中央研究院 資訊科學研究所
中央研究院資訊科學研究所
  
著作目錄

Chang, Yuan-Hao (張原豪)

  • 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)

  • 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.

  • 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.

  • 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-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.

  • 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.

  • 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), volume 19, number 4, pages 25:1-25:21, July 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.

  • 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)

  • 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), volume 69, number 5, pages 832-843, May 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), volume 69, number 6, pages 832-843, June 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.

  • 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.

  • 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), volume 36, number 7, pages 1286-1299, June 2020.

  • 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)

  • 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), volume 39, number 2, pages 373-386, February 2020.


Chen, Chu-Song (陳祝嵩)

  • 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.

  • 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.


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, volume 223, pages 117293, 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.

  • 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, volume 15, pages 2402-2416, January 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, volume 19, pages 29–40, March 2020.


Chen, Wen-Tsuen (陳文村)

  • Chun-I Fan, Jheng-Jia Huang, Min-Zhe Zhong, Ruei-Hau Hsu, W. T. Chen, and Jemin Lee, "ReHand: Secure Region-based Fast Handover with User Anonymity for Small Cell Networks in Mobile Communications," IEEE Transactions on Information Forensics and Security, volume 15, pages 927-948, December 2020.

  • Po-Yu Chou, Wei-Yu Chen, Chih-Yu Wang, Ren-Hung Hwang, and W. T. Chen, "Deep Reinforcement Learning for MEC Streaming with Joint User Association and Resource Management," Proceedings of IEEE International Conference on Communications (IEEE ICC 2020), Dublin, Ireland, June 2020.

  • Chih-Hang Wang, Sheng-Hao Chiang, Shan-Hsiang Shen, De-Nian Yang, and W. T. Chen, "Multicast Traffic Engineering with Segment Trees in Software-Defined Networks," Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM 2020), Toronto, Canada, July 2020.

  • Wei-Yu Chen, Po-Yu Chou, Chih-Yu Wang, Ren-Hung Hwang, and W. T. Chen, "Live Video Streaming with Joint User Association and Caching Placement in Mobile Edge Computing," Proceedings of 2020 International Conference on Computing, Networking and Communications (ICNC 2020): Multimedia Computing and Communications, Big Island, Hawaii, USA, February 2020.

  • Wei-Yu Chen, Bor-Sen Chen, and W. T. Chen, "Multiobjective Beamforming Power Control for Robust SINR Target Tracking and Power Efficiency in Multicell MU-MIMO Wireless System," IEEE Transactions on Vehicular Technology, volume 69, number 6, pages 6200-6214, June 2020.

  • Cheng-Chih Chao, Chih-Yu Wang, Chia-Han Lee, Hung-Yu Wei, and W. T. Chen, "Pair Auction and Matching for Resource Allocation in Full-Duplex Cellular Systems," IEEE Transactions on Vehicular Technology, volume 69, number 4, pages 4325-4339, April 2020.

  • Yung-Shun Wang, Y.-W. Peter Hong, and W. T. Chen, "Trajectory Learning, Clustering, and User Association for Dynamically Connectable UAV Base Stations," IEEE Transactions on Green Communications and Networking, volume preprint, pages preprint, June 2020.

  • Chia-Chun Hsu, Chung-Kai Yang, Jian-Jhih Kuo, and W. T. Chen, "Cooperative Convolutional Neural Network Deployment over Mobile Networks," Proceedings of IEEE International Conference on Communications (IEEE ICC 2020), Dublin, Ireland, June 2020.

  • Chih-Hang Wang, Jian-Jhih Kuo, De-Nian Yang, W. T. Chen, "Collaborative Social Internet of Things in Mobile Edge Networks," IEEE Internet of Things Journal, volume preprint, pages preprint, August 2020.


Chung, Kai-Min (鐘楷閔)

  • 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.

  • 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, Siyao Guo, Qipeng Liu and Luowen Qian, "Tight Quantum Time-Space Tradeoffs for Function Inversion," To Appear in The 61st Annual IEEE Symposium on Foundations of Computer Science (FOCS),.

  • 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.

  • 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.


Ho, Jan-Ming (何建明)

  • 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., volume 1178, Communications in Computer and Information Science and vol . , editors, Springer, Singapore, March 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, volume 34, number 2, pages 74-91, 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), pages 1778-1782, 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, volume 21(Suppl 3), pages 163, April 2020, From International Conference on Bioinformatics (InCoB 2019) Jakarta, Indonesia. 10-12 September 2019


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), volume 154, Leibniz International Proceedings in Informatics (LIPIcs), Christophe Paul and Markus Bl{\"a}ser, editor, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, pages 34:1--34:19, Dagstuhl, Germany, March 2020.


Hsu, Wen-Lian (許聞廉)

  • Hsin-Nan Lin ,Wen-Lian Hsu, "GSAlign: an efficient sequence alignment tool for intra-species genomes," BMC Genomics, volume 21, number 182, pages 1-10, February 2020.

  • 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.


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, volume 27, pages 1175-1179, 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, volume 19, pages 647–691, 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, volume —, pages —, April 2020.


Ku, Lun-Wei (古倫維)

  • 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.

  • Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu and Lun-Wei Ku, "MVIN: Learning multiview items for recommendation," To Appear in the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 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)

  • Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao, "YOLOv4: Optimal Speed and Accuracy of Object Detection," arXiv:2004.10934vl, number arXiv preprint arXiv:2004.10934, April 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, number arXiv preprint arXiv:2005.09624, May 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'', IEEE, 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'', IEEE, Seattle, USA, June 2020.


Lin, Chung-Yen (林仲彥)

  • 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, volume 11, pages 3147, June 2020, IF=11.88

  • 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, volume 12, number 7, pages E1718, July 2020, IF=6.37

  • 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, volume 21(Suppl 3), pages 163, 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, volume 27, number 14, pages 1-22, 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," To Appear in IEEE 2020 ICCE-TW, Tao-Yuan, Taiwan,.

  • 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, volume 7, number 1, pages 32, 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, pages 3230-3235, July 2020.


Liu, Tyng-Luh (劉庭祿)

  • He-Yen Hsieh, Ding-Jie Chen, and Tyng-Luh Liu, "Temporal Action Proposal Generation via Deep Feature Enhancement," To Appear in IEEE International Conference on Image Processing, Online (United Arab Emirates).

  • 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," To Appear in ACM Multimedia Conference, Online (Seattle, USA), (ACM MM)

  • Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, and Tyng-Luh Liu, "Video Summarization with Anchors and Multi-head Attention," To Appear in IEEE International Conference on Image Processing, Online (United Arab Emirates).

  • 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)

  • 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," To Appear in 16th European Conference on Computer Vision, Springer Online, (ECCV)


Lu, Chun-Shien (呂俊賢)

  • 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.

  • 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.

  • 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, volume 68, pages 3500-3514, June 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)

  • 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, volume 8, number 2, pages 597-609, February 2020.


Ma, Wei-Yun (馬偉雲)

  • 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.

  • Cheng-Hsun Hsueh, Wei-Yun Ma, "Semantic Guidance of Dialogue Generation with Reinforcement Learning," To Appear in SigDial, ACL.

  • 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," To Appear in Functional and Logic Programming (FLOPS 2020), Keisuke Nakano and Konstantinos Sagonas, editor.


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, "Conducting Natural Language Inference with Word-Pair-Dependency and Local Context," ACM Transactions on Asian and Low-Resource Language Information Processing, volume 19, number 3, pages 47:1-47:23, February 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, volume 2, number 1, pages 26-35, March 2020, (in Chinese)


Su, Li (蘇黎)

  • 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.

  • 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.

  • Hsuan-Kai Kao and Li Su, "Temporally Guided Music-to-Body-Movement Generation," 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.

  • 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.

  • 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.

  • 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.


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, volume 223, pages 103819, July 2020.

  • Yi-Ju Chen, ..., Ching-Tai Chen, ..., Jen-Hung Wang, ..., Ting-Yi Sung,..., Pan-Chyr Yang, Yu-Ju Chen, "Proteogenomics of non-smoking lung cancer in East Asia delineates molecular signatures of pathogenesis and progression," Cell, volume 182, number 1, pages 226-244, July 2020.


Tsai, Huai-Kuang (蔡懷寬)

  • 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, volume doi: 10.1002/1873-3468, pages 13757, February 2020.

  • 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, volume 11, pages 809, 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), pages 34:1--34:19, March 2020.


Wang, Hsin-Min (王新民)

  • 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, volume 4, number 4, pages 468-479, August 2020, arXiv preprint arXiv:2001.07849

  • 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, "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.

  • 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.

  • 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, volume 28, pages 1888-1900, February 2020, arXiv preprint arXiv:1909.11909

  • 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.


Yang, De-Nian (楊得年)

  • 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.

  • 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.

  • 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%)

  • 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%)

  • 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%)

  • 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.-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%)