中央研究院 資訊科學研究所

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2018 著作目錄

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Chang, Yuan-Hao (張原豪)

  • Tei-Wei Kuo, Jian-Jia Chen, Yuan-Hao Chang, and Pi-Cheng Hsiu, Real-Time Computing and the Evolution of Embedded System Designs, IEEE Real-Time Systems Symposium (RTSS), December 2018, (Top Conference).
  • Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo, and Ping-Hsien Lin, Scrubbing-aware Secure Deletion for 3D NAND Flash, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2018, (Integrated with ACM/IEEE CODES+ISSS'18).
  • 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, Yen-Ting Chen, Yuan-Hao Chang, Hsin-Wen Wei, and Wei-Kuan Shih, A Progressive Performance Boosting Strategy for 3D Charge-trap NAND Flash, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), November 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, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2018, (Integrated with ACM/IEEE EMSOFT'18).
  • 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), September 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).
  • 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).
  • 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), August 2018.
  • Tseng-Yi Chen, Yuan-Hao Chang, Yuan-Hung Kuan, Ming-Chang Yang, Yu-Ming Chang, and Pi-Cheng Hsiu, Enhancing Flash Memory Reliability by Jointly Considering Write-back Pattern and Block Endurance, ACM Transactions on Design Automation of Electronic Systems (TODAES), August 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.
  • 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.
  • 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), July 2018.
  • 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 International Symposium on Low Power Electronics and Design (ISLPED), July 2018, (Top Conference).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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.
  • 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.
  • 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.
  • 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), March 2018.
  • 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), February 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.

Chen, Chu-Song (陳祝嵩)

  • Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, Supervised Representation Hash Codes Learning, 23th International Computer Symposium, ICS 2018, December 2018.
  • Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, and Chu-Song Chen, Equivalent Scanning Network of Unpadded CNNs, IEEE Signal Processing Letters, 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 (MIPR), April 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, February 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, January 2018.

Chen, Ling-Jyh (陳伶志)

  • Guowen Huang, Ling-Jyh Chen, Wen-Han Hwang, ShengLi Tzeng, and Hsin-Cheng Huang, Real-Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan, Environmetrics, December 2018.
  • Yi-Bing Lin, Ying-Ju Shih, Hung-Chun Tseng, and Ling-Jyh Chen, LWA Rate Adaption by Enhanced Event - Triggered Reporting, IEEE Transactions on Vehicular Technology, November 2018.
  • Li-Pang Huang, Ming-Hong Hong, Cyuan Heng Luo, Sachit Mahajan, and Ling-Jyh Chen, A Vector Mosquitoes Classification System Based on Edge Computing and Deep Learning, IEEE International Conference on Technologies and Applications of Artificial Intelligence (TAAI'18), Taichung, Taiwan, November 2018.
  • Cyuan Heng Luo, Hsuan Yang, Li-Pang Huang, Sachit Mahajan, and Ling-Jyh Chen, A Fast PM2.5 Forecast Approach Based on Time-Series Data Analysis, Regression and Regularization, IEEE International Conference on Technologies and Applications of Artificial Intelligence (TAAI'18), Taichung, Taiwan, November 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.
  • Ling-Jyh Chen, Shih-Chun Lung, Sachit Mahajan, Hsin-Hung Hsieh, and Jin-Wei Liu., AirBox: a participatory ecosystem for PM2.5 monitoring., International Aerosol Conference (IAC'18), September 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.
  • Sachit Mahajan, Tzu-Chieh Tsai, and Ling-Jyh Chen, Short-Term PM2.5 Forecasting Using Exponential Smoothing Method: A Comparative Analysis, MDPI Sensors Journal, September 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.
  • 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, April 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, March 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.
  • 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, January 2018.

Chen, Wen-Tsuen (陳文村)

  • 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.
  • 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, December 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.
  • 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.
  • 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.
  • Shang-Hong Hsu, Chih-Han Lin, Chih-Yu Wang, and W. T. Chen, Breaking Bandwidth Limitation for Mission-Critical IoTs using Semi-Sequential Multiple Relays, IEEE Internet of Things Journal, October 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, August 2018.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • W. T. Chen, Mobile Edge Computing for Internet of Things (Keynote speech), Proceedings of the Third IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2018), April 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, March 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, February 2018.

Chen, Yu-Fang (陳郁方)

  • P. A. Abdulla, M. F. Atig, Y.-F. Chen, B. P. Diep, L. Holík, A. Rezine, P. Rümmer, Trau: SMT Solver for String Constraints, Formal Methods in Computer Aided Design (FMCAD 2018), October 2018.
  • Y.-F. Chen, M. Heizmann, O. Lengal, Y. Li, M.-H. Tsai, A. Turrini, L. Zhang, Advanced Automata-based Algorithms for Program Termination Checking, Programming Language Design and Implementation (PLDI 2018), June 2018.
  • M. Heizmann, Y.-F. Chen, D. Dietsch, M. Greitschus, J. Hoenicke, Y. Li, A. Nutz, B. Musa, C. Schilling, T. Schindler, and A. Podelski, Ultimate Automizer and the Search for Perfect Interpolants, Tools and Algorithms for Construction and Analysis of Systems (TACAS 2018), April 2018.

Chuang, Tyng-Ruey (莊庭瑞)

  • Tyng-Ruey Chuang, Huang-Sin Syu, and Wen-Ting Yang, Case Studies on Mutually Enriched Data Projects, SciDataCon 2018, November 2018.
  • Tyng-Ruey Chuang and Chih-hsing Ho, Communal Sharing of Sensitive Data, SciDataCon 2018, November 2018.
  • Tyng-Ruey Chuang, Cheng-Jen Lee, and Chia-Hsun Wang, Retooling An Open Data Repository for A Research Data Repository, SciDataCon 2018, November 2018.
  • 莊庭瑞、王家薰、李承錱, 資訊服務平台的內容保存:以協作文件為例, 「未來歷史學:當代典藏與數位世界」論壇, May 2018.
  • Tyng-Ruey Chuang, Cheng-Jen Lee, and Chia-Hsun Wang, Preserving Collaborative Documents in Contemporary Events, International Data Curation Conference, February 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, The 16th Theory of Cryptography Conference (TCC 2018), November 2018.
  • Ching-Yi Lai and Kai-Min Chung, On Statistically-Secure Quantum Homomorphic Encryption, Quantum Information & Computation, August 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, Quantum Information & Computation, March 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; Poster), January 2018.

Ho, Jan-Ming (何建明)

  • SH Chen, WY Kuo, SY Su, WC Chung, JM Ho, HHS Lu, CY Lin, A gene profiling deconvolution approach to estimating immune cell composition from complex tissues, BMC Genomics, May 2018.
  • 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, March 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.
  • Li-An Yang, Yu-Jung Chang, Shu-Hwa Chen, Chung-Yen Lin and Jan-Ming Ho, The Spiral Assembler: An Iterative Process of NGS De Novo Genome Assembly with Machine-Learning for Subset Selection on Quality-Score and K-Mer Landscape, January 2018.

Hong, Ding-Yong (洪鼎詠)

  • Ding-Yong Hong, Jan-Jan Wu, Yu-Ping Liu, Sheng-Yu Fu, Wei-Chung Hsu, Processor-Tracing Guided Region Formation in Dynamic Binary Translation, ACM Transactions on Architecture and Code Optimization (TACO), November 2018.
  • 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, Hawaii, USA, October 2018.
  • Sheng-Yu Fu, Chih-Min Lin, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Exploiting SIMD Capability in an ARMv7-to-ARMv8 Dynamic Binary Translator, International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), Turin, Italy, September 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.
  • 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 (SPE), 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), February 2018.

Hsu, Tsan-sheng (徐讚昇)

  • Jr-Chang Chen, Gang-Yu Fan, Hung-Jui Chang and Tsan-sheng Hsu, Compressing Chinese Dark Chess Endgame Databases by Deep Learning, IEEE transactions on Games, December 2018.
  • Chu-Hsuan Hsueh, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu, AlphaZero for a Non-deterministic Game, Proceedings of the 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI), international track, December 2018, Best paper award.
  • Hung-Jui Chang, Jr-Chang Chen, Gang-Yu Fang, Chih-Wen Hsueh and Tsan-sheng Hsu, Using Chinese Dark Chess Endgame Databases to Validate and Fine-Tune Game Evaluation Functions, International Computer Game Association (ICGA) Journal, June 2018.
  • Hung-Jui Chang, Jr-Chang Chen, Chih-Wen Hsueh and Tsan-sheng Hsu, Analysis and Efficient Solutions for 2×4 Chinese Dark Chess, International Computer Game Association (ICGA) Journal, June 2018.
  • Chu-Hsuan Hsueh, I-Chen Wu, Tsan-sheng Hsu and Jr-Chang Chen, An Investigation of Strength Analysis Metrics for Game-Playing Programs: A Case Study in Chinese Dark Chess, International Computer Game Association (ICGA) Journal, June 2018.

Hsu, Wen-Lian (許聞廉)

  • Cheng-Wei Cheng, Yixuan Zhou, Wen-Harn Pan, Supriya Dey, Chung-Yi Wu, Wen-Lian Hsu and Chi-Huey Wong, Hierarchical and programmable one-pot synthesis of oligosaccharides, Nature Communications, December 2018.
  • Po-Ting Lai, Ming-Siang Huang, Ting-Hao Yang, Richard Tzong-Han Tsai, Wen-Lian Hsu, Statistical Principle-based Approach for Gene and Protein Related Object Recognition, Journal of Cheminformatics, December 2018.
  • Neha Warikoo, Yung-Chun Chang, and Wen-Lian Hsu, LPTK: A Linguistic Pattern-Aware Dependency Tree Kernel Approach for the BioCreative VI CHEMPROT Task, Database (Oxford), October 2018.
  • Yung-Chun Chang, Cheng-Wei Shih, and Wen-Lian Hsu, Entailment-based Intelligent Agent for Software Project Monitoring and Control, IEEE Systems Journal, March 2018, 10.1109/JSYST.2016.2563463.
  • Hsin-Nan Lin and Wen-Lian Hsu, DART: a fast and accurate RNA-seq mapper with a partitioning strategy, Bioinformatics, January 2018.

Hwang, Wen-Liang (黃文良)

  • Ping-Tzan Huang, Wen-Liang Hwang, Tai-Lang Jong, Learning Parseval Frames for Sparse Representation with Frame Perspective, IEEE ICIP 2018, October 2018.
  • Changchen Zhao, Wen-Liang Hwang, Chun-Liang Lin, Weihai Chen, Greedy orthogonal matching pursuit for subspace clustering to improve graph connectivity, Information Sciences, August 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, May 2018.

Ku, Lun-Wei (古倫維)

  • Chieh-Yang Huang and Lun-Wei Ku, EmotionPush: Emotion and Response Time Prediction Towards Human-Like Chatbots, in Proceedings of the IEEE Global Communications Conference (IEEE Globecom 2018), December 2018.
  • Wei-Fan Chen and Lun-Wei Ku, We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling, IEEE Transactions on Knowledge and Data Engineering, October 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, in Proceeding of the 20th International Conference on Human-Computer Interaction (HCI International 2018), July 2018.
  • Chao-Chun Hsu and Lun-Wei Ku, SocialNLP 2018 EmotionX Challenge Overview:Recognizing Emotions in Dialogues, in Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media (SocialNLP 2018), July 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, in Proceedings of the 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.
  • Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Ting-Hao Kenneth Huang, Lun-Wei Ku, EmotionLines: An Emotion Corpus of Multi-Party Conversations, in Proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC 2018), May 2018.
  • Wei-Fan Chen and Lun-Wei Ku, Introduction to CSentiPackage, Journal of Library & Information Science, April 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, September 2018.
  • Hung-I Yu, Tien-Ching Lin, and D. T. Lee, The (1|1)-Centroid Problem in the Plane with Distance Constraints, International Journal of Computational Geometry and Applications, June 2018.
  • Hung-I Yu, Cheng-Chung Li, and D.T. Lee, The multi-service center problem, Theoretical Computer Science, January 2018.
  • D. T. Lee and Hung-I Yu, Handbook of Data Structures and Applications (2nd Edition), 2018.

Liao, Mark (廖弘源)

  • 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, November 2018.
  • Guanjun Guo, Hanzi Wang, Chunhua Shen, Yan Yan, and Hong-Yuan Mark Liao, Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression, IEEE Transactions on Multimedia, August 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), July 2018.
  • 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, Calgary, Alberta, Canada, April 2018.

Liau, Churn-Jung (廖純中)

  • Y.H. Chung, T.F. Fan, and C.J. Liau, A comparative study on algorithms for influence maximization in social networks, The Genetic and Evolutionary Computation Conference (GECCO 2018), July 2018.
  • T.F. Fan and C.J. Liau, Possibilistic reasoning about actions in agent systems, Proceedings of the 42nd IEEE Computer Society International Conference on Computers, Software & Applications, July 2018.
  • Y.R. Syau, E.B. Lin, C.J. Liau, Neighborhood systems: Rough set approximations and definability., Fundamenta Informaticae, March 2018.

Lin, Chung-Yen (林仲彥)

  • Tsung-Chieh Yao, Ren-Hua Chung, Chung-Yen Lin, et al.,, Genetic Loci Determining Total Immunoglobulin E from Birth through Adulthood Identified from Genome-wide Association Study of Asians, Allergy, November 2018, (IF:6.08).
  • 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, 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, 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, January 2018.

Lin, Jen-Chun (林仁俊)

  • 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, 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), July 2018.

Liu, Jing-Sin (劉進興)

  • CS Wu, YZ Chiu and JS Liu, Time-Optimal Trajectory Planning along Parametric Polynomial Lane-Change Curves with Bounded Velocity and Acceleration: Simulations for a Unicycle Based on Numerical Integration, Modelling and Simulation in Engineering, November 2018.
  • Pei-Li Kuo, Chung-Hsun Wang, Han-Jung Chou and Jing-Sin Liu, A Real-Time Hydrodynamic-based Obstacle Avoidance System for Nonholonomic Mobile Robots with Curvature Constraints, Applied Sciences, November 2018.
  • 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)

  • Chao-Ning Liu, Ding-Jie Chen, Hwann-Tzong Chen, and Tyng-Luh Liu, A2A: Attention to Attention Reasoning for Movie Question Answering, 14th Asian Conference on Computer Vision, December 2018, (ACCV).
  • Shou-Yao Tseng, Hwann-Tzong Chen, Shao-Heng Tai, and Tyng-Luh Liu, Non-local RoI for Cross-Object Perception, NeurIPS 2018 Workshop on Relational Representation Learning, December 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, November 2018.
  • 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).

Lu, Chi-Jen (呂及人)

  • Jen-Hou Chou and Chi-Jen Lu, The communication complexity of graphical games on grid graphs, Proceedings of the 14th Conference on Web and Internet Economics 14th Conference on Web and Internet Economics (WINE), December 2018.
  • Chuang-Chieh Lin and Chi-Jen Lu, Efficient mechanisms for peer grading and dueling bandits, Proceedings of the 10th Asian Conference on Machine Learning (ACML), November 2018.

Lu, Chun-Shien (呂俊賢)

  • 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.
  • Sung-Hsien Hsieh, Chun-Shien Lu, and Soo-Chang Pei, Fast Computing Maxima of Circulant Convolution, Digital Signal Processing, August 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, 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, June 2018.
  • 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, April 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, January 2018.

Ma, Wei-Yun (馬偉雲)

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

Shih, Arthur Chun-Chieh (施純傑)

  • C.-C. CHEN, Y.-T. CHANG, W.-H. CHEN, A. C. C. SHIH, Anterior nucleus of paraventricular thalamus (PVA) mediates mechanical hyperalgesia in neuropathic and inflammatory pain models, 48th annual meeting, Neuroscience 2018, November 2018.

Su, Keh-Yih (蘇克毅)

  • Meng-Tse Wu, Yi-Chung Lin, and Keh-Yih Su, Supporting Evidence Retrieval for Answering Yes/No Questions, International Journal of Computational Linguistics and Chinese Language Processing, December 2018, Its brief version also won the best paper award in Rocling-2018..
  • Meng-Tse Wu, Yi-Chung Lin, and Keh-Yih Su, Supporting Evidence Retrieval for Answering Yes/No Questions, Proceedings of ROCLING 2018, October 2018, Best Paper Award.
  • 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)

  • 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.
  • 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.
  • Chin-Yun Yu and Li Su, Multi-layered Cepstrum for Instantaneous Frequency Estimation, IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 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.
  • 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.
  • 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.
  • 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.
  • Hsueh-Wei Liao and Li Su, Monaural source separation using Ramanujan subspace dictionaries, IEEE Sig. Proc. Lett. (SPL), August 2018.
  • 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.
  • 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.
  • 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, April 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.
  • Li Su, Vocal melody extraction using patch-based CNN, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018.

Sung, Ting-Yi (宋定懿)

  • Mehari Muuz Weldemariam, Chia-Li Han , Faezeh Shekari, Reta Birhanu Kitata, Ching-Yu Chuang, Wei-Ting Hsu, Hung-Chih Kuo, Wai-Kok Choong, Ting-Yi Sung, Fu-Chu He, Maxey Ching Ming Chung, Ghasem Hosseini Salekdeh, and Yu-Ju Chen, Subcellular proteome landscape of human embryonic stem cells revealed missing membrane proteins, Journal of Proteome Research, December 2018.
  • Tung-Shing Mamie Lih, Wai-Kok Choong, Yu-Ju Chen, Ting-Yi Sung*, Evaluating the possibility of detecting variants in shotgun proteomics via LeTE-fusion analysis pipeline, Journal of Proteome Research, September 2018.
  • 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.

Tsai, Huai-Kuang (蔡懷寬)

  • Huang, J.H., Kwan, SY. Tsai, T.Y., Lin, T.C., and Tsai, H.K.*, Borders of cis-regulatory DNA sequences preferentially harbor the divergent transcription factor binding motifs in the human genome, Frontiers in Genetics, November 2018.
  • Shiau, C.K., Huang, J.H. and Tsai, H.K.*, CATANA: Comprehensive Alternative Transcript Atlas based oN Annotation, Bioinformatics, September 2018.
  • 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)

  • Yueh Wu and Chien-Ming Wang, Applying Hand Gestures Recognition and Joints Tracking to TV Controller with CNN and Convolutional Pose Machine, Proceeding of the 24th International Conference on Pattern Recognition, Beijing, China, August 2018.
  • Joshua Ho and Chien-Min Wang, TouchWear: Context-Dependent and Self-Learning Personal Speech Assistant for Wearable Systems with Deep Neural Networks, Proceeding of the 4th International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, Barcelona, Spain, July 2018.
  • Yang Syu, Chien-Min Wang, Yong-Yi Fanjiang, A Survey of Time-Aware Dynamic QoS Forecasting Research, Its Future Challenges and Research Directions, Proceedings of the 2018 International Conference on Services Computing, Seattle, USA, June 2018.
  • Yang Syu and Chien-Min Wang, Modeling and Forecasting Http Requests-Based Cloud Workloads Using Autoregressive Artificial Neural Networks, 2018 3rd International Conference on Computer and Communication Systems (ICCCS), April 2018.

Wang, Da-Wei (王大為)

  • Jian, Zong-De and Hsu, Tsan-sheng and Wang, Da-Wei, The Power of Surrogate-Assisted Evolutionary Computing in Searching Vaccination Strategy, International Conference on Simulation and Modeling Methodologies, Technologies and Applications, October 2018.
  • C.C. Chang, M.L. Pan, H.M. Tsao, D.W. Wang and T.-s. Hsu, Labeling Event Relations from Titles of Journal Articles Studying National Health Insurance Research Database in Taiwan, Proceedings of Joint Conference on Medical Informatics in Taiwan and the Hospital Chief Information Officer Summit (JCMIT) 2018 (JCMIT), October 2018, Best paper award; in Chinese.

Wang, Hsin-Min (王新民)

  • 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, November 2018.
  • Hsin-Te Hwang, Yi-Chiao Wu, Syu-Siang Wang, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang, Yih-Ru Wang, and Sin-Horng Chen, Locally Linear Embedding Based Post-filtering for Speech Enhancement, Journal of Information Science and Engineering, November 2018.
  • Hsin-Te Hwang, Yi-Chiao Wu, Yu-Huai Peng, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang, Yih-Ru Wang, and Sin-Horng Chen, Voice Conversion Based on Locally Linear Embedding, Journal of Information Science and Engineering, November 2018.
  • 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, (Best Student Paper Award).
  • 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), November 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).
  • 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, (Student Travel Grant).
  • 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, (Student Travel Grant).
  • 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-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), July 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.
  • 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, April 2018.
  • 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, January 2018.

Wu, Jan-Jan (吳真貞)

  • Ming-Chia Kuo, Pangfeng Liu and Jan-Jan Wu, An Efficient Dynamic Load-Balancing Large Scale Graph-Processing System, International Conference on Network, Communication and Computing, Taipei,Taiwan, December 2018.
  • Ching-Yuan Tsai, Ching-Chi Lin, Pangfeng Liu and Jan-Jan Wu, Computation and Communication Scheduling Optimization for Distributed Deep Learning Systems, IEEE International Conference on Parallel and Distributed Systems, Singapore, December 2018.
  • Sheng-Ping Wang, Pangfeng Liu and Jan-Jan Wu, Communication Usage Optimization of Gradient Sparsification with Aggregation in Deep Learning, International Conference on Network, Communication and Computing, December 2018.
  • Po-Yen Wu, Pangfeng Liu, and Jan-Jan Wu:, Versatile Communication Optimization for Deep Learning by Modularized Parameter Server, 2018 IEEE International Conference on Big Data, Seattle, USA, December 2018.
  • Ching-Chi Lin, Jian-Jia Chen, Pangfeng Liu and Jan-Jan Wu, Energy-efficient Core Allocation and Deployment for Container-based Virtualization, IEEE International Conference on Parallel and Distributed Systems, Singapore, December 2018.
  • Ding-Yong Hong, Jan-Jan Wu, Yu-Ping Liu, Sheng-Yu Fu, Wei-Chung Hsu, Processor-Tracing Guided Region Formation in Dynamic Binary Translation, ACM Transactions on Architecture and Code Optimization (TACO), November 2018.
  • Cing-Fu Jhu, Pangfeng Liu and Jan-Jan Wu, Data Pinning and Back Propagation Memory Optimization for Deep Learning on GPU, International Symposium on Computing and Networking, Takayama, Japan, November 2018, (Outstanding Paper Award).
  • 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), October 2018.
  • 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, Hawaii, USA, October 2018.
  • Sheng-Yu Fu, Chih-Min Lin, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Exploiting SIMD Capability in an ARMv7-to-ARMv8 Dynamic Binary Translator, International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), Turin, Italy, September 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, June 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.
  • 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), Washington DC, USA, May 2018.
  • Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu, Workload Prediction and Balance for Distributed Reachability Processing for Attribute Graphs, Concurrency and Computation: Practice and Experience, March 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.
  • 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), February 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, The 29th International Conference on Concurrency Theory (CONCUR 2018), August 2018.
  • W.-D. Li, M.-S. Chen, P.-C. Kuo, C.-M. Cheng, and B.-Y. Yang, Frobenius Additive Fast Fourier Transform, ISSAC, July 2018.
  • D. J. Bernstein and B.-Y. Yang, Asymptotically faster quantum algorithms to solve multivariate quadratic equations, PQCRYPTO, April 2018.
  • R. Niederhagen, K.-C. Ning and B.-Y. Yang, Implementing Joux-Vitse's Crossbred Algorithm for Solving MQ Systems on GPUs, PQCRYPTO, April 2018.
  • M.-S. Chen, W.-D. Li, B.-Y. Peng, B.-Y. Yang, and C.-M. Cheng, Implementing 128-bit Secure MPKC Signatures, IEICE Transactions, January 2018.

Yang, De-Nian (楊得年)

  • J.-J. Kuo, D.-N. Yang, W.-C. Li, and W. T. Chen, Efficient Multi-View 3D Video Multicast with Mobile Edge Computing, IEEE Global Communications Conference (IEEE GLOBECOM), December 2018.
  • C.-H. Wang, J.-J. Kuo, D.-N. Yang, and W.-T. Chen, Surveillance-Aware Uplink Scheduling for Cellular Networks, IEEE Trans. on Mobile Computing, December 2018.
  • 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%).
  • H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining, IEEE Trans. on Knowledge and Data Engineering, July 2018.
  • 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.
  • 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%).
  • H.-H. Shuai, D.-N. Yang, C.-Y. Shen, P. S. Yu, and M.-S. Chen, QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee, IEEE Trans. on Big Data, March 2018.
  • C.-Y. Shen, K. F. C. Parfait, D.-N. Yang, Y.-S. Chen, and W.-C. Lee, On Organizing Online Soirees with Live Multi-Streaming, AAAI Conference on Artificial Intelligence (AAAI), February 2018, (oral presentation, accepting rate = 11%).
  • J.-T. Lee, D.-N. Yang, Y.-C. Chen, and W. Liao, Efficient Multi-View 3D Video Multicast with Depth-Image-Based Rendering in LTE-Advanced Networks with Carrier Aggregation, IEEE Trans. on Mobile Computing, January 2018.

Yeh, Mi-Yen (葉彌妍)

  • 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, December 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.
  • 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, March 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, January 2018.
  • Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh, Forecasting Participants of Information Diffusion on Social Networks with Its Applications, Information Sciences, January 2018.