Institute of Information Science
著作目錄

Chang, Yuan-Hao (張原豪)

  • Che-Wei Tsao, Yuan-Hao Chang, and Tei-Wei Kuo, "Boosting NVDIMM Performance with a Light-Weight Caching Algorithm," IEEE Transactions on Very Large Scale Integration Systems (TVLSI), volume 26, number 8, pages 1518-1530, August 2018.

  • Chien-Chung Ho, Yung-Chun Li, Yuan-Hao Chang, and Yu-Ming Chang, "Achieving Defect-Free Multilevel 3D Flash Memory with One-Shot Program Design," ACM/IEEE Design Automation Conference (DAC), June 2018, (Top Conference)

  • Ping-Hsien Lin, Yu-Ming Chang, Yung-Chun Li, Wei-Chen Wang, Chien-Chung Ho, and Yuan-Hao Chang, "Achieving Fast Sanitization with Zero Live Data Copy for MLC Flash Memory," ACM/IEEE International Conference on Computer-Aided Design (ICCAD), November 2018, (Top Conference)

  • Shuo-Han Chen, Tseng-Yi Chen, Yuan-Hao Chang, Hsin-Wen Wei, and Wei-Kuan Shih, "Enabling Union Page Cache to Boost File Access Performance of NVRAM-Based Storage Devices," ACM/IEEE Design Automation Conference (DAC), June 2018, (Top Conference)

  • Shuo-Han Chen, Yuan-Hao Chang, Yu-Pei Liang, Hsin-Wen Wei, and Wei-Kuan Shih, "An Erase Efficiency Boosting Strategy for 3D Charge Trap NAND Flash," IEEE Transactions on Computers (TC), volume 67, number 9, pages 1246-1258, September 2018.

  • Chien-Chung Ho, Yung-Chun Li, Ping-Hsien Lin, Wei-Chen Wang, and Yuan-Hao Chang, "A Stride-away Programming Scheme to Resolve Crash Recoverability and Data Readability Issues of Multi-level-cell Flash Memory," IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2018.

  • Wei-Lin Wang, Tseng-Yi Chen, Yuan-Hao Chang, Hsin-Wen Wei, and Wei-Kuan Shih, "Minimizing Write Amplification to Enhance Lifetime of Large-page Flash-Memory Storage Devices," ACM/IEEE Design Automation Conference (DAC), June 2018, (Top Conference)

  • Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Chih-Ching Kuo, Ming-Chang Yang, Hsin-Wen Wei, and Wei-Kuan Shih, "wrJFS: A Write-Reduction Journaling File System for Byte-addressable NVRAM," IEEE Transactions on Computers (TC), volume 67, number 7, pages 1023-1038, July 2018.

  • Chun-Feng Wu, Ming-Chang Yang, Yuan-Hao Chang, and Tei-Wei Kuo, "Hot-Spot Suppression for Resource-Constrained Image Recognition Devices with Non-Volatile Memory," ACM/IEEE International Conference on Embedded Software (EMSOFT), September 2018, (Journal Track, Integrated with IEEE TCAD) (Top Conference)

  • Shuo-Han Chen, Yuan-Hao Chang, Tseng-Yi Chen, Yu-Ming Chang, Pei-Wen Hsiao, Hsin-Wen Wei, and Wei-Kuan Shih, "Enhancing the Energy Efficiency of Journaling File System via Exploiting Multi-Write Modes on MLC NVRAM," ACM/IEEE ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2018, (Top Conference)

  • Shuo-Han Chen, Tseng-Yi Chen, Yuan-Hao Chang, Hsin-Wen Wei, and Wei-Kuan Shih, "UnistorFS: A Union Storage File System Design for Resource Sharing between Memory and Storage on Persistent RAM based Systems," ACM Transactions on Storage (TOS), volume 14, number 1, pages 3:1-3:22, February 2018.

  • Po-Chun Huang, Yuan-Hao Chang, Tseng-Yi Chen, Chia-Heng Tu, Chun Chen, Wei-Kuan Shih, and Hsin-Wen Wei, "Cloud Storage Consolidation with Considerations of Bandwidth and Capacity," ACM Symposium on Applied Computing (SAC), April 2018.

  • Yi-Ling Lin, Ming-Chang Yang, Yuan-Hao Chang, Che-Wei Chang, and Shuo-Han Chen, "On Harmonizing Data Lifetime and Block Retention Time for Flash Devices," IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2018.

  • Chun-Feng Wu, Ming-Chang Yang, and Yuan-Hao Chang, "Improving Runtime Performance of Deduplication System with Host-Managed SMR Storage Drives," ACM/IEEE Design Automation Conference (DAC), June 2018, (Top Conference)

  • Chin-Chiang Pan, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo, Yu-Ming Chang, and Ming-Chang Yang, "Boosting the Performance with a Data-backup-free Programming Scheme for TLC-based SSDs," ACM Symposium on Applied Computing (SAC), April 2018.

  • Tse-Yuan Wang, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, and Hsiang-Pang Li, "A Partnership-Based Approach to Minimize the Maximal Response Time of Flash-Memory Storage Systems," ACM Symposium on Applied Computing (SAC), April 2018.

  • Chieh-Fu Chang, Che-Wei Chang, Yuan-Hao Chang, and Ming-Chang Yang, "Rethinking Self-balancing Binary Search Tree over Phase Change Memory with Write Asymmetry," ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2018.

  • Kun-Cheng Hsu, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, and Yu-Ming Huang, "Proactive Channel Adjustment to Improve Polar Code Capability for Flash Storage Devices," ACM/IEEE Design Automation Conference (DAC), June 2018, (Top Conference)

  • Chien-Chung Ho, Yu-Ming Chang, Yuan-Hao Chang, and Tei-Wei Kuo, "SLC-Like Programming Scheme for MLC Flash Memory," ACM Transactions on Storage (TOS), volume 14, number 1, pages 11:1-11:26, March 2018.

  • Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo, and Ping-Hsien Lin, "Scrubbing-aware Secure Deletion for 3D NAND Flash," ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September 2018, (Journal Track, Integrated with IEEE TCAD) (Top Conference)


Chen, Chu-Song (陳祝嵩)

  • Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, and Chu-Song Chen, "Merging Deep Neural Networks for Mobile Devices," CVPR Workshop on Efficient Deep Learning for Computer Vision, June 2018.

  • Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence, IJCAI 2018, July 2018.

  • Huei-Fang Yang, Bo-Yao Lin, Kuang-Yu Chang, and Chu-Song Chen, "Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks," ACM Transactions on Multimedia Computing, Communications and Applications, volume 14(1), pages 9:1-9:18, January 2018.

  • Yi-Min Chou, Chein-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model," CVPR Workshop on Automated Analysis of Marine Video for Environmental Monitoring, June 2018.

  • Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, April 2018.

  • Lin-Chen Shen, Tzu-Kuei Huang, Chu-Song Chen, Yung-Yu Chuang, "A 2.5D Approach to 360 Panorama Video Stablization," IEEE International Conference on Image Processing, ICIP 2018, October 2018.

  • Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 40(2), pages 437 - 451, February 2018.

  • Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, and Chu-Song Chen, "Equivalent Scanning Network of Unpadded CNNs," IEEE Signal Processing Letters, volume 25, number 10, pages 1590-1594, October 2018.

  • Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.


Chen, Ling-Jyh (陳伶志)

  • Ling-Jyh Chen, Yao-Hua Ho, Hsin-Hung Hsieh, Shih-Ting Huang, Hu-Cheng Lee, and Sachit Mahajan, "ADF: an Anomaly Detection Framework for Large-scale PM2.5 Sensing Systems," IEEE Internet of Things Journal, volume 5, number 2, pages 559-570, April 2018.

  • Sachit Mahajan, Tzu-Chieh Tsai, and Ling-Jyh Chen, "Short-Term PM2.5 Forecasting Using Exponential Smoothing Method: A Comparative Analysis," MDPI Sensors Journal, volume 18, number 10, pages 3223, September 2018.

  • Sachit Mahajan, Hao-Min Liu, Tzu-Chieh Tsai, and Ling-Jyh Chen, "Improving the Accuracy and Efficiency of PM2.5 Forecast Service Using Cluster-based Hybrid Neural Network Model," IEEE Access, volume 6, pages 19193-19204, March 2018.

  • Ting-Hui Chiang, Yan-Ann Chen, Chun-Ting Chang, Ling-Jyh Chen, and Yu-Chee Tseng, "Appliance Control by TDoA-based Localization and Gesture Recognition," IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'18), Bologna, Italy, September 2018.

  • Yao-Hua Ho, Yu-Te Huang, Hao-hua Chu, and Ling-Jyh Chen, "Adaptive Sensing Scheme using Naïve Bayes Classification for Environment Monitoring with Drone," International Journal of Distributed Sensor Networks, volume 14, number 1, pages 1-12, January 2018.

  • Sachit Mahajan, Wei-Lin Wu, Tzu-Chien Tsai, and Ling-Jyh Chen, "Design and Implementation of IoT-enabled Personal Air Quality Assistant on Instant Messenger," ACM International Conference on Management of Emergent Digital EcoSystems (MEDES'18), Tokyo, Japan, October 2018.

  • Sachit Mahajan, Yu-Siou Tang, Dont-Yi Wu, Tzu-Chieh Tsai, and Ling-Jyh Chen, "CAR: The Cleanest Air Routing Algorithm for Path Navigation with Minimal PM2.5 Exposure on the Move," ACM/USENIX International Conference on Mobile Systems, Applications, and Services (ACM/USENIX MobiSys'18), Munich, Germany, June 2018.

  • Chi-Chung Lo, Ting-Hui Chiang, Tsu-Kuang Lee, Ling-Jyh Chen, and Yu-Chee Tseng, "Wireless Location Tracking by a Sensor-Assisted Particle Filter and Floor Plans in a 2.5-D Space," IEEE Wireless Communications and Networking Conference (WCNC'18), Barcelona, Spain, March 2018.


Chen, Meng Chang (陳孟彰)

  • Ming-Chin Chuang, Meng Chang Chen, "NASH: Navigation-Assisted Seamless Handover Scheme for Smart Car in Ultra-Dense Networks," IEEE Transactions on Vehicular Technology, volume 67, number 2, pages 1649-1659, February 2018.

  • Tzu-Chi Yang, Meng Chang Chen and Yeali S. Sun, "The influence of self-regulated learning support and prior knowledge on learning mathematics," 18th IEEE International Conference on Advanced Learning Technologies (ICALT 2018), July 2018.

  • Yeali Sun, Chien-Chun Chen, Shun-Wen Hsiao and Meng Chang Chen, "ANTSdroid: Automatic Malware Family Behaviour Generation and Analysis for Android Apps," ACISP 2018, July 2018.


Chen, Wen-Tsuen (陳文村)

  • Yung-Shun Wang, Y.-W. Peter Hong, and W. T. Chen, "Distributed Trajectory Learning for Dynamically Connectable UAV Base Stations," Proceedings of APWCS 2018 - 15th IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium, Hsinchu, Taiwan, August 2018.

  • Chih-Hang Wang, Jian-Jhih Kuo, De-Nian Yang, and W. T. Chen, "Surveillance-Aware Uplink Scheduling for Cellular Networks," IEEE Transactions on Mobile Computing, volume preprint, pages preprint, April 2018.

  • Yi-Hui Lin, Jheng-Jia Huang, Chun-I Fan, and W. T. Chen, "Local Authentication and Access Control Scheme in M2M Communications with Computation Offloading," IEEE Internet of Things Journal, volume 5, number 4, pages 3209-3219, August 2018.

  • Chih-Yu Hsiao, Chih-Han Lin, Jian-Jhih Kuo, and W. T. Chen, "LAMP: Load Adaptive MAC Protocol for Inter-BAN Interference Mitigation," Proceedings of IEEE Wireless Communications and Networking Conference (IEEE WCNC 2018), Barcelona, Spain, April 2018.

  • Tung-Chun Chang, Chi-Han Lin, Kate Ching-Ju Lin, and W. T. Chen, "Traffic-Aware Sensor Grouping for IEEE 802.11ah Networks: Regression Based Analysis and Design," IEEE Transactions on Mobile Computing, volume preprint, pages preprint, June 2018.

  • Cheng-Ting Lee, Yun-Hao Liang, Pai H. Chou, Ali Heydari Gorji, Seyede Mahya Safavi, Wen-Chan Shih, and W. T. Chen, "EcoMicro: A Miniature Self-Powered Inertial Sensor Node Based on Bluetooth Low Energy," Proceedings of ACM/IEEE International Symposium on Low Power Electronics and Design ( ISLPED 2018), July 2018.

  • Chi-Han Lin, Yi-Ting Chen, Kate Ching-Ju Lin, and W. T. Chen, "FDoF: Enhancing Channel Utilization for 802.11ac," IEEE/ACM Transactions on Networking, volume 26, number 1, pages 465-477, February 2018.

  • Yung-Shun Wang, Y.-W. Peter Hong, and W. T. Chen, "Dynamically Connectable UAV Base Stations with Cooperative Energy Sharing," Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM 2018), Abu Dhabi, UAE, December 2018.

  • Sheng-Hao Chiang, Jian-Jhih Kuo, Shan-Hsiang Shen, De-Nian Yang, and W. T. Chen, "Online Multicast Traffic Engineering for Software-Defined Networks," Proceedings of IEEE Conference on Computer Communications (IEEE INFOCOM 2018), Honolulu, Hawaii, USA, April 2018.

  • Wei-Yu Chen, Bor-Sen Chen, and W. T. Chen, "Robust Minimax MSE Transceiver and Power Splitting Design for Multiuser MIMO SWIPT: An LMI Approach," Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM 2018), Abu Dhabi, UAE, December 2018.

  • Chun-I Fan, I-Te Chen, Chen-Kai Cheng, Jheng-Jia Huang, and W. T. Chen, "FTP-NDN: File Transfer Protocol Based on Re-Encryption for Named Data Network Supporting Non-Designated Receivers," IEEE Systems Journal, volume 12, number 1, pages 473-484, March 2018.

  • Jian-Jhih Kuo, De-Nian Yang, Wei-Cheng Li, and W. T. Chen, "Efficient Multi-View 3D Video Multicast with Mobile Edge Computing," Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM 2018), Abu Dhabi, UAE, December 2018.

  • Chih-Hang Wang, Jian-Jhih Kuo, De-Nian Yang, and W. T. Chen, "Green Software-Defined Internet of Things for Big Data Processing in Mobile Edge Networks," Proceedings of IEEE International Conference on Communications (IEEE ICC 2018), Kansas City, Missouri, USA, May 2018.

  • Ting-Hui Chi, Chih-Han Lin, Jian-Jhih Kuo, and W. T. Chen, "Live Video Multicast for Dynamic Users via Segment Routing in 5G Networks," Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM 2018), Abu Dhabi, UAE, December 2018.


Chen, Yu-Fang (陳郁方)

  • Matthias Heizmann, Yu-Fang Chen, Daniel Dietsch, Marius Greitschus, Jochen Hoenicke, Yong Li, Alexander Nutz, Betim Musa, Christian Schilling, Tanja Schindler, and Andreas Podelski, "Ultimate Automizer and the Search for Perfect Interpolants (Competition Contribution)," Tools and Algorithms for Construction and Analysis of Systems, Lecture Notes in Computer Science, April 2018.

  • Yu-Fang Chen, Matthias Heizmann, Ondrej Lengal, Yong Li, Ming-Hsien Tsai, Andrea Turrini, Lijun Zhang, "Advanced Automata-based Algorithms for Program Termination Checking," ACM-SIGPLAN Symposium on Programming Language Design and Implementation, June 2018.


Chung, Kai-Min (鐘楷閔)

  • Kai-Min Chung, Yue Guo, Wei-Kai Lin, Rafael Pass and Elaine Shi, "Game Theoretic Notions of Fairness in Multi-Party Coin Toss," To Appear in The 16th Theory of Cryptography Conference (TCC 2018),.

  • Yi-Hsiu Chen, Kai-Min Chung, Jyun-Jie Liao, "On the Complexity of Simulating Auxiliary Input," The 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques (EUROCRYPT 2018), April 2018.

  • Yanlin Chen, Kai-Min Chung, and Ching-Yi Lai, "Space-efficient Classical and Quantum Algorithms for the Shortest Vector Problem," The 21st Annual Conference on Quantum Information Processing (QIP 2018), January 2018.

  • Divesh Aggarwal, Kai-Min Chung, Han-Hsuan Lin and Thomas Vidick, "A Quantum-Proof Non-Malleable Extractor, With Application to Privacy Amplification against Active Quantum Adversaries," The 21st Annual Conference on Quantum Information Processing (QIP 2018), January 2018.

  • Ching-Yi Lai and Kai-Min Chung, "On Statistically-Secure Quantum Homomorphic Encryption," The 21st Annual Conference on Quantum Information Processing (QIP 2018), January 2018.


Ho, Jan-Ming (何建明)

  • Yi-Cheng Tsai, Chin-Laung Lei, William Cheung, Chung-Shu Wu, Jan-Ming Ho, and Chuan-Ju Wang, "Exploring the Persistent Behavior of Financial Markets," Finance Research Letters, volume 24, pages 199-220, March 2018.

  • Hung-Min Hsu, Chen-Sheng Gu, Lee-Tse Ting, Cheng-Yu Liu, Ray-I Chang, Jan-Ming Ho, "Resource Delivery Service System for User Engagement Improvement," IEEE International Conference on SOCA 2017, November 2018.

  • Jan-Ming Ho, Po-Wei Chen, Chia-Hui Wang, "Feasibility Study on Sniffing and Breakthrough of Firewall Rules behind Non-free Networks over Internet," Invited Speech, 2018 International Conference for Leading and Young Computer Scientists, February 2018.

  • Hsin-Yu Hou, Hsiang-Huang Wu, Chien-Min Wang, Hsuan-Chi Kuo, Wei-Chun Chung and Jan-Ming Ho, "Scalable and Efficient Construction of Large-Scale Generalized Suffix Array with MapReduce and In-Memory Data Store," IEEE CLOUD 2018, July 2018.


Hsu, Tsan-sheng (徐讚昇)

  • Jr-Chang Chen, Ting-Yu Lin and Tsan-Sheng Hsu, "Effective Number of Moves for Chinese Chess," To Appear in Proceedings of the 2018 International Conference on Computers and Games (CG),.


Hsu, Wen-Lian (許聞廉)

  • Hsin-Nan Lin and Wen-Lian Hsu, "DART: a fast and accurate RNA-seq mapper with a partitioning strategy," Bioinformatics, volume 34, number 2, pages 190-197, January 2018.

  • Yung-Chun Chang, Cheng-Wei Shih, and Wen-Lian Hsu, "Entailment-based Intelligent Agent for Software Project Monitoring and Control," IEEE Systems Journal, volume 12, number 1, pages 216-227, March 2018, 10.1109/JSYST.2016.2563463


Hwang, Wen-Liang (黃文良)

  • Changchen Zhao, Wen-Liang Hwang, Chun-Liang Lin, Weihai Chen, "Greedy orthogonal matching pursuit for subspace clustering to improve graph connectivity," Information Sciences, volume 459, pages 135-148, August 2018.

  • Ping-Tzan Huang, Wen-Liang Hwang, Tai-Lang Jong, "Learning Parseval Frames for Sparse Representation with Frame Perspective," IEEE ICIP 2018, October 2018.

  • Tsai, K.T., Hu, C.K., Li, K.W., Hwang, W.L., Chou, Y.H., "Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity," Scientific Reports, volume 8, pages 1-15, May 2018.


Ku, Lun-Wei (古倫維)

  • Chao-Chun Hsu and Lun-Wei Ku, "SocialNLP 2018 EmotionX Challenge Overview:Recognizing Emotions in Dialogues," Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, Association for Computational Linguistics (ACL), pages 27-31, July 2018.

  • Hung-Chen Chen, Zi-Yuan Chen, Sin-Yi Huang, Lun-Wei Ku, Yu-Shian Chiu and Wei-Jen Yang, "Relation Extraction in Knowledge Base Question Answering: from General Domain to Catering Industry," Proceeding of the 20th International Conference on Human-Computer Interaction (HCII 2018), July 2018.

  • Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Ting-Hao Kenneth Huang, Lun-Wei Ku, "EmotionLines: An Emotion Corpus of Multi-Party Conversations," Proceeding of the 11th edition of the Language Resources and Evaluation Conference (LREC 2018), May 2018.

  • Chao-Chun Hsu, Szu-Min Chen, Ming-Hsun Hsieh and Lun-Wei Ku, "Using Inter-Sentence Diverse Beam Search to Reduce Redundancy in Visual Storytelling," Storytelling Workshop in the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2018), June 2018.


Lee, Der- Tsai (李德財)

  • 國家安全會議國家資通安全辦公室, "國家資通安全戰略報告 - 資安即國安," 李德財, editor, 國家安全會議國家資通安全辦公室, September 2018.

  • Mong-Jen Kao, Hai-Lun Tu and D.T. Lee, "O(f) Bi-criteria Approximation for Capacitated Covering with Hard Capacities,"To Appear in Algorithmica.

  • Hung-I Yu, Cheng-Chung Li, and D.T. Lee, "The multi-service center problem," Theoretical Computer Science, volume 705, pages 58-74, January 2018.


Liao, Mark (廖弘源)

  • Y. S. Chou, P. H. Hsiao, S. D. Lin, and H. Y. Mark Liao, "How sampling rate affects cross-domain transfer learning for video description," IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Calgary, Alberta, Canada, April 2018.

  • Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "Coherent Deep-Net Fusion To Classify Shots In Concert Videos," IEEE Transactions on Multimedia, volume 20, number 11, pages 3123-3136, November 2018.

  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "SeeTheVoice; Learning from Music to Visual Storytelling of Shots," IEEE International Conference on Multimedia and Expo (ICME 2018), July 2018.


Liau, Churn-Jung (廖純中)

  • T.F. Fan and C.J. Liau, "Possibilistic reasoning about actions in agent systems," To Appear in Proceedings of the 42nd IEEE Computer Society International Conference on Computers, Software & Applications,.

  • Y.R. Syau, E.B. Lin, C.J. Liau, "Neighborhood systems: Rough set approximations and definability.," Fundamenta Informaticae, volume 159, number 4, pages 429-450, March 2018.

  • Y.H. Chung, T.F. Fan, and C.J. Liau, "A Comparative Study on Algorithms for Influence Maximization in Social Networks," To Appear in The Genetic and Evolutionary Computation Conference (GECCO 2018), ACM.


Lin, Chung-Yen (林仲彥)

  • Shu-Hwa Chen, Wen-Yu Kuo, Sheng-Yao Su, Wei-Chun Chung, Jen-Ming Ho, Henry Horng-Shing Lu, Chung-Yen Lin, "A Gene Profiling Deconvolution Approach to Estimate Immune Cell Composition from Complex Tissues," BMC Bioinformatics, volume 19, number (Suppl 4), pages 154, May 2018, https://doi.org/10.1186/s12859-018-2069-6

  • Hsiang-Yi Hsu, Fang-Chi Chang, Yu-Bin Wang, Shu-Hwa Chen, Ya-Bo Lin, Chung-Yen Lin, Yu-San Han*, "Revealing the compositions of the intestinal microbiota of three Anguillid eel species by using 16S rDNA sequencing," Aquaculture Research, volume 1, pages 1-12, May 2018.

  • Hsiao-Pei Lu, Po-Yu Liu, Yu-bin Wang, Ji-Fan Hsieh, Han-Chen Ho, Shiao-Wei Huang, Chung-Yen Lin, Chih-hao Hsieh, Hon-Tsen Yu, "Functional Characteristics of the Flying Squirrels Cecal Microbiota under a Leaf-Based Diet, Based on Multiple Meta-Omic Profiling," Frontiers in Microbiology, volume 8, pages 2622, January 2018.


Liu, Jing-Sin (劉進興)

  • HJ Chou and JS Liu, "Numerical Study of Hamilton-Jacobi-Bellman Equation for Time-Optimal Trajectory Generation of Dubins Vehicle," 12th AIMS Conference on Dynamical Systems, Differential Equations and Applications, Taipei, Taiwan, July 2018.

  • Yin-Ting Lin and Jing-Sin Liu, "Revisit of Minimum- area Enclosing Rectangle of a Convex Polygon," 2018 5th International Conference on Control, Decision and Information Technologies,Thessaloniki, Greece, April 2018.


Liu, Tyng-Luh (劉庭祿)

  • Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, and Min Sun, "Cube Padding for Weakly-Supervised Saliency Prediction in 360 Videos," IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, June 2018, (CVPR)

  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "SeeTheVoice; Learning from Music to Visual Storytelling of Shots," IEEE International Conference on Multimedia and Expo (ICME 2018), July 2018.

  • Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "Coherent Deep-Net Fusion To Classify Shots In Concert Videos," IEEE Transactions on Multimedia, volume 20, number 11, pages 3123-3136, November 2018.


Lu, Chun-Shien (呂俊賢)

  • Sung-Hsien Hsieh, Chun-Shien Lu, and Soo-Chang Pei, "Compressive Sensing Matrix Design for Fast Encoding and Decoding via Sparse Fourier Transform," IEEE Signal Processing Letters, volume 25, number 4, pages 591-595, April 2018.

  • Wei-Chih Huang, Sung-Hsien Hsieh, Chun-Shien Lu, and Soo-Chang Pei, "Simple Deep Learning Network via Tensor-Train Haar Wavelet Decomposition Without Retraining," IEEE Int'l Workshop on Machine Learning for Signal Processing (MLSP), September 2018.

  • Chia-Tsen Sun, Pei-Chun Kuan, Yu-Mei Wang, Chun-Shien Lu, and Hsi-Chun Wang, "Integration of Graphic QR Code and Identity Documents by Laser Perforation to Enhance Anti-Counterfeiting Features," Mobile Multimedia Computing Workshop, IEEE ICME, July 2018.

  • Sung-Hsien Hsieh, Chun-Shien Lu, and Soo-Chang Pei, "Fast Computing Maxima of Circulant Convolution," Digital Signal Processing, volume 83, pages 83-97, August 2018.

  • Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, and Chun-Shien Lu, "Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better?," IEEE Access, volume 6, pages 3739-3754, January 2018.

  • Sung-Hsien Hsieh, Tsung-Hsuan Hung, Chun-Shien Lu, Yu-Chi Chen, and Soo-Chang Pei, "A Secure Compressive Sensing-based Data Gathering System via Cloud Assistance," IEEE Access, volume 6, pages 31840-31853, June 2018.


Ma, Wei-Yun (馬偉雲)

  • Chi-Yen Chen, Wei-Yun Ma, "Word Embedding Evaluation Datasets and Wikipedia Title Embedding for Chinese," LREC, May 2018.

  • Tsu-Hui Fu, Wei-Yun Ma, "Speed Reading: Learning to Read ForBackward via Shuttle," International Conference on EMNLP, October 2018.

  • Wei-Yun Ma and Yueh-Yin Shih, "Extended HowNet 2.0 – An Entity-Relation Common-Sense Representation Model," LREC, May 2018.


Mu, Shin-Cheng (穆信成)

  • Chen-Mou Cheng, Ruey-Lin Hsu and Shin-Cheng Mu, "Functional pearl: folding polynomials of polynomials," Functional and Logic Programming (FLOPS 2018), Lecture Notes in Computer Science, 10818, John Gallagher and Martin Sulzmann, editors, pages 68-83, Springer, May 2018.


Su, Keh-Yih (蘇克毅)

  • Qianlong Du, Chengqing Zong, and Keh-Yih Su, "Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference," COLING 2018, Santa Fe, New Mexico, USA, August 2018.

  • Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin and Keh-Yih Su, "A Meaning-based Statistical English Math Word Problem Solver," Proceedings of NAACL HLT 2018, New Orleans, LA, U.S.A, June 2018.


Su, Li (蘇黎)

  • I-Chieh Wei and Li Su, "Online Music Performance Tracking Using Parallel Dynamic Time Warping," IEEE 20th International Workshop on Multimedia Signal Processing (MMSP), August 2018.

  • Hsueh-Wei Liao and Li Su, "Monaural source separation using Ramanujan subspace dictionaries," IEEE Sig. Proc. Lett. (SPL), volume 25, number 8, pages 1156-1160, August 2018.

  • Chin-Yun Yu and Li Su, "Multi-layered Cepstrum for Instantaneous Frequency Estimation," IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 2018.

  • Yin-Jyun Luo and Li Su, "Learning Domain-adaptive Latent Representations of Music Signals Using Variational Autoencoders," International Society of Music Information Retrieval Conference (ISMIR), September 2018.

  • Wei-Tsung Lu and Li Su, "Deep Learning Models for Melody Perception: An Investigation on Symbolic Music Data," Proc. Asia Pacific Signal and Infor. Proc. Asso. Annual Summit and Conf. (APSIPA ASC), November 2018.

  • Wei-Tsung Lu and Li Su, "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model," International Society of Music Information Retrieval Conference (ISMIR), September 2018.

  • Tsung-Ping Chen and Li Su, "The Musical Schemagram: Time-Scale Visualization of Repeated Patterns in Music," Proc. Asia Pacific Signal and Infor. Proc. Asso. Annual Summit and Conf. (APSIPA ASC), November 2018.

  • Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi, and Li Su, "Singing voice correction using canonical time warping," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018.

  • Wei-Tsung Lu and Li Su, "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning," International Society of Music Information Retrieval Conference (ISMIR), September 2018.

  • Li Su, "Vocal melody extraction using patch-based CNN," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018.

  • Chen-Yun Lin, Li Su, and Hau-tieng Wu, "Wave-shape function analysis – when cepstrum meets time-frequency analysis," Journal of Fourier Analysis and Applications, volume 24, number 2, pages 451–505, April 2018.

  • Tsung-Ping Chen and Li Su, "Functional Harmony Recognition with Multi-task Recurrent Neural Networks," International Society of Music Information Retrieval Conference (ISMIR), September 2018.

  • Yu-Te Wu, Berlin Chen, and Li Su, "Automatic music transcription leveraging generalized cepstral features and deep learning," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018.


Sung, Ting-Yi (宋定懿)

  • Ching-Tai Chen, Chu-Ling Ko, Wai-Kok Choong, Jen-Hung Wang, Wen-Lian Hsu, and Ting-Yi Sung, "WinProphet: a user-friendly pipeline management system based on Trans-Proteomic Pipeline," 66th ASMS Conference on Mass Spectrometry and Allied Topics, June 2018.

  • Jen-Hung Wang, Tung-Shing Mamie Lih, Wai-Kok Choong, Wen-Lian Hsu, Ting-Yi Sung, "Evaluating the possibility of misinterpreting MS/MS spectra caused by isobaric substitutions: a case study on human missing proteins," 66th ASMS Conference on Mass Spectrometry and Allied Topics, June 2018.

  • Tung-Shing Mamie Lih, Wai-Kok Choong, Yu-Ju Chen, Ting-Yi Sung, "Evaluating the possibility of detecting variants in shotgun proteomics via LTE-fusion analysis pipeline," Journal of Proteome Research, volume 17, number 9, pages 2937-2952, September 2018.


Tsai, Huai-Kuang (蔡懷寬)

  • Kwan, S.Y., Huang, J.H., Tsai, Z.T.Y. and Tsai, H.K.*, "Dynamics of cis-regulatory regions for introducing the divergent transcription factor motifs in the human genome," 50th Anniversary of the Neutral Theory of Molecular Evolution (SMBE), Yokohama, Japan, July 2018.

  • Shiau, C.K., Huang, J.H. and Tsai, H.K.*, "CATANA: Comprehensive Alternative Transcript Atlas based oN Annotation," 50th Anniversary of the Neutral Theory of Molecular Evolution (SMBE), Yokohama, Japan, July 2018.


Wang, Chien-Min (王建民)

  • Yang Syu, Chien-Min Wang, and Yong-Yi Fanjiang, "A Survey on Time-aware Dynamic QoS Forecasting Research and Its Future Challenges and Research Directions," To Appear in 15th International Conference on Service Computing, Seattle, USA.

  • Yueh Wu and Chien-Ming Wang, "Applying Hand Gestures Recognition and Joints Tracking to TV Controller with CNN and Convolutional Pose Machine," To Appear in Proceeding of the 24th International Conference on Pattern Recognition, Beijing, China.

  • Yang Syu and Chien-Min Wang, "Modeling and Forecasting Http Requests-based Cloud Workloads Using Autoregressive Artificial Neural Networks," To Appear in IEEE Conference on Computer and Communication Systems, Nagoya, Japan.

  • Joshua Ho and Chien-Min Wang, "TouchWear: Context-Dependent and Self-Learning Personal Speech Assistant for Wearable Systems with Deep Neural Networks," To Appear in Proceeding of the 4th International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, Barcelona, Spain.


Wang, Hsin-Min (王新民)

  • Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen, and Hsin-Min Wang, "An Information Distillation Framework for Extractive Summarization," IEEE/ACM Transactions on Audio, Speech, and Language Processing, volume 26, number 1, pages 161-170, January 2018.

  • Szu-wei Fu, Yu Tsao, Hsin-Te Hwang and Hsin-Min Wang, "Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM," Interspeech2018, September 2018.

  • Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao, Hsiu-Wen Chang, and Hsin-Min Wang, "Audio-Visual Speech Enhancement using Multimodal Deep Convolutional Neural Networks," IEEE Transactions on Emerging Topics in Computational Intelligence, volume 2, number 2, pages 117-128, April 2018.

  • Ryandhimas Edo Zezario, Jen-Wei Huang, Xugang Lu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang, "Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement," APSIPA Annual Summit and Conference (APSIPA ASC 2018), December 2018.

  • Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen, and Hsin-Min Wang, "Essence Vector-based Query Modeling for Spoken Document Retrieval," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), April 2018.

  • Yi-Ying Kao, Hsiang-Ping Hsu, Chien-Feng Liao, Yu Tsao, Hao-Chun Yang, Jeng-Lin Li, Chi-Chun Lee, Hung-Shin Lee, and Hsin-Min Wang, "Automatic Detection of Speech Under Cold Using Discriminative Autoencoders and Strength Modeling with Multiple Sub-Dictionary Generation," International Workshop on Acoustic Signal Enhancement (IWAENC 2018), September 2018.

  • Wen-Chin Huang, Chen-Chou Lo, Hsin-Te Hwang, Yu Tsao, and Hsin-Min Wang, "WaveNet Vocoder and its Applications in Voice Conversion," The 30th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2018), October 2018, (in Chinese)

  • Wen-Chin Huang, Hsin-Te Hwang, Yu-Huai Peng, Yu Tsao, and Hsin-Min Wang, "Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders," International Symposium on Chinese Spoken Language Processing (ISCSLP2018), November 2018.

  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "SeeTheVoice; Learning from Music to Visual Storytelling of Shots," IEEE International Conference on Multimedia and Expo (ICME 2018), July 2018.

  • Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "Coherent Deep-Net Fusion To Classify Shots In Concert Videos," IEEE Transactions on Multimedia, volume 20, number 11, pages 3123-3136, November 2018.

  • Yu-Huai Peng, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, and Hsin-Min Wang, "Exemplar-Based Spectral Detail Compensation for Voice Conversion," Interspeech2018, September 2018.


Wu, Jan-Jan (吳真貞)

  • Shih-Kai Lin, Ding-Yong Hong, Sheng-Yu Fu, Jan-Jan Wu, Wei-Chung Hsu, "Dynamic Tuning of Applications using Restricted Transactional Memory," ACM Research in Adaptive and Convergent Systems, ACM Digital Library, Hawaii, USA, October 2018.

  • Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, "Efficient and Retargetable SIMD Translation in a Dynamic Binary Translator," Software: Practice and Experience, volume 48, number 6, pages 1312-1330, June 2018.

  • Olivier Valery, Pangfeng Liu, Jan-Jan Wu, "Low precision deep learning training on mobile heterogeneous platform," 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018), Cambridge, UK, March 2018.

  • Chih-Min Lin, Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, "Exploiting SIMD Optimization in an ARMv7 Dynamic Binary Translator," Design Automation Conference, San Francisco, USA, June 2018.

  • Ding-Yong Hong, Yu-Ping Liu, Sheng-Yu Fu, Jan-Jan Wu, Wei-Chung Hsu, "Improving SIMD Parallelism via Dynamic Binary Translation," ACM Transactions on Embedded Computing Systems (TECS), volume 17, number 3, pages 61:1 - 61:27, February 2018.

  • Li-Yung Ho, Jan-Jan Wu and Pangfeng Liu, "Adaptive Communication for Distributed Deep Learning on Commodity GPU Cluster," IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2018.

  • Olivier Valery, Pangfeng Liu, Jan-Jan Wu, "A Collaborative CPU-GPU Approach for Principal Component Analysis on Mobile Heterogeneous Platform," Journal of Parallel and Distributed Computing (JPDC), volume 120, pages 44-61, October 2018.


Yang, Bo-Yin (楊柏因)

  • Andy Polyakov, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, "Verifying Arithmetic Assembly Programs in Cryptographic Primitives," To Appear in The 29th International Conference on Concurrency Theory (CONCUR 2018), Lecture Notes in Computer Science, Sven Schewe and Lijun Zhang, editors.

  • D. J. Bernstein and B.-Y. Yang, "Asymptotically faster quantum algorithms to solve multivariate quadratic equations," PQCRYPTO, Lecture Notes in Computer Science, volume 10786, Springer, pages 487-506, April 2018.

  • R. Niederhagen, K.-C. Ning and B.-Y. Yang, "Implementing Joux-Vitse's Crossbred Algorithm for Solving MQ Systems on GPUs," PQCRYPTO, Lecture Notes in Computer Science, volume 10786, Springer, pages 121-141, April 2018.


Yang, De-Nian (楊得年)

  • H.-H. Shuai, Y.-C. Lien, D.-N. Yang, Y.-F. Lan, W.-C. Lee, and P. S. Yu, "Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions," ACM International Conference on Information and Knowledge Management (ACM CIKM), October 2018, (accepting rate = 17%)

  • C.-H. Wang, J.-J. Kuo, D.-N. Yang, and W. T. Chen, "Green Software-Defined Internet of Things for Big Data Processing in Mobile Edge Networks," Proceedings of IEEE International Conference on Communications (IEEE ICC), May 2018.

  • C.-Y. Shen, K. F. C. Parfait, D.-N. Yang, Y.-S. Chen, and W.-C. Lee, "On Organization of Online Soirees for Live Multi-Streaming," AAAI Conference on Artificial Intelligence (AAAI), February 2018, (oral presentation, accepting rate = 11%)

  • S.-H. Chiang, J.-J. Kuo, S.-H. Shen, D.-N. Yang, and W.-T. Chen, "Online Multicast Traffic Engineering for Software-Defined Networks," IEEE Conference on Computer Communications (IEEE INFOCOM), April 2018, (accepting rate = 19%)


Yeh, Mi-Yen (葉彌妍)

  • Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh, "Forecasting Participants of Information Diffusion on Social Networks with Its Applications," Information Sciences, volume 422, pages 432-446, January 2018.

  • Wush Chi-Hsuan Wu, Mi-Yen Yeh, and Ming-Syan Chen, "Deep Censored Learning of the Winning Price in the Real Time Bidding," 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018), August 2018.

  • Su-Chen Lin, Mi-Yen Yeh, and Ming-Syan Chen, "Non-overlapping Subsequence Matching of Stream Synopses," IEEE Transactions on Knowledge and Data Engineering, volume 30, number 1, pages 101-114, January 2018.

  • Chin-Chi Hsu, Mi-Yen Yeh, and Shou-De Lin, "A General Framework for Implicit and Explicit Social Recommendation," IEEE Transactions on Knowledge and Data Engineering, volume preprint, pages preprint, March 2018.

  • Shan-Yun Teng, Lo-Pang-Yun Ting, Mi-Yen Yeh, and Kun-Ta Chuang, "Worship Prediction: Identify Followers in Celebrity-Dived Networks," World Wide Web, April 2018.

  • Chien-Wei Chang, Mi-Yen Yeh, and Kun-Ta Chuang, "Node Reactivation Model to Intensify Influence on Network Targets," Knowledge and Information Systems, volume 54, number 3, pages 567–590, March 2018.


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