2025

    2024

    1. C.-H. Chang, C.-S. Shih, and S.-H. Hung, “Enhancing Security with Virtualization and Real-time Communications for Applications on Autonomous Vehicles,” in The 8th International Symposium on Mobile Internet Security (MobiSec), 2024, p. –.
    2. Y.-H. Lin et al., “Real-time 3D Point Cloud Reconstruction for Monocular Endoscope,” in The 2024 International Conference on Research in Adaptive and Convergent Systems, 2024, p. –.
    3. T.-W. Chang, J. Chou, and C.-S. D. Shih, “CIM-Friendly Deep Learning Method for 3D Reconstruction Using Structure Light,” in The 2024 International Conference on Research in Adaptive and Convergent Systems, 2024, p. –.
    4. X.-Y. Liu, “Real-Time 3D Registration and Fusion with SRAM-based Analog In-Memory Computing,” in The 39th ACM/SIGAPP Symposium On Applied Computing, 2024, p. –.

    2023

    1. M.-Y. Ho et al., “Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning - PathoOpenGait,” IEEE Journal of Biomedical and Health Informatics, pp. 1–12, Dec. 2023.
    2. C. Shih, S.-H. Hung, C. Chen Chingwen abd Perng, M. Kao, C.-S. Shih, and T.-W. Kuo, “A Heterogeneous Computing Framework for Accelerating Fully Homomorphic Encryption,” in The 7th International Symposium on Mobile Internet Security (MobiSec), 2023, p. –.
    3. Y.-C. Liao, C.-S. Shih, and C.-T. Tan, “Deep Learning Based End-to-End Specular Reflection Removal for Medical Endoscopic Images,” in International Conference on Research in Adaptive and Convergent Systems (RACS), 2023, pp. 168–176.
      Best Paper Runner-Up Award
    4. Y.-H. Kuo, C.-S. Shih, H.-J. Lin, and S.-H. Hung, “Self-supervised multi-LiDAR object view generation using single LiDAR,” in 2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2023, p. –.
      Best Paper Award candidates
    5. L. Yu-Shian, C.-S. Shih, K. J. Cheng, and C. K. Chang, “SLResNet: Neural-Network-Based End-to-End Structure Light 3D Reconstruction for Endoscope,” in Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023, pp. 1179–1188.

    2022

    1. C.-S. Shih, H.-J. Lin, Y. Yuan, Y.-H. Kuo, and W.-Y. Liang, “Scalable and Bounded-time Decisions on Edge Device Network using Eclipse Zenoh,” in 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2022, pp. 170–179.
    2. H.-I. Huang, C.-S. Shih, and Z.-L. Yang, “Automated Video Editing Based on Learned Styles Using LSTM-GAN,” in Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, New York, NY, USA, 2022, pp. 73–80.
    3. J.-J. Chou et al., “CIM-Based Smart Pose Detection Sensors,” Sensors, vol. 22, no. 9, 2022.
    4. M.-G. Lin et al., “D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, pp. 1–1, 2022.

    2021

    1. W.-Y. Hong and C.-S. Shih, “Superpixel Tracking: Configurable Polynomial-Time Semantic Segmentation for Endoscope Video,” in The 12th International Conference on Information Processing in Computer-Assisted Interventions, 2021, p. –.
    2. W.-Y. Hong, C.-L. Kao, Y.-H. Kuo, J.-R. Wang, W.-L. Chang, and C.-S. Shih, “CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80,” in The 12th International Conference on Information Processing in Computer-Assisted Interventions, 2021, p. –.
    3. T.-J. Hsieh, C.-S. Shih, C.-W. Lin, C.-W. Chen, and P.-K. Tsung, “Trajectory Prediction at Unsignalized Intersections using Social Conditional Generative Adversarial Network,” in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 844–851.
    4. T.-Y. Chen, H.-J. Lin, C.-S. Shih, K.-T. Kuo, Q. Liu, and R. H. M. Chan, “Prediction of Human Intention in Vehicles, Pedestrians and Bicyclists Interactions,” in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 64–69.
    5. S.-L. Wang et al., “Deep-Learning-Based Intrusion Detection for Autonomous Vehicle-Following Systems,” in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 865–872.

    2020

    1. W.-Y. Hong, C.-L. Kao, Y.-H. Kuo, J.-R. Wang, W.-L. Chang, and C.-S. Shih, “CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80.” https://arxiv.org/abs/2012.12453 [cs.CV], Dec-2020.
    2. C.-S. Chiang and C.-S. Shih, “Using Synthesized Data to Train Deep Neural Net with Few Data ,” in ACM 2020 International Conference on Research in Adaptive and Convergent Systems, GwangJu, Korea, 2020, pp. 19–25.
    3. H.-Y. Chen and C.-S. Shih, “An Extrinsic Depth Camera Calibration Method for Narrow Field of View Color Camera,” in ACM 2020 International Conference on Research in Adaptive and Convergent Systems, GwangJu, Korea, 2020, pp. 247–254.
    4. E.-T. Yen, and Jyun-Jhe Chou, C.-S. Shih, C.-W. Chen, and P.-K. TSUNG, “Proactive Car-Following Using Deep-Reinforcement Learning,” in The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Virtual Conference, 2020, pp. 1–6.
    5. J.-J. Chou and C.-S. Shih, “Turning Over Detecting Using Super-Resolution Thermal Image,” in The 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, Virtual Conference, 2020, pp. 1–2.
    6. C.-S. Shih, Y.-T. Wang, and J.-J. Chou, “Multiple-Image Super-Resolution for Networked Extremely Low-Resolution Thermal Sensor Array,” in Proceedings of the 2020 IEEE Second Workshop on Machine Learning on Edge in Sensor Systems, New York, NY, USA, 2020, pp. 1–6.
    7. M. Allan et al., “2018 Robotic Scene Segmentation Challenge.” 2020.

    2019

    1. C.-S. Shih, W.-Y. Hsieh, and C.-L. Kao, “Traceability for Vehicular Network Real-Time Messaging Based on Blockchain Technology,” Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), vol. 10, no. 4, pp. 1–21, Dec. 2019.
    2. Yu Meng, Kwei-Jay Lin, Bo-Lung Tsai, Chi-Sheng Shih, and Bin Zhang, “PicPose: Using Picture Posing for Localization Service on IoT Devices,” in 12th IEEE Conference on Service-Oriented Computing and Applications, SOCA, TaiChung, Taiwan, 2019, p. –.
    3. C.-S. Shih, P.-W. HUANG, E.-T. YEN, and P.-K. TSUNG, “Vehicle Speed Prediction with RNN and Attention Model under Multiple Scenarios,” in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, p. –.
    4. C.-S. Shih and W.-Y. Hsieh, “Traceability for Vehicular Network Real-Time Messaging Based on Blockchain Technology,” in The 4th International Symposium on Mobile Internet Security (MobiSec), 2019, p. –.
      Best Paper Award
    5. C.-S. Shih and K.-W. Yang, “Design and Implementation of Distributed Traceability System for Smart Factories based on Blockchain Technology,” in International Conference on Research in Adaptive and Convergent Systems (RACS), 2019, pp. 181–188.
    6. N. Reijers and C.-S. Shih, “Improved Ahead-of-time Compilation of Stack-based JVM Bytecode on Resource-constrained Devices,” ACM Trans. Sen. Netw., vol. 15, no. 3, pp. 34:1–34:44, Aug. 2019.
    7. K.-L. Lin, C.-S. Shih, and J.-R. Li, “From Rail to Railless: Retrofitting Servicing Buses for Safe Autonomous Public Transportation,” in International Conference on Embedded Software and Systems, 2019, pp. 1–8.
    8. J.-J. Chou and C.-S. Shih, “IoT Sensing Networks for Gait Velocity Measurement,” International Journal of Applied Mathematics and Computer Science (AMCS), vol. 29, no. 2, pp. 245–259, 2019.
    9. N. Reijers, J. Ellul, and C.-S. Shih, “Making Sensor Node Virtual Machines Work for Real-World Applications,” Embedded Systems Letters, vol. 11, no. 1, pp. 13–16, 2019.
    10. H.-A. Chiang, C.-S. Chiang, and C.-S. Shih, “Using Collaged Data Augmentation to Train Deep Neural Net with Few Data,” in International Conference on Medical Imaging with Deep Learnings, 2019.

    2018

    1. Y. Meng, K.-J. Lin, B. Peng, B.-L. Tsai, and C.-S. Shih, “ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications,” in 11th IEEE Conference on Service-Oriented Computing and Applications, SOCA, Paris, France, 2018, pp. 105–112.
    2. W.-K. Fu, K.-L. Lin, and C.-S. Shih, “Key-Frame Selection for Multi-Robot Simultaneous Localization and Tracking in Robot Soccer Field,” in Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), New York, NY, USA, 2018, pp. 109–116.
    3. C.-S. Shih, C.-M. Yang, W.-L. Su, and P.-K. Tsung, “OSAMIC: Online Schedulability Analysis of Real-time Mode Change on Heterogeneous Multi-core Platforms,” in Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems (RACS), New York, NY, USA, 2018, pp. 205–212.
    4. N. Reijers and C.-S. Shih, “CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of-Things Devices,” in Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, New York, NY, USA, 2018, pp. 250–263.
    5. J.-J. Chou and C.-S. Shih, “Parameterized Data Reduction Framework of Thermal Sensing for Gait Velocity Measurements,” in The 24th IEEE International Confernece on Embedded and Real-Time Computing Systems and Applications, Hakodate, Japan, 2018, pp. 76–84.
    6. C.-S. Shih, J.-J. Chou, and K.-J. Lin, “WuKong: Secure Run-Time environment and data-driven IoT applications for Smart Cities and Smart Buildings,” Journal of Internet Services and Information Security (JISIS), vol. 2, no. 2, pp. 1–17, May 2018.
    7. Z. Huang, K.-J. Lin, B.-L. Tsai, S. Yan, and C.-S. Shih, “Building edge intelligence for online activity recognition in service-oriented IoT systems,” Future Generation Computer Systems, pp. 557–567, 2018.
    8. N. Reijers, J. Ellul, and C. S. Shih, “Making sensor node virtual machines work for real-world applications,” IEEE Embedded Systems Letters, pp. 13–16, 2018.

    2017

    1. C.-S. Shih, J.-J. Chou, W.-D. Wang, and K.-C. Huang, “Measuring Gait Speed Using Temporal and Location-Aware Sensing Services in Smart Homes,” in 10th IEEE Conference on Service-Oriented Computing and Applications, SOCA, Kanazawa, Japan, 2017, pp. 173–180.
    2. C.-S. Shih et al., “Collaborative Sensing for Privacy Preserving Gait Tracking Using IoT Middleware,” in Proceedings of the International Conference on Research in Adaptive and Convergent Systems, (RACS), Krakow, Poland, 2017, pp. 152–159.
    3. C.-S. Shih and C.-M. Yang, “Schedulability Analysis of Mode Change for Imprecise Computation on Multi-Core Platforms,” in Proceedings of the International Conference on Research in Adaptive and Convergent Systems, (RACS), Krakow, Poland, 2017, pp. 261–268.
    4. C.-S. Shih, C.-C. Chuang, and H.-Y. Yeh, “Federating public and private intelligent services for IoT applications,” in 13th International Wireless Communications and Mobile Computing Conference, IWCMC, Valencia, Spain, 2017, pp. 558–563.
    5. N. Reijers and C.-S. Shih, “Ahead-of-Time Compilation of Stack-Based JVM Bytecode on Resource-Constrained Devices,” in Proceedings of the International Conference on Embedded Wireless Systems and Networks, EWSN, Uppsala, Swede, 2017, pp. 84–95.
    6. N. Reijers and C.-S. Shih, “Improved Ahead-of-Time Compilation of Stack-Based JVM Bytecode on Resource-Constrained Devices,” CoRR, vol. abs/1712.05590, 2017.
    7. N. Reijers and C.-S. Shih, “Ahead-of-Time Compilation of Stack-Based JVM Bytecode on Resource-Constrained Devices,” in Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, USA, 2017, pp. 84–95.

    2016

    1. Z. Huang, K.-J. Lin, and C.-S. Shih, “Supporting Edge Intelligence in Service-Oriented Smart IoT Applications,” in IEEE International Conference on Computer and Information Technology, CIT, Nadi, Fiji, 2016, pp. 492–499.
      Best Paper Award
    2. C.-S. Shih, P.-C. Hsiu, Y.-H. Chang, and T.-W. Kuo, “Framework designs to enhance reliable and timely services of disaster management systems,” in Proceedings of the 35th International Conference on Computer-Aided Design, ICCAD, Austin, TX, USA, 2016, p. 107.
    3. C.-S. Shih, C. H. Li, and J.-J. Chou, “Distributed QoS Aware Meta-Routing for IoT/CPS,” in 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA , Nagoya, Japan, 2016, pp. 66–70.
    4. C.-S. Shih and Z.-Y. Yeh, “Goodput Optimization for Multiple-Path IoT Robust Messaging,” in Proceedings of the International Conference on Research in Adaptive and Convergent Systems, (RACS), Odense, Denmark, 2016, pp. 109–116.
    5. Y.-C. Zeng, C.-C. Chuang, C.-S. Shih, and W.-T. Chang, “Diverse data mapping for sleep status estimation: from intelligent band to passive infrared motion sensors,” in Consumer Electronics-Taiwan (ICCE-TW), 2016 IEEE International Conference on, 2016, pp. 1–2.
    6. C.-S. Shih, J.-J. Chou, N. Reijers, and T.-W. Kuo, “Designing CPS/IoT applications for smart buildings and cities,” IET Cyper-Phys. Syst.: Theory & Appl., vol. 1, no. 1, pp. 3–12, 2016.
    7. C. Shih, J. Chou, N. Reijers, and T. Kuo, “Designing CPS/IoT applications for smart buildings and cities,” IET Cyber-Physical Systems: Theory Applications, vol. 1, no. 1, pp. 3–12, 2016.

    2015

    1. C.-S. Shih, C.-M. Yang, and Y.-C. Cheng, “Data Alignment for Multiple Temporal Data Streams without Synchronized Clocks on IoT Fusion Gateway,” in IEEE International Conference on Data Science and Data Intensive Systems, DSDIS , Sydney, Australia, 2015, pp. 667–674.
    2. S. Zhou, K.-J. Lin, and C.-S. Shih, “Device clustering for fault monitoring in Internet of Things systems,” in 2nd IEEE World Forum on Internet of Things WF-IoT, Milan, Italy, 2015, pp. 228–233.
    3. C.-S. Shih and G.-F. Wu, “Distributed meta-routing over heterogeneous networks for M2M/IoT systems,” in Proceedings of the Conference on research in adaptive and convergent systems, (RACS) , Prague, Czech Republic, 2015, pp. 443–450.
    4. S. Zhou, K.-J. Lin, J. Na, C.-C. Chuang, and C.-S. Shih, “Supporting Service Adaptation in Fault Tolerant Internet of Things,” in 8th IEEE International Conference on Service-Oriented Computing and Applications, SOCA , Rome, Italy, 2015, pp. 65–72.
    5. C.-S. Shih, Y.-H. Wang, C.-M. Yang, and S.-H. Chao, “Elastic Computation Middleware for Interactive Wearable Devices in Cyber-Physical Systems,” in IEEE 3rd International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA, Kowloon, Hong Kong, China, 2015, pp. 1–6.
    6. C.-S. Shih, Y.-H. Wang, and N. Chang, “Multi-tier Elastic Computation Framework for Mobile Cloud Computing,” in 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud, San Francisco, CA, USA, , 2015, pp. 223–232.
    7. C.-S. Shih, H.-Y. Chen, L.-Y. Chen, and L.-J. CHEN, “Landmark-based Service Recovery For Distributed Pub/sub Services On Disaster Management,” International Journal of Safety and Security Engineering, vol. 5, no. 1, pp. 13–28, 2015.
    8. Z. Huang et al., “Context and user behavior aware intelligent home control using WuKong middleware,” in Consumer Electronics-Taiwan (ICCE-TW), 2015 IEEE International Conference on, 2015, pp. 302–303.

    2014

    1. C.-S. Shih, K.-J. Lin, J.-J. Chou, and C.-C. Chuang, “Autonomous Service Management for Location and Context Aware Service,” in 7th IEEE International Conference on Service-Oriented Computing and Applications, SOCA, Matsue, Japan, 2014, pp. 246–251.
    2. K.-C. Huang, Y.-C. Wu, C.-W. Chang, T.-W. Kuo, C.-S. Shih, and Q. Deng, “Real-time process synchronization for systems with accelerators,” in Proceedings of the Conference on Research in Adaptive and Convergent Systems, (RACS), Towson, Maryland, USA, 2014, pp. 350–355.
    3. C.-S. Shih and G.-F. Wu, “Meta-routing over heterogeneous networks in M2M systems,” in Proceedings of the Conference on Research in Adaptive and Convergent Systems, (RACS), Towson, Maryland, USA, 2014, pp. 166–173.
    4. C.-S. Shih et al., “Out-of-Box Device Management for Large Scale Cyber-Physical Systems,” in IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, and IEEE Cyber, Physical and Social Computing, iThings/GreenCom/CPSCom, Taipei, Taiwan, 2014, pp. 402–407.
    5. S.-Y. Yu, C.-S. Shih, J. Y.-jen Hsu, Z. Huang, and K.-J. Lin, “QoS Oriented Sensor Selection in IoT System,” in IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, and IEEE Cyber, Physical and Social Computing, iThings/GreenCom/CPSCom , Taipei, Taiwan, 2014, pp. 201–206.
    6. C.-S. Shih, H.-Y. Chen, and Z.-Y. Yeh, “Service Recovery for Large Scale Distributed Publish and Subscription Services for Cyber-Physical Systems and Disaster Management,” in IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA, Hong Kong, China, 2014, pp. 87–93.
    7. C.-S. Shih, S.-M. Wang, J. Chen, and Y.-H. Wang, “Workload migration framework for streaming applications on smartphones,” in IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications, Chongqing, China, 2014, pp. 1–8.
    8. Y.-C. Wu, C.-W. Chang, T.-W. Kuo, and C.-S. Shih, “Accelerator-Aware Task Synchronization for Real-Time Systems,” in 17th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC, Reno, NV, USA, 2014, pp. 206–212.
    9. L.-Y. Chen, H.-Y. Chen, C.-S. Shih, L.-J. Chen, K. C.-J. Lin, and W.-H. Chung, “Runtime service recovery for open information gateway,” in Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM, Sydney, Australia, 2014, pp. 1–6.
    10. P. Su, J. Y. Hsu, K.-J. Lin, Y.-C. Wang, and C.-S. Shih, “Decentralized Fault Tolerance Mechanism for Intelligent IoT/M2M Middleware,” in IEEE World Forum for Internet of Things, Seoul , Korea, 2014.
    11. C.-S. Shih, J. Chen, Y.-H. Wang, and N. Chang, “Heterogeneous and Elastic Computation Framework for Mobile Cloud Computing,” International Journal of Software Engineering and Knowledge Engineering, vol. 24, no. 7, pp. 1013–1038, 2014.
    12. D. Meil, F. Glinka, and S. Gorlatch, “Using Mobile Cloud Computing for Real-Time Online Applications,” in IEEE Mobile Cloud, 2014, pp. 48–56.
    13. C.-S. Shih, J. Chen, Y.-H. Wang, and N. Chang, “Imprecise Computation Over the Cloud,” in IEEE Mobile Cloud, Oxfoxd, GB, 2014.

    2013

    1. C.-S. Shih and T.-K. Trieu, “Shadow phone: Context aware device replication for disaster management,” in Proceedings of the Research in Adaptive and Convergent Systems on - RACS, New York, New York, USA, 2013, pp. 446–453.
    2. Y.-Z. Ou, C. M. Huang, C. T. Hu, J. W.-S. Liu, E. T.-H. Chu, and C.-S. Shih, “Responsive alert delivery over IP network,” in 1st IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA, Taipei, Taiwan, 2013, pp. 19–25.
    3. C.-T. Chu and C.-S. Shih, “CPSSim: Simulation framework for large-scale Cyber-Physical Systems,” in IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), 2013, pp. 44–51.
    4. Y. Z. Ou, C. M. Huang, C. T. Hu, J. W. S. Liu, E. T. H. Chu, and C.-S. Shih, “An Asynchronous Message Delivery Service for iGaDs (Intelligent Guards Against Disasters),” in Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Taichung, Taiwan, 2013, pp. 506–511.
    5. C.-S. Shih and H.-Y. Lai, “nuKernel: MicroKernel for multi-core DSP SoCs with load sharing and priority interrupts,” in Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC, Coimbra, Portuga, 2013, pp. 1525–1532.
    6. C.-S. Shih, J.-W. Wei, S.-H. Hung, J. Chen, and N. Chang, “Fairness scheduler for virtual machines on heterogonous multi-core platforms,” ACM SIGAPP Applied Computing Review, vol. 13, no. 1, pp. 28–40, Mar. 2013.
    7. C.-S. Shih, Y. K. Chen, J. Chen, and N. Chang, “Virtual Cloud Core: OpenCL Workload Sharing Framework for Connected Devices,” in SOSE ’13 Proceedings of the 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering, San Francisco, CA, USA, 2013, pp. 486–493.
    8. N. Reijers, K. J. Lin, Y. C. Wang, C.-S. Shih, and J. Y. Hsu, “Design of An Intelligent Middleware for Flexible Sensor Configuration in M2M Systems,” in 2nd International Conference on Sensor Networks (2013 Sensornets), Barcelona, Spain, 2013, pp. 13–22.
    9. J. W.-S. Liu, C.-S. Shih, and E. T.-H. Chu, “Cyberphysical Elements of Disaster-Prepared Smart Environments,” IEEE Computer, vol. 46, no. 2, pp. 69–75, 2013.
    10. K.-jay Lin, N. Reijers, Y.-chung Wang, C.-sheng Shih, and J. Y. Hsu, “Building Smart M2M Applications Using the WuKong Profile Framework,” in IEEE GreenCom-iThings-CPSCom, Beijing, China, 2013, pp. 1175–1180.
    11. C.-S. Shih, H.-Y. Chen, and L. J. Chen, “Landmark-based Self-Healing Service Recovery for Distributed Pub / Sub Services on Disaster Management and M2M Systems,” in Disaster Management, A Coruña, Spain, 2013.
    12. J. Liu, C.-S. Shih, and E. Chu, “Cyber-Physical Elements of Disaster Prepared Smart Environment,” Computer, vol. 46, no. 2, pp. 69–75, 2013.

    2012

    1. C.-S. Shih and T.-K. Trieu, “Shadow phone: Context aware device replication for disaster management,” in Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), Taipei, Taiwan, 2012, pp. 1–5.
    2. S.-H. Hung, C.-S. Shih, T.-W. Kuo, C.-H. Tu, and C.-W. Chang, in Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES+ISSS ’12, New York, New York, USA, 2012, pp. 23–32.
    3. W. P. Liao, Y.-Z. Ou, E. T.-H. Chu, C.-S. Shih, and J. W.-S. Liu, “Ubiquitous Smart Devices and Applications for Disaster Preparedness,” in 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, UIC/ATC, Fukuoka, Japan, 2012, pp. 764–770.
    4. T.-Y. Chen, Y.-C. Huang, T.-S. Chou, C.-S. Shih, and J. W. S. Liu, “Model-Based Development of User-Centric Automation and Assistive Devices/Systems,” IEEE Systems Journal, vol. 6, no. 3, pp. 388–400, Sep. 2012.
    5. C.-S. Shih, L.-J. Chen, C.-J. Lin, and W.-H. Chung, “Open information gateway for disaster management,” in IEEE International Conference on Communications (ICC), 2012, pp. 6348–6352.
    6. S.-H. Hung, T.-W. Kuo, C.-S. Shih, and C.-H. Tu, “System-wide profiling and optimization with virtual machines,” in 17th Asia and South Pacific Design Automation Conference, Sydney, NSW, 2012, pp. 395–400.
    7. T.-Y. Chen, Y. C. Huang, T.-S. Chou, C.-S. Shih, and J. W.-S. Liu, “Model-Based Development of User-Centric Automation and Assistive Devices/Systems,” IEEE Systems Journal, vol. 6, no. 3, pp. 388–400, 2012.
    8. C.-S. Shih, J.-W. Wei, S.-H. Hung, N. Chang, and J. Chen, “A VM-aware Fairness Scheduler on Heterogonous Multi-Core Platforms,” in Research in Applied Computation Symposium (RACS), San Antonio, TX, USA, 2012, pp. 409–418.
    9. C.-S. Shih and H.-Y. Chen, “Distributed Service Recovery for Real-Time Pub/Sub Services on Disaster Management,” in The 15th International Symposium on Wireless Personal Multimedia Communication, Taipei, Taiwan, 2012.
    10. S.-H. Hung, C.-S. Shih, J.-P. Shieh, C.-P. Lee, and Y.-H. Huang, “Executing mobile applications on the cloud: Framework and issues,” Computers and Mathematics with Applications, vol. 63, no. 2, pp. 573–587, 2012.

    2011

    1. N. Reijers, Y.-C. Wang, C.-S. Shih, J. Y. Hsu, and K.-J. Lin, “Building intelligent middleware for large scale CPS systems,” in IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2011, pp. 1–4.
    2. W.-C. Chen and C.-S. Shih, “ERWF: Embedded Real-Time Workflow Engine for User-Centric Cyber-Physical Systems,” in IEEE 17th International Conference on Parallel and Distributed Systems, 2011, pp. 713–720.
    3. L.-J. Chen, C.-W. Li, Y.-T. Huang, and C.-S. Shih, “A rapid method for detecting geographically disconnected areas after disasters,” in IEEE International Conference on Technologies for Homeland Security (HST), 2011, pp. 501–506.
    4. K.-C. Chuang, C.-S. Shih, and S.-H. Hung, “User behavior augmented software testing for user-centered GUI,” in Proceedings of the ACM Symposium on Research in Applied Computation - RACS ’11, New York, New York, USA, 2011, pp. 200–208.
      Best Paper Award
    5. S.-H. Hung, P.-H. Chiu, and C.-S. Shih, “Building a scalable and portable message-passing library for embedded multicore systems,” in Research in Applied Computation Symposium, (RACS) ’11, Miami, FL, USA, 2011, pp. 31–37.
    6. C.-K. Hung et al., “Seamless on-line service upgrade for telecommunication web-services,” in 13th Asia-Pacific Network Operations and Management Symposium, APNOMS , Taipei, Taiwan, 2011, pp. 1–4.
    7. C.-Y. Wang, P. Lin, C.-S. Shih, H.-L. Fu, and J.-Y. Jeng, “A middleware approach for migration of legacy telecom Operational Support Systems into NGOSS-compliant,” in 13th Asia-Pacific Network Operations and Management Symposium, APNOMS , Taipei, Taiwan, 2011, pp. 1–7.
    8. S.-H. Hung, C.-S. Shih, J.-P. Shieh, C.-P. Lee, and Y.-H. Huang, “An Online Migration Environment for Executing Mobile Applications on the Cloud,” in Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Fifth International Conference on, Seoul , Korea, 2011, pp. 20–27.
    9. Y.-S. Chiu, C.-S. Shih, and S.-H. Hung, “Pipeline schedule synthesis for real-time streaming tasks with inter/intra-instance precedence constraints,” in Design, Automation and Test in Europe, DATE, Grenoble, France, 2011, pp. 1321–1326.
    10. P.-H. Tsai, T.-Y. Chen, C.-R. Yu, C.-S. Shih, and J. W. S. Liu, “Smart Medication Dispenser: Design, Architecture and Implementation,” IEEE Systems Journal, vol. 5, no. 1, pp. 99–110, Mar. 2011.
    11. P.-H. Tsai, C.-S. Shih, and J. W.-S. Liu, “Mobile Reminder for Flexible and Safe Medication Schedule for Home Users,” in Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments - 14th International Conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part III, 2011, pp. 107–116.
    12. Y. C. Huang, Y. C. Wang, W.-C. Chen, C.-S. Shih, and J. W. S. Liu, “EMWF: A Middleware for Flexible Automation and Assistive Devices,” in Software Technologies for Embedded and Ubiquitous Systems, vol. 6399, S. L. Min, R. Pettit, P. Puschner, and T. Ungerer, Eds. Springer Berlin Heidelberg, 2011, pp. 191–203.

    2010

    1. H.-S. Chang, Y.-S. Liao, Y.-H. Huang, C.-K. Hung, C.-S. Shih, and P. Lin, “Seamless On-Line Service Upgrade for Transaction-Based Internet Services,” in International Symposium on Parallel and Distributed Processing with Applications, 2010, pp. 319–326.
    2. P.-L. Suei, C.-W. Kuo, R.-S. Luoh, T.-W. Kuo, C.-S. Shih, and M.-S. Liang, “Data compression and query for large scale sensor data on COTS DBMS,” in IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010), 2010, pp. 1–8.
    3. P. H. Tsai et al., “iMAT: Intelligent medication administration tools,” in The 12th IEEE International Conference on e-Health Networking, Applications and Services, 2010, pp. 308–315.
    4. Y.-S. Chen, C.-S. Shih, and T.-W. Kuo, “Processing element allocation and dynamic scheduling codesign for multi-function SoCs,” RealTime Systems, vol. 44, no. 1-3, pp. 72–104, 2010.
    5. Y.-C. Lin, C.-Y. Yang, C.-W. Chang, Y.-H. Chang, T.-W. Kuo, and C.-S. Shih, “Energy-Efficient Mapping Technique for Virtual Cores,” in 22nd Euromicro Conference on RealTime Systems, 2010, pp. 66–75.

    2009

    1. Y.-H. Lin, C.-H. Tu, C.-S. Shih, and S.-H. Hung, “Zero-Buffer Inter-core Process Communication Protocol for Heterogeneous Multi-core Platforms,” in the IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Beijing, China, 2009, vol. 0, pp. 69–78.
    2. T. S. Chou et al., “EMWF for Flexible Automation and Assistive Devices,” in 15th IEEE Real-Time and Embedded Technology and Applications Symposium, 2009, pp. 243–252.
    3. P. H. Tsai, Y. T. Chuang, T. S. Chou, J. W. S. Liu, and C.-S. Shih, “iNuC: An Intelligent Mobile Nursing Cart,” in 2nd International Conference on Biomedical Engineering and Informatics, 2009, pp. 1–6.
    4. P.-H. Tsai, J. W. S. Liu, and C.-S. Shih, “Algorithms for Scheduling Interactive Medications,” Foundations of Computing and Decision Science, vol. 34, no. 4, pp. 307–331, 2009.

    2008

    1. T.-Y. Chen, C. H. Chen, C.-S. Shih, and J. W.-S. Liu, “A simulation environment for development and evaluation of smart devices for the elderly,” in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Singapore, 2008, pp. 2285–2290.
    2. W.-H. Chang, C.-S. Shih, and J. Liu, “Component interface design for flexible user-centric automation and assistive devices,” in IEEE International Conference on Systems, Man and Cybernetics, 2008, pp. 2276–2284.
    3. C.-S. Shih, “Challenges for Multi-function SoC Scheduling and Assistive Living Services,” in Scheduling, 2008.
    4. Y.-H. Lee, J.-J. Chen, and C.-S. Shih, “Energy-Efficient Considerations on a Variable-Bitrate PCI-Express Device,” Journal of Signal Processing Systems, vol. 59, no. 1, pp. 57–69, 2008.
    5. T. Y. Chen et al., “Component Model and Architecture of Smart Devices for Elderly,” in Seventh Working IEEEIFIP Conference on Software Architecture WICSA, 2008, pp. 51–60.

    2007

    1. H.-C. Yeh, C.-S. Shih, and J. W.-S. Liu, “Integration framework for medication-use process,” in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montréal, Canada, 2007, pp. 3676–3681.
    2. L. Chia and C.-S. Shih, “Template-based Runtime Reconfiguration Scheduling for Partial Reconfigurable SoC,” in 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Daegu, Korea, 2007, pp. 542–549.
    3. G.-L. Lee and C.-S. Shih, “Clock Free Data Streams Alignment for Sensor Networks,” in 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Daegu, Korea, 2007, pp. 355–362.
    4. S.-Y. Chien et al., “3D Video Applications and Intelligent Video Surveillance Camera and its VLSI Design,” in Proceedings of the IEEE International Conference on Multimedia and Expo ICME, Beijing, China, 2007, p. 9.
    5. C.-M. Lien, Y.-S. Chen, and C.-S. Shih, “On-Chip Bus Architecture Optimization for Multi-core SoC Systems,” in Software Technologies for Embedded and Ubiquitous Systems, 5th IFIP WG 10.2 International Workshop, SEUS, Santorini Island, Greece, 2007, pp. 301–310.
    6. Y.-S. Chen, C.-S. Shih, and T.-W. Kuo, “Dynamic Task Scheduling and Processing Element Allocation for Multi-Function SoCs,” in Proceedings of the 13th IEEE Real-Time and Embedded Technology and Applications Symposium, (RTAS), Bellevue, Washington, USA, 2007, pp. 81–90.
    7. J.-J. Chen, C.-Y. Yang, T.-W. Kuo, and C.-S. Shih, “Energy-Efficient Real-Time Task Scheduling in Multiprocessor DVS Systems,” in Proceedings of the 12th Conference on Asia South Pacific Design Automation, ASP-DAC, Yokohama, Japan, 2007, pp. 342–349.
    8. H.-C. Yeh, S.-Y. Chang, Y.-S. Chu, C.-W. Chen, and C.-S. Shih, “Vehicle Information Systems Integration Framework,” J. Inf. Sci. Eng., vol. 23, no. 3, pp. 681–695, 2007.
    9. C.-S. Shih, S.-L. Tsao, Y.-C. Chung, and S.-I. Hwang, “Toward HW/SW integration: a networked embedded system course in Taiwan,” SIGBED Review, vol. 4, no. 1, pp. 36–54, 2007.

    2006

    1. P.-H. Tsai, H.-C. Yeh, C. Y. Yu, P.-C. Hsiu, C.-S. Shih, and J. W.-S. Liu, “Compliance Enforcement of Temporal and Dosage Constraints,” in Proceedings of the 27th IEEE Real-Time Systems Symposium (RTSS), Rio de Janeiro, Brazil, 2006, pp. 359–368.
    2. H.-C. Yeh, P.-C. Hsiu, C.-S. Shih, P.-H. Tsai, and J. W.-S. Liu, “APAMAT: A Prescription Algebra for Medication Authoring Tool,” in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, 2006, pp. 4284–4291.
    3. C.-F. Kuo, C.-Y. Chen, C.-S. Shih, and T.-W. Kuo, “Threat-Based Configuration Architecture for Security Gateways,” in 14th IEEE International Conference on Networks, ICON , Singapore, 2006, pp. 1–6.
    4. C.-F. Kuo, C.-S. Shih, and T.-W. Kuo, “Resource Allocation Framework for Distributed Real-Time End-To-End Tasks,” in 12th International Conference on Parallel and Distributed Systems, ICPADS , Minneapolis, Minnesota, USA, 2006, pp. 115–122.
    5. J.-J. Chen, J. Wu, and C.-S. Shih, “Approximation algorithms for scheduling real-time jobs with multiple feasible intervals,” Real-Time Systems, vol. 34, no. 3, pp. 155–172, 2006.
    6. S. Gopalakrishnan, M. Caccamo, C.-S. Shih, C.-G. Lee, and L. Sha, “Finite-horizon scheduling of radar dwells with online template construction,” Real-Time Systems, vol. 33, no. 1-3, pp. 47–75, 2006.
    7. C.-G. Lee, P.-S. Kang, C.-S. Shih, and L. Sha, “Schedulability Envelope for Real-Time Radar Dwell Scheduling,” IEEE Trans. Computers, vol. 55, no. 12, pp. 1599–1613, 2006.

    2005

    1. J.-J. Chen, T.-W. Kuo, and C.-S. Shih, “(1+epsion) approximation clock rate assignment for periodic real-time tasks on a voltage-scaling processor,” in Proceedings of 5th ACM International Conference On Embedded Software EMSOFT, Jersey City, NJ, USA, 2005, pp. 247–250.
    2. J.-J. Chen, J. Wu, C.-S. Shih, and T.-W. Kuo, “Approximation Algorithms for Scheduling Multiple Feasible Interval Jobs,” in 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, 2005, pp. 11–16.
    3. C.-S. Shih et al., “Reconfigurable Platform for Content Science Research,” in 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, 2005, pp. 481–486.
      Best Paper Award

    2004

    1. S. Gopalakrishnan, M. Caccamo, C.-S. Shih, C.-G. Lee, and L. Sha, “Finite-Horizon Scheduling of Radar Dwells with Online Template Construction,” in Proceedings of the 25th IEEE Real-Time Systems Symposium (RTSS), Lisbon, Portugal, 2004, pp. 23–33.
      Best Student Paper Award
    2. Y.-H. Tsai, J.-J. Chen, T.-W. Kuo, and C.-S. Shih, “Client and Server Mobility for WEB Applications,” in iiWAS’2004 - The sixth International Conference on Information Integrationand Web-based Applications Services, Jakarta, Indonesia, 2004.
    3. S. Giannecchini, M. Caccamo, and C.-S. Shih, “Collaborative Resource Allocation in Wireless Sensor Networks,” in Proceedings of 16th Euromicro Conference on Real-Time Systems (ECRTS 2004), Catania, Italy, 2004, pp. 35–44.
    4. C.-S. Shih and J. W.-S. Liu, “Acquiring and incorporating state-dependent timing requirements,” Requir. Eng., vol. 9, no. 2, pp. 121–131, 2004.
    5. C.-G. Lee, C.-S. Shih, and L. Sha, “Online QoS Optimization Using Service Classes in Surveillance Radar Systems,” Real-Time Systems, vol. 28, no. 1, pp. 5–37, 2004.

    2003

    1. C.-G. Lee, P.-S. Kang, C.-S. Shih, and L. Sha, “Radar Dwell Scheduling Considering Physical Characteristics of Phased Array Antenna,” in Proceedings of the 24th IEEE Real-Time Systems Symposium (RTSS), Cancun, Mexico, 2003, pp. 14–24.
    2. C.-S. Shih, S. Gopalakrishnan, P. Ganti, M. Caccamo, and L. Sha, “Scheduling Real-Time Dwells Using Tasks with Synthetic Periods,” in Proceedings of the 24th IEEE Real-Time Systems Symposium (RTSS), Cancun, Mexico, 2003, pp. 210–219.
    3. C.-S. Shih and J. W.-S. Liu, “Acquiring and Incorporating State-Dependent Timing Requirements,” in 11th IEEE International Conference on Requirements Engineering (RE 2003), Monterey Bay, CA, USA., 2003, pp. 87–94.
    4. C.-S. Shih, S. Gopalakrishnan, P. Ganti, M. Caccamo, and L. Sha, “Template-Based Real-Time Dwell Scheduling with Energy Constraint,” in Proceedings of the 9th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Toronto, Canada, 2003, p. 19.
    5. C.-S. Shih, J. W.-S. Liu, and I. K. Cheong, “Scheduling Jobs with Multiple Feasible Intervals,” in the 9th International Conference of Real-Time and Embedded Computing Systems and Applications (RTCSA), Tainan, Taiwan, 2003, pp. 53–71.

    2002

    1. C.-S. Shih and J. W.-S. Liu, “State-Dependent Deadline Scheduling,” in Proceedings of the 23rd IEEE Real-Time Systems Symposium (RTSS’02), Austin, Texas, USA, 2002, pp. 3–14.

    2001

    1. C.-G. Lee, C.-S. Shih, and L. Sha, “Service Class-Based Online QoS Management in Surveillance Radar Systems,” in Proceedings of the 22nd IEEE Real-Time Systems Symposium (RTSS), London, UK, 2001, pp. 139–148.
    2. C.-S. Shih, L. Sha, and J. W.-S. Liu, “Scheduling Tasks With Variable Deadlines,” in Proceedings of the 7th IEEE Real-Time Technology and Applications Symposium (RTAS), Taipei, Taiwan, 2001, pp. 120–122.
    3. C. Lee, C.-S. Shih, and Y.-H. Chen, “Optimizing Large Join Queries Using A Graph-Based Approach,” IEEE Trans. Knowl. Data Eng., vol. 13, no. 2, pp. 298–315, 2001.
    4. C. Lee, C.-S. Shih, and Y.-H. Chen, “A graph-theoretic model for optimizing queries involving methods,” VLDB J., vol. 9, no. 4, pp. 327–343, 2001.

    1998

    1. S.-H. Lin, C.-S. Shih, M. C. Chen, J.-M. Ho, M.-T. Ko, and Y.-M. Huang, “Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach,” in SIGIR ’98: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, Australia, 1998, pp. 241–249.

    1997

    1. C. Lee, C.-S. Shih, and Y.-H. Chen, “A Graph-Theoretic Model for Optimizing Large Join Queries,” in Database Systems for Advanced Applications ’97, Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA), Melbourne, Australia, 1997, pp. 87–96.