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).
Dharamjeet, Tseng-Yi Chen, Yuan-Hao Chang, Chun-Feng Wu, Chi-Heng Lee, and Wei-Kuan Shih, Beyond Write-reduction Consideration: A Wear-leveling-enabled B+-tree Indexing Scheme over an NVRAM-based Architecture, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), December 2021.
Wen Sheng Lim, Chia-Heng Tu, Chun-Feng Wu, and Yuan-Hao Chang, iCheck: Progressive Checkpointing for Intermittent Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2021.
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, (Top Conference).
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, Yu-Ting Fang, Shuo-Han Chen, Tseng-Yi Chen, Yen-Ting Chen, 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, (Top Conference).
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.
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.
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.
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.
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.
Chen, Chu-Song (陳祝嵩)
Ashesh, Chu-Song Chen, and Hsuan-Tien Lin, 360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales, The 32nd British Machine Vision Conference, BMVC 2021, November 2021.
Wen-Cheng Chen, Min-Chun Hu and Chu-Song Chen, STR-GQN: Scene Representation and Rendering for Unknown Cameras based on Spatial Transformation Routing, IEEE/CVF International Conference on Computer Vision, ICCV 2021, October 2021.
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.
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.
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.
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.
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.
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)
Jose Guillermo Cedeño Laurent, Piers MacNaughton, Emily Jones, Anna S. Young, Maya Bliss, Skye Flanigan, Jose Vallarino, Ling-Jyh Chen, Maya Bliss, Borong Lin, Xiaodong Cao, and Joseph G. Allen, Associations between Acute Exposures to PM2.5 and Carbon Dioxide Indoors and Cognitive Function in Office Workers: A Multicountry Longitudinal Prospective Observational Study, Environmental Research Letters, September 2021.
Wen-Cheng Vincent Wang, Shih-Chun Candice Lung, Chun-Hu Liu, Tzu-Yao Julia Wen, Shu-Chuan Hu, and Ling-Jyh Chen, Evaluation and Application of A Novel Low-cost Wearable Sensing Device, MDPI Atmosphere Journal, May 2021.
Yao-Hua Ho, Yun-Juo Tai, and Ling-Jyh Chen, COVID-19 Pandemic Analysis for a Country’s Ability to Control the Outbreak Using Little’s Law: Infodemiology Approach, MDPI Sustainability, May 2021.
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)
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), October 2021, Contributed talk at QCrypt 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 2021), 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 2021), August 2021.
Prabhanjan Ananth, Kai-Min Chung, and Rolando L. La Placa, On the Concurrent Composition of Quantum Zero-Knowledge, The 41st International Cryptology Conference (CRYPTO 2021), 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 2021), 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.
Ho, Jan-Ming (何建明)
Chi-Jen Wu, Wei-Sheng Zeng, Jan-Ming Ho, Optimal Segmentaed Linear Regression for Financial Time Series Segmentation, the UDML 2021 workshop of the IEEE ICDM 2021 conference, Auckland, New Zealand (virtual), December 2021.
Shin-Hung Chang, Cheng-Wen Hsu, Hsing-Ying Li, Wei-Sheng Zeng and Jan-Ming Ho, Short-Term Stock Price-Trend Prediction Using Meta-Learning, The 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Australia, October 2021.
Shin-Hung Chang, Min-Lun Tsai, Meng-Huang Lee, and Jan-Ming Ho, Optimal QoE Scheduling in MPEG-DASH Video Streaming, International Journal of Interactive Multimedia and Artificial Intelligence, September 2021.
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.
Mu-En Wu, Jia-Hao Syu, Jerry Chun-Wei Lin, Jan-Ming Ho, Evolutionary ORB-based model with protective closing strategies, Knowledge Based Systems, March 2021.
Mu-En Wu, Jia-Hao Syu, Jerry Chun-Wei Lin, and Jan-Ming Ho, Portfolio management system in equity market neutral using reinforcement learning, Applied Intelligence, March 2021.
M. -E. Wu, J. -H. Syu, J. C. -W. Lin and J. -M. Ho, Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading, IEEE Transactions on Fuzzy Systems, 2021.
Hong, Ding-Yong (洪鼎詠)
Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong, and Jan-Jan Wu, Optimal Branch Location Finding for Cost effective Inference on Branchynet, IEEE International Conference on Big Data (top conference), the Machine Learning with Big Data track, December 2021.
An-Tai Chen, Pangfeng Liu, Ding-Yong Hong, and Jan-Jan Wu, Accelerate CNN Models via Filter Pruning and Sparse Tensor Core, International Symposium on Computing and Networking, November 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, top conference), Portland, Oregon USA (online), May 2021.
Hsu, Tsan-sheng (徐讚昇)
Ting-Yu Lin, Wei Ping Goh, Hung-Jui Chang, Mei-Lien Pan, Shu-Chen Tsai, Da-Wei Wang, Tsan-sheng Hsu, Changing of Spreading Dynamics for Infectious Diseases in an Aging Society: A Simulation Case Study on Flu Pandemic, Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIULTECH), July 2021.
Hung-Jui Chang and Cheng Yueh and Gang-Yu Fan and Ting-Yu Lin and Tsan-sheng Hsu, Opponent Model Selection Using Deep Learning, Proceedings of the 2021 Advances in Computer Games (ACG), 2021.
Huang, Hen-Hsen (黃瀚萱)
An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen, Ten Questions in Lifelog Mining and Information Recall, Proceedings of the 2021 ACM International Conference on Multimedia Retrieval, November 2021.
Ting-Wei Hsu, Chung-Chi Chen, Hen-Hsen Huang, and Hsin-Hsi Chen, Semantics-Preserved Data Augmentation for Aspect-Based Sentiment Analysis, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, November 2021.
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Which kind of rumors may undermine society: perspectives from court orders, Proceedings of the 2021 International Conference on Advances in Social Network Analysis and Mining (ASONAM 2021), November 2021.
Chung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen, Distilling Numeral Information for Volatility Forecasting, Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), October 2021.
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text, Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), October 2021.
Chung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen, Constructing Noise Free Economic Policy Uncertainty Index, Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), October 2021.
Tai-Te Chu, An-Zi Yen, Wei-Hong Ang, Hen-Hsen Huang, Hsin-Hsi Chen, VidLife: A Dataset for Life Event Extraction from Videos, CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, October 2021.
An-Zi Yen, Chia-Chung Chang, Hen-Hsen Huang, and Hsin-Hsi Chen, Personal Knowledge Base Construction from Multimodal Data, Proceedings of the 2021 ACM International Conference on Multimedia Retrieval (ICMR 2021), September 2021.
Wei-Hong Ang, An-Zi Yen, Tai-Te Chu, Hen-Hsen Huang, Hsin-Hsi Chen, LifeConcept: An Interactive Approach for Multimodal Lifelog Retrieval through Concept Recommendation, Proceedings of the 4th Annual on Lifelog Search Challenge, LSC@ICMR 2021, August 2021.
Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen., Convlogminer: A real-time conversational lifelog miner, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), August 2021.
Tsun-Hsien Tang, Chung-Chi Chen, Hen-Hsen Huang, and Hsin-Hsi Chen, Retrieving implicit information for stock movement prediction, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21), July 2021.
Ting-Wei Hsu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Risk-aware Regularization for Opinion-based Portfolio Selection, Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM-2021), June 2021.
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, A Research Agenda for Financial Opinion Mining, Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM-2021), June 2021.
An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen, Unanswerable question correction in question answering over personal knowledge base, Proceedings of the AAAI Conference on Artificial Intelligence, May 2021.
Kuo-Yu Huang, Hen-Hsen Huang, and Hsin-Hsi Chen, Hargan: Heterogeneous argument attention network for persuasiveness prediction, Proceedings of the AAAI Conference on Artificial Intelligence, May 2021.
Chung-Chi Chen, Hen-Hsen Huang, and Hsin-Hsi Chen, Evaluating the rationales of amateur investors, Proceedings of the Web Conference 2021 (WWW ’21), April 2021.
Yi-Ting Liou, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Dynamic Graph Transformer for Implicit Tag Recognition, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, April 2021.
Yi-Ting Liou, Chung-Chi Chen, Tsun-Hsien Tang, Hen-Hsen Huang, and Hsin-Hsi Chen, Finsense: An assistant system for financial journalists and investors, Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM ’21), March 2021.
Hwang, Wen-Liang (黃文良)
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)
Min-Hsuan Yeh and Lun-Wei Ku, Lying Through One’s Teeth: A Study on Verbal Leakage Cues, in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), November 2021.
Boaz Shmueli, Soumya Ray and Lun-Wei Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter, in 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.
Chi-yang Hsu, Yun-Wei Chu, Tsai-Lun Yang, Ting-Hao Huang and Lun-Wei Ku, Stretch-VST: Getting Flexible With Visual Stories, in 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.
Chi-yang Hsu, Yun-Wei Chu, Ting-Hao Huang and Lun-Wei Ku, Plot and Rework: Modeling Storylines for Visual Storytelling, in 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.
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.
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.
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.
Liao, Mark (廖弘源)
C. Y. Wang, H. Y. Mark Liao, I. H. Yeh, Y. Y. Chuang, and Y. L. Lin, Exploring the Power of Lightweight YOLOv4, IEEE International Conference on Computer Vision (ICCV) ``Low Power Computer Vision'' Workshop, October 2021.
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.
C. Y. Wang, I. H. Yeh, and H. Y. Mark Liao, You Only Learn One Representation: Unified Network for Multiple Tasks, arXiv:2015.04206v1, May 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)
Tzu-Tang Lin, Li-Yen Yang, I-Hsuan Lu, Wen-Chih Cheng, Zhe-Ren Hsu, Shu-Hwa Chen, Chung-Yen Lin, AI4AMP: An Antimicrobial Peptide Predictor Using Physicochemical Property-Based Encoding Method and Deep Learning, mSystems, December 2021, website: http://symbiosis.iis.sinica.edu.tw/PC_6/, IF=6.49.
Chu, Pei-Yun, Jia-Xian Li, Te-Hua Hsu, Hong-Yi Gong, Chung-Yen Lin, Jung-Hua Wang, and Chang-Wen Huang., Identification of Genes Related to Cold Tolerance and Novel Genetic Markers for Molecular Breeding in Taiwan Tilapia (Oreochromis spp.) via Transcriptome Analysis, Animals, December 2021.
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, Chung-Yen Lin, Wen-Chih Cheng, Investigating the Transcriptomic and Expression Presence-Absence Variation Exist in Japanese Eel (Anguilla japonica), a Primitive Teleost, Marine Biotechnology, October 2021, Online ahead of print.
Mai-Huong T. Ngo, Sue-Wei Peng, Yung-Che Kuo, Chun-Yen Lin, Ming-Heng Wu, Chia-Hsien Chuang, Cheng-Xiang Kao, Han-Yin Jeng, Gee-Way Lin, Thai-Yen Ling, Te-Sheng Chang *, Yen-Hua Huang *, A Yes-Associated Protein (YAP) and Insulin-like Growth Factor 1 Receptor (IGF-1R) Signaling Loop Is Involved in Sorafenib Resistance in Hepatocellular Carcinoma, Cancers, July 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).
Jhih-Ciang Wu, Sherman Lu, Chiou-Shann Fuh and Tyng-Luh Liu, One-Class Anomaly Detection via Novelty Normalization, Computer Vision and Image Understanding, September 2021.
Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee and Tyng-Luh Liu, The Maximum a Posteriori Estimation of DARTS, IEEE International Conference on Image Processing, Anchorage, Alaska, USA, September 2021.
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, June 2021, (CVPR).
Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu, Referring Image Segmentation via Language-Driven Attention, International Conference on Robotics and Automation, May 2021, (ICRA).
Yu-Ying Chou, Hsuan-Tien Lin and Tyng-Luh Liu, Adaptive and Generative Zero-Shot Learning, Ninth International Conference on Learning Representations, May 2021, (ICLR).
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, 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.
Shih-Wei Hu, Gang-Xuan Lin, and Chun-Shien Lu, GPX-ADMM-Net: Interpretable Neural Network for Image Compressive Sensing, IEEE Access, 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)
Shin-Cheng Mu and Tsung-Ju Chiang, Longest segment of balanced parentheses — an exercise in program inversion in a segment problem (Functional Pearl), Journal of Functional Programming, November 2021.
Richard Bird and Shin-Cheng Mu, A greedy algorithm for dropping digits (Functional Pearl), Journal of Functional Programming, November 2021.
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)
Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su, Omnizart: A General Toolbox for Automatic Music Transcription, Journal of Open-Source Software (JOSS), December 2021.
Cheng-Yu Cai, Yu-Hui Su, Li Su, Dual-Channel Drum Separation for Low-Cost Drum Recording Using Non-Negative Matrix Factorization, Proc. Asia Pacific Signal and Infor. Proc. Asso. Annual Summit and Conf. (APSIPA ASC), December 2021.
Jui-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.
Vincent Cheung, Tsung-Ping Chen, Li Su, An Interactive Automatic Violin Fingering Recommendation Interface, Workshop on AI in Music and Live Concerts, IEEE International Conference on Artificial Intelligence and Virtual Reality (IEEE AIVR), 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.
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.
Hsien-Lun Chen and Li Su, Music-to-body-movement generation with recurrent neural network and reinforcement learning, Late-breaking Demo Session of International Society of Music Information Retrieval Conference (ISMIR LBD), November 2021.
Tzu-Yun Hung, Yo-Wei Hsiao, Li Su, Structure-independent factors in expressive timing: a preliminary study on violin solo performance, Late-breaking Demo Session of International Society of Music Information Retrieval Conference (ISMIR LBD), 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)
Wai-Kok Choong and Ting-Yi Sung*, Somatic mutation subtypes of lung adenocarcinoma in East Asian reveal divergent biological characteristics and therapeutic vulnerabilities, iScience, June 2021.
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.
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.
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.
Tsai, Huai-Kuang (蔡懷寬)
Liu, W.L., Hsu, C.W., Yen, P.S., Su, P., Li, J.C, Li, H.H., Tsai, H.K., Tsai, TY., Failloux, A.B., and Chen, C.H., Transgenic refractory Aedes aegypti lines are resistant to multiple serotypes of dengue virus, Scientific Reports, December 2021.
Tsai C.H., Lin T.Z., Chang Y.H., Tsai H.K.* and Huang J.H.*, Identification and comparative analysis of long non-coding RNAs in the brain of fire ant queens in two different reproductive states., BMC Genomics, November 2021.
Shiau, C.K., Huang, J.H., Liu, Y.T. and Tsai, H.K.*, Genome-wide identification of associations between enhancer and alternative splicing in human and mouse., BMC Genomics, November 2021.
Lee, K.H., Chang, Y.C., Chen, T.F., Juan, H.F., Tsai, H.K., Chen, C.Y., Connecting MHC-I-binding motifs with HLA alleles via deep learning, Communications Biology, October 2021.
Huang, J.H., Liu, Y.T., Ni, H.C., Chen, B.Y., Huang, S.Y., Tsai, H.K.*, and Li, H.F.*, Termite pest identification method based on deep convolution neural networks, Journal of Economic Entomology, August 2021.
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.
Wu, M.J., Chen, C.J., Lin, T.Y.,Liu, Y.Y., Tseng, L.L., Cheng, M.L., Chuu, C.P., Tsai, H.K., Kuo, W.L., Kung, H.J., and Wang, W.C., Targeting KDM4B that coactivates c-Myc-regulated metabolism to suppress tumor growth in castration-resistant prostate cancer, Theranostics, July 2021.
Tsai, Meng-Tsung (蔡孟宗)
Cheng-Hung Chiang and Meng-Tsung Tsai, Single-Pass Streaming Algorithms to Partition Graphs into Few Forests, In: the 27th International Conference on Computing and Combinatorics (COCOON), October 2021.
Wang, Chien-Min (王建民)
Yang Syu, Yu-Jen Tsao, and Chien-Min Wang, Rule-based Extraction of Tuple-based Service Demand from Natural Language-based Software Requirement for Automated Service Composition, Proceedings of the 2021 International Conference on Services Computing, December 2021.
Joshua Ho and Chien-Min Wang, Human-Centered AI using Ethical Causality and Learning Representation for Multi-Agent Deep Reinforcement Learning, Proceedings of the IEEE 2nd International Conference on Human-Machine Systems, September 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.
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.
Wang, Da-Wei (王大為)
Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong, and Jan-Jan Wu, Optimal Branch Location Finding for Cost effective Inference on Branchynet, IEEE International Conference on Big Data (top conference), the Machine Learning with Big Data track, December 2021.
Ting-Yu Lin, Wei Ping Goh, Hung-Jui Chang, Mei-Lien Pan, Shu-Chen Tsai, Da-Wei Wang, Tsan-sheng Hsu, Changing of Spreading Dynamics for Infectious Diseases in an Aging Society: A Simulation Case Study on Flu Pandemic, Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIULTECH), July 2021.
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)
Chao-Chun Liang, Daniel Lee, Meng-Tse Wu, Hsin-Min Wang, and Keh-Yih Su, Answering Chinese Elementary School Social Studies Multiple Choice Questions, International Journal of Computational Linguistics and Chinese Language Processing, December 2021.
Yi-Syuan Liou, Wen-Chin Huang, Ming-Chi Yen, Shu-Wei Tsai, Yu-Huai Peng, Tomoki Toda, Yu Tsao, and Hsin-Min Wang, Time Alignment Using Lip Images for Frame-Based Electrolaryngeal Voice Conversion, APSIPA Annual Summit and Conference (APSIPA ASC 2021), December 2021.
Ming-Chi Yen, Wen-Chin Huang, Kazuhiro Kobayashi, Yu-Huai Peng, Shu-Wei Tsai, Yu Tsao, Tomoki Toda, Jyh-Shing Jang, and Hsin-Min Wang, Mandarin Electrolaryngeal Speech Voice Conversion with Sequence-to-Sequence Modeling, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2021), December 2021.
Hsin-Tien Chiang, Yi-Chiao Wu, Cheng Yu, Tomoki Toda, Hsin-Min Wang, Yih-Chun Hu, and Yu Tsao, HASA-NET: A Non-Intrusive Hearing-Aid Speech Assessment Network, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2021), December 2021.
Yu-Huai Peng, Hung-Shin Lee, Pin-Tuan Huang, and Hsin-Min Wang, Generation of Speaker Representations Using Heterogeneous Training Batch Assembly, APSIPA Annual Summit and Conference (APSIPA ASC 2021), December 2021.
Qian-Bei Hong, Chung-Hsien Wu, Thanh Binh Nguyen, and Hsin-Min Wang, Improvement of Spatial Ambiguity in Multi-Channel Speech Separation Using Channel Attention, APSIPA Annual Summit and Conference (APSIPA ASC 2021), December 2021.
Md Mahbub E Noor, Yen-Ju Lu, Syu-Siang Wang, Supratip Ghose, Chia-Yu Chang, Ryandhimas E. Zezario, Shafique Ahmed, Wei-Ho Chung, Yu Tsao and Hsin-Min Wang, Investigation of A Single-Channel Frequency-Domain Speech Enhancement Network to Improve End-To-End Bengali Automatic Speech Recognition Under Unseen Noisy Conditions, Oriental COCOSDA 2021: International Conference on Speech Databases and Assessments, November 2021.
Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, and Hsin-Min Wang, SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours, ISMIR2021, November 2021.
Cheng-Chung Fan, Keh-Yih Su, Kuan-Yu Chen, Yu Tsao, Jia-Zhi Guo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, and Hsin-Min Wang, A Flexible and Extensible Framework for Multiple Answer Modes Question Answering, The 33rd ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2021), October 2021.
Shih-Hung Tsai, Chao-Chun Liang, Hsin-Min Wang, and Keh-Yih Su, Mining Commonsense and Domain Knowledge from Math Word Problems, The 33rd ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2021), October 2021.
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.
Ryandhimas Zezario, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao, Speech Enhancement with Zero-Shot Model Selection, EUSIPCO2021, 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.
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.
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.
Wu, Jan-Jan (吳真貞)
Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong, and Jan-Jan Wu, Optimal Branch Location Finding for Cost effective Inference on Branchynet, IEEE International Conference on Big Data (top conference), the Machine Learning with Big Data track, December 2021.
An-Tai Chen, Pangfeng Liu, Ding-Yong Hong, and Jan-Jan Wu, Accelerate CNN Models via Filter Pruning and Sparse Tensor Core, International Symposium on Computing and Networking, November 2021.
Meng-Ju Hsieh, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu, Data Partition Optimization for Column-Family NoSQL databases, International Journal of Big Data Intelligence, October 2021.
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, top conference), 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)
T. Chou, M. J. Kannwischer, and B.-Y. Yang, Rainbow on Cortex-M4, IACR Transactions on Cryptographic Hardware and Embedded Systems, December 2021.
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, Full version: available as IACR e-Print 2020/1216.
J. Ding, J. Deaton, Vishaka, B.-Y. Yang, The Nested Subset Differential Attack - A Practical Direct Attack Against LUOV Which Forges a Signature Within 210 Minutes, Eurocrypt 2021, August 2021.
C.-M. M. Chung, V. Hwang, M. J. Kannwischer, G. Seiler, C.-J. Shih and B.-Y. Yang, NTT Multiplication for NTT-unfriendly Rings, New Speed Records for Saber and NTRU on Cortex-M4 and AVX2, IACR Transactions on Cryptographic Hardware and Embedded Systems, June 2021, available as IACR e-Print 2020/1397.
Yang, De-Nian (楊得年)
P.-Y. Gong, C.-H. Wang, J.-P. Sheu, and D.-N. Yang, Distributed DRL-based Resource Allocation for Multicast D2D Communications, IEEE Global Communications Conference (IEEE GLOBECOM), December 2021.
Y.-W. Teng, H.-W. Chen, D.-N. Yang, W.-A. Pignolet, T.-W. Li, and L. Chen, On Influencing the Influential: Disparity Seeding, ACM International Conference on Information and Knowledge Management (ACM CIKM), November 2021.
C.-Y. Yeh, H.-W. Chen, H.-H. Shuai, D.-N. Yang, and M.-S. Chen, Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack, International Conference on Computer Vision (ICCV), October 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.
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.
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.
