中央研究院 資訊科學研究所

研究概況

友善列印

2020 著作目錄

Chang, Yuan-Hao (張原豪)

  • Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Hsin-Wen Wei, and Wei-Kuan Shih, B*-sort: Enabling Write-once Sorting for Non-volatile Memory, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), December 2020.
  • Yao-Wen Kang, Chun-Feng Wu, Yuan-Hao Chang, Tei-Wei Kuo, and Shu-Yin Ho, On Minimizing Analog Variation Errors to Resolve the Scalability Issue of ReRAM-based Crossbar Accelerator, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2020, (Integrated with ACM/IEEE EMSOFT'20).
  • Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, and Tei-Wei Kuo, When Storage Response Time Catches Up with Overall Context Switch Overhead, What is Next?, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2020, (Integrated with ACM/IEEE CODES+ISSS'20).
  • Yun-Shan Hsieh, Po-Chun Huang, Ping-Xiang Chen, Yuan-Hao Chang, Wang Kang, Ming-Chang Yang, and Wei-Kuan Shih, Shift-limited Sort: Optimizing Sorting Performance on Skyrmion Memory based Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2020, (Integrated with ACM/IEEE CODES+ISSS'20).
  • Gaddisa Olani Ganfure, Chun-Feng Wu, Yuan-Hao Chang, and Wei-Kuan Shih, DeepPrefetcher: A Deep Learning Framework for Data Prefetching in Flash Storage Devices, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2020, (Integrated with ACM/IEEE CASES'20).
  • Gaddisa Olani Ganfure, Chun-Feng Wu, Yuan-Hao Chang, and Wei-Kuan Shih, DeepGuard: Deep Generative User-behavior Analytics for Ransomware Detection, IEEE International Conference on Intelligence and Security Informatics (ISI), November 2020.
  • Yun-Sheng Chang, Yao Hsiao, Tzu-Chi Lin, Che-Wei Tsao, Chun-Feng Wu, Yuan-Hao Chang, Hsiang-Shang Ko, and Yu-Fang Chen, Determinizing Crash Behavior with a Verified Snapshot-Consistent Flash Translation Layer, USENIX Symposium on Operating Systems Design and Implementation (OSDI), November 2020, (Acceptance rate: 17.6% (70/398)) (Top Conference).
  • Yu-Chen Lin, Tse-Yuan Wang, Che-Wei Tsao, Yuan-Hao Chang, Jian-Jia Chen, Xue Liu, and Tei-Wei Kuo, Overheating-Avoidance Remapping Scheme for Reliability Enhancement of 3D PCM Storage Systems, ACM Research in Adaptive and Convergent Systems (RACS), October 2020.
  • Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, and Tei-Wei Kuo, When Storage Response Time Catches Up with Overall Context Switch Overhead, What is Next?, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September 2020, (Journal Track, Integrated with IEEE TCAD) (Top Conference).
  • Gaddisa Olani Ganfure, Chun-Feng Wu, Yuan-Hao Chang, and Wei-Kuan Shih, DeepPrefetcher: A Deep Learning Framework for Data Prefetching in Flash Storage Devices, ACM/IEEE International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), September 2020, (Journal Track, Integrated with IEEE TCAD) (Top Conference).
  • Yao-Wen Kang, Chun-Feng Wu, Yuan-Hao Chang, Tei-Wei Kuo, and Shu-Yin Ho, On Minimizing Analog Variation Errors to Resolve the Scalability Issue of ReRAM-based Crossbar Accelerator, ACM/IEEE International Conference on Embedded Software (EMSOFT), September 2020, (Journal Track, Integrated with IEEE TCAD) (Top Conference).
  • Yun-Shan Hsieh, Po-Chun Huang, Ping-Xiang Chen, Yuan-Hao Chang, Wang Kang, Ming-Chang Yang, and Wei-Kuan Shih, Shift-limited Sort: Optimizing Sorting Performance on Skyrmion Memory based Systems, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September 2020, (Journal Track, Integrated with IEEE TCAD) (Top Conference).
  • Tseng-Yi Chen, Yuan-Hao Chang, Ming-Chang Yang, and Huang-Wei Chen, How to Cultivate a Green Decision Tree without Loss of Accuracy?, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2020, (Best Paper Award - Top Conference).
  • Wei-Chun Cheng, Shuo-Han Chen, Yuan-Hao Chang, Kuan-Hsun Chen, Jian-Jia Chen, Tseng-Yi Chen, Ming-Chang Yang, and Wei-Kuan Shih, Alleviating the Uneven Bit-Level Wearing of NVRAM-based FTL via NAND-SPIN, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2020.
  • Christian Hakert, Kuan-Hsun Chen, Simon Kuenzer, Sharan Santhanam, Shuo-Han Chen, Yuan-Hao Chang, Felipe Huici, and Jian-Jia Chen, Split'n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2020.
  • Yueh-Han Wu, Tse-Yuan Wang, Yuan-Hao Chang, Tei-Wei Kuo, and Hung-Sheng Chang, A Kernel Unfolding Approach to Trade Data Movement with Computation Power for CNN Acceleration, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2020.
  • Yi-Jing Chuang, Shuo-Han Chen, Yuan-Hao Chang, Yu-Pei Liang, Hsin-Wen Wei, and Wei-Kuan Shih, DSTL: A Demand-based Shingled Translation Layer for Enabling Adaptive Address Mapping on SMR Drives, ACM Transactions on Embedded Computing Systems (TECS), July 2020.
  • Wei-Lin Wang, Tseng-Yi Chen, Yuan-Hao Chang, Hsin-Wen Wei, and Wei-Kuan Shih, How to Cut Out Expired Data with Nearly Zero Overhead for Solid-State Drives, ACM/IEEE Design Automation Conference (DAC), July 2020, (Top Conference).
  • Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, and Yung-Hsiang Lu, A Real-Time Feature Indexing System on Live Video Streams, IEEE Computer Software and Applications Conference (COMPSAC), July 2020.
  • Shuo-Han Chen, Che-Wei Tsao, and Yuan-Hao Chang, Beyond Address Mapping: A User-Oriented Multi-Regional Space Management Design for 3D NAND Flash Memory, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), June 2020.
  • Ming-Chang Yang, Yuan-Hao Chang, Tei-Wei Kuo, and Chun-Feng Wu, Request Flow Coordination for Growing-Scale Solid-State Drives, IEEE Transactions on Computers (TC), June 2020.
  • Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, and Tei-Wei Kuo, Joint Management of CPU and NVDIMM for Breaking Down the Great Memory Wall, IEEE Transactions on Computers (TC), May 2020.
  • Shuo-Han Chen, Yu-Pei Liang, Yuan-Hao Chang, Yun-Fei Liu, Chun-Feng Wu, Hsin-Wen Wei, and Wei-Kuan Shih, Reinforcing the Energy Efficiency of Cyber-Physical Systems via Direct and Split Cache Consolidation on MLC STT-RAM, ACM Symposium on Applied Computing (SAC), March 2020.
  • Wei-Chen Wang, Chien-Chung Ho, Yu-Ming Chang, and Yuan-Hao Chang, Challenges and Designs for Secure Deletion in Storage Systems, IEEE International Conference on Computing, Analytics and Networks (ICAN), February 2020.
  • Shuo-Han Chen, Tseng-Yi Chen, Yuan-Hao Chang, Hsin-Wen Wei, and Wei-Kuan Shih, A Partial Page Cache Strategy for NVRAM-Based Storage Devices, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), February 2020.
  • Shuo-Han Chen, Yu-Pei Liang, Yuan-Hao Chang, Hsin-Wen Wei and Wei-Kuan Shih, Boosting the Profitability of NVRAM-based Storage Devices via the Concept of Dual-Chunking Data Deduplication, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2020.
  • Yen-Ting Chen, Ming-Chang Yang, Yuan-Hao Chang, and Wei-Kuan Shih, Parallel-Log-Single-Compaction-Tree: Flash-Friendly Two-Level Key-Value Management in KVSSDs, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2020.

Chen, Chu-Song (陳祝嵩)

  • Cheng-Hao Tu, Cheng-En Wu, and Chu-Song Chen, Extending Conditional Convolution Structures for Enhancing Multitasking Continual Learning, Asia-Pacific Signal and Information Processing Association, APSIPA 2020, December 2020.
  • Cheng-En Wu , Jia-Hong Lee, Timmy S.T. Wan, Yi-Ming Chan, and Chu-Song Chen, Merging Well-Trained Deep CNN Models for Efficient Inference, Asia-Pacific Signal and Information Processing Association, APSIPA 2020, December 2020.
  • Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen, Cross-batch Reference Learning for Deep Retrieval, IEEE Transactions on Neural Networks and Learning Systems, September 2020.
  • Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, Pruning Depthwise Separable Convolutions for MobileNet Compression, International Joint Conference on Neural Networks, IJCNN 2020, July 2020.
  • Tsung-Hung Hsieh, Jun-Cheng Chen, and Chu-Song Chen, Label Reuse for Efficient Semi-Supervised Learning, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, May 2020.

Chen, Ling-Jyh (陳伶志)

  • Yao-Hua Ho, Pei-En Li, Ling-Jyh Chen, and Yu-Lun Liu, Indoor Air Quality Monitoring System for Proactive Control of Respiratory Infectious Diseases, ACM Conference on Embedded Networked Sensor Systems (ACM SenSys'20), Yokohama, Japan, November 2020.
  • Sheng-Chun Wu, Dong-Yi Wu, Fu-Hsiang Ching, and Ling-Jyh Chen, Participatory Sound Meter Calibration System for Mobile Devices, ACM Conference on Embedded Networked Sensor Systems (ACM SenSys'20), Yokohama, Japan, November 2020.
  • Chi-Chang Ho, Ling-Jyh Chen, and Jing-Shiang Hwang, Estimating ground-level PM2.5 levels in Taiwan using data from air quality monitoring stations and high coverage of microsensors, Environmental Pollution, Elsevier, September 2020.
  • Jiayu Li, Huang Zhang, Chun-Ying Chao, Chih-Hsiang Chien, Chang-Yu Wu, Cyuan Heng Luo, Ling-Jyh Chen, and Pratim Biswas, Integrating Low-cost Air Quality Sensor Networks with Fixed and Satellite Monitoring Systems to Study Ground-level PM2.5 Atmospheric Environment, Atmospheric Environment, Elsevier, February 2020.

Chen, Meng Chang (陳孟彰)

  • Ting-Wei Hsu, Chung-Chi Chen, Hen-Hsen Huang, Meng Chang Chen and Hsin-Hsi Chen, Hedging via Opinion-based Pair Trading Strategy, WWW '20: The Web Conference 2020, April 2020.
  • Tzu-ChiYang, Meng Chang Chen and Sherry Y. Chen, Incorporating Digital Games into Anti-drug materials: non-drug addicted learners vs. drug addicted learners, Universal Access in the Information Society, March 2020.
  • Shun-Wen Hsiao, Yeali Sun, Meng Chang Chen, Hardware-Assisted MMU Redirection for In-guest Monitoring and API Profiling, IEEE Transactions on Information Forensics & Security, January 2020.

Chung, Kai-Min (鐘楷閔)

  • Kai-Min Chung, Siyao Guo, Qipeng Liu and Luowen Qian, Tight Quantum Time-Space Tradeoffs for Function Inversion, The 61st Annual IEEE Symposium on Foundations of Computer Science (FOCS), November 2020.
  • Kai-Min Chung, Kuan-Yi Ho and Xiaorui Sun, On the Hardness of Massively Parallel Computation, The 32nd ACM Symposium on Parallelism in Algorithms and Architectures(SPAA 2020), July 2020.
  • Nai-Hui Chia, Kai-Min Chung, Ching-Yi Lai, On the Need for Large Quantum Depth, The 52nd Annual ACM Symposium on Theory of Computing 2020 (STOC 2020), June 2020.
  • Kai-Min Chung, Tai-Ning Liao, Luowen Qian, Lower Bounds for Function Inversion with Quantum Advice, The 1st Information-Theoretic Cryptography (ITC 2020), June 2020.
  • T-H. Hubert Chan, Kai-Min Chung, Wei-Kai Lin and Elaine Shi, MPC for MPC: Secure Computation on a Massively Parallel Computing Architecture, The 11th Innovations in Theoretical Computer Science (ITCS 2020), January 2020.

Ho, Jan-Ming (何建明)

  • Yu-Chi Liu, Meng-Huang Lee,Shin-Hung Chang, Wei-Chun Chung, Kuan-Jen Wang, Jan-Ming Ho, and Ray-I Chang, Scheduling for the QOE Optimization of DASH Streaming, Journal of Information Science and Engineering, November 2020.
  • Hsiang-Chi Chen; Jia-Hao Syu; Jan-Ming Ho, Neural Network-based ORB Strategies for Threshold Classification on Taiwan Futures Market, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, Canada, October 2020.
  • Jia-Hao Syu; Mu-En Wu; Jan-Ming Ho, Portfolio Management System with Reinforcement Learning, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, Canada, October 2020.
  • Wei-Lun Peng, Yung-Wen Lan, , Shih-Gang Chen, Faa-Jeng Lin, Ray-I Chang and Jan-Ming Ho, Reinforcement Learning Control for Six-Phase Permanent Magnet Synchronous Motor Position Servo Drive, Proc. 3rd IEEE International Conference on Knowledge Innovation and Invention 2020 (IEEE ICKII 2020), July 2020.
  • SH Chang, KJ Wang, JM Ho, An optimal scheduling algorithm for DASH video streaming over variable bit rate networks, International Journal of Ad Hoc and Ubiquitous Computing, June 2020.
  • Jia-Hao Syu, Mu-En Wu, Chun-Hao Chen, and Jan-Ming Ho, Threshold-Adjusted ORB Strategies with Genetic Algorithm and Protective Closing Strategy on Taiwan Futures Market, ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020.
  • Sheng-Yao Su, I-Hsuan Lu, Wen-Chih Cheng, Wei-Chun Chung, Pao-Yang Chen, Jan-Ming Ho, Shu-Hwa Chen, Chung-Yen Lin, EpiMOLAS: An Intuitive Web-based Framework for Genome-wide DNA Methylation Analysis, BMC Genomics, April 2020, From International Conference on Bioinformatics (InCoB 2019) Jakarta, Indonesia. 10-12 September 2019.
  • Syu JH., Wu ME., Lee SH., Ho JM., On the Design of Profitable Index Based on the Mechanism of Random Tradings, Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore., March 2020.

Hsu, Tsan-sheng (徐讚昇)

  • Yi-Jun Chang, Martin Farach-Colton, Tsan-sheng Hsu and Meng-Tsung Tsai, Streaming Complexity of Spanning Tree Computation, Proceedings of the 37th International Symposium on Theoretical Aspects of Computer Science (STACS 2020), Dagstuhl, Germany, March 2020.

Hsu, Wen-Lian (許聞廉)

  • Ming-Siang Huang, Po-Ting Lai, Pei-Yen Lin, Yu-Ting You, Richard Tzong-Han Tsai and Wen-Lian Hsu, Biomedical Named Entity Recognition and Linking Datasets: Survey and Our Recent Development, Briefings in Bioinformatics, July 2020.
  • Hsin-Nan Lin ,Wen-Lian Hsu, GSAlign: an efficient sequence alignment tool for intra-species genomes, BMC Genomics, February 2020.

Hwang, Wen-Liang (黃文良)

  • Andreas Heinecke, Jinn Ho, Wen-Liang Hwang, Refinement and universal approximation via sparsely connected ReLU convolution nets, IEEE Signal Processing Letters, June 2020.

Ko, Hsiang-Shang (柯向上)

  • Yun-Sheng Chang, Yao Hsiao, Tzu-Chi Lin, Che-Wei Tsao, Chun-Feng Wu, Yuan-Hao Chang, Hsiang-Shang Ko, and Yu-Fang Chen, Determinizing crash behavior with a verified snapshot-consistent flash translation layer, Symposium on Operating Systems Design and Implementation (OSDI), November 2020.
  • Anthony Anjorin, Thomas Buchmann, Bernhard Westfechtel, Zinovy Diskin, Hsiang-Shang Ko, Romina Eramo, Georg Hinkel, Leila Samimi-Dehkordi, and Albert Zündorf, Benchmarking bidirectional transformations: Theory, implementation, application, and assessment, Software and Systems Modeling, May 2020.
  • Zirun Zhu, Hsiang-Shang Ko, Yongzhe Zhang, Pedro Martins, João Saraiva, and Zhenjiang Hu, Unifying parsing and reflective printing for fully disambiguated grammars, New Generation Computing, April 2020.

Ku, Lun-Wei (古倫維)

  • Boaz Shmueli, Lun-Wei Ku and Soumya Ray, Reactive Supervision: A New Method for Collecting Sarcasm Data, Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020.
  • Yun-Hsuan Jen, Chieh-Yang Huang, MeiHua Chen, Ting-Hao Huang and Lun-Wei Ku, Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent, Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020.
  • Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu and Lun-Wei Ku, MVIN: Learning multiview items for recommendation, the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), July 2020.
  • Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Huang, Lun-Wei Ku, Knowledge-Enriched Visual Storytelling, the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), February 2020.
  • YunZhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng, Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation, the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), February 2020.
  • Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku, Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System, Dialog System Technology Challenge (DSTC8) Workshop in the 34rd AAAI Conference on Artificial Intelligence (AAAI 2020), February 2020.

Liao, Mark (廖弘源)

  • Chien-Yao Wang, Alexey Bochkovskiy, and H. Y. Mark Liao, Scaled-YOLOv4: Scaling Cross Stage Partial Network, arXiv:2011.08036vl, November 2020.
  • Jen-Chun Lin, Wen-Li Wei, Yen-Yu Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism, ACM Multimedia Conference, Online (Seattle, USA), October 2020, (ACM MM).
  • C. Y. Wang, H. Y. Mark Liao, Y. H. Wu, P. Y. Chen, J. W. Hsieh, and I. H. Yeh, CSPNet: A New Backbone that can Enhance Learning Capability of CNN, IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on ``Low power computer vision'', Seattle, USA, June 2020.
  • P. Y. Chen, J. W. Hsieh, C. Y. Wang, and H. Y. Mark Liao, Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object Detection on Embedded Devices, IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on ``Low Power Computer Vision'', Seattle, USA, June 2020.
  • Yueh-Hua Wu, I-Hau Yeh, David Hu, and H.-Y. Mark Liao, Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization, arXiv:2005.09624, May 2020.
  • Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao, YOLOv4: Optimal Speed and Accuracy of Object Detection, arXiv:2004.10934vl, April 2020.

Liau, Churn-Jung (廖純中)

  • Y.R. Syau, E.B. Lin, C.J. Liau, Fuzzy binary rough set, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, April 2020.

Lin, Chung-Yen (林仲彥)

  • Tzu-Tang Lin, Li-Yen Yang, I-Hsuan Lu, Wen-Chih Cheng, Zhe-Ren Hsu, Shu-Hwa Chen, Chung-Yen Lin, AI4AMP: Sequence-based antimicrobial peptides predictor using physicochemical properties-based encoding method and deep learning, BioRxiv, December 2020.
  • Chen Yen-Cheng, Miao Zhi-Feng, Yip Kwan-Ling, Cheng Yi-An, Liu Chung-Jung, Li Ling-Hui, Lin Chung-Yen, Wang Jiunn-Wei, Wu Deng-Chyang, Cheng Tian-Lu, Wang Jaw-Yuan, Gut Fecal Microbiota Transplant in a Mouse Model of Orthotopic Rectal Cancer, Frontier in Oncology, October 2020.
  • Ying-Chieh Ko, Ting-Yu Lai, Shu-Ching Hsu,Fu-Hui Wang, Sheng-Yao Su, Yu-Lian Chen, Min-Lung Tsai, Chung-Chun Wu, Jenn-Ren Hsiao, Jang-Yang Chang, Yi-Mi Wu, Dan R Robinson, Chung-Yen Lin, Su-Fang Lin, Index of Cancer-Associated Fibroblasts Is Superior to the Epithelial-Mesenchymal Transition Score in Prognosis Prediction, Cancers, July 2020, IF=6.37.
  • Kun-Yang Lin, Wen-Der Wang, Chi-Hung Lin, Elham Rastegari, Yu-Han Su, Yi-Chieh Chang, Yu-Tzu Chang, Yung-Feng Liao, Haiwei Pi, Bo-Yi Yu, Shu-Hwa Chen, Chung-Yen Lin, Mei-Yeh Lu, Tsu-Yi Su, Fei-Yang Tzou, Chih-Chiang Chan, and Hwei-jan Hsu, Piwi Reduction in the Aged Niche Eliminates Germline Stem Cells via Toll-GSK3 Signaling, Nature Communications, June 2020, IF=11.88.
  • Sheng-Yao Su, I-Hsuan Lu, Wen-Chih Cheng, Wei-Chun Chung, Pao-Yang Chen, Jan-Ming Ho, Shu-Hwa Chen, Chung-Yen Lin, EpiMOLAS: An Intuitive Web-based Framework for Genome-wide DNA Methylation Analysis, BMC Genomics, April 2020, From International Conference on Bioinformatics (InCoB 2019) Jakarta, Indonesia. 10-12 September 2019.
  • Wen-Chun Huang, Chung-Yen Lin, Masayuki Hashimoto, Jiunn-Jong Wu, Ming-Cheng Wang, Wei-Hung Lin, Chang-Shi Chen & Ching-Hao Teng, The role of the bacterial protease Prc in the uropathogenesis of extraintestinal pathogenic Escherichia coli, Journal of Biomedical Science, January 2020, (IF= 5.2).

Lin, Jen-Chun (林仁俊)

  • Jen-Chun Lin, Wen-Li Wei, Yen-Yu Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism, ACM Multimedia Conference, Online (Seattle, USA), October 2020, (ACM MM).

Liu, Jing-Sin (劉進興)

  • TW Hsu and JS Liu, Convex hull determination method for generating Bézier curve followed by Trailer-tractor System, Automation 2020, Hualien, Taiwan, November 2020.
  • H.-J.Chou, J.-S.Liu and, W.-C.Tung, Numerical Simulation of Collision-free Near-shortest Path Generation for Dubins Vehicle via Hamilton-Jacobi-Bellman Equation: A case study, Cogent Engineering, July 2020.
  • TW Hsu and JS Liu, Design of smooth path based on the conversion between eta3 spline and Bezier curve, 2020 American Control Conference, Denver, CO, USA, July 2020.

Liu, Tyng-Luh (劉庭祿)

  • Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, and Tyng-Luh Liu, Video Summarization with Anchors and Multi-head Attention, IEEE International Conference on Image Processing, Online (United Arab Emirates), October 2020.
  • He-Yen Hsieh, Ding-Jie Chen, and Tyng-Luh Liu, Temporal Action Proposal Generation via Deep Feature Enhancement, IEEE International Conference on Image Processing, Online (United Arab Emirates), October 2020.
  • Jen-Chun Lin, Wen-Li Wei, Yen-Yu Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism, ACM Multimedia Conference, Online (Seattle, USA), October 2020, (ACM MM).
  • Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, and Tyng-Luh Liu, Self-similarity Student for Partial Label Histopathology Image Segmentation, 16th European Conference on Computer Vision (ECCV), Online, August 2020, (ECCV).
  • Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee and Tyng-Luh Liu, Query-Driven Multi-Instance Learning, Thirty-Fourth AAAI Conference on Artificial Intelligence, February 2020, (AAAI).

Lu, Chun-Shien (呂俊賢)

  • Ching-Lun Tai, Sung-Hsien Hsieh, and Chun-Shien Lu, Greedy Algorithms for Hybrid Compressed Sensing, IEEE Signal Processing Letters, December 2020.
  • Wan-Hsuan Lin and Chun-Shien Lu, Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs, The 28th International Conference on Computation Linguistics (COLING), December 2020.
  • Gang-Xuan Lin and Chun-Shien Lu, QISTA-NET: DNN ARCHITECTURE TO SOLVE l_q-NORM MINIMIZATION PROBLEM, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), September 2020.
  • Shih-Wei Hu, Gang-Xuan Lin, and Chun-Shien Lu, GPX-ADMM-Net: ADMM-based Neural Network with Generalized Proximal Operator, The 28th European Signal Processing Conference (EUSIPCO 2020), August 2020, Postponed to Jan. 18-22, 2021 (due to COVID-19).
  • Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu, and Soo-Chang Pei, Distributed Compressive Sensing: Performance Analysis with Diverse Signal Ensembles, IEEE Trans. on Signal Processing, June 2020.
  • Yi-Lin Sung, Sung-Hsien Hsieh, Soo-Chang Pei, and Chun-Shien Lu, Difference-Seeking Generative Adversarial Network--Unseen Sample Generation, International Conference on Learning Representations (ICLR), April 2020.
  • Chia-Mu, Yu, Sarada Gochhayat, Mauro Conti, and Chun-Shien, Lu, Privacy Aware Data Deduplication for Side Channel in Cloud Storage, IEEE Trans. on Cloud Computing, February 2020.

Ma, Wei-Yun (馬偉雲)

  • Cheng-Hsun Hsueh, Wei-Yun Ma, Semantic Guidance of Dialogue Generation with Reinforcement Learning, SigDial, July 2020.
  • Mu Yang, Chi-Yen Chen, Yi-Hui Lee, Qian-Hui Zeng, Wei-Yun Ma, Headword-Oriented Entity Linking: A New Entity Linking Task with Dataset and Baseline, LREC, May 2020.
  • Peng-Hsuan Li, Tsan-Yu Yang, Wei-Yun Ma, CA-EHN: Commonsense Analogy from E-HowNet, LREC, May 2020.
  • Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu, Relation Extraction Exploiting Full Dependency Forests, the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), February 2020.
  • Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma, Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER, the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), February 2020.

Mu, Shin-Cheng (穆信成)

  • Shin-Cheng Mu and Tsung-Ju Chiang, Declarative pearl: deriving monadic Quicksort, Functional and Logic Programming (FLOPS 2020), September 2020.

Shih, Arthur Chun-Chieh (施純傑)

  • Chia-Ying Wu, Arthur Chun-Chieh Shih, Hsuan-Cheng Huang, Chun-Ping Yu, and Chien-Chang Chen, Refined Prediction of Mouse and Human Actions Based on A Data-Selective Multiple-Stage Approach of 3D Convolutional Neural Networks, he 2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2020), December 2020.
  • Yu-Wei Tsay, Wei-Hsin Chen, Chien-Chang Chen, and Arthur Chun-Chieh Shih, Detecting activated neurons in a sub-network level from calcium dynamic images, Taiwan Society for Neuroscience TSfN Congress, July 2020.

Su, Keh-Yih (蘇克毅)

  • Yan-Tong Lin, Meng-Tse Wu and Keh-Yih Su, Syntax-aware Natural Language Inference with Graph Matching Network, Proceedings of TAAI 2020, December 2020.
  • Jerry Lin, Meng-Tse Wu and Keh-Yih Su, Supporting Evidence Retrieval with Cross-sentence Coupling, Proceedings of TAAI 2020, December 2020.
  • Tzu-Man Wu and Keh-Yih Su, Making Negation-word Entailment Judgment via Supplementing BERT with Aggregative Pattern, Proceedings of TAAI 2020, Taipei, Taiwan, December 2020.
  • Chao-Chun Liang, Daniel Lee and Keh-Yih Su, Answering Chinese Elementary School Social Study Multiple Choice Questions, Proceedings of TAAI 2020, December 2020.
  • Shen-Yun Miao, Chao-Chun Liang, and Keh-Yih Su, A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers, Proceedings of ACL 2020, Seattle, USA, July 2020.
  • Qianlong Du, Chengqing Zong, and Keh-Yih Su, Enhancing Alignment with Context Similarity for Natural Language Inference, Chinese Journal of Intelligent Science and Technology, March 2020, (in Chinese).
  • Qianlong Du, Chengqing Zong, and Keh-Yih Su, Conducting Natural Language Inference with Word-Pair-Dependency and Local Context, ACM Transactions on Asian and Low-Resource Language Information Processing, February 2020.

Su, Li (蘇黎)

  • Tsai-Jyun Fan, Chien-Yu Lu, Wei-Chen Chiu, Li Su, and Che-Rung Lee, Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss, The 25th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), December 2020.
  • Yi-Chin Chuang and Li Su, Beat and downbeat tracking of symbolic music data using deep recurrent neural networks, Proc. Asia Pacific Signal and Infor. Proc. Asso. Annual Summit and Conf. (APSIPA ASC), December 2020.
  • Chin-Yun Yu, Jing-Hua Lin and Li Su, Harmonic preserving neural networks for efficient and robust multipitch estimation, Proc. Asia Pacific Signal and Infor. Proc. Asso. Annual Summit and Conf. (APSIPA ASC), December 2020.
  • Yu-Fen Huang, Jeng-I Liang, I-Chieh Wei, and Li Su, Joint analysis of mode and playing technique in Guqin performance with machine learning, International Society for Music Information Retrieval Conference (ISMIR), October 2020.
  • Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih, Pei-Yi (Patricia) Kuo, and Li Su, Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts, ACM International Conference on Multimedia (ACM MM), October 2020.
  • Hsuan-Kai Kao and Li Su, Temporally Guided Music-to-Body-Movement Generation, ACM International Conference on Multimedia (ACM MM), October 2020.
  • Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, and Li Su, A Human-Computer Duet System for Music Performance, ACM International Conference on Multimedia (ACM MM), October 2020.
  • Tsung-Ping Chen, Satoru Fukayama, Masataka Goto, and Li Su, Chord Jazzification: Learn Jazz Interpretations of Chord Symbols, International Society for Music Information Retrieval Conference (ISMIR), October 2020.
  • Sangeun Kum, Jing-Hua Lin, Li Su, and Juhan Nam, Semi-supervised learning using teacher-student models for vocal melody extraction, International Society for Music Information Retrieval Conference (ISMIR), October 2020.
  • Yu-Te Wu, Berlin Chen, and Li Su, Multi-instrument Automatic Music Transcription with Self-Attention-Based Instance Segmentation, IEEE/ACM Trans. Audio, Signal Language Proc. (TASLP), October 2020.
  • Jun-Wei Liu, Hung-Yi Lin, Yu-Fen Huang, Hsuan-Kai Kao, Li Su, Body movement generation for expressive violin performance applying neural networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020.

Sung, Ting-Yi (宋定懿)

  • Yi-Ju Chen, Theodoros I Roumeliotis, Ya-Hsuan Chang, Ching-Tai Chen, Chia-Li Han*, Miao-Hsia Lin, Huei-Wen Chen, Gee-Chen Chang, Yih-Leong Chang, Chen-Tu Wu, Mong-Wei Lin, Min-Shu Hsieh, Yu-Tai Wang, Yet-Ran Chen, Inge Jonassen, Fatemeh Zamanzad Ghavidel, Ze-Shiang Lin, Kuen-Tyng Lin, Ching-Wen Chen, Pei-Yuan Sheu, Chen-Ting Hung, Ke-Chieh Huang, Hao-Chin Yang, Pei-Yi Lin, Ta-Chi Yen, Yi-Wei Lin, Jen-Hung Wang, Lovely Raghav, Chien-Yu Lin, Yan-Si Chen, Pei-Shan Wu, Chi-Ting Lai, Shao-Hsing Weng, Kang-Yi Su, Wei-Hung Chang, Pang-Yan Tsai, Ana I Robles, Henry Rodriguez, Yi-Jing Hsiao, Wen-Hsin Chang, Ting-Yi Sung*, Jin-Shing Chen*, Sung-Liang Yu*, Jyoti S Choudhary*, Hsuan-Yu Chen*, Pan-Chyr Yang*, and Yu-Ju Chen*, Proteogenomics of non-smoking lung cancer in East Asia delineates molecular signatures of pathogenesis and progression, Cell, July 2020.
  • Wai-Kok Choong, Jen-Hung Wang, Ting-Yi Sung, MinProtMaxVP: Generating a minimized number of protein variant sequences containing all possible variant peptides for proteogenomic analysis, Journal of Proteomics, July 2020.

Tsai, Huai-Kuang (蔡懷寬)

  • Chong, S.Y., Sutler, S., Lin, J.J., Tsai, C.H., Tsai, H.K., Biggins, S., Tsukiyama, T., Lo, Y.C., and Kao, C.F., H3K4 methylation at active genes mitigates transcription-replication conflicts during replication stress, Nature Communications, February 2020.
  • Chiang, S., Shinohara, H., Huang, J.H., Tsai, H. K., and Okada, M., Inferring the transcriptional regulatory mechanism of signal-dependent gene expression via an integrative computational approach, FEBS Letters, February 2020.

Wang, Chien-Min (王建民)

  • Joshua Ho and Chien-Min Wang, Explainable and Adaptable Augmentation in Knowledge Attention Network for Multi-Agent Deep Reinforcement Learning Systems, Proceedings of the Third IEEE International Conference on Artificial Intelligence and Knowledge Engineering, December 2020.
  • Yang Syu and Chien-Min Wang, QoS Time Series Modeling and Forecasting for Web Services: A Comprehensive Survey of Subsequent Applications and Experimental Configurations, Proceedings of the 17th International Conference on Services Computing, September 2020.

Wang, Hsin-Min (王新民)

  • Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, and Hsin-Min Wang, STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model, APSIPA Annual Summit and Conference (APSIPA ASC 2020), December 2020.
  • Xin Wang, Junichi Yamagishi, ..., Hsin-Min Wang, et al., ASVspoof 2019: a large-scale public database of synthetized, converted and replayed speech, Computer Speech and Language, November 2020, arXiv:1911.01601.
  • Hung-Shin Lee, Yu Tsao, Shyh-Kang Jeng, and Hsin-Min Wang, Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, November 2020.
  • Hao Yen, Pin-Jui Ku, Ming-Chi Yen, Hung-Shin Lee, and Hsin-Min Wang, Joint Training of Guided Learning and Mean Teacher Models for Sound Event Detection, The 5th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE2020), November 2020.
  • Pin-Yuan Chen, Chia-Hua Wu, Hung-Shin Lee, Shao-Kang Tsao, Ming-Tat Ko, and Hsin-Min Wang, Using Taigi Dramas with Mandarin Chinese Subtitles to Improve Taigi Speech Recognition, Oriental COCOSDA 2020: International Conference on Speech Databases and Assessments, November 2020.
  • Tsun-An Hsieh, Hsin-Min Wang, Xugang Lu, and Yu Tsao, WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement, IEEE Signal Processing Letters, November 2020, arXiv:2004.04098.
  • Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning, Interspeech2020, October 2020.
  • Yu-Huai Peng, Cheng-Hung Hu, Alexander Kang, Hung-Shin Lee, Pin-Yuan Chen, Yu Tsao and Hsin-Min Wang, The Academia Sinica Systems of Voice Conversion for VCC2020, Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020, October 2020.
  • Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, and Hsin-Min Wang, Lite Audio-Visual Speech Enhancement, Interspeech2020, October 2020.
  • Cheng Yu, Ryandhimas E. Zezario, Syu-Siang Wang, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, and Yu Tsao, Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders, IEEE/ACM Transactions on Audio, Speech, and Language Processing, October 2020, arXiv:2001.01538.
  • Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, and Hsin-Min Wang, Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion, IEEE Transactions on Emerging Topics in Computational Intelligence, August 2020, arXiv:2001.07849.
  • Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, and Chien-Lin Huang, Combining Deep Embeddings of Acoustic and Articulatory Features for Speaker Identification, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020.
  • Ryandhimas Edo Zezario, Tassadaq Hussain, Xugang Lu, Hsin-Min Wang, and Yu Tsao, Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020.
  • Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, and Chien-Lin Huang, Statistics Pooling Time Delay Neural Network Based on X-Vector for Speaker Verification, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020.
  • Hung-Shin Lee, Yu-Huai Peng, Pin-Tuan Huang, Ying-Chun Tseng, Chia-Hua Wu, Yu Tsao, and Hsin-Min Wang, The Academia Sinica Systems of Speech Recognition and Speaker Diarization for the CHiME-6 Challenge, The 6th International Workshop on Speech Processing in Everyday Environments (CHiME 2020), May 2020.
  • Chang-Le Liu, Sze-Wei Fu, You-Jin Li, Jen-Wei Huang, Hsin-Min Wang, and Yu Tsao, Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, February 2020, arXiv:1909.11909.

Wu, Jan-Jan (吳真貞)

  • Leo Chen, Pangfeng Liu, and Jan-Jan Wu, An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks, IEEE International Conference on Big Data, Atlanta, Georgia, USA (online conference), December 2020.
  • Ching Ya Liao, Pangfeng Liu and Jan-Jan Wu, Convolution Filter Pruning for Transfer Learning on Small Dataset, International Computer Symposium, Tainan, Taiwan., December 2020.
  • Tse-Wen Chen, Pangfeng Liu, and Jan-Jan Wu, Exploiting Data Entropy for Neural Network Compression, IEEE International Conference on Big Data, Machine Learning on Big Data Track, Atlanta, Georgia, USA (online conference), December 2020.

Yang, Bo-Yin (楊柏因)

  • W.-L. Huang, J.-P. Chen, and B.-Y. Yang,, Power Analysis on NTRU Prime, IACR Transactions on Cryptographic Hardware and Embedded Systems, September 2020.

Yang, De-Nian (楊得年)

  • R.-J. Wang, C.-H. Wang, G.-S. Lee, D.-N. Yang, W. T. Chen, and J.-P. Sheu, Resource Allocation in 5G with NOMA-Based Mixed Numerology Systems, IEEE Global Communications Conference (IEEE GLOBECOM), December 2020.
  • H.-C. Lai, H.-H. Shuai, J.-L. Huang, J.-Y. Tsai, W.-C. Lee, and D.-N. Yang, Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization, ACM International Conference on Information and Knowledge Management (ACM CIKM), November 2020, (accepting rate = 21%).
  • S.-H. Ko, H.-C. Lai, H.-H. Shuai, W.-C. Lee, P. S. Yu, and D.-N. Yang, Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping, International Conference on Very Large Data Bases (VLDB), September 2020.
  • C.-H. Wang, S.-H. Chiang, S.-H. Shen, D.-N. Yang, and W.-T. Chen, Multicast Traffic Engineering with Segment Trees in Software-Defined Networks, IEEE Conference on Computer Communications (IEEE INFOCOM), July 2020, (accepting rate = 19%).
  • C.-Y. Chen, C.-H. Wang, S.-H. Chiang, D.-N. Yang, and W. Liao, Multicast with View Synthesis for Wireless Virtual Reality, IEEE International Conference on Communications (IEEE ICC), June 2020.
  • Y. Shi, W.-H. Kuo, C.-W. Huang, Y.-C. Chou, S.-H. Fang, and D.-N. Yang, Cross-Layer Allocation Scheme for Multi-View Videos in Massive MIMO Networks, IEEE International Conference on Communications (IEEE ICC), June 2020.
  • H.-W. Chen, H.-H. Shuai, S.-D. Wang, and D.-N. Yang, Quality-Aware Streaming Network Embedding with Memory Refreshing, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2020, (accepting rate = 21%).
  • H.-J. Hung, W.-C. Lee, D.-N. Yang, C.-Y. Shen, Z. Lei, and S.-M. Chow, Efficient Algorithms towards Network Intervention, International World Wide Web Conference (WWW, The Web Conference), April 2020, (acceptance rate = 19%).

Yeh, Mi-Yen (葉彌妍)

  • Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, and Yi-Shin Chen, Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning, The 2020 international conference series on Advances in Social Network Analysis and Mining (ASONAM 2020), December 2020.