中央研究院 資訊科學研究所

研究概況

友善列印

2019 著作目錄

Chang, Yuan-Hao (張原豪)

  • Wei-Chen Wang, Ping-Hsien Lin, Yung-Chun Li, Chien-Chung Ho, Yu-Ming Chang, and Yuan-Hao Chang, Toward Instantaneous Sanitization through Disturbance-induced Errors and Recycling Programming over 3D Flash Memory, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), November 2019, (Top Conference).
  • Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Kam-Yiu Lam, Wei-Hsin Li, and Wei-Kuan Shih, Enabling Sequential-write-constrained B+-tree Index Scheme to Upgrade Shingled Magnetic Recording Storage Performance, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), October 2019, (Journal Track, Integrated with ACM TECS) (Top Conference).
  • Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Kam-Yiu Lam, Wei-Hsin Li, and Wei-Kuan Shih, Enabling Sequential-write-constrained B+-tree Index Scheme to Upgrade Shingled Magnetic Recording Storage Performance, ACM Transactions on Embedded Computing Systems (TECS), October 2019, (Integrated with ACM/IEEE CODES+ISSS'19).
  • Wei-Chen Wang, Yuan-Hao Chang, Tei-Wei Kuo, Chien-Chung Ho, Yu-Ming Chang, and Hung-Sheng Chang, Achieving Lossless Accuracy with Lossy Programming for Efficient Neural-Network Training on NVM-Based Systems, ACM Transactions on Embedded Computing Systems (TECS), October 2019, (Integrated with ACM/IEEE CODES+ISSS'19).
  • Wei-Chen Wang, Yuan-Hao Chang, Tei-Wei Kuo, Chien-Chung Ho, Yu-Ming Chang, and Hung-Sheng Chang, Achieving Lossless Accuracy with Lossy Programming for Efficient Neural-Network Training on NVM-Based Systems, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), October 2019, (Journal Track, Integrated with ACM TECS) (Best Paper Award - Top Conference).
  • Shuo-Han Chen, Yuan-Hao Chang, Yu-Ming Chang, and Wei-Kuan Shih, mwJFS: A Multi-Write-Mode Journaling File System for MLC NVRAM Storages, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), September 2019.
  • Yu Ting Ho, Chun-Feng Wu, Ming-Chang Yang, Tseng-Yi Chen, and Yuan-Hao Chang, Replanting Your Forest: NVM-friendly Bagging Strategy for Random Forest, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2019, (Best Paper Award).
  • Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Pei-Yu Chen, and Wei-Kuan Shih, Rethinking Last-level-cache Write-back Strategy for MLC STT-RAM Main Memory with Asymmetric Write Energy, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2019, (Top Conference).
  • Shuo-Han Chen, Ming-Chang Yang, and Yuan-Hao Chang, The Best of Both Worlds: On Exploiting Bit-Alterable NAND Flash for Lifetime and Read Performance Optimization, ACM/IEEE Design Automation Conference (DAC), June 2019, (Top Conference).
  • Shuo-Han Chen, Ming-Chang Yang, Yuan-Hao Chang, and Chun-Feng Wu, Enabling File-Oriented Fast Secure Deletion on Shingled Magnetic Recording Drives, ACM/IEEE Design Automation Conference (DAC), June 2019, (Top Conference).
  • Shuo-Han Chen, Yong-Ching Lin, Yuan-Hao Chang, Ming-Chang Yang, Tseng-Yi Chen, Hsin-Wen Wei, and Wei-Kuan Shih, A New Sequential-Write-Constrained Cache Management to Mitigate Write Amplification for SMR Drives, ACM Symposium on Applied Computing (SAC), April 2019.
  • Yen-Ting Chen, Ming-Chang Yang, Yuan-Hao Chang, Tseng-Yi Chen, Hsin-Wen Wei, and Wei-Kuan Shih, Co-optimizing Storage Space Utilization and Performance for Key-Value Solid State Drives, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), January 2019.
  • Ming-Chang Yang, Yuan-Hao Chang, Fenggang Wu, Tei-Wei Kuo, and David Hung-Chang Du, On Improving the Write Responsiveness for Host-Aware SMR Drives, IEEE Transactions on Computers (TC), January 2019.

Chen, Chu-Song (陳祝嵩)

  • Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, Compacting, Picking and Growing for Unforgetting Continual Learning, Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019, December 2019.
  • Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, Adaptive Labeling for Hash Codes Learning via Neural Networks, IEEE International Conference on Image Processing, ICIP 2019, September 2019.
  • Timmy S.T. Wan, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, Co-compressing and Unifying Deep CNN Models for Efficient Human Face and Speaker Recognition, 2nd Multimodal Learning and Applications Workshop in CVPR 2019, June 2019.
  • Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, and Ming-Ting Sun, Unsupervised Deep Learning of Compact Binary Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2019.
  • Keng-Hao Liu, Kuo-Yen Lo, Yu-Chieh Kuo, and Chu-Song Chen, Mobile Photo Recommendation System of Continuous Shots Based on Aesthetic Ranking, Journal of Computer Languages, June 2019.
  • Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning, ACM International Conference on Multimedia Retrieval, ICMR 2019, June 2019.
  • Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, Adaptive Labeling for Deep Learning to Hash, 3rd International Workshop on Compact and Efficient Feature Representation and Learning in CVPR 2019, June 2019.
  • Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, Data-specific Adaptive Threshold for Face Recognition and Authentication, IEEE 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, March 2019.
  • Cheng-En Wu, Yi-Ming Chan and Chu-Song Chen, On Merging MobileNets for Efficient Multitask Inference, Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC^2) Workshop in the 25th IEEE HPCA, February 2019.

Chen, Ling-Jyh (陳伶志)

  • Nai-Cih Liou, Cyuan-Heng Luo, Sachit Mahajan, and Ling-Jyh Chen, Why Is Short-Time PM2.5 Forecast Difficult? The Effects of Sudden Events, IEEE Access, December 2019.
  • Yi-Bing Lin, Hung-Chun Tseng, Li-Chang Wang, and Ling-Jyh Chen, Performance of Splitting LTE-WLAN Aggregation, ACM/Springer Mobile Networks and Applications, October 2019.
  • Sachit Mahajan, Yu-Siou Tang, Dong-Yi Wu, Tzu-Chieh Tsai, and Ling-Jyh Chen, CAR: The Clean Air Routing Algorithm for Path Navigation with Minimal PM2.5 Exposure on the Move, IEEE Access, October 2019.
  • Yi-Bing Lin, Hung-Chun Tseng, Yun-Wei Lin, and Ling-Jyh Chen, NB-IoTtalk: A Service Platform for Fast Development of NB-IoT Applications, IEEE Internet of Things Journal, February 2019.

Chen, Meng Chang (陳孟彰)

  • Yi-Ting Huang, Yu-Yuan Chen, Chih-Chun Yang, Yeali Sun, Shun-Wen Hsiao and Meng Chang Chen, Tagging a Malware’s Intentions by using Attention-based Sequence-to-Sequence Neural Network, ACISP, July 2019.

Chen, Yu-Fang (陳郁方)

  • Y.-F. Chen, H.-C. Chung, W.-C. Hung, M.-H. Tsai, B.-Y. Wang, and F. Wang, Synthesize Models for Quantitative Analysis using Automata Learning, Networked Systems (NETYS 2019), June 2019.
  • Y. Li, X. Sun, A. Turrini, Y.-F. Chen, J. Xu, ROLL 1.0: Omega-Regular Language Learning Library, Tools and Algorithms for Construction and Analysis of Systems (TACAS 2019), April 2019.

Chuang, Tyng-Ruey (莊庭瑞)

  • Tyng-Ruey Chuang, Chih-Chuan Hsu, and Huang-Sin Syu, Maps Re-imagined: Digital, Informational, and Perceptional Experimentations in Progress, Digital Humanities 2019: Complexities, July 2019.
  • Tyng-Ruey Chuang, Chiao-Ling Kuo, Jheng-Hong Lai, Hsiung-Ming Liao, and Huang-Sin Syu, Feature Extraction in Parallel with Georeferencing for the Digitalization of Historical Maps, The 22th AGILE Conference on Geo-information Science, June 2019.
  • Tyng-Ruey Chuang, Difficult Space: Old Gravesites in Taiwan, The Fourth International Conference on Documenting and Researching Gravesites in Pacific Asia: Migration, Religion and Ethnicity (DRGPA 2019), May 2019.
  • Tyng-Ruey Chuang, Cheng-Jen Lee, and Chia-Hsun Wang, Collaboration in Soundscape Monitoring: A Use Case for Research Data Management, Soundscape Conference in conjunction with ISGC 2019, April 2019.
  • Chih-hsing Ho and Tyng-Ruey Chuang, Governance of Communal Data Sharing, Good Data, 2019.

Chung, Kai-Min (鐘楷閔)

  • Kai-Min Chung and Luowen Qian, Adaptively Secure Garbling Schemes for Parallel Computations, Theory of Cryptography Conference (TCC 2019), December 2019.
  • Marios Georgiou and Ching-Yi Lai and Vassilis Zikas and Kai-Min Chung, Cryptography with Disposable Backdoors, Cryptography, September 2019.
  • Ching-Yi Lai and Kai-Min Chung, Interactive Leakage Chain Rule for Quantum Min-entropy, International Symposium on Information Theory (ISIT 2019), July 2019.
  • Thomas Vidick, Han-hsuan Lin, Divesh Aggarwal and Kai-Min Chung, A Quantum-Proof Non-Malleable Extractor With Application to Privacy Amplification against Active Quantum Adversaries, The 38th Annual International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt 2019), May 2019.
  • Dorit Aharonov, Zvika Brakerski, Ayal Green, Ching-Yi La, Kai-Min Chung and Or Sattath, On Quantum Advantage in Information Theoretic Single-Server PIR, The 38th Annual International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt 2019), May 2019.
  • Chi-Ning Chou, Kai-Min Chung and Chi-Jen Lu, On the Algorithmic Power of Spiking Neural Networks, The 10th Innovations in Theoretical Computer Science (ITCS 2019), January 2019.
  • Ching-Yi Lai and Kai-Min Chung, Quantum encryption and generalized Shannon impossibility, Design, Codes and Cryptography, January 2019.
  • T-H. Hubert Chan, Kai-Min Chung, Bruce Maggs and Elaine Shi, Foundations of Differentially Oblivious Algorithms, ACM-SIAM Symposium on Discrete Algorithms (SODA 2019), January 2019.

Ho, Jan-Ming (何建明)

  • Li-Chen Liu, Meng-Huang Lee, Shin-Hung Chang, Ray-I Chang, Yu-Jung Chang, and Jan-Ming Ho, Constructing Suffix Array of Next-Generation Sequencing upon In-Memory Lookup Cloud and MapReduce, IEEE Big Data, December 2019.
  • Jia-Hao Syu, Mu-En Wu, and Jan-Ming Ho, A Framework of Applying Kelly Stationary Index to Stock Trading in Taiwan Market, IEEE Big Data, LA, USA, December 2019.
  • Shin-Hung Chang, Chia-Hsien Chou, Meng-Huang Lee, and Jan-Ming Ho, Predictive Scheduling for DASH Video Streaming in an Underground Subway System, Proceedings IEEE Globecom 2019, December 2019.
  • Chen-Sheng Gu, Hong-Po Hsieh, Chung-Shu Wu, Ray-I Chang and Jan-Ming Ho, A Fund Selection Robo-Advisor with Deep Learning Driven Market Prediction, IEEE International Conference on System, Man, and Cybernetics, IEEE SMC 2019, October 2019.
  • Yun-Pin Tien, Wei-Chen Lin, Jan-Ming Ho and Wing-Kai Hon, Optimal File Dissemination Scheduling Under a General Binary Tree of Trust Relationship, TrustCom 2019 : The 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, August 2019.
  • Jia-Hao Syu, Mu-En Lee, Shin-Huah Wu and Jan-Ming Ho, Modified ORB Strategies with Threshold Adjusting on Taiwan Futures Market, Proceedings IEEE CIFEr 2019, May 2019.
  • Yi-Cheng Tsai, Mu-En Wu, Jia-Hao Syu, Chin-Laung Lei, Chung-Shu Wu, Jan-Ming Ho, Chuan-Ju Wang, Assessing the Profitability of Timely Opening Range Breakout on Index Futures Markets, IEEE Access, April 2019.
  • Li-An Yang, Yu-Jung Chang, Shu-Hwa Chen, Chung-Yen Lin and Jan-Ming Ho, SQUAT: A Sequencing Quality Assessment Tool for Data Quality Assessments before and after Genome Assemblies, BMC Genomics, April 2019.

Hong, Ding-Yong (洪鼎詠)

  • Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Optimizing Data Permutations in Structured Loads/Stores Translation and SIMD Register Mapping for a Cross-ISA Dynamic Binary Translator, Journal of Systems Architecture (JSA), September 2019.
  • Chih-Min Lin, Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Exploiting Vector Processing in Dynamic Binary Translation, the International Conference on Parallel Processing (ICPP), Kyoto, Japan, August 2019.
  • Ding-Yong Hong, Shih-Kai Lin, Sheng-Yu Fu, Jan-Jan Wu, Wei-Chung Hsu, Enhancing Transactional Memory Execution via Dynamic Binary Translation, ACM Applied Computing Review (ACR), April 2019.
  • Yu-Ping Liu, Ding-Yong Hong, Jan-Jan Wu, Sheng-Yu Fu, Wei-Chung Hsu, Exploiting SIMD Asymmetry in ARM-to-x86 Dynamic Binary Translation, ACM Transactions on Architecture and Code Optimization (TACO), February 2019.
  • Ding-Yong Hong, Jan-Jan Wu, Yu-Ping Liu, Sheng-Yu Fu, Wei-Chung Hsu, Processor-Tracing Guided Region Formation in Dynamic Binary Translation, High Performance and Embedded Architecture and Compilation (HiPEAC), Valencia, Spain, January 2019.

Hsu, Tsan-sheng (徐讚昇)

  • Hung-Jui Chang, Yu-Hsuan Hsu, Chih-Wen Hsueh, Mei-Lien Pan, Hsiao-Mei Tsao, Da-Wei Wang, Tsan-sheng Hsu, Faster in Time and Better in Randomness Algorithms for Matching Subjects with Multiple Controls, International Journal on Advances in Software, December 2019.
  • HJ Chang, YH Hsu, CW Hsueh, Tsan-sheng Hsu, Efficient qualitative method for matching subjects with multiple controls, Proc. ALLDATA 2019, The Fifth International Conference on Big Data, Small Data, Linked Data and Open Data, March 2019.

Hsu, Wen-Lian (許聞廉)

  • Hsi-Yuan Huang, Yang-Chi-Dung Lin, Jing Li, Kai-Yao Huang, Sirjana Shrestha, Hsiao-Chin Hong, Yun Tang, Yi-Gang Chen, Chen-Nan Jin, Yuan Yu, Jia-Tong Xu, Yue-Ming Li, Xiao-Xuan Cai, Zhen-Yu Zhou, Xiao-Hang Chen, Yuan-Yuan Pei, Liang Hu, Jin-Jiang Su, Shi-Dong Cui, Fei Wang, Yue-Yang Xie, Si-Yuan Ding, Meng-Fan Luo, Chih-Hung Chou, Nai-Wen Chang, Kai-Wen Chen, Yu-Hsiang Cheng, Xin-Hong Wan, Wen-Lian Hsu, Tzong-Yi Lee, Feng-Xiang Wei, Hsien-Da Huang, miRTarBase 2020: updates to the experimentally validated microRNA–target interaction database, Nucleic Acids Research (Oxford), October 2019.
  • Chi-Jen Chen, Neha Warikoo, Yung-Chun Chang, Jin-Hua Chen, and Wen-Lian Hsu, Medical Knowledge Infused Convolutional Neural Networks for Cohort Selection in Clinical Trials, JAMIA(Journal of the American Medical Informatics Association) ), June 2019.
  • Hong-Jie Dai, Chen-Kai Wang, Nai-Wen Chang, Ming-Siang Huang, Jitendra Jonnagaddala, Feng-Duo Wang, Wen-Lian Hsu, Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature, Database (Oxford), February 2019.

Hwang, Wen-Liang (黃文良)

  • Wen-Liang Hwang, Andreas Heinecke, Un-rectifying Non-linear Networks for Signal Representation, IEEE Transactions on Signal Processing, December 2019.
  • Wen-Liang Hwang, Chia-Chen Lee, and Guan-Ju Peng, Multi-Objective Optimization and Characterization of Pareto Points for Scalable Coding, IEEE Transactions on Circuits and Systems for Video Technology, July 2019.
  • Wen-Liang Hwang, Ping-Tzan Huang, Bo-Chen Kung, Jinn Ho, and Tai-Lang Jong, Frame-based Sparse Analysis and Synthesis Signal Representations and Parseval K-SVD, IEEE Transactions on Signal Processing, June 2019.

Ko, Hsiang-Shang (柯向上)

  • Liye Guo, Hsiang-Shang Ko, Keigo Imai, Nobuko Yoshida, and Zhenjiang Hu, Towards bidirectional synchronization between communicating processes and session types, Workshop on Software Foundations for Data Interoperability (SFDI), February 2019.

Ku, Lun-Wei (古倫維)

  • Chia-Wei Chen, Sheng-Chuan Chou, Chang-You Tai and Lun-Wei Ku, PGA: Phrase-Guided Attention Web Article Recommendation for Next Clicks and Views, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019), August 2019.
  • Yi-Pei Chen, Ting-Lun Hsu, Wen-Kai Chung, Shih-Chieh Dai, Lun-Wei Ku, Upstream, Downstream or Competitor? Detecting Company Relations for Commercial Activities, 21st International Conference on Human-Computer Interaction (HCI International 2019), July 2019.
  • Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak and Lun-Wei Ku, UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering, Proceedings of 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019), June 2019.
  • Ting-Lun Hsu, Shih-Chieh Dai and Lun-Wei Ku, Exam Keeper: Detecting Questions with Easy-to-Find Answers, 2019 World Wide Web Conference (WWW '19), May 2019.
  • Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao Huang, Lun-Wei Ku, Dixit: Interactive Visual Storytelling via Term Manipulation, 2019 World Wide Web Conference (WWW '19), May 2019.
  • Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, Lun-Wei Ku, From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences, 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA14 2019), April 2019.
  • Kuan-Yen Lin, Chao-Chun Hsu, Yun-Nung Chen, Lun-Wei Ku, Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation, Dialog System Technology Challenge (DSTC7) Workshop in the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), January 2019.
  • Chia-Wei Chen, Sheng-Chuan Chou and Lun-Wei Ku, Enriching Article Recommendation with Phrase Awareness, Recommender Systems Meet Natural Language Processing (RecNLP) Workshop in the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), January 2019.

Lee, Der- Tsai (李德財)

  • Mong-Jen Kao, Hai-Lun Tu and D.T. Lee, O(f) Bi-criteria Approximation for Capacitated Covering with Hard Capacities, Algorithmica, May 2019.

Liao, Mark (廖弘源)

  • C. Y. Wang, H. Y. Mark Liao, P. Y. Chen, and J. W. Hsieh, Enriching Variety of Layer-wise Learning Information by Gradient Combination, IEEE International Conference on Computer Vision Workshop(ICCVW) ``Low Power Computer Vision.'', Seoul, South Korea, October 2019.
  • Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, C.-C. Jay Kuo, and H. Y. Mark Liao, Tell Me Where is Still Blurry: Adversarial Blurred Region Mining and Refining, 27th ACM Multimedia Conference (long paper), Nice, France, October 2019.
  • P. Y. Chen, J. W. Hsieh, M. Gochoo, C. Y. Wang, H. Y. Mark Liao, SMALLER OBJECT DETECTION FOR REAL-TIME EMBEDDED TRAFFIC FLOW ESTIMATION USING FISH-EYE CAMERAS, IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019.
  • Y. S. Chou, C. Y. Wang, M. C. Chen, S. D. Lin, and H. Y. Mark Liao, DYNAMIC GALLERY FOR REAL-TIME MULTI-TARGET MULTI-CAMERA TRACKING, IEEE International Conference on Advanced Video and Signal-based Surveillance, Taipei, Taiwan, September 2019.
  • C. Y. Wang, P. Y. Chen, M C. Chen, J. W. Hsieh, and H. Y. Mark LIao, Real-time Video-based Person Re-identification Surveillance with Light-weight Deep Convolutional Networks, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan, September 2019.
  • W. L. Wei, J. C. Lin, Y. Y. Lin, H. Y. Mark Liao, You Look Like You: Learning an Inherent Feature Representation for Person Re-Identification, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan, September 2019.

Liau, Churn-Jung (廖純中)

  • T.F. Fan and C.J. Liau, Logics of dominance for reasoning about multi-criteria decisions, The 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM), March 2019.

Lin, Chung-Yen (林仲彥)

  • Reuben Wang, Chung-Yen Lin, Shu-Hwa Chen, Kai-Jiun Lo, Chi-Te Liu, Tzu-Ho Chou, Yang-hsin Shih, Using high-throughput transcriptome sequencing to investigate the biotransformation mechanism of hexabromocyclododecane with Rhodopseudomonas palustris in water, Science of the Total Environment, November 2019, IF=5.6.
  • Li-An Yang, Yu-Jung Chang, Shu-Hwa Chen, Chung-Yen Lin and Jan-Ming Ho, SQUAT: A Sequencing Quality Assessment Tool for Data Quality Assessments before and after Genome Assemblies, BMC Genomics, April 2019.

Liu, Jing-Sin (劉進興)

  • W.-C. Tung and J.-S. Liu, SOLUTION OF AN INTEGRATED TRAVELING SALESMAN AND COVERAGE PATH PLANNING PROBLEM BY USING A GENETIC ALGORITHM WITH MODIFIED OPERATORS, IADIS International Journal on Computer Science and Information Systems, December 2019.
  • HC Liao and JS Liu, A Model-Based Reinforcement Learning Approach to Time-Optimal Control Problems, 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (AIE/IEA 2019), Graz, Austria, July 2019.
  • J-Y Lin and J.-S. Liu, Reduce of DenseNets Calculation on UAV Vision Application, 2019 International Workshop of ICAROB in Taiwan (2019 ICAROB Taiwan) — Intelligent Artificial Life and Robotics, Douliu, Taiwan, June 2019, June 2019.

Liu, Tyng-Luh (劉庭祿)

  • Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, and Tyng-Luh Liu, One-Shot Object Detection with Co-Attention and Co-Excitation, Thirty-third Conference on Neural Information Processing Systems, December 2019, (NeurIPS).
  • Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, and Tyng-Luh Liu, See-through-Text Grouping for Referring Image Segmentation, International Conference on Computer Vision, October 2019, (ICCV).
  • Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, C.-C. Jay Kuo and Mark Liao, Tell Me Where It is Still Blurry: Adversarial Blurred Region Mining and Refining, ACM Multimedia Conference, October 2019, (ACM MM).
  • Chih-Yao Chiu, Hwann-Tzong Chen and Tyng-Luh Liu, C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning, arXiv:1904.03508, April 2019.
  • Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, and Tyng-Luh Liu, Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects, Thirty-Third AAAI Conference on Artificial Intelligence, January 2019, (AAAI).

Lu, Chi-Jen (呂及人)

  • Hong-You Chen and Chi-Jen Lu, Nested variance estimating VAE/GAN for face generation, Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN), July 2019.
  • Yi-Shan Wu, Po-An Wang, and Chi-Jen Lu, Lifelong optimization with low regret, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), April 2019.
  • Jun-Kun Wang, Chi-Jen Lu, and Shou-De Lin, Online linear optimization with sparsity constraints, Proceedings of the 30th International Conference on Algorithmic Learning Theory (ALT), March 2019.
  • Chi-Ning Chou, Kai-Min Chung and Chi-Jen Lu, On the Algorithmic Power of Spiking Neural Networks, The 10th Innovations in Theoretical Computer Science (ITCS 2019), January 2019.

Lu, Chun-Shien (呂俊賢)

  • Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Wei-Jie, Liang, and Chun-Shien Lu, Compressed Sensing of Image Sequence Reconstruction via Multiple Total Variation, The Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, July 2019.

Ma, Wei-Yun (馬偉雲)

  • Tsu-Hui Fu, Peng-Hsuan Li, Wei-Yun Ma, GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction, International Conference on ACL, July 2019.
  • Hsin-Pei Lee, Jhih-Sheng Fan, Wei-Yun Ma, iComposer: An Automatic Songwriting System for Chinese Popular Music, International Conference on NAACL Demo Track, June 2019.
  • Jhih-Sheng Fan, Mu Yang, Peng-Hsuan Li, Wei-Yun Ma, HWE: Word Embedding with Heterogeneous Features, IEEE International Conference on Semantic Computing, January 2019.

Mu, Shin-Cheng (穆信成)

  • Koen Pauwels, Tom Schrijvers and Shin-Cheng Mu, Handling local state with global state, Mathematics of Program Construction (MPC 2019), October 2019.
  • Shin-Cheng Mu, Calculating a backtracking algorithm: an exercise in monadic program derivation, June 2019.
  • Shin-Cheng Mu, Equational reasoning for non-determinism monad: the case of Spark aggregation, 2019.

Su, Keh-Yih (蘇克毅)

  • Chao-Chun Liang and Keh-Yih Su, ASNLU at the NTCIR-14 FinNum Task: Incorporating Knowledge into DNN for Financial Numeral Classification, Proceedings of the 14th NTCIR Conference on Evaluation of Information Access Technologies, Tokyo, Japan, June 2019.
  • Yang Liu, Kun Wang, Chengqing Zong, and Keh-Yih Su, A Unified Framework and Models for Integrating Translation Memory into Phrase-based Statistical Machine Translation, Journal of Computer Speech and Language, March 2019.

Su, Li (蘇黎)

  • Tsung-Ping Chen and Li Su, Harmony transformer: incorporating chord segmentation into harmony recognition, International Society of Music Information Retrieval Conference (ISMIR), November 2019, (Best Paper Award).
  • I-Chieh Wei, Chih-Wei Wu, and Li Su, Generating structured drum pattern using variational autoencoder and self-similarity matrix, International Society of Music Information Retrieval Conference (ISMIR), November 2019.
  • Wen-Yu Hsu, Lan-Li Xie, Yu-Huei Su, Mei-Ju Su, Li Su, Mei-Zhi Chen, Hong-Ting Zhan, Establishment of a Music Care System for the Elderly in a Long-term Care Facility, The 7th IEEE International Conference on E-Health and Bioengineering, November 2019.
  • Zih-Sing Fu and Li Su, Hierarchical classification networks for singing voice segmentation and transcription, International Society of Music Information Retrieval Conference (ISMIR), November 2019.
  • Yu-Fen Huang, Tsung-Ping Chen, Nikki Moran, Simon Coleman, and Li Su, Identifying expressive semantics in orchestral conducting kinematics, International Society of Music Information Retrieval Conference (ISMIR), November 2019.
  • Ting-Wei Su, Yuan-Ping Chen, Li Su, and Yi-Hsuan Yang, TENT: Technique-embedded note tracking for real-world guitar solo recordings, Transactions of the International Society for Music Information Retrieval (TISMIR), July 2019.
  • Yu-Te Wu, Berlin Chen, Li Su, Polyphonic Music Transcription with Semantic Segmentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019.
  • Tsung-Han Hsieh, Li Su, and Yi-Hsuan Yang, A Streamlined Encoder/Decoder Architecture for Melody Extraction, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019.
  • Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, and Li Su, Play As You Like: Timbre-Enhanced Multi-modal Music Style Transfer, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), January 2019, (Acceptance rate: 16.2%).

Sung, Ting-Yi (宋定懿)

  • Wai-Kok Choong, Ching-Tai Chen, Jen-Hung Wang, and Ting-Yi Sung, iHPDM: in silico human proteome digestion map with proteolytic peptide analysis and graphical visualizations, Journal of Proteome Research, December 2019.
  • Thejkiran Pitti, Ching-Tai Chen, Hsin-Nan Lin, Wai-Kok Choong, Wen-Lian Hsu, and Ting-Yi Sung, N-GlyDE: a two-stage N-linked glycosylation site prediction incorporating gapped dipeptides and pattern-based encoding, Scientific Reports, November 2019.
  • 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 for prote-omics data analysis based on Trans-Proteomic Pipeline, Analytical Chemistry, August 2019.

Tsai, Huai-Kuang (蔡懷寬)

  • Lin, C.Y., Chao, J.L., Tsai, H.K., Chalker, D., and Yao, M.C., Setting Boundaries for Genome-wide Heterochromatic DNA Deletions Through Flanking Inverted Repeats in Tetrahymena thermophila, Nucleic Acids Research, June 2019.

Wang, Chien-Min (王建民)

  • Yang Syu and Chien-Min Wang, An Empirical Investigation of Real-World QoS of Web Services, 16th International Conference on Services Computing, June 2019.
  • Yang Syu, Chien-Min Wang, and Yong-Yi Fanjiang, Modeling and Forecasting of Time-aware Dynamic QoS Attributes for Cloud Services, IEEE Transactions on Network and Service Management, March 2019.

Wang, Da-Wei (王大為)

  • Hung-Jui Chang, Yu-Hsuan Hsu, Chih-Wen Hsueh, Mei-Lien Pan, Hsiao-Mei Tsao, Da-Wei Wang, Tsan-sheng Hsu, Faster in Time and Better in Randomness Algorithms for Matching Subjects with Multiple Controls, International Journal on Advances in Software, December 2019.
  • Jian, Zong-De and Chang, Hung-Jui and Hsu, Tsan-sheng and Wang, Da-Wei, Applying Deep Learning for Surrogate Construction of Simulation Systems, Springer, September 2019.
  • Yu-Ju Chen and Tsan-sheng Hsu and Zong-De Jian and Tingyu Lin and Mei-Lien Pan and Da-wei Wang, Study Simulated Epidemics with Deep Learning, SIMULTECH, July 2019.

Wang, Hsin-Min (王新民)

  • Shang-Bao Luo, Hung-Shin Lee, Kuan-Yu Chen, Hsin-Min Wang, Spoken Multiple-Choice Question Answering Using Multimodal Convolutional Neural Networks, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2019), December 2019.
  • Yueh-Ting Lee, Xuan-Bo Chen, Hung-Shin Lee, Jyh-Shing Roger Jang and Hsin-Min Wang, Multi-task Learning for Mandarin Acoustic Modeling Using Articulatory Attributes, APSIPA Annual Summit and Conference (APSIPA ASC 2019), November 2019.
  • Wei-Cheng Lin, Yu Tsao, Hsin-Min Wang and Fei Chen, Investigation of Neural Network Approaches for Unified Spectral and Prosodic Feature Enhancement, APSIPA Annual Summit and Conference (APSIPA ASC 2019), November 2019.
  • Qian-Bei Hong, Chung-Hsien Wu, Ming-Hsiang Su and Hsin-Min Wang, Sequential Speaker Embedding and Transfer Learning for Text-Independent Speaker Identification, APSIPA Annual Summit and Conference (APSIPA ASC 2019), November 2019.
  • Tassadaq Hussain, Yu Tsao, Hsin-Min Wang, Jia-Ching Wang, Sabato Marco Siniscalchi and Wen-Hung Liao, Compressed Multimodel Hierarchical Extreme Learning Machine for Speech Enhancement, APSIPA Annual Summit and Conference (APSIPA ASC 2019), November 2019.
  • Hsiao-Tzu Hung, Chung-Yang Wang, Yi-Hsuan Yang and Hsin-Min Wang, Improving Automatic Jazz Melody Generation by Transfer Learning Techniques, APSIPA Annual Summit and Conference (APSIPA ASC 2019), November 2019.
  • Kuan-Yi Kang, Yi-Wen Liu, and Hsin-Min Wang, Influences of Prosodic Feature Replacement on the Perceived Singing Voice Identity, The 31st ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2019), October 2019.
  • Xuan-Bo Chen, Yueh-Ting Lee, Hung-Shin Lee, Jyh-Shing Roger Jang, and Hsin-Min Wang, Mandarin Mispronunciation Detection and Diagnosis Feedback Using Articulatory Attributes Based Multi-task Learning, Oriental COCOSDA 2019: International Conference on Speech Databases and Assessments, October 2019.
  • Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang, MOSNet: Deep Learning based Objective Assessment for Voice Conversion, Interspeech2019, September 2019.
  • Pin-Tuan Huang, Hung-Shin Lee, Syu-Siang Wang, Kuan-Yu Chen, Yu Tsao, Hsin-Min Wang, Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR, Interspeech2019, September 2019, (Student Travel Grant).
  • Ryandhimas Edo Zezario, Szu-wei Fu, Xugang Lu, Hsin-Min Wang and Yu Tsao, Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric, Interspeech2019, September 2019.
  • Chien-Feng Liao, Yu Tsao, Hung-Yi Lee, Hsin-Min Wang, Noise Adaptive Speech Enhancement using Domain Adversarial Training, Interspeech2019, September 2019, (Student Travel Grant).
  • Wen-Chin Huang, Yi-Chiao Wu, Kazuhiro Kobayashi, Yu-Huai Peng, Hsin-Te Hwang, Patrick Lumban Tobing, Yu Tsao, Hsin-Min Wang, and Tomoki Toda, Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion, 10th ISCA Speech Synthesis Workshop, September 2019.
  • Wen-Chin Huang, Yi-Chiao Wu, Hsin-Te Hwang, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, and Hsin-Min Wang, Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion, EUSIPCO2019, September 2019.
  • Tassadaq Hussain, Yu Tsao, Hsin-Min Wang, Jia-Ching Wang, Sabato Marco Siniscalchi, and Wen-Hung Liao, Audio-Visual Speech Enhancement using Hierarchical Extreme Learning Machine, EUSIPCO2019, September 2019.
  • Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang, Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion, Interspeech2019, September 2019, (Student Travel Grant).
  • Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang, Yu Tsao, Hsin-Min Wang, and Tai-Shih Chi, Reinforcement Learning based Speech Enhancement for Robust Speech Recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), May 2019.
  • Tassadaq Hussain, Yu Tsao, Sabato Marco Siniscalchi, Jia-Ching Wang, Hsin-Min Wang and Wen-Hung Liao, Bone-conducted Speech Enhancement using Hierarchical Extreme Learning Machine, International Workshop on Spoken Dialogue Systems (IWSDS 2019), April 2019.

Wu, Jan-Jan (吳真貞)

  • Yu-Tung Hsieh, Chuan-Yu Lee, Ching-Chi Lin, Pangfeng Liu, and Jan-Jan Wu, A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction, IEEE International Conference on Big Data, Los Angeles, CA, USA, December 2019.
  • Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Optimizing Data Permutations in Structured Loads/Stores Translation and SIMD Register Mapping for a Cross-ISA Dynamic Binary Translator, Journal of Systems Architecture (JSA), September 2019.
  • Olivier Valery, Pangfeng Liu, Jan-Jan Wu, A collaborative CPU‐GPU approach for deep learning on mobile devices, Concurrency and Computation: Practice and Experience, September 2019.
  • Chih-Min Lin, Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu, Exploiting Vector Processing in Dynamic Binary Translation, the International Conference on Parallel Processing (ICPP), Kyoto, Japan, August 2019.
  • Ding-Yong Hong, Shih-Kai Lin, Sheng-Yu Fu, Jan-Jan Wu, Wei-Chung Hsu, Enhancing Transactional Memory Execution via Dynamic Binary Translation, ACM Applied Computing Review (ACR), April 2019.
  • Yu-Ping Liu, Ding-Yong Hong, Jan-Jan Wu, Sheng-Yu Fu, Wei-Chung Hsu, Exploiting SIMD Asymmetry in ARM-to-x86 Dynamic Binary Translation, ACM Transactions on Architecture and Code Optimization (TACO), February 2019.
  • Ding-Yong Hong, Jan-Jan Wu, Yu-Ping Liu, Sheng-Yu Fu, Wei-Chung Hsu, Processor-Tracing Guided Region Formation in Dynamic Binary Translation, High Performance and Embedded Architecture and Compilation (HiPEAC), Valencia, Spain, January 2019.

Yang, Bo-Yin (楊柏因)

  • Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, Verifying Arithmetic in Cryptographic C Programs, Automated Software Engineering Conference, November 2019.
  • Yu-Fu Fu, Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, Signed Cryptographic Program Verification with Typed CryptoLine, ACM CCS 2019, November 2019.
  • D. J. Bernstein and Bo-Yin Yang, Fast constant-time gcd computation and modular inversion, IACR Transactions on Cryptographic Hardware and Embedded Systems, April 2019.

Yang, De-Nian (楊得年)

  • Y.-W. Teng, Y. Shi, J.-Y. Tsai, H.-H. Shuai, C.-H. Tai, and D.-N. Yang, Optimizing Social-Topic Engagement on Social Network and Knowledge Graph, IEEE Global Communications Conference (IEEE GLOBECOM), December 2019.
  • Y.-X. Chen, C.-H. Wang, D.-N. Yang, and W. Liao, Bandwidth Constrained Holographic Telepresence with 3D Model Reconstruction, IEEE Global Communications Conference (IEEE GLOBECOM), December 2019.
  • Y.-L. Chen, D.-N. Yang, C.-Y. Shen, W.-C. Lee, and M.-S. Chen, On Efficient Processing of Group and Subsequent Queries for Social Activity Planning, IEEE Trans. on Knowledge and Data Engineering, December 2019.
  • H.-C. Lai, H.-H. Shuai, D.-N. Yang, J.-L. Huang, W.-C. Lee and P. S. Yu, Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization, ACM International Conference on Information and Knowledge Management (ACM CIKM), November 2019, (acceptance rate = 19%).
  • S.-H. Ko, Y.-C. Lin, H.-C. Lai, W.-C. Lee, and D.-N. Yang, On VR Spatial Query for Dual Entangled Worlds, ACM International Conference on Information and Knowledge Management (ACM CIKM), November 2019, (acceptance rate = 19%).
  • J.-J. Kuo, S.-H. Chiang, S.-H. Shen, D.-N. Yang, and W.-T. Chen, Dynamic Multicast Traffic Engineering with Efficient Rerouting for Software-Defined Networks, IEEE Conference on Computer Communications (IEEE INFOCOM), April 2019, (accepting rate = 18%).
  • T.-C. Chang, Y. Shi, D.-N. Yang, and W.-T. Chen, Seed Selection and Social Coupon Allocation for Redemption Maximization in Online Social Networks, IEEE International Conference on Data Engineering (IEEE ICDE), April 2019, (full research paper).
  • C.-H. Yang, C.-H. Wang, D.-N. Yang, and W.-T. Chen, Accuracy and Precision-Aware IoT Device Selection in Mobile Edge Networks, IEEE Wireless Communications and Networking Conference (IEEE WCNC), March 2019.

Yeh, Mi-Yen (葉彌妍)

  • Yu-Chen Wu, Mi-Yen Yeh, and Tei-Wei Kuo, Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation, 2019 IEEE International Conference on Big Data (Big Data 2019), August 2019.
  • Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh and Shou-De Lin, Multi-relational Network Embeddings with Relational Proximity and Node Attributes, The Web Conference 2019 (WWW-2019), May 2019.
  • Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, and Shou-De Lin, DeepRank: improving unsupervised node ranking via link discovery, Data Mining and Knowledge Discovery, March 2019.