中研院資訊所

著作目錄

Chang, Yuan-Hao (張原豪)

  • Li-Zheng Liang, Ming-Chang Yang, Yuan-Hao Chang, Tseng-Yi Chen, Shou-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, 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, 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, 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), volume 16, number 3, pages 83:1-83:28, 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.

  • 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.

  • 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.

  • 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), volume 25, number 2, pages 488-501, February 2017.

  • Chien-Chung Ho, Yu-Ming Chang, Yuan-Hao Chang, Hsiu-Chang Chen, and Tei-Wei Kuo, "Write-aware Memory Management for Hybrid SLC-MLC PCM Memory Systems," ACM SIGAPP Applied Computing Review (ACR), volume 17, number 2, pages 16-26, June 2017.

  • 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.


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, "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, volume 18, number 2, pages 364-376, February 2017.

  • Huei-Fang Yang, Kevin Lin, and Chu-Song Chen, "Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks,"To Appear in IEEE Transactions on Pattern Analysis and Machine Intelligence.

  • 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, volume 13, number 3, pages 28:1 - 28:23, July 2017.


Chen, Ling-Jyh (陳伶志)

  • 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.

  • 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.

  • 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, volume 5, pages 14441-14454, July 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.

  • 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.

  • 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, "SwapItUp: A Face Swap Application for Privacy Protection," IEEE International Conference on Advanced Information Networking and Applications (AINA'17), Taipei, Taiwan, 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.


Chen, Sheng-Wei (陳昇瑋)

  • 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.

  • 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," To Appear in Proceedings of ACM Multimedia 2017,.


Chen, Wen-Tsuen (陳文村)

  • 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.

  • 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 International Conference on Communications (IEEE ICC 2017), Paris, France, 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, volume 66, number 4, pages 3331 - 3344, April 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, volume 17, number 9, pages 1-13, May 2017.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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, volume 16, number 9, pages 2574-2587, September 2017.


Chen, Yu-Fang (陳郁方)

  • Yu-Fang Chen, Chih-Duo Hong, Ondřej Lengál, Shin-Cheng Mu, Nishant Sinha, Bow-Yaw Wang, "An Executable Sequential Specification for Spark Aggregation," Networked Systems (NETYS 2017), pages 421-438, May 2017.

  • Yu-Fang Chen, Ondrej Lengál, Tony Tan, Zhilin Wu, "Register automata with linear arithmetic," Logic in Computer Science (LICS 2017), June 2017.

  • Yong Li, Yu-Fang Chen, Lijun Zhang, Depeng 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.

  • Yu-Fang Chen, Chih-Duo Hong, Philipp Rümmer, Anthony Lin, "Learning to prove safety over parameterised concurrent systems," To Appear in Formal Methods in Computer-Aided Design (FMCAD 2017),.

  • Parosh Aziz Abdulla, Mohamed Faouzi Atig, Yu-Fang Chen, Bui Phi Diep, Lukás Holík, Ahmed Rezine, Philipp Rümmer, "Flatten and conquer: a framework for efficient analysis of string constraints," Programming Language Design and Implementation (PLDI 2017), June 2017.


Chuang, Tyng-Ruey (莊庭瑞)

  • Ting-Yan Lai, Tyng-Ruey Chuang, Shin-Cheng Mu, "Type-safe Redis queries -- a case study of type-level programming in Haskell," Type-Driven Development (TyDe 2017), September 2017.

  • Tyng-Ruey Chuang, "Remembrance of contemporary events: On setting up the Sunflower Movement archive," Digital Humanities, August 2017.


Chung, Kai-Min (鐘楷閔)

  • Yi-Hsiu Chen, Kai-Min Chung, Ching-Yi Lai, Salil Vadhan and Xiaodi Wu, "Computational Notions of Quantum Min-Entropy," To Appear in The 7th International Conference on Quantum Cryptography (QCrypt 2017),.

  • T-H. Hubert Chan, Kai-Min Chung, Elaine Shi, "On the Depth of Oblivious Parallel RAM," To Appear in The 23rd Annual International Conference on the Theory and Applications of Cryptology and Information Security (ASIACRYPT 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)

  • Hung-Min Hsu, Ray-I Chang, Jan-Ming Ho, "Query-Based-Learning Genetic Algorithm to Construct Mobile-Oriented Catalogs in M-commerce," IEEE Access, volume 5, pages 0, April 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, volume 5, pages 0, April 2017.


Hsu, Tsan-sheng (徐讚昇)

  • Zong-De Jian and Hung-Jui Chang and 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.

  • Shuo-Han Chen and Chi-Heng Lee and Tseng-Yi Chen and Hsin-Wen Wei and 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), pages 991--995, January 2017.

  • Hung-Jui Chang and Gang-Yu Fan and Jr-Chang Chen and Chih-Wen Hsueh and Tsan-sheng Hsu, "Validating and Fine-tuning of Game Evaluating Functions using Endgame databases," To Appear in Proceedings of the 2017 International Joint Conference on Artificial Intelligence (IJCAI), Computer Games Workshop,.

  • Tsan-sheng Hsu and Shun-Chin Hsu and Jr-Chang Chen and Yi-Ting Chiang and No-Nian Chen and Yun-Ching Liu and Hung-Jui Chang and Sue-Chen Tsai and Ting-Yu Lin and Gang-Yu Fan, "Computers and Classical Boad Games An Introduction (電腦對局導論)," National Taiwan University Press, June 2017, 389 pages, ISBN: 978-986-350-237-1


Hsu, Wen-Lian (許聞廉)

  • 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, volume 2017, pages 5, May 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, volume 16, number 4, pages 1-13, Article 27, August 2017.

  • Po-Ting Lai, Ming-Siang Huang, Chu-Hsien Su, Richard TzongHan Tsai, Wen-Lian Hsu, "Statistical Principle-based Approach for Gene and Protein Related Object Recognition," BioCreative V.5 Challenge Evaluation Workshop, pages 115-121, April 2017.

  • Hsin-Nan Lin and Wen-Lian Hsu, "DART: a fast and accurate RNA-seq mapper with a partitioning strategy," Bioinformatics, volume ., number ., pages btx558, September 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.

  • 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.

  • Hsin-Nan Lin and Wen-Lian Hsu, "Kart: a divide-and-conquer algorithm for NGS read alignment," Bioinformatics, volume 1;33(15), pages 2281-2287, August 2017.

  • Yung-Chun Chang, Cheng-Wei Shih, and Wen-Lian Hsu, "Entailment-based Intelligent Agent for Software Project Monitoring and Control," IEEE Systems Journal, volume PP, number 99, pages 1-12, March 2017, 10.1109/JSYST.2016.2563463

  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection (Extended abstract)," 2017 IEEE International Conference on Data Engineering, pages 13-14, April 2017.

  • 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.

  • Yu-Lun Hsieh, Yung-Chun Chang, Yi-Jie Huang, Shu-Hao Yeh, Chun-Hung Chen and Wen-Lian Hsu, "MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network," To Appear in The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017),.

  • Yu-Lun Hsieh, Yung-Chun Chang, Nai-Wen Chang and Wen-Lian Hsu, "Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory," To Appear in The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017),.


Hwang, Wen-Liang (黃文良)

  • Shih-Shuo Tung and Wen-Liang Hwang, "Multiple depth layers and all-in-focus image generations by blurring and deblurring operations," Pattern Recognition, volume 69, pages 184-198, September 2017.

  • Hao-Chiang Shao and Wen-Liang Hwang, "Deriving 3D Shape Properties by Using Backward Wavelet Remesher," To Appear in IEEE GlobalSIP,.


Ku, Lun-Wei (古倫維)

  • 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," the 26th International World Wide Web Conference (WWW 2017), Digital Learning Track, April 2017.

  • Wei-Fan Chen, Yi-Pei Chen and Lun-Wei Ku, "How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement," the 19th Human-Computer Interaction International Conference (HCII 2017), July 2017.

  • Chieh-Yang Huang, Ting-Hao (Kenneth) Huang and Lun-Wei Ku, "Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications," the Association for the Advancement of Artificial Intelligence Spring Symposia (AAAI SSS 2017), March 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," To Appear in Conference on Empirical Methods in Natural Language Processing (EMNLP 2017),.


Liao, Mark (廖弘源)

  • M. Srinivas, Y. Y. Lin, and H. Y. Mark Liao, "Deep Dictionary Learning for Fine-Grained Image Classification," IEEE International Conference on Image Processing, IEEE, September 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, IEEE, October 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 2017, oral), March 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, IEEE, July 2017.


Liau, Churn-Jung (廖純中)

  • C.P. Su, T.F. Fan, and C.J. Liau, "Possibilistic justification logic: Reasoning about justified uncertain beliefs.," ACM Transactions on Computational Logic, volume 18, number 2, pages 15:1-15:21, 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), K. Larson, M. Winikoff, S. Das and and E. Durfee:, editors, ACM, pages 1529-1531, 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, volume 153, number 3, pages 271-290, May 2017.

  • T.F. Fan and C.J. Liau, "A logic for reasoning about evidence and belief," To Appear in 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI), ACM.


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), volume 114, number 8, pages 2018–2023, February 2017, Collaboration with team in UCLA, doi: 10.1073/pnas.1614623114


Liu, Tyng-Luh (劉庭祿)

  • 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 2017, oral), March 2017.

  • Tyng-Luh Liu, "Guided Co-training for Large-Scale Multi-View Spectral Clustering," To Appear in arXiv.org,.


Lu, Chi-Jen (呂及人)

  • 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)

  • Wei-Jie, Liang, Tsung-Hsun Chien, and Chun-Shien Lu, "Theoretical stopping criteria guided Greedy Algorithm for Compressive Cooperative Spectrum Sensing," Computer Communications, volume 111, pages 165-175, 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.

  • 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, volume 108, pages 1-16, August 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, volume 26, number 2, pages 847-859, February 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.


Ma, Wei-Yun (馬偉雲)

  • 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," International Conference on Semantic Computing, January 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.


Mu, Shin-Cheng (穆信成)

  • Ting-Yan Lai, Tyng-Ruey Chuang, Shin-Cheng Mu, "Type-safe Redis queries -- a case study of type-level programming in Haskell," Type-Driven Development (TyDe 2017), September 2017.

  • Yu-Fang Chen, Chih-Duo Hong, Ondřej Lengál, Shin-Cheng Mu, Nishant Sinha, Bow-Yaw Wang, "An Executable Sequential Specification for Spark Aggregation," Networked Systems (NETYS 2017), pages 421-438, May 2017.


Shih, Arthur Chun-Chieh (施純傑)

  • 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.

  • 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, volume 7, pages 7560, August 2017, *: corresponding authors


Su, Keh-Yih (蘇克毅)

  • 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)

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Chen-Yun Lin, Li Su, and Hau-tieng Wu, "Wave-shape function analysis – when cepstrum meets time-frequency analysis,"To Appear in Journal of Fourier Analysis and Applications.

  • 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.


Sung, Ting-Yi (宋定懿)

  • 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.

  • 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.

  • 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, volume 7, pages 44021, March 2017.


Tsai, Huai-Kuang (蔡懷寬)

  • 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, volume Volume 2017,, pages bax069, August 2017.


Wang, Da-Wei (王大為)

  • Zong-De Jian and Hung-Jui Chang and 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.


Wang, Hsin-Min (王新民)

  • 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.

  • 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 2017, oral), March 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.

  • 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.

  • 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, volume 16, number 4, pages 1-13, Article 27, 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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 Conference 2017, October 2017, (Full Research Paper with ORAL PRESENTATION, ~7.5% acceptance rate)

  • 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.


Wu, Jan-Jan (吳真貞)

  • 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.

  • 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%

  • 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%


Yang, Bo-Yin (楊柏因)

  • Shang-Yi Yang, Po-Chun Kuo, Bo-Yin Yang, and Chen-Mou Cheng, "Gauss Sieve Algorithm on GPUs," Cryptographer's Track, RSA conference, Lecture Notes in Computer Science, volume 10159, Helena Handschuh, editor, pages 39-57, February 2017.

  • M.-H. Tsai, B.-Y. Wang, and B.-Y. Yang, "Certified Verification of Algebraic Properties on Low-Level Mathematical Constructs in Cryptographic Programs," To Appear in ACM CCS 2017, ACM.

  • A. Petzoldt, M.-S. Chen, J. Ding, and B.-Y. Yang, "MHFEv - An Efficient Multivariate Signature Scheme," Post-Quantum Cryptography, Lecture Notes in Computer Science, volume 10346, T. Lange and T. Takagi, editor, Springer, pages 205-223, June 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 Teneous Groups for Online Social Networks," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2017, (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," 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," IEEE International Conference on Communications (IEEE ICC), May 2017.


Yeh, Mi-Yen (葉彌妍)

  • Yi-An Lai, Chin-Chi Hsu, Chin-Chi Hsu, 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.

  • Chien-Wei Chang, Mi-Yen Yeh, and Kun-Ta Chuang, "Node Reactivate Model to Intensify Influence on Network Targets," Knowledge and Information Systems, June 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.