Yun-Chih Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, Reptail: Cutting Storage Tail Latency with Inherent Redundancy, ACM/IEEE Design Automation Conference (DAC), December 2021, (Top Conference).
Tse-Yuan Wang, Chun-Feng Wu, Che-Wei Tsao, Yuan-Hao Chang, and Tei-Wei Kuo, Scheduling-Aware Prefetching: Enabling the PCIe SSD to Extent the Global Memory of GPU Device, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2021.
Ting-Hsuan Lo, Chun-Feng Wu, Yuan-Hao Chang, Tei-Wei Kuo, and Wei-Chen Wang, Space-efficient Graph Data Placement to Save Energy of ReRAM Crossbar, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2021.
I-Ju Wang, Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Bo-Jun Chen, Hsin-Wen Wei, and Wei-Kuan Shih, Enabling Write-reduction Multiversion Scheme with Efficient Dual-range Query over NVRAM, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), June 2021.
Yu-Pei Liang, Yen-Ting Chen, Shuo-Han Chen, Tseng-Yi Chen, Yu-Ting Fang, Wei-Lin Wang, Wei-Kuan Shih, and Yuan-Hao Chang, Brief Industry Paper: An Energy-Reduction On-Chip Memory Management for Intermittent Systems, IEEE Real-time and Embedded Technology and Application Symposium (RTAS), May 2021.
Camelia Slimani, Chun-Feng Wu, Yuan-Hao Chang, Stephane Rubini, and Jalil Boukhobza, RaFIO: A Random Forest I/O-Aware Algorithm, ACM Symposium on Applied Computing (SAC), April 2021.
Ming-Chang Yang, Chun-Feng Wu, Shuo-Han Chen, Yi-Ling Lin, Che-Wei Chang, and Yuan-Hao Chang, On Minimizing Internal Data Migrations of Flash Devices via Lifetime-Retention Harmonization, IEEE Transactions on Computers (TC), March 2021.
Hsiang-Yun Cheng, Chun-Feng Wu, Christian Hakert, Kuan-Hsun Chen, Yuan-Hao Chang, Jian-Jia Chen, Chia-Lin Yang, and Tei-Wei Kuo, Future Computing Platform Design:A Cross-Layer Design Approach, ACM/IEEE Design, Automation and Test in Europe (DATE), February 2021.
Shuo-Han Chen, Ming-Chang Yang, and Yuan-Hao Chang, Optimizing Lifetime Capacity and Read Performance of Bit-Alterable 3D NAND Flash, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), February 2021.
Ping-Xiang Chen, Shuo-Han Chen, Yuan-Hao Chang, Yu-Pei Liang, and Wei-Kuan Shih, Facilitating the Efficiency of Secure File Data and Metadata Deletion on SMR-based Ext4 File System, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2021.
Yi-Shen Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, A Write-friendly Arithmetic Coding Scheme for Achieving Energy-Efficient Non-Volatile Memory Systems, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2021.
Chen, Chu-Song (陳祝嵩)
Wen-Yi Peng, Yan-Tsung Peng, Wei-Cheng Lien, Chu-Song Chen, Unveiling of How Image Restoration Contributes to Underwater Object Detection, IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2021, September 2021.
Chien-Hung Chen, Cheng-Hao Tu, Jia-Da Li, Chu-Song Chen, Defect Detection Using Deep Lifelong Learning, IEEE International Conference on Industrial Informatics, INDIN 2021, July 2021.
Jia-Da Li, Yi-Kuan Liu, Tsung-Hung Hsieh, Cheng-Chung Fang, Chu-Song Chen, Applying Problem Transformation Methods for Predicting 3-Days All-Cause Readmission in the Emergency Department, IEEE Engineering in Medicine & Biology Society International Conference on Biomedical and Health Informatics, IEEE BHI 2021, July 2021.
Yi-Kuan Liu, Jia-Da Li, Tsung-Hung Hsieh, Cheng-Chung Fang, and Chu-Song Chen, Effect of Progressively Available Features in the Clinical Timeline on Predicting 3-Days Readmission in an Emergency Department with Machine Learning Methods, The 7th Int'l Conf on Health Informatics and Medical Systems, HIMS'21 in CSCE 2021, July 2021.
Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen, Shao-Yi Chien, Video-based Person Re-identification without Bells and Whistles, 10th IEEE International Workshop on Analysis and Modeling of Faces and Gestures in CVPR 2021, June 2021.
Hau Chu, Jia-Hong Lee, Yao-Chih Lee, Ching-Hsien Hsu, Jia-Da Li, Chu-Song Chen, Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking, 10th IEEE International Workshop on Analysis and Modeling of Faces and Gestures in CVPR 2021, June 2021.
Yao-Chih Lee, Kuan-Wei Tseng, Yu-Ta Chen, Chien-Cheng Chen, Chu-Song Chen, Yi-Ping Hung, 3D Video Stabilization with Depth Estimation by CNN-based Optimization, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, June 2021.
Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, and Chu-Song Chen, SemanticHash: Hash Coding via Semantics-guided Label Prototype Learning, IEEE Transactions on Artificial Intelligence, February 2021.
Peng-Yuan Kao, Yan-Jing Lei, Chia-Hao Chang, Chu-Song Chen, Ming-Sui Lee, and Yi-Ping Hung, Activity Recognition Using First-Person-View Cameras Based on Sparse Optical Flows, 25th International Conference on Pattern Recognition, ICPR 2020, January 2021.
Chen, Ling-Jyh (陳伶志)
Sachit Mahajan, Cyuan Heng Luo, Dong-Yi Wu, and Ling-Jyh Chen, From Do-It-Yourself (DIY) to Do-It-Together (DIT): Reflections on Designing a Citizen Driven Air Quality Monitoring Framework in Taiwan, Sustainable Cities and Society, Elsevier, March 2021.
Chung, Kai-Min (鐘楷閔)
Prabhanjan Ananth, Kai-Min Chung, and Rolando L. La Placa, On the Concurrent Composition of Quantum Zero-Knowledge, The 41st International Cryptology Conference (CRYPTO), August 2021.
Kai-Min Chung, T-H. Hubert Chan, Ting Wen, and Elaine Shi, Game-Theoretic Fairness Meets Multi-Party Protocols: The Case of Leader Election, The 41st International Cryptology Conference (CRYPTO), August 2021.
Nai-Hui Chia, Kai-Min Chung, and Takashi Yamakawa, A Black-Box Approach to Post-Quantum Zero-Knowledge in Constant Rounds, The 41st International Cryptology Conference (CRYPTO), August 2021.
Bar Alon, Hao Chung, Kai-Min Chung, Mi-Ying Huang, Yi Lee, and Yu-Ching Shen, Round Efficient Secure Multiparty Quantum Computation with Identifiable Abort, The 41st International Cryptology Conference (CRYPTO), August 2021.
Kai-Min Chung and Han-Hsuan Lin, Sample Efficient Algorithms for Learning Quantum Channels in PAC Model and the Approximate State Discrimination Problem, The 16th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2021), July 2021.
Kai-Min Chung, Serge Fehr, Yu-Hsuan Huang, Tai-Ning Liao, On the Compressed-Oracle Technique, and Post-Quantum Security of Proofs of Sequential Work, The 40th Annual International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt 2021), May 2021.
Ho, Jan-Ming (何建明)
Jia-Hao Syu , Yi-Ren Yeh, Mu-En Wu, and Jan-Ming Ho, Self-Management Portfolio System with Adaptive Association Mining: A Practical Application on Taiwan Stock Market, Mathematics, July 2021, https://doi.org/10.3390/math9101093.
Wu, ME and Syu, JH and Lin, Jerry CW and Ho, JM., Evolutionary ORB-based Model with Protective Closing Strategies, Knowledge Based Systems, March 2021.
Hong, Ding-Yong (洪鼎詠)
Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, Wei-Chung Hsu, Efficient Video Captioning on Heterogeneous System Architectures, 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Portland, Oregon USA (online), May 2021.
Jinn Ho and Wen-Liang Hwang, Ambiguity and sensitivity in imprecise dictionaries for compressed sensing, Signal Processing, January 2021.
Ko, Hsiang-Shang (柯向上)
Anthony Anjorin, Hsiang-Shang Ko, and Erhan Leblebici, C-lenses explained: Bx foundations for the rest of us, International Workshop on Bidirectional Transformations (Bx), June 2021.
Hsiang-Shang Ko, Programming metamorphic algorithms: An experiment in type-driven algorithm design, The Art, Science, and Engineering of Programming, January 2021.
Ku, Lun-Wei (古倫維)
Chi-yang Hsu, Yun-Wei Chu, Ting-Hao Huang and Lun-Wei Ku, Plot and Rework: Modeling Storylines for Visual Storytelling, Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), ACL Findings, August 2021.
Boaz Shmueli, Soumya Ray and Lun-Wei Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter, Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 2021.
Chang-You Tai, Liangying Huang, Chienkun Huang, Lun-Wei Ku, User-Centric Path Reasoning towards ExplainableRecommendation, in Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), July 2021.
Chang-You Tai, Chienkun Huang, Liangying Huang, Lun-Wei Ku, Knowledge Based Hyperbolic Propagation, in Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), July 2021.
Boaz Shmueli, Jan Fell, Soumya Ray, Lun-Wei Ku, Beyond Fair Pay: Ethical Implications of Crowdsourcing NLP Task, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021), June 2021.
Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang and Lun-Wei Ku, Escape from Echo Chamber, in Proceedings of the Web Conference 2021 (WWW'21), April 2021.
Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang and Lun-Wei Ku, All the Wiser: Fake News Intervention Using User Reading Preferences, in Proceedings of the 14th ACM International Conference on Web Search and Data MiningMarch 2021 (WSDM '21), March 2021.
Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku, End-to-end Recurrent Cross-Modality Attention for Video Dialogue, IEEE/ACM Transactions on Audio, Speech and Language Processing, March 2021.
Liao, Mark (廖弘源)
C. Y. Wang, Alexey Bochkovskiy, H. Y. Mark Liao, Scaled-YOLOv4: Scaling Cross Stage Partial Network, Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, June 2021.
W. L. Wei, J. C. Lin, T. L. Liu, H. R. Tyan, H. M. Wang, and H. Y. Mark Liao, Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup, IEEE Transactions on Multimedia, 2021.
Liau, Churn-Jung (廖純中)
Y.R. Syau, C.J. Liau, and E.B. Lin, On variable precision generalized rough sets and incomplete decision tables, Fundamenta Informaticae, January 2021.
Lin, Chung-Yen (林仲彥)
Yi-Jie Li, Reuben Wang, Chung-Yen Lin, Shu-Hwa Chen, Chia-Hsien Chuang, Tzu-Ho Chou, Chi-Fang Ko, Pei-Hsin Chou, Chi-Te Liu, Yang-hsin Shih, The degradation mechanisms of Rhodopseudomonas palustris toward hexabromocyclododecane by time-course transcriptome analysis, Chemical Engineering Journal, December 2021.
Yung-Sen Huang, Wen-Chih Cheng, Chung-Yen Lin, Androgenic sensitivities and ovarian gene expression profiles prior to treatment in Japanese eel (Anguilla japonica), Marine Biotechnology, June 2021.
Rita Jui-Hsein Lu, Yen-Ting Liu, Chih Wei Huang, Ming-Ren Yen, Chung-Yen Lin and Pao-Yang Chen, ATACgraph: profiling genome wide chromatin accessibility from ATAC-seq, Frontiers in Genetics, January 2021.
Lin, Jen-Chun (林仁俊)
I-Yuan Kuo, Wen-Li Wei, and Jen-Chun Lin, Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification, Thirty-Fifth AAAI Conference on Artificial Intelligence, February 2021, (AAAI).
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hsiao-Rong Tyan, Hsin-Min Wang, and Hong-Yuan Mark Liao, Learning To Visualize Music Through Shot Sequence For Automatic Concert Video Mashup, IEEE Transactions on Multimedia, 2021.
Liu, Tyng-Luh (劉庭祿)
Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh and Tyng-Luh Liu, Learning Unsupervised Metaformer for Anomaly Detection, International Conference on Computer Vision (ICCV), October 2021, (ICCV).
Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu, Adaptive Image Transformer for One-Shot Object Detection, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021, (CVPR).
Yu-Ying Chou, Hsuan-Tien Lin and Tyng-Luh Liu, Adaptive and Generative Zero-Shot Learning, Ninth International Conference on Learning Representations (ICLR), May 2021, (ICLR).
Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu, Referring Image Segmentation via Language-Driven Attention, International Conference on Robotics and Automation (ICRA), May 2021, (ICRA).
Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen and Tyng-Luh Liu, Text-guided Graph Neural Networks for Referring 3D Instance Segmentation, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), February 2021, (AAAI).
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hsiao-Rong Tyan, Hsin-Min Wang, and Hong-Yuan Mark Liao, Learning To Visualize Music Through Shot Sequence For Automatic Concert Video Mashup, IEEE Transactions on Multimedia, 2021.
Lu, Chi-Jen (呂及人)
Po-An Chen, Chi-Jen Lu, and Yu-Sin Lu, An alternating algorithm for finding linear Arrow-Debreu market equilibria, Theory of Computing Systems, 2021.
Chuang-Chieh Lin, Chi-Jen Lu, and Po-An Chen, How good is a two-party election game?, Theoretical Computer Science, 2021.
Lu, Chun-Shien (呂俊賢)
Gang-Xuan Lin, Shih-Wei Hu, Yen-Ju Lu, Yu Tsao, Chun-Shien Lu, QISTA-Net-Audio: Audio Super-resolution via Non-Convex Lq-norm Minimization, Annual Conference of the International Speech Communication Association (Interspeech), August 2021.
Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, and Chun-Shien Lu, Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.
Ma, Wei-Yun (馬偉雲)
Jhih-Wei Chen, Tsu-Jui Fu, Chen-Kang Lee, Wei-Yun Ma, H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction, Annual Meeting of Association for Computational Linguistics 2021, August 2021.
Hung-Ting Chen, Yu-Chieh Chao, Ta-Hsuan Chao, Wei-Yun Ma, Predict and Use Latent Patterns for Short-Text Conversation, AAAI Workshop on DEEP-DIAL, February 2021.
Mu, Shin-Cheng (穆信成)
Oleg Kiselyov, Shin-Cheng Mu and Amr Sabry, Not by Equations Alone: Reasoning with Extensible Effects, Journal of Functional Programming, January 2021.
Su, Keh-Yih (蘇克毅)
Yi-Chung Lin and Keh-Yih Su, How Fast can BERT Learn Simple Natural Language Inference?, Proceedings of EACL 2021, Kyiv, Ukraine, April 2021.
Su, Li (蘇黎)
Yo-Wei Hsiao, Li Su, Learning note-to-note affinity for voice segregation and melody line identification of symbolic music data, International Society for Music Information Retrieval Conference (ISMIR), November 2021.
Vincent Cheung, Hsuan-Kai Kao, Li Su, Semi-supervised violin fingering generation using variational autoencoders, International Society for Music Information Retrieval Conference (ISMIR), November 2021.
Rui-Yang Hsu, Li Su, VOCANO: A note transcription framework for singing voice in polyphonic music, International Society of Music Information Retrieval Conference (ISMIR), November 2021.
Wei-Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu, Li Su, Actions speak louder than listening: evaluating music style transfer based on editing experience, ACM Multimedia Conference (ACM MM), October 2021.
Kin Wai Cheuk, Dorien Herremans, Li Su, ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data, ACM Multimedia Conference (ACM MM), October 2021.
I-Chieh Wei, Chih-Wei Wu, Li Su, Improving automatic drum transcription using large-scale audio-to-midi aligned data, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2021.
Tsung-Ping Chen, Yi-Hsin Jen, Shih-Wei Sun, Li Su, Positioning left-hand movement in violin performance: system and user study on fingering pattern generation, ACM International Conference on Intelligent User Interfaces (ACM IUI), April 2021, (Acceptance rate: 25%).
Tsung-Ping Chen, Li Su, Attend to Chords: Improving Harmonic Analysis of Symbolic Music Using Transformer-Based Models, Transactions of the International Society for Music Information Retrieval (TISMIR), February 2021.
Sung, Ting-Yi (宋定懿)
Reta Birhanu Kitata, Wai-Kok Choong, Chia-Feng Tsai, Pei-Yi Lin, Bo-Shiun Chen, Yun-Chien Chang, Alexey I. Nesvizhskii, Ting-Yi Sung and Yu-Ju Chen, A data-independent acquisition-based global phosphoproteomics system enables deep profiling, Nature Communications, May 2021.
Wai-Kok Choong and Ting-Yi Sung, Comparison of different variant sequence types coupled with decoy generation methods used in concatenated target-decoy database searches for proteogenomic research, Journal of Proteomics, January 2021.
Ching-Tai Chen, Jen-Hung Wang, Cheng-Wei Cheng, Wei-Che Hsu, Chu-Ling Ko, Wai-Kok Choong, and Ting-Yi Sung, Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage, Scientific Reports, January 2021.
Tsai, Huai-Kuang (蔡懷寬)
Huang J.H., Liao, Y.R., Lin, T.C., Tsai, C.H., Lai, W.Y., Chou, Y.K., Leu, J.Y., Tsai, H.K.*, and Kao, C.F.*, iTARGEX analysis of yeast deletome reveals novel regulators of transcriptional buffering in S phase and protein turnover, Nucleic Acids Research, July 2021.
Wang, Chien-Min (王建民)
Kai-Hsun Chen, Hsin-Yuan Chen and Chien-Min Wang, Bucket MapReduce: Relieving the Disk I/O Intensity of Data-Intensive Applications in MapReduce Frameworks, Proceedings of the 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing, March 2021.
Yang Syu and Chien-Min Wang, QoS Time Series Modeling and Forecasting for Web Services: A Comprehensive Survey, IEEE Transactions on Network and Service Management, March 2021.
Wang, Da-Wei (王大為)
Tun-Wei Hsu, Jong-Ling Fuh, Da-Wei Wang, Li-Fen Chen, Chia-Jung Chang, Wen-Sheng Huang, Hsiu-Mei Wu & Wan-Yuo Guo, Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network, scientific reports, March 2021.
Cheng, Wei-Chih and Chen, Lu-Hung and Jiang, Ci-Ren and Deng, Yu-Ming and Wang, Da-Wei and Lin, Chi-Hung and Jou, Ruwen and Wang, Juen-Kai and Wang, Yuh-Lin, Sensible Functional Linear Discriminant Analysis Effectively Discriminates Enhanced Raman Spectra of Mycobacterium Species, Analytical Chemistry, January 2021.
Wang, Hsin-Min (王新民)
Fan-Lin Wang, Yu-Huai Peng, Hung-Shin Lee, and Hsin-Min Wang, Dual-Path Filter Network: Speaker-Aware Modeling for Speech Separation, Interspeech2021, August 2021.
Wen-Chin Huang, Kazuhiro Kobayashi, Yu-Huai Peng, Ching-Feng Liu, Yu Tsao, Hsin-Min Wang, and Tomoki Toda, A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion, Interspeech2021, August 2021.
Yao-Fei Cheng, Hung-Shin Lee, and Hsin-Min Wang, AlloST: Low-resource Speech Translation without Source Transcription, Interspeech2021, August 2021.
Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, and Keh-Yih Su, Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving, ACL-IJCNLP2021, August 2021.
Ryandhimas Zezario, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao, Speech Enhancement with Zero-Shot Model Selection, EUSIPCO2021, August 2021.
Yi-Chiao Wu, Cheng-Hung Hu, Hung-Shin Lee, Yu-Huai Peng, Wen-Chin Huang, Yu Tsao, Hsin-Min Wang, and Tomoki Toda, Relational Data Selection for Data Augmentation of Speaker-dependent Multi-band MelGAN Vocoder, Interspeech2021, August 2021.
Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo, Kuan-Yu Chen, Hsin-Min Wang, and Tomoki Toda, Speech Recognition by Simply Fine-Tuning BERT, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2021), June 2021.
Chung-En Sun, Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, and Hsin-Min Wang, Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked Gibbs Sampling, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2021), June 2021.
Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng, Syu-Siang Wang, Tai-Shih Chi, Yu Tsao, and Hsin-Min Wang, MoEVC: A Mixture of Experts Voice Conversion System With Sparse Gating Mechanism for Online Computation Acceleration, International Symposium on Chinese Spoken Language Processing (ISCSLP2021), January 2021.
Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Tao-Wei Wang, Szu-Wei Fu, Xugan Lu, Hsin-Min Wang, and Yu Tsao, Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021.
Wu, Jan-Jan (吳真貞)
Pangfeng Liu, Jan-Jan Wu, Theoretical Study of DenseNet Scheduling on Heterogeneous System Architecture, SIAM Conference on Applied and Computational Discrete Algorithms, Spokane, Washington, USA (virtual), July 2021.
Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, Wei-Chung Hsu, Efficient Video Captioning on Heterogeneous System Architectures, 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Portland, Oregon USA (online), May 2021.
Yung-Chen Chen, Pangfeng Liu, Jan-Jan Wu, Parallel Asynchronous Stochastic Dual Coordinate Descent Algorithms for Efficiency and Convergence, 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2021), Valladolid, Spain, March 2021, online conference.
Yang, Bo-Yin (楊柏因)
E. Alkim, D. Y.-L. Cheng, C.-M. M. Chung, H. Evkan, L. W.-L. Huang, V. Hwang, C.-L. T. Li, R. Niederhagen, C.J. Shih, J. Wälde, and B.-Y. Yang, Polynomial Multiplication in NTRU Prime Comparison of Optimization Strategies on Cortex-M4, IACR Transactions on Cryptographic Hardware and Embedded Systems, September 2021.
Yang, De-Nian (楊得年)
Y.-W. Teng, Y. Shi, D.-N. Yang, W.-C. Lee, and M.-S. Chen,, Influence Maximization Based on Dynamic Personal Perception in Knowledge Graph, IEEE International Conference on Data Engineering (IEEE ICDE), April 2021.
H.-W. Chen, H.-H. Shuai, D.-N. Yang, W.-C. Lee, C. Shi, P. S. Yu, and M.-S Chen, Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer, IEEE International Conference on Data Engineering (IEEE ICDE), April 2021.
K.-Y. Chen, C.-H. Wang, S.-H. Chiang, D.-N. Yang, W. T. Chen, and J.-P. Sheu, Collaboration Between Social Internet of Things and Mobile Users for Accuracy-Aware Detection, IEEE International Conference on Communications (IEEE ICC), March 2021.
Yeh, Mi-Yen (葉彌妍)
Szu-Yuan Cheng, Yi-Ling Chen, Mi-Yen Yeh, and Bo-Tao Lin, Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking, Proc. of the 25th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2021), May 2021.
Zhu-Mu Chen, Mi-Yen Yeh, and Tei-Wei Kuo, PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding, The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.
Han-Hsien Huang and Mi-Yen Yeh, Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization, The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.
