中央研究院 資訊科學研究所

研究概況

友善列印

2017 著作目錄

Chang, Yuan-Hao (張原豪)

  • Ming-Chang Yang, Yuan-Hao Chang, Fenggang Wu, Tei-Wei Kuo, and David Hung-Chang Du, Virtual Persistent Cache: Remedy the Long Latency Behavior of Host-Aware Shingled Magnetic Recording Drives, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), November 2017, (Top Conference).
  • Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, and Shau-Yin Tseng, Distillation: A Light-Weight Data Separation Design to Boost Performance of NVDIMM Main Memory, IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), August 2017.
  • Li-Zheng Liang, Ming-Chang Yang, Yuan-Hao Chang, Tseng-Yi Chen, Shuo-Han Chen, Hsin-Wen Wei, and Wei-Kuan, Shih, xB+-Tree: Access-Pattern-Aware Cache-Line-Based Tree for Non-Volatile Main Memory Architecture, IEEE Computer Software and Applications Conference (COMPSAC), July 2017.
  • Tseng-Yi Chen, Yuan-Hao Chang, Yuan-Hung Kuan, and Yu-Ming Chang,, VirtualGC: Enabling Erase-free Garbage Collection to Upgrade the Performance of Rewritable SLC NAND Flash Memory, ACM/IEEE Design Automation Conference (DAC), June 2017, (Top Conference).
  • Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Chih-Ching Kuo, Ming-Chang Yang, Hsin-Wen Wei, and Wei-Kuan Shih, Enabling Write-Reduction Strategy for Journaling File Systems over Byte-addressable NVRAM, ACM/IEEE Design Automation Conference (DAC), June 2017, (Top Conference).
  • Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Nien-I Hsu, Hsin-Wen Wei, and Wei-Kuan Shih, On Space Utilization Enhancement of File Systems for Embedded Storage Systems, ACM Transactions on Embedded Computing Systems (TECS), April 2017.
  • Tseng-Yi Chen, Yuan-Hao Chang, Yuan-Hung Kuan, Ming-Chang Yang, Yu-Ming Chang, and Pi-Cheng Hsiu, A Pattern-aware Write Strategy to Enhance the Reliability of Flash-Memory Storage Systems, ACM Symposium on Applied Computing (SAC), April 2017.
  • Chien-Chung Ho, Yu-Ping Liu, Yuan-Hao Chang, Tei-Wei Kuo, Anti-wear Leveling Design for SSDs with Hybrid ECC Capability, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), February 2017.
  • Yen-Ting Chen, Ming-Chang Yang, Yuan-Hao Chang, Tseng-Yi Chen, Hsin-Wen Wei, and Wei-Kuan Shih, KVFTL: Optimization of Storage Space Utilization for Key-Value-Specific Flash Storage Devices, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2017.

Chen, Chu-Song (陳祝嵩)

  • Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen, Aesthetic Critiques Generation for Photos, International Conference on Computer Vision, ICCV 2017, October 2017.
  • Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung, Recognizing Human Actions with Outlier Frames by Observation Filtering and Completion, ACM Transactions on Multimedia Computing, Communications and Applications, July 2017.
  • Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung, Learning and Inferring Human Actions with Temporal Pyramid Features Based on Conditional Random Fields, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, March 2017.
  • Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu-Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung, Vision-Based Positioning for Internet-of-Vehicles, IEEE Transactions on Intelligent Transportation Systems, February 2017.

Chen, Ling-Jyh (陳伶志)

  • Sachit Mahajan, Hao-Min Liu, Tzu-Yu Huang, Tzu-Chieh Tsai, and Ling-Jyh Chen, Opportunistic PM2.5 Sensing: A Feasibility Study, IEEE Globecom, December 2017.
  • Ting-Hui Chiang, Ling-Jyh Chen, and Yu-Chee Tseng, Sensor Calibration for Floor Detection by D2D Communications, IEEE 86th Vehicular Technology Conference (VTC-Fall'17), September 2017.
  • Sachit Mahajan, Hao-Min Liu, Ling-Jyh Chen, and Tzu-Chieh Tsai, A Machine Learning based PM2.5 Forecasting Framework using Internet of Environmental Things, EAI International Conference on IoT as a Service, Taichung, Taiwan, September 2017.
  • Sachit Mahajan, Ling-Jyh Chen, and Tzu-Chieh Tsai, An Empirical Study of PM2.5 Forecasting Using Neural Network, IEEE Smart World Congress, San Francisco, CA, USA, August 2017.
  • Ling-Jyh Chen, Yao-Hua Ho, Hu-Cheng Lee, Hsuan-Cho Wu, Hao-Min Liu, Hsin-Hung Hsieh, Yu-Te Huang, and Shih-Chun Candice Lung, An Open Framework for Participatory PM2.5 Monitoring in Smart Cities, IEEE Access, July 2017.
  • Yen-Kai Cheng, Ronald Y. Chang, and Ling-Jyh Chen, A Comparative Study of Machine-Learning Indoor Localization Using FM and DVB-T Signals in Real Testbed Environments, IEEE 85th Vehicular Technology Conference (VTC-Spring'17), Sydney, Australia, June 2017.
  • Wei-Tung Chen and Ling-Jyh Chen, Pokeball: a 3D positioning system using magnetism, IEEE International Conference on Internet of Things (iThings'17), Exeter, UK, June 2017.
  • Hao-Min Liu, Hsuan-Cho Wu, Hu-Chen Lee, Yao-Hua Ho, and Ling-Jyh Chen, A System Calibration Model for Mobile PM2.5 Sensing Using Low-Cost Sensors, IEEE International Conference on Internet of Things (iThings'17), Exeter, UK, June 2017.
  • Sachit Mahajan, Ling-Jyh Chen, and Tzu-Chieh Tsai, SwapItUp: A Face Swap Application for Privacy Protection, IEEE International Conference on Advanced Information Networking and Applications (AINA'17), Taipei, Taiwan, March 2017.
  • Ting-Hui Chiang, Yi-Ta Chuang, Chia-Liang Ke, Ling-Jyh Chen, and Yu-Chee Tseng, Calorie Map: An Activity Monitoring and Intensity Estimation System based on Wireless Signal, IEEE Wireless Communications and Networking Conference (WCNC'17), San Francisco, CA, USA, March 2017.

Chen, Meng Chang (陳孟彰)

  • Tzu Chi Yang, Sherry Chen, Meng Cahng Chen, An investigation of the influence of drug addiction on learning behaviors in a Game-Based Learning environment, 17th IEEE International Conference on Advanced Learning Technologies (ICALT 2017), July 2017.
  • Tzu-Chi Yang, Meng Chang Chen and Yeali S. Sun, An investigation of the influence of drug addiction on learning behaviors in a Game-Based Learning environment, 17th IEEE International Conference on Advanced Learning Technologies (ICALT 2017), July 2017.

Chen, Sheng-Wei (陳昇瑋)

  • Chih-Fan Hsu and Anthony Chen and Cheng-Hsin Hsu and Chun-Ying Huang and Chin-Laung Lei and Kuan-Ta Chen, Is Foveated Rendering Perceivable to VR Users? A Study on the Efficiency and Consistency of Subjective Assessment Methods, Proceedings of ACM Multimedia 2017, October 2017.
  • Kunwoo Park, Meeyoung Cha, Haewoon Kwak, and Kuan-Ta Chen, Achievement and Friends: Key Factors of Player Retention Vary Across Player Levels in Online Multiplayer Games, Proceedings of ACM WWW 2017, April 2017.

Chen, Wen-Tsuen (陳文村)

  • Che-Yuan Hu, Yung-Shun Wang, Y.-W. Peter Hong, and W. T. Chen, MMSE Hybrid Beamforming for Weighted Sum Rate Maximization in NOMA Systems, Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM 2017), Singapore, December 2017.
  • Chun-I Fan, Jun-Cheng Chen, Jheng-Jia Huang, Shi-Yuan Huang, and W. T. Chen, Provably Secure Timed-Release Proxy Conditional Re-Encryption, IEEE Systems Journal, December 2017.
  • Ching-Chan Wu, Shan-Hung Wu, and W. T. Chen, On Low-Overhead and Stable Data Transmission between Channel-Hopping Cognitive Radios, IEEE Transactions on Mobile Computing, September 2017.
  • Lan-Jie Shi, Yung-Shun Wang, Y.-W. Peter Hong, and W. T. Chen, Coordinated Beamforming and Power Allocation for Multicell NOMA Systems, Proceedings of 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017), Sapporo, Japan, July 2017.
  • Jian-Jhih Kuo, Shan-Hsiang Shen, Ming-Hong Yang, De-Nian Yang, Ming-Jer Tsai, and W. T. Chen, Service Overlay Forest Embedding for Software-Defined Cloud Networks, Proceedings of the 37th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2017), Atlanta, Georgia, USA, June 2017.
  • Yi-Hui Lin, Jian-Jhih Kuo, De-Nian Yang, and W. T. Chen, A Cost-Effective Shuffling-Based Defense against HTTP DDoS Attacks with SDN/NFV, Proceedings of IEEE International Conference on Communications (IEEE ICC 2017), Paris, France, May 2017.
  • Chi-Han Lin, Yi-Ting Chen, Kate Ching-Ju Lin, and W. T. Chen, acPad: Enhancing Channel Utilization for 802.11ac Using Packet Padding, Proceedings of IEEE Conference on Computer Communications (IEEE INFOCOM 2017), Atlanta, Georgia, USA, May 2017.
  • Jian-Jhih Kuo, Shan-Hsiang Shen, Hong-Yu Kang, Ming-Jer Tsai, De-Nian Yang, and W. T. Chen, Service Chain Embedding with Maximum Flow in Software Defined Network and Application to the Next-Generation Cellular Network Architecture, Proceedings of IEEE Conference on Computer Communications (IEEE INFOCOM 2017), Atlanta, Georgia, USA, May 2017.
  • Shang-Hong Hsu, Chih-Han Lin, Chih-Yu Wang, and W. T. Chen, Minimizing Upload Latency for Critical Tasks in Cellular-based IoT Networks using Multiple Relays, Proceedings of International Conference on Communications (IEEE ICC 2017), Paris, France, May 2017.
  • Chi-Han Lin, Kate Ching-Ju Lin, and W. T. Chen, Channel-Aware Polling-based MAC Protocol for Body Area Networks: Design and Analysis, IEEE Sensors Journal, May 2017.
  • Bying-He Ku, Yi Ren, Jyh-Cheng Chen, Jeng-Feng Weng, and W. T. Chen, Modeling and Analysis of Channel Holding Time and Handoff Rate for Packet Sessions in All-IP Cellular Networks, IEEE Transactions on Vehicular Technology, April 2017.

Chen, Yu-Fang (陳郁方)

  • Y-F. Chen, C.-D. Hong, P. Rümmer, A. Lin, Learning to Prove Safety over Parameterised Concurrent Systems, Formal Methods in Computer-Aided Design (FMCAD 2017), October 2017.
  • Y.-F. Chen, O. Lengál, T. Tan, Z. Wu, Register Automata with Linear Arithmetic, Logic in Computer Science (LICS 2017), June 2017.
  • P. A. Abdulla, M. F. Atig, Y.-F. Chen, B. P. Diep, L. Holík, A. Rezine, P. Rümmer, Flatten and Conquer: a Framework for Efficient Analysis of String Constraints, Programming Language Design and Implementation (PLDI 2017), June 2017.
  • Y.-F. Chen, C.-D. Hong, O. Lengal, S.-C. Mu, N. Sinha, B.-Y. Wang, An Executable Sequential Specification for Spark Aggregation, Networked Systems (NETYS 2017), May 2017.
  • Y. Li, Y.-F. Chen, L. Zhang, D. Liu, A Novel Learning Algorithm for Büchi Automata Based on Family of DFAs and Classification Trees, Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2017), April 2017.

Chuang, Tyng-Ruey (莊庭瑞)

  • 莊庭瑞, 全面換發晶片身分證?歷史共業下的台灣戶籍制度, 民主視野, December 2017.
  • 莊庭瑞、曾沅芷, 當代事件之記憶: 318 公民運動文物紀錄典藏庫之建立, 檔案半年刊, December 2017.
  • Ting-Yan Lai, Tyng-Ruey Chuang, and Shin-Cheng Mu, Type safe Redis queries -- a case study of type-level programming in Haskell, 2nd Workshop on Type-Driven Development (TyDe 2017), September 2017.
  • Tyng-Ruey Chuang, Remembrance of contemporary events: On setting up the Sunflower Movement archive, Digital Humanities 2017: Access, August 2017.
  • 黃韋菁、李承錱、莊庭瑞, 結構資料的再次使用:語意、連結與實作, 圖書館學與資訊科學, April 2017.

Chung, Kai-Min (鐘楷閔)

  • Per Austrin, Kai-Min Chung, Mohammad Mahmoody, Rafael Pass and Karn Seth, On the Impossibility of Cryptography with Tamperable Randomness, Algorithmica, December 2017.
  • T-H. Hubert Chan, Kai-Min Chung, Elaine Shi, On the Depth of Oblivious Parallel RAM, The 23rd Annual International Conference on the Theory and Applications of Cryptology and Information Security (ASIACRYPT 2017), December 2017.
  • Yi-Hsiu Chen, Kai-Min Chung, Ching-Yi Lai, Salil Vadhan and Xiaodi Wu, Computational Notions of Quantum Min-Entropy, The 7th International Conference on Quantum Cryptography (QCrypt 2017), September 2017.
  • Kai-Min Chung, Seth Pettie, and Hsin-Hao Su, Distributed algorithms for the Lovász local lemma and graph coloring, Distributed Computing, August 2017.
  • Kai-Min Chung, Yaoyun Shi and Xiaodi Wu, General Randomness Amplification with Non-signaling Security, The 20th Annual Conference on Quantum Information Processing (QIP2017), January 2017.

Ho, Jan-Ming (何建明)

  • Chia-Hsiang Chang, Wei-Chen Liou, William W.Y. Hsu, Jen-Ying Shih, Chung-Su Wu, and Jan-Ming Ho, An Innovative Framework for Building Agency-free Credit Rating Systems, IEEE International Conference on SOCA 2017, November 2017.
  • 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 2017.
  • Ray-I Chang, Hung-Min Hsu, Shu-Yu Lin, Chu-Chun Chang, Jan-Ming Ho, Query-Based Learning for Dynamic Particle Swarm Optimization, IEEE Access, April 2017.
  • Hung-Min Hsu, Ray-I Chang, Jan-Ming Ho, Query-Based-Learning Genetic Algorithm to Construct Mobile-Oriented Catalogs in M-commerce, IEEE Access, April 2017.

Hong, Ding-Yong (洪鼎詠)

  • Yu-Ping Liu, Ding-Yong Hong, Jan-Jan Wu, Sheng-Yu Fu, Wei-Chung Hsu, Exploiting Asymmetric SIMD Register Configurations in ARM-to-x86 Dynamic Binary Translation, The 26th International Conference on Parallel Architectures and Compilation Techniques (PACT), Portland, Oregon, USA, September 2017, This is the first Taiwan paper accepted by PACT..
  • Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Dynamic Translation of Structured Loads/Stores and Register Mapping for Architectures with SIMD Extensions, ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems, Barcelona, Spain, June 2017, acceptance rate 25%.

Hsu, Tsan-sheng (徐讚昇)

  • Hung-Jui Chang, Gang-Yu Fan, Jr-Chang Chen, Chih-Wen Hsueh and Tsan-sheng Hsu, Validating and Fine-tuning of Game Evaluating Functions using Endgame databases, Proceedings of the 2017 International Joint Conference on Artificial Intelligence (IJCAI), Computer Games Workshop, August 2017.
  • Zong-De Jian, Hung-Jui Chang, Tsan-sheng Hsu and Da-Wei Wang, Learning from Simulated World - Surrogates Construction with Deep Neural Network, Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), July 2017, Best paper award.
  • Tsan-sheng Hsu, Shun-Chin Hsu, Jr-Chang Chen, Yi-Ting Chiang, No-Nian Chen, Yun-Ching Liu, Hung-Jui Chang, Sue-Chen Tsai, Ting-Yu Lin and Gang-Yu Fan, Computers and Classical Boad Games An Introduction (電腦對局導論), June 2017, 389 pages, ISBN: 978-986-350-237-1.
  • Shuo-Han Chen, Chi-Heng Lee, Tseng-Yi Chen, Hsin-Wen Wei, Tsan-sheng Hsu and Wei-Kuan Shih, Analysis and improvement of the 3-star algorithm for the STP-MSP problem in Wireless Sensor Networks, Proceedings of the 2017 International Conference on Computing, Networking and Communications (ICNC), January 2017.

Hsu, Wen-Lian (許聞廉)

  • Hui-Yin Chang, Ching-Tai Chen, Chu-Ling Ko, Yi-Ju Chen, Yu-Ju Chen, Wen-Lian Hsu, Chiun-Gung Juo, Ting-Yi Sung, iTop-Q: an intelligent tool for top-down proteomics quantita-tion using DYAMOND algorithm, Analytical Chemistry, December 2017, DOI: 10.1021/acs.analchem.7b02343.
  • Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, and Wen-Lian Hsu, A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization, ACM Transactions on Asian and Low-Resource Language Information Processing, August 2017.
  • Hsin-Nan Lin and Wen-Lian Hsu, Kart: a divide-and-conquer algorithm for NGS read alignment, Bioinformatics, August 2017.
  • Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen and Wen-Lian Hsu, FISER: A Feature-based Detection System for Topic Person Interactions, Computational Intelligence, May 2017.
  • Yung-Chun Chang, Cheng-Wei Shih, Wen-Lian Hsu, Entailment-based Intelligent Agent for Software Project Monitoring and Control, IEEE Systems Journal, March 2017.
  • Nai-Wen Chang, Hong-Jie Dai, Yung-Yu Shih, Chi-Yang Wu, Mira Anne C Dela Rosa, Rofeamor P Obena, Yu-Ju Chen, Wen-Lian Hsu, Yen-Jen Oyang, Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy, Database (Oxford), January 2017.

Hwang, Wen-Liang (黃文良)

  • Shih-Shuo Tung, Hao-Chiang Shao, Wen-Liang Hwang, Extending Depth of Field in Noisy Light Field Photography, IEEE International Conference on Awareness Science and Technology(iCAST 2017), November 2017, Best Paper Award of iCAST2017.
  • Hao-Chiang Shao and Wen-Liang Hwang, Deriving 3D Shape Properties by Using Backward Wavelet Remesher, IEEE GlobalSIP, November 2017.
  • Shih-Shuo Tung and Wen-Liang Hwang, Multiple depth layers and all-in-focus image generations by blurring and deblurring operations, Pattern Recognition, September 2017.
  • Chia-Chen Lee ; Wen-Liang Hwang, Mixture of Gaussian Blur Kernel Representation for Blind Image Restoration, IEEE Transactions on Computational Imaging, May 2017.

Ku, Lun-Wei (古倫維)

  • Szu-Min Chen, Zi-Yuan Chen and Lun-Wei Ku, Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis, Shared Task on the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), December 2017.
  • Wei-Chung Wang and Lun-Wei Ku, Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic, Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), December 2017.
  • Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Huang, Yi-Pei Chen, Hung-Chen Chen and Lun-Wei Ku, MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions, Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), September 2017.
  • Wei-Fan Chen, Yi-Pei Chen and Lun-Wei Ku, How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement, Proceedings of the 19th International Conference on Human-Computer Interaction (HCII 2017), July 2017.
  • Chieh-Yang Huang, Mei-Hua Chen and Lun-Wei Ku, Towards a Better Learning of Near-Synonyms: Automatically Suggesting Example Sentences via Filling in the Blank, Digital Learning Track on the 26th International World Wide Web Conference (WWW 2017), April 2017.
  • Chieh-Yang Huang, Ting-Hao (Kenneth) Huang and Lun-Wei Ku, Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications, Proceedings of the Association for the Advancement of Artificial Intelligence Spring Symposia (AAAI Symposium Series 2017), March 2017.

Lee, Der- Tsai (李德財)

  • Jia-Yau Shiao, Mong-Jen Kao, Ching-Chi Lin, and D. T. Lee, Tight Approximation for Partial Vertex Cover with Hard Capacities, Proceedings, 28th International Symposium on Algorithms and Computation, Dec. 9-12, 2017, Phuket, Thailand, Dagstuhl, Germany, December 2017, LIPIcs, ISBN 978-3-95977-054-5, doi: 10.4230/LIPIcs.ISAAC.2017.64.

Liao, Mark (廖弘源)

  • Jen-Chun Lin, Wen-Li Wei, James Yang, Hsin-Min Wang, and Hong-Yuan Mark Liao, Automatic Music Video Generation Based on Simultaneous Soundtrack Recommendation and Video Editing, ACM Multimedia (MM), October 2017.
  • T.Y. Tsai, Y. Y. Lin, H.Y. Mark Liao, and S. K. Jeng, Recognizing Offensive Tactics in Broadcast Basketball Videos via Key Player Detection, IEEE International Conference on Image Processing, September 2017.
  • M. Srinivas, Y. Y. Lin, and H. Y. Mark Liao, Deep Dictionary Learning for Fine-Grained Image Classification, IEEE International Conference on Image Processing, September 2017.
  • M. Srinivas, Y. Y. Lin, and H. Y. Mark Liao, Learning deep and sparse feature representation for fine-grained recognition, IEEE International Conference on Multimedia and Exposition, July 2017.
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, Deep-Net Fusion to Classify Shots in Concert Videos, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.

Liau, Churn-Jung (廖純中)

  • T.F. Fan and C.J. Liau, A logic for reasoning about evidence and belief, 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI), August 2017.
  • C.P. Su, T.F. Fan, and C.J. Liau, Possibilistic justification logic: Reasoning about justified uncertain beliefs., ACM Transactions on Computational Logic, August 2017.
  • T.F. Fan and C.J. Liau, Doxastic reasoning with multi-source justifications based on second order propositional modal logic, Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017), São Paulo, Brazil, May 2017.
  • Y.R. Syau, E.B. Lin, and C.J. Liau:, Neighborhood systems and variable precision generalized rough sets, Fundamenta Informaticae, May 2017.

Lin, Chung-Yen (林仲彥)

  • Hangfei Qi, Virginia Chu, Nicholas C. Wu, Zugen Chen, Shawna Truong, Gurpreet Brar, Sheng-Yao Su, Yushen Du, Vaithilingaraja Arumugaswami, C. Anders Olson, Shu-Hua Chen, Chung-Yen Lin, Ting-Ting Wu, and Ren Sun, Systematic identification of anti-interferon function on hepatitis C virus genome reveals p7 as an immune evasion protein, Proceedings of the National Academy of Sciences of the United States of America (PNAS), February 2017, Collaboration with team in UCLA, doi: 10.1073/pnas.1614623114.

Lin, Jen-Chun (林仁俊)

  • Jen-Chun Lin, Wen-Li Wei, James Yang, Hsin-Min Wang, and Hong-Yuan Mark Liao, Automatic Music Video Generation Based on Simultaneous Soundtrack Recommendation and Video Editing, ACM Multimedia (MM), October 2017.
  • Wen-Li Wei, Jen-Chun Lin, and Chung-Hsien Wu, Interaction Style Recognition Based on Multi-layer Multi-view Profile Representation, IEEE Transactions on Affective Computing, April 2017.
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, Deep-Net Fusion to Classify Shots in Concert Videos, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.

Liu, Jing-Sin (劉進興)

  • Chi-Wen Lo, Kun-Lin Wu, Chia-Wei Lin and Jing-Sin Liu, Reactive human-aware wall following for indoor mobile robot, December 2017.
  • Chien-Sheng Wu, Zih-Yun Chiu and Jing-Sin Liu, Simulations for Time-Optimal Trajectory Planning along Parametric Polynomial Lane-Change Curves for a Unicycle, 2017 IEEE International Conference on Robotics and Biomimetics, Macau SAR, China, December 2017.
  • PL Kuo, HJ Chou, CH Wang and JS Liu, Streamline-based Obstacle Avoidance for Mobile Robot with Curvature Constraints, 2017 International Conference on Advanced Mechatronic Systems (ICAMechS 2017), Xiamen, China, Dec. 2017., December 2017.
  • HJ Chou, PL Kuo and JS Liu, Numerical streamline path planning based on log-space harmonic potential function: a simulation study, 2017 IEEE International Conference on Real-time Computing and Robotics, Okinawa , Japan, July 2017, July 2017.
  • PL Kuo, CH Wang, HJ Chou and JS Liu, A Real-Time Streamline-based Obstacle Avoidance System for Curvature-Constrained Nonholonomic Robots, The 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP), Taipei, Taiwan, May 2017.

Liu, Tyng-Luh (劉庭祿)

  • Tyng-Luh Liu, Guided Co-training for Large-Scale Multi-View Spectral Clustering, arXiv:1707.09866, July 2017.
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, Deep-Net Fusion to Classify Shots in Concert Videos, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.

Lu, Chi-Jen (呂及人)

  • Chen-Yu Wei, Yi-Te Hong, and Chi-Jen Lu, Online Reinforcement Learning in Stochastic Games, Proceedings of the 31st Annual Conference on Neural Information Processing Systems (NIPS), December 2017.
  • Po-An Wang and Chi-Jen Lu, Tensor Decomposition via Simultaneous Power Iteration, Proceedings of the 34st International Conference on Machine Learning (ICML), August 2017.

Lu, Chun-Shien (呂俊賢)

  • Yao-Tung Tsou, Chun-Shien Lu, and Sy-Yen Kuo, SER: Secure and Efficient Retrieval for Anonymous Range Query in Wireless Sensor Networks, Computer Communications, August 2017.
  • Wei-Jie, Liang, Tsung-Hsun Chien, and Chun-Shien Lu, Theoretical stopping criteria guided Greedy Algorithm for Compressive Cooperative Spectrum Sensing, Computer Communications, August 2017.
  • Sung-Hsien Hsieh, Wei-Jie, Liang, Chun-Shien Lu, and Soo-Chang Pei, Distributed Compressive Sensing: Performance Analysis with Diverse Signal Ensembles, European Signal Processing Conference (EUSIPCO), August 2017.
  • Shih-Wei Hu, Sung-Hsien Hsieh, Gang-Xuan Lin, and Chun-Shien Lu, An iterative Convex Optimization Solver with Side Information for Joint-Sparse Signal Recovery, SPARS, June 2017.
  • Wei-Jie, Liang, Gang-Xuan Lin, and Chun-Shien Lu, Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-Scale Images, IEEE Trans. on Image Processing, February 2017.

Ma, Wei-Yun (馬偉雲)

  • Shu-Ling Huang, Keh-Jiann Chen, Wei-Yun Ma, Su-Chu Lin, Yu-Ming Hsieh, Semantic Relation Identification for Consecutive Predicative Constituents in Chinese, Lingua Sinica, December 2017, DOI 10.1186/s40655-017-0028-1.
  • Chi-Yen Chen, Wei-Yun Ma, Embedding Wikipedia Title Based on Its Wikipedia Text and Categories, International Conference on Asian Language Processing, December 2017, (received Best Paper, Top1 out of 96 accepted papers).
  • Peng-Hsuan Li, Wei-Yun Ma, Hsin-Yang Wang, CKIP Valence-Arousal Predictor for the DSAP Shared Task, International Conference on IJCNLP Shared Tasks, November 2017, (Top 1 on arousal scores and Top 3 on total scores out of 13 international teams).
  • Yu-Sheng Li, Chien-Hui Tseng, Chian-Yun Huang, Wei-Yun Ma, Guess What: A Question Answering Game via On-demand Knowledge Validation, International Conference on IJCNLP Demo Track, November 2017.
  • Peng-Hsuan Li, Ruo-Ping Dong, Yu-SiangWang, Ju-Chieh Chou, Wei-Yun Ma, Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks, International Conference on EMNLP, September 2017.
  • Peng-Yu Chen, Yi-Hui Lee, Yueh-Han Wu, Wei-Yun Ma, IExM: Information Extraction System for Movies, WWW 2017 Demo Track (receive Best Demo - Special Mention Award), April 2017.
  • Hsin-Yang Wang, Wei-Yun Ma, Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content Measurement, International Conference on EACL, April 2017.
  • Jheng-Long Wu, Wei-Yun Ma, A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network, IEEE International Conference on Semantic Computing, January 2017.

Mu, Shin-Cheng (穆信成)

  • Ting-Yan Lai, Tyng-Ruey Chuang, and Shin-Cheng Mu, Type safe Redis queries -- a case study of type-level programming in Haskell, 2nd Workshop on Type-Driven Development (TyDe 2017), September 2017.
  • Yu-Fang Chen, Chih-Duo Hong, Ondřej Lengál, Shin-Cheng Mu, Nishant Sinha, and Bow-Yaw Wang, An executable sequential specification for Spark aggregation, International Conference on Networked Systems (NETYS), May 2017.

Shih, Arthur Chun-Chieh (施純傑)

  • Yao-Ming Chang, Li Ling, Ya-Ting Chang, Yu-Wang Chang, Wen-Hsiung Li, Arthur Chun-Chieh Shih*, and Chien-Chang Chen*, Three TF Co-expression Modules Regulate Pressure-Overload Cardiac Hypertrophy in Male Mice, Scientific Reports, August 2017, *: corresponding authors.
  • Yao-Ming Chang, Ling Li, Ya-Ting Chang, Wen-Hsiung Li, Arthur Chun-Chieh Shih, and Chien-Chang Chen, Systematic Analysis of Dynamic Roles of TFs and MicroRNAs in Pressure Overload Cardiac Hypertrophy, the International Society for Computational Biology (ISCB) together with the European Conference on Computational Biology (ECCB) 2017, July 2017.

Su, Keh-Yih (蘇克毅)

  • Hsin-Wei Yu, Chia-Hung Huang, and Keh-Yih Su, Answering Yes/No Questions with a Decomposable Attention Model, Proceedings of TAAI 2017, December 2017.
  • Chao-Chun Liang ,Yu-Shiang Wong ,Yi-Chung Lin and Keh-Yih Su, A Goal-Oriented Meaning-based Statistical Multi-Step Math Word Problem Solver with Understanding, Reasoning and Explanation, Proceedings of IJCAI 2017, Melbourne, Australia, August 2017, System Demonstration..

Su, Li (蘇黎)

  • Li Su, Between Homomorphic Signal Processing and Deep Neural Networks: Constructing Deep Algorithms for Polyphonic Music Transcription, Proc. Asia Pacific Signal and Infor. Proc. Asso. Annual Summit and Conf. (APSIPA ASC), December 2017, (Poster presentation award).
  • Jia-Ling Syue, Li Su, Yi-Ju Lin, Yen-Kuang Lu, Yu-Lin Wang and Alvin W. Y. Su, Accurate audio-to-score alignment for expressive violin recordings, International Society of Music Information Retrieval Conference (ISMIR), October 2017.
  • Chi-Ching Shih, Pei-Ching Li, Yi-Ju Lin, Alvin W. Y. Su, Li Su and Yi-Hsuan Yang, Analysis and synthesis of the violin playing styles of D. Oistrakh and J. Heifetz, Int. Conf. Digital Audio Effects (DAFx), September 2017.
  • Chih-Yi Kuan, Li Su, Yu-Hao Chin, Jia-Ching Wang, Multi-pitch Streaming of interwoven streams, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2017.
  • Shih-Yang Su, Cheng-Kai Chiu, Li Su, and Yi-Hsuan Yang, Automatic conversion of pop music into chiptunes for 8-bit pixel art, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2017.
  • Lufei Gao, Li Su, Yi-Hsuan Yang, and Tan Lee, Polyphonic piano note transcription with non-negative matrix factorization of differential spectrogram, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2017.
  • Li Su and Hau-tieng Wu, Extract Fetal ECG from Single-Lead Abdominal ECG by De-Shape Short Time Fourier Transform and Nonlocal Median, Frontiers in Applied Mathematics and Statistics, February 2017.

Sung, Ting-Yi (宋定懿)

  • Wai-Kok Choong, T. Mamie Lih, Yu-Ju Chen, Ting-Yi Sung, Decoding the effect of isobaric substitutions on identifying missing proteins and variant peptides in human proteome, Journal of Proteome Research, December 2017.
  • Hui-Yin Chang, Ching-Tai Chen, Chu-Ling Ko, Yi-Ju Chen, Yu-Ju Chen, Wen-Lian Hsu, Chiun-Gung Juo, Ting-Yi Sung, iTop-Q: an intelligent tool for top-down proteomics quantita-tion using DYAMOND algorithm, Analytical Chemistry, December 2017, DOI: 10.1021/acs.analchem.7b02343.
  • Ching-Tai Chen, Cheng-Wei Cheng, Wei-Jhe Hsu, Hui-Yin Chang, Chu-Ling Ko, T. Mamie Lih, Yi-Ju Chen, Yu-Ju Chen, Wen-Lian Hsu, Ting-Yi Sung, Multi-Q 2: automated and robust isobaric labeling quantitation analysis with enhanced graphical visualization of protein ratio clustering, 65th ASMS Conference on Mass Spectrometry and Allied Topics, June 2017.
  • Cheng-Wei Cheng, Wen-Lian Hsu, Ting-Yi Sung, Automated identification of intact N-linked glycoproteins with multiple protein search engines, 65th ASMS Conference on Mass Spectrometry and Allied Topics, June 2017.
  • Yi-Ting Wang, Szu-Hua Pan, Chia-Feng Tsai, Ting-Chun Kuo, Yuan-Ling Hsu, Hsin-Yung Yen, Wai-Kok Choong, Hsin-Yi Wu, Yen-Chen Liao, Tse-Ming Hong, Ting-Yi Sung, Pan-Chyr Yang, and Yu-Ju Chen, Phosphoproteomics reveals HMGA1, a CK2 substrate, as a drug-resistant target in non-small cell lung cancer, Scientific Reports, March 2017.

Tsai, Huai-Kuang (蔡懷寬)

  • Liu, W.H., Tsai, Z. T., and Tsai, H. K.*, Comparative genomic analyses highlight the contribution of pseudogenized protein-coding genes to human lincRNAs, BMC Genomics, October 2017.
  • Ng, I.M. , Huang, J.H., Tsai, S.C., and Tsai, H.K.*, IsoPlot: a database for comparison of mRNA isoform variations in the fruit fly and mosquitoes, Database, August 2017.

Wang, Chien-Min (王建民)

  • Hsiang-Huang Wu and Chien-Min Wang, Generalization of Large-Scale Data Processing in one MapReduce job for Coarse-Grained Parallelism, International Journal of Parallel Programming, August 2017.
  • Chu I Chao, Chien-Min Wang, Hsuan-Chi Kuo, Liang-Chi Tseng, Shih-Kai Lin, Yu-Ju Tsai, Ching-Chi Lin and Da-Fang Chang, Live Room Merger: A Real-Time Augmented Reality System for Merging Two Room Scenes, Proceedings of the 19th ACM Virtual Reality International Conference, Laval, France, March 2017.

Wang, Da-Wei (王大為)

  • Wu, Chien Hua and Chiu, Ruey Kei and Yeh, Hong Mo and Wang, Da Wei, Implementation of a cloud-based electronic medical record exchange system in compliance with the integrating healthcare enterprise’s cross-enterprise document sharing integration profile, International Journal of Medical Informatics, September 2017.
  • Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan, Balancing geo-privacy and spatial patterns in epidemiological studies, Geospatial Health, August 2017.
  • Hsiao-Mei Tsao, Chi-Ming Chang, Jen-Hsiang Chuang, Ding-Ping Liu, Mei-Lien Pan, Da-Wei Wang, Toward Automatic Reporting of Infectious Diseases, Studies in Health Technology and Informatics, August 2017.
  • Zong-De Jian, Hung-Jui Chang, Tsan-sheng Hsu and Da-Wei Wang, Learning from Simulated World - Surrogates Construction with Deep Neural Network, Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), July 2017, Best paper award.

Wang, Hsin-Min (王新民)

  • Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong and Hsin-Min Wang, Personality Trait Perception from Speech Signals Using Multiresolution Analysis and Convolutional Neural Networks, APSIPA Annual Summit and Conference (APSIPA ASC 2017), December 2017.
  • Tien-Hong Lo, Ying-Wen Chen, Kuan-Yu Chen, Hsin-Min Wang and Berlin Chen, On the Use of Neural Network Modeling Techniques for Spoken Document Retrieval, International Journal of Computational Linguistics and Chinese Language Processing, December 2017, (in Chinese).
  • Tien-Hong Lo, Ying-Wen Chen, Kuan-Yu Chen, Hsin-Min Wang, and Berlin Chen, Neural Relevance-Aware Query Modeling for Spoken Document Retrieval, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2017), December 2017.
  • Chia-Lung Wu, Hsiang-Ping Hsu, Yu-Ding Lu, Yu Tsao, Hung-Shin Lee and Hsin-Min Wang, A Replay Spoofing Detection System Based on Discriminative Autoencoders, International Journal of Computational Linguistics and Chinese Language Processing, December 2017, (in Chinese).
  • Yu-Huai Peng, Chin-Cheng Hsu, Yi-Chiao Wu, Hsin-Te Hwang, Yi-Wen Liu, Yu Tsao, and Hsin-Min Wang, Fast Locally Linear Embedding Algorithm for Exemplar-based Voice Conversion, APSIPA Annual Summit and Conference (APSIPA ASC 2017), December 2017, (Best Poster Presentation Award).
  • Jen-Chun Lin, Wen-Li Wei, James Yang, Hsin-Min Wang, and Hong-Yuan Mark Liao, Automatic Music Video Generation Based on Simultaneous Soundtrack Recommendation and Video Editing, ACM Multimedia (MM), October 2017.
  • Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Yu Tsao, and Hsin-Min Wang, A Post-filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement, Interspeech2017, August 2017.
  • Ming-Han Yang, Hung-Shin Lee, Yu-Ding Lu, Kuan-Yu Chen, Yu Tsao, Berlin Chen, and Hsin-Min Wang, Discriminative Autoencoders for Acoustic Modeling, Interspeech2017, August 2017.
  • Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, and Hsin-Min Wang, Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks, Interspeech2017, August 2017.
  • Chia-Lung Wu, Hsiang-Ping Hsu, Syu-Siang Wang, Jeih-Weih Hung, Ying-Hui Lai, Hsin-Min Wang, and Yu Tsao, Wavelet Speech Enhancement Based on Robust Principal Component Analysis, Interspeech2017, August 2017.
  • Ying-Wen Chen, Kuan-Yu Chen, Hsin-Min Wang, and Berlin Chen, Exploring the Use of Significant Words Language Modeling for Spoken Document Retrieval, Interspeech2017, August 2017.
  • Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, and Wen-Lian Hsu, A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization, ACM Transactions on Asian and Low-Resource Language Information Processing, August 2017.
  • Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen, and Hsin-Min Wang, A Locality-Preserving Essence Vector Modeling Framework for Spoken Document Retrieval, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), March 2017.
  • Po-Yuan Shih, Chia-Ping Chen, and Hsin-Min Wang, Speech Emotion Recognition with Skew-Robust Neural Networks, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), March 2017.
  • Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang, Chin-Cheng Hsu, Ying-Hui Lai, Yu Tsao, and Hsin-Min Wang, A Locally Linear Embbeding Based Postfiltering Approach for Speech Enhancement, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), March 2017.
  • Shih-Hung Liu, Kuan-Yu Chen, Berlin Chen, Hsin-Min Wang, and Wen-Lian Hsu, Leveraging Manifold Learning for Extractive Broadcast News Summarization, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), March 2017.
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, Deep-Net Fusion to Classify Shots in Concert Videos, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.
  • Hung-Shin Lee, Yu-Ding Lu, Chin-Cheng Hsu, Yu Tsao, Hsin-Min Wang, and Shyh-Kang Jeng, Discriminative Autoencoders for Speaker Verification, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), March 2017.

Wu, Jan-Jan (吳真貞)

  • Yi-Lin Cheng, Pangfeng Liu, Jan-Jan Wu and Ching-Chi Lin, High Resource Utilization Auto-Scaling Algorithms for Heterogeneous Container Configurations, International Conference on Parallel and Distributed Systems (ICPADS), December 2017.
  • Olivier Valery, Pangfeng Liu, Jan-Jan Wu, CPU/GPU Collaboration Techniques for Transfer Learning on Mobile Devices, International Conference on Parallel and Distributed Systems (ICPADS), December 2017.
  • Yu-Ping Liu, Ding-Yong Hong, Jan-Jan Wu, Sheng-Yu Fu, Wei-Chung Hsu, Exploiting Asymmetric SIMD Register Configurations in ARM-to-x86 Dynamic Binary Translation, The 26th International Conference on Parallel Architectures and Compilation Techniques (PACT), Portland, Oregon, USA, September 2017, This is the first Taiwan paper accepted by PACT..
  • Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Dynamic Translation of Structured Loads/Stores and Register Mapping for Architectures with SIMD Extensions, ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools and Theory for Embedded Systems, Barcelona, Spain, June 2017, acceptance rate 25%.
  • Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu, Chia-Chun Shih, Chi-Chang Huang and Chao-Wen Huang, Efficient Cache Update for In-Memory Cluster Computing with Spark, 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain, May 2017, acceptance rate 22%.

Yang, Bo-Yin (楊柏因)

  • M.-H. Tsai, B.-Y. Wang, and B.-Y. Yang, Certified Verification of Algebraic Properties on Low-Level Mathematical Constructs in Cryptographic Programs, ACM CCS 2017, October 2017.
  • A. Petzoldt, M.-S. Chen, J. Ding, and B.-Y. Yang, MHFEv - An Efficient Multivariate Signature Scheme, Post-Quantum Cryptography, June 2017.
  • Shang-Yi Yang, Po-Chun Kuo, Bo-Yin Yang, and Chen-Mou Cheng, Gauss Sieve Algorithm on GPUs, Cryptographer's Track, RSA conference, February 2017.

Yang, De-Nian (楊得年)

  • C.-Y. Shen, L.-H. Huang, D.-N. Yang, H.-H. Shuai, W.-C. Lee, and M.-S. Chen, On Finding Socially Tenuous Groups for Online Social Networks, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2017, (oral presentation, accepting rate = 8.6%).
  • J.-J. Kuo, S.-H. Shen, M.-H. Yang, D.-N. Yang, M.-J. Tsai, and W. T. Chen, Service Overlay Forest Embedding for Software-Defined Cloud Networks, Proceedings of IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), June 2017, (accepting rate = 16.9%).
  • J.-J. Kuo, S.-H. Shen, H.-Y. Kang, D.-N. Yang, M.-J. Tsai, and W.-T. Chen, Service Chain Embedding with Maximum Flow in Software Defined Network and Application to the Next-Generation Cellular Network Architecture, IEEE Conference on Computer Communications (IEEE INFOCOM), May 2017, (accepting rate = 20%).
  • Y.-H. Lin, J.-J. Kuo, D.-N. Yang, and W. T. Chen, A Cost-Effective Shuffling-Based Defense against HTTP DDoS Attacks with SDN/NFV, Proceedings of IEEE International Conference on Communications (IEEE ICC), May 2017.

Yeh, Mi-Yen (葉彌妍)

  • Cheng-Chin Tu, Mi-Yen Yeh, and Tei-Wei Kuo, A Fast Non-Volatile Memory aware Algorithm for Generating Random Scale-Free Networks, The 2017 IEEE International Conference on Big Data (IEEE Big Data 2017), December 2017.
  • Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, and Shou-De Lin, PRUNE: Preserving Proximity and Global Ranking for Node Embedding, The 31st Annual Conference on Neural Information Processing Systems (NIPS-2017), December 2017.
  • Chun-Yen Kuo, Mi-Yen Yeh, and Jian Pei, Principal Pattern Mining on Graphs, The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-2017), July 2017.