrial Wireless Sensor-Actuator Networks, IEEE/ACM International Symposium on Quality of Service (IWQoS), June 2023, acceptance ratio: 62/264 = 23.5% (Best Paper Award Nominee). [C] Di Mu, Yitian Chen, Xingjian Chen, Junyang Shi, and Mo Sha, Enabling Direct Message Dissemination in Industrial Wireless Networks via Cross-Technology Communication, IEEE International Conference on Computer Communications (INFOCOM), May 2023, acceptance ratio: 252/1312 = 19.2%. [J] Xia Cheng and Mo Sha, Autonomous Traffic-Aware Scheduling for Industrial Wireless Sensor-Actuator Networks, ACM Transactions on Sensor Networks, Vol. 19, Issue 2, pp. 38:1-38:25, February 2023. 2022 [C] Qi Li, Keyang Yu, Dong Chen, Mo Sha, and Long Cheng, TrafficSpy: Disaggregating VPN-encrypted IoT Network Traffic for User Privacy Inference, IEEE Conference on Communications and Network Security (CNS), October 2022, acceptance ratio: 43/122 = 35.2%. [C] Junyang Shi and Mo Sha, Localizing Campus Shuttles from One Single Base Station Using LoRa Link Characteristics, IEEE International Conference on Computer Communications and Networks (ICCCN), July 2022, acceptance ratio: 39/130=30.0%. [J] Junyang Shi, Xingjian Chen, and Mo Sha, Enabling Cross-technology Communication from LoRa to ZigBee in the 2.4 GHz Band, ACM Transactions on Sensor Networks, Vol. 18, Issue 2, pp. 21:1-21:23, May 2022. [J] Junyang Shi, Di Mu, and Mo Sha, Enabling Cross-technology Communication from LoRa to ZigBee via Payload Encoding in Sub-1 GHz Bands, ACM Transactions on Sensor Networks, Vol. 18, Issue 1, pp. 6:1-6:26, February 2022. 2021 [C] Xia Cheng and Mo Sha, ATRIA: Autonomous Traffic-Aware Transmission Scheduling for Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Network Protocols (ICNP), November 2021, acceptance ratio: 38/154 = 24.6%. [C] Xia Cheng, Junyang Shi, Mo Sha, and Linke Guo, Launching Smart Selective Jamming Attacks in WirelessHART Networks, IEEE International Conference on Computer Communications (INFOCOM), May 2021, acceptance ratio: 252/1266 = 19.9%. [J] Weitao Wang, Yuebin Bai, Peng Feng, Jun Huang, Mo Sha, and Jianpei Tantai, DTN-Balance: A Forwarding-Capacity and Forwarding-Queue Aware Routing for Self-organizing DTNs, Wireless Personal Communications, Vol. 118, Issue 1, pp. 575-598, May 2021. [C] Junyang Shi, Mo Sha, and Xi Peng, Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation, USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2021, acceptance ratio (fall deadline): 40/255 = 15.6%. 2020 [C] Di Mu, Yitian Chen, Junyang Shi, and Mo Sha, Runtime Control of LoRa Spreading Factor for Campus Shuttle Monitoring, IEEE International Conference on Network Protocols (ICNP), October 2020, acceptance ratio: 30/180 = 16.7%. [J] Di Mu, Mo Sha, Kyoung-Don Kang, and Hyungdae Yi, Radio Selection and Data Partitioning for Energy-Efficient Wireless Data Transfer in Real-Time IoT Applications, Ad Hoc Networks, Special Issue on Algorithms, Systems and Applications for Distributed Sensing, Vol. 107, pp. 1-11, October 2020. [J] Junyang Shi and Mo Sha, Parameter Self-Adaptation for Industrial Wireless Sensor-Actuator Networks, ACM Transactions on Internet Technology, Special Issue on Evolution of IoT Networking Architectures, Vol. 20, Issue 3, pp. 28:1-28:25, September 2020. [J] Xia Cheng, Junyang Shi, and Mo Sha, Cracking Channel Hopping Sequences and Graph Routes in Industrial TSCH Networks, ACM Transactions on Internet Technology, Special Issue on Evolution of IoT Networking Architectures, Vol. 20, Issue 3, pp. 23:1-23:28, September 2020. 2019 [C] Junyang Shi, Xingjian Chen, and Mo Sha, Enabling Direct Messaging from LoRa to ZigBee in the 2.4 GHz Band for Industrial Wireless Networks, IEEE International Conference on Industrial Internet (ICII), November 2019, acceptance ratio: 23/138 = 16.7%. [C] Junyang Shi, Di Mu, and Mo Sha, LoRaBee: Cross-Technology Communication from LoRa to ZigBee via Payload Encoding, IEEE International Conference on Network Protocols (ICNP), October 2019, acceptance ratio: 30/210 = 14.2%. [J] Junyang Shi, Mo Sha, and Zhicheng Yang, Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks, IEEE/ACM Transactions on Networking, Vol. 27, Issue 4, pp. 1669-1682, August 2019. [J] Di Mu, Yunpeng Ge, Mo Sha, Steve Paul, Niranjan Ravichandra, and Souma Chowdhury, Robust Optimal Selection of Radio Type and Transmission Power for Internet of Things, ACM Transactions on Sensor Networks, Vol. 15, Issue 4, pp. 39:1-39:25, July 2019. [C] Di Mu, Mo Sha, Kyoung-Don Kang, and Hyungdae Yi, Energy-Efficient Radio Selection and Data Partitioning for Real-Time Data Transfer, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), May 2019, acceptance ratio: 20/79 = 25.3% (Best Paper Award Nominee). [C] Junyang Shi and Mo Sha, Parameter Self-Configuration and Self-Adaptation in Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Computer Communications (INFOCOM), April 2019, acceptance ratio: 288/1464 = 19.7%. [C] Xiaonan Zhang, Pei Huang, Linke Guo, and Mo Sha, Incentivizing Relay Participation for Securing IoT Communication, IEEE International Conference on Computer Communications (INFOCOM), April 2019, acceptance ratio: 288/1464 = 19.7%. [C] Xia Cheng, Junyang Shi, and Mo Sha, Cracking the Channel Hopping Sequences in IEEE 802.15.4e-Based Industrial TSCH Networks, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), April 2019, acceptance ratio: 20/71 = 28.1%. [C] Zhicheng Yang, Parth H Pathak, Mo Sha, Tingting Zhu, Junai Gan, Pengfei Hu, and Prasant Mohapatra, On The Feasibility of Estimating Soluble Sugar Content using Millimeter-wave, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), April 2019, acceptance ratio: 20/71 = 28.1%. 2018 [C] Zhicheng Yang, Parth H Pathak, Jianli Pan, Mo Sha, and Prasant Mohapatra, Sense and Deploy: Blockage-aware Deployment of Reliable 60 GHz mmWave WLANs, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), October 2018, acceptance ratio: 42/145 = 28.9%. [C] Junyang Shi, Mo Sha, and Zhicheng Yang, DiGS: Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Distributed Computing Systems (ICDCS) research tracks, July 2018, acceptance ratio: 78/378 = 20.6%. [C] Chengjie Wu, Dolvara Gunatilaka, Mo Sha, and Chenyang Lu, Real-Time Wireless Routing for Industrial Internet of Things, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), April 2018, acceptance ratio: (21+4)/89= 28.0%. 2017 [J] Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang, and Mo Sha, Real-Time Information Derivation from Big Sensor Data via Edge Computing, Big Data and Cognitive Computing, Special Issue on Cognitive Services Integrating with Big Data, Clouds and IoT, Vol. 1, Issue 5, pp. 1-24, October, 2017. [C] Di Mu, Yunpeng Ge, Mo Sha, Steve Paul, Niranjan Ravichandra, and Souma Chowdhury, Adaptive Radio and Transmission Power Selection for Internet of Things, ACM/IEEE International Symposium on Quality of Service (IWQoS), June 2017, acceptance ratio: 29/146 = 19.9%. [J] Mo Sha, Dolvara Gunatilaka, Chengjie Wu, and Chenyang Lu, Empirical Study and Enhancements of Industrial Wireless Sensor-Actuator Network Protocols, IEEE Internet of Things Journal, Vol. 4, Issue 3, pp. 696-704, June 2017. [C] Dolvara Gunatilaka, Mo Sha, and Chenyang Lu, Impacts of Channel Selection on Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Computer Communications (INFOCOM), May 2017, acceptance ratio: 292/1395 = 20.9%. 2016 [J] Chenyang Lu, Abusayeed Saifullah, Bo Li, Mo Sha, Humberto Gonzalez, Dolvara Gunatilaka, Chengjie Wu, Lanshun Nie, and Yixin Chen, Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems, Proceedings of the IEEE, Special Issue on Industrial Cyber Physical Systems, Vol. 104, Issue 5, pp. 1013-1024, May 2016. [C] Chengjie Wu, Dolvara Gunatilaka, Abusayeed Saifullah, Mo Sha, Paras Babu Tiwari, Chenyang Lu, and Yixin Chen, Maximizing Network Lifetime of WirelessHART Networks under Graph Routing, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), April 2016, acceptance ratio: 11/53= 20.8%. 2015 [C] Abusayeed Saifullah, Dolvara Gunatilaka, Paras Tiwari, Mo Sha, Chenyang Lu, Bo Li, Chengjie Wu, and Yixin Chen, Schedulability Analysis under Graph Routing in WirelessHART Networks, IEEE Real-Time Systems Symposium (RTSS), December 2015, acceptance ratio: 34/151= 22.5%. [J] Jianli Pan, Raj Jain, Subharthi Paul, Tam Vu, Abusayeed Saifulla, and Mo Sha, An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments, IEEE Internet of Things Journal, Vol. 2, Issue 6, pp. 527-537, December 2015. [J] Anna Leavey, Yong Fu, Mo Sha, Andrew Kutta, Chenyang Lu, Weining Wang, Bill Drake, Yixin Chen, and Pratim Biswas, Air Quality Metrics and Wireless Technology to Maximize the Energy Efficiency of HVAC in a Working Auditorium, Building and Environment, Vol. 85, pp. 287-297, February 2015. [C] Mo Sha, Dolvara Gunatilaka, Chengjie Wu, and Chenyang Lu, Implementation and Experimentation of Industrial Wireless Sensor-Actuator Network Protocols, European Conference on Wireless Sensor Networks (EWSN), February 2015, acceptance ratio: (14+9)/85 = 27.0%. 2014 [C] Yong Fu, Mo Sha, Chengjie Wu, Andrew Kutta, Chenyang Lu, Humberto Gonzalez, Anna Leavey, Weining Wang, Bill Drake, Yixin Chen, and Pratim Biswas, Thermal Modeling for a HVAC Controlled Real-life Auditorium, IEEE International Conference on Distributed Computing Systems (ICDCS), June 2014, acceptance ratio: 66/507 = 13.0%. [C] Chengjie Wu, Mo Sha, Dolvara Gunatilaka, Abusayeed Saifullah, Chenyang Lu, and Yixin Chen, Analysis of EDF Scheduling for Wireless Sensor-Actuator Networks, ACM/IEEE International Symposium on Quality of Service (IWQoS), May 2014, acceptance ratio: 24/101 = 23.8%. 2013 [C] Mo Sha, Rahav Dor, Gregory Hackmann, Chenyang Lu, Tae-Suk Kim, and Taerim Park, Self-Adapting MAC Layer for Wireless Sensor Networks, IEEE Real-Time Systems Symposium (RTSS), December 2013, acceptance ratio: 36/160 = 22.5%. [C] Mo Sha, Gregory Hackmann, and Chenyang Lu, Energy-Efficient Low Power Listening for Wireless Sensor Networks in Noisy Environments, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 2013, acceptance ratio: 24/115 = 20.9%. [J] Mo Sha, Gregory Hackmann, and Chenyang Lu, Real-World Empirical Studies on Multi-Channel Reliability and Spectrum Usage for Home-Area Sensor Networks, IEEE Transactions on Network and Service Management, Special Issue on Quality-of-Service, Vol. 10, Issue 1, pp. 56-69, March 2013. 2012 [C] Tae-Suk Kim, Taerim Park, Mo Sha, and Chenyang Lu, Toward MAC Protocol Service over the Air, IEEE Global Communications Conference (GLOBECOM), December 2012. [C] Yong Fu, Mo Sha, Gregory Hackmann, and Chenyang Lu, Practical Control of Transmission Power for Wireless Sensor Networks, IEEE International Conference on Network Protocols (ICNP), October 2012, acceptance ratio: 30/131 = 22.9%. 2011 [C] Mo Sha, Gregory Hackmann, and Chenyang Lu, Multi-Channel Reliability and Spectrum Usage in Real Homes: Empirical Studies for Home-Area Sensor Networks, ACM/IEEE International Symposium on Quality of Service (IWQoS), June 2011, acceptance ratio: 23/80 = 28.8%. [C] Mo Sha, Gregory Hackmann, and Chenyang Lu, ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), April 2011, acceptance ratio: 29/139 = 20.9%. [J] Haiyan Cai, Xiaohua Jia, and Mo Sha, Critical Sensor Density for Partial Connectivity in Large Area Wireless Sensor Networks, ACM Transactions on Sensor Networks, Vol. 7, Issue 4, pp. 35:1-35:23, February 2011. 2010 [C] Shucheng Liu, Guoliang Xing, Hongwei Zhang, Jianping Wang, Jun Huang, Mo Sha, and Liusheng Huang, Passive Interference Measurement in Wireless Sensor Networks, IEEE International Conference on Network Protocols (ICNP), October 2010, acceptance ratio: 31/170 = 18.2%. [C] Shucheng Liu, Mo Sha, and Liusheng Huang, ORAS: Opportunistic Routing with Asynchronous Sleep, International Conference on Future Computer and Communication (ICFCC), May 2010. [C] Haiyan Cai, Xiaohua Jia, and Mo Sha, Critical Sensor Density for Partial Connectivity in Large Area Wireless Sensor Networks, IEEE International Conference on Computer Communications (INFOCOM), March 2010, acceptance ratio: (276+106)/1575 = 24.2%. 2009 [C] Guoliang Xing, Mo Sha, Jun Huang, Gang Zhou, Xiaorui Wang, and Shucheng Liu, Multi-channel Interference Measurement and Modeling in Low-Power Wireless Networks, IEEE Real-Time Systems Symposium (RTSS), December 2009, acceptance ratio: 44/197 = 22.3%. [C] Mo Sha, Guoliang Xing, Gang Zhou, Shucheng Liu, and Xiaorui Wang, C-MAC: Model-driven Concurrent Medium Access Control for Wireless Sensor Networks, IEEE International Conference on Computer Communications (INFOCOM), April 2009, acceptance ratio: 282/1435 = 19.7%. [J] Guoliang Xing, Mo Sha, Greg Hackmann, Kevin Klues, Octav Chipara, and Chenyang Lu, Towards Unified Radio Power Management for Wireless Sensor Networks, Wireless Communications and Mobile Computing, special issue on Distributed Systems of Sensors and Actuators, Vol. 9, Issue 3, pp. 313-323, March 2009. 2008 [J] Yuebin Bai, Shujuan Liu, Mo Sha, Yang Lu, and Cong Xu, An Energy Optimization Approach Based on Cross-layer for Wireless Sensor Networks, Journal of Communications, special issue on Selected Papers on Communications of the International Symposium on Electronic Commerce and Security, Vol. 3, Issue 6, pp. 27-34, November 2008. [C] Guoliang Xing, Weijia Jia, Yufei Du, Posco Tso, Mo Sha, and Xue Liu, Toward Ubiquitous Video-based Cyber-Physical Systems, IEEE International Conference on Systems, Man, and Cybernetics (SMC) workshop on Engineering Cyber-Physical Ecosystems, October 2008. [C] Shujuan Liu, Yuebin Bai, Mo Sha, Qingyuan Deng, and Depei Qian, CLEEP: A Novel Cross-Layer Energy-Efficient Protocol for Wireless Sensor Networks, IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), October 2008. [C] Xing Yang, Xiang Li, Yipeng Ji, and Mo Sha, CROWNBench: A Grid Performance Testing System Using Customizable Synthetic Workload, Asia Pacific Web Conference (APWeb), April 2008. 2007 [C] Mo Sha, Ming Chen, Yuebin Bai, Boliang Chen, and Xiaocong Wang, A Prototype for Active Service System, Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST), November 2007. |
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