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)

  • 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).
  • 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).
  • 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).
  • 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).
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Chen, Chu-Song (陳祝嵩)

  • 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)

  • 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)

  • 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.
  • J. Syu, M. Wu, C. Chen and J. 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), Barcelona, Spain, 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.
  • Jia-Hao Syu, Mu-En Wu, Shin-Huah Lee, and Jan-Ming Ho, On the Design of Profitable Index Based on the Mechanism of Random Tradings, ACIIDS 2020 : Asian Conference on Intelligent Information and Database Systems, also In: Sitek P., Pietranik M., Krótkiewicz M., Srinilta C. (eds) Intelligent Information and Database Systems., 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)

  • 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)

  • 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.
  • 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.
  • 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.

Liao, Mark (廖弘源)

  • 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).
  • 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.
  • 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.
  • Yueh-Hua Wu, I-Hau Yeh, David Hu, and H.-Y. Mark Liao, Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization, Archive paper, 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.

Lin, Chung-Yen (林仲彥)

  • 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).

Liu, Jing-Sin (劉進興)

  • J-Y Lin and J.-S. Liu, Reduce of convolutional neural network calculation on UAV Vision application, IEEE 2020 ICCE-TW, Tao-Yuan, Taiwan, September 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.
  • 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.

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, 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)

  • 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.
  • 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), 2020.

Su, Keh-Yih (蘇克毅)

  • 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)

  • 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-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.
  • 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)

  • 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.
  • 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.

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.

Tsai, Meng-Tsung (蔡孟宗)

  • Yi-Jun Chang, Martin Farach-Colton, Tsan-sheng Hsu, and Meng-Tsung Tsai, Streaming Complexity of Spanning Tree Computation, 37th International Symposium on Theoretical Aspects of Computer Science (STACS'20), March 2020.

Wang, Hsin-Min (王新民)

  • 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.
  • 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.
  • 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.
  • Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, and Hsin-Min Wang, Lite Audio-Visual Speech Enhancement, Interspeech2020, October 2020.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Yang, De-Nian (楊得年)

  • H.-C. Lai, H.-H. Shuai, J.-L. Huang, J.-Y. Tsai and 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%).
  • 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.
  • 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.
  • 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%).