Institute of Information Science, Academia Sinica

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2022 Publication Lists

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Chang, Yuan-Hao

  • Han-Wen Hu, Wei-Chen Wang, Yuan-Hao Chang, Yung-Chun Lee, Bo-Rong Lin, Huai-Mu Wang, Chong-Ying Lee, Yu-Ming Huang, Yen-Po Lin, Tzu-Hsiang Su, Chih-Chang Hsieh, Chia-Ming Hu, Yi-Ting Lai, Chung-Kuang Chen, Han-Sung Chen, Hsiang-Pang Li, Tei-Wei Kuo, Keh-Chung Wang, Meng-Fan Chang, Chun-Hsiung Hung, and Chih-Yuan Lu, ICE: An Intelligent Cognition Engine with 3D NAND-based In-Memory Computing for Vector Similarity Search Acceleration, ACM/IEEE International Symposium on Microarchitecture (MICRO), December 2022, (Top Conference).
  • Dharamjeet, Yi-Shen Chen, Tseng-Yi Chen, Yuan-Hung Kuan, and Yuan-Hao Chang, LLSM: A Lifetime-Aware Wear-Leveling for LSM-Tree on NAND Flash Memory, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2022, (Integrated with ACM/IEEE CASES'22).
  • Yin-Chiuan Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, Exploring Synchronous Page Fault Handling, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), November 2022, (Integrated with ACM/IEEE CODES+ISSS'22).
  • Yu-Cheng Lin, Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, and Wei-Kuan Shih, On Minimizing the Read Latency of Flash Memory to Preserve Inter-tree Locality in Random Forest, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2022, (Top Conference).
  • Wei Cheng, Chun-Feng Wu, Yuan-Hao Chang, and Ing-Chao Lin, GraphRC: Accelerating Graph Processing on Dual-addressing Memory with Vertex Merging, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2022, (Top Conference).
  • Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Yi-Da Huang, and Wei-Kuan Shih, Planting Fast-growing Forest by Leveraging the Asymmetric Read/Write Latency of NVRAM-based Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), October 2022.
  • Yin-Chiuan Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, Exploring Synchronous Page Fault Handling, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), October 2022, (Journal Track, Integrated with IEEE TCAD) (Acceptance rate: 17.4%(31/178)) (Best Paper Award (1/178) - Top Conference).
  • Cheng-Yuan Wang, Yao-Wen Chang, and Yuan-Hao Chang, SGIRR: Sparse Graph Index Remapping for ReRAM Crossbar Operation Unit and Power Optimization, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2022, (Top Conference).
  • Dharamjeet, Yi-Shen Chen, Tseng-Yi Chen, Yuan-Hung Kuan, and Yuan-Hao Chang, LLSM: A Lifetime-Aware Wear-Leveling for LSM-Tree on NAND Flash Memory, ACM/IEEE International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), October 2022, (Journal Track, Integrated with IEEE TCAD) (Top Conference).
  • Chun-Feng Wu, Martin Kuo, Ming-Chang Yang, and Yuan-Hao Chang, Performance Enhancement of SMR-based Deduplication Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), September 2022.
  • Hung-Yu Lin, Yu-Pei Liang, Shuo-Han Chen, Yuan-Hao Chang, Tseng-Yi Chen, and Wei-Kuan Shih, Minimizing Age-of-Information of NVRAM-based Intermittent Systems, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2022.
  • Yi-Shen Chen, Yuan-Hao Chang, and Tei-Wei Kuo, Drift-tolerant Coding to Enhance the Energy Efficiency of Multi-Level-Cell Phase-Change Memory, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2022, (Top Conference).
  • Yen-Ting Chen, Han-Xiang Liu, Yuan-Hao Chang, Yu-Pei Liang, and Wei-Kuan Shih, SACS: A Self-Adaptive Checkpointing Strategy for Microkernel-Based Intermittent Systems, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2022, (Best Paper Nomination - Top Conference).
  • Ya-Hui Yang, Shuo-Han Chen, and Yuan-Hao Chang, Evolving Skyrmion Racetrack Memory as Energy-Efficient Last-Level Cache Devices, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2022, (Top Conference).
  • Liang-Chi Chen, Shu-Qi Yu, Chien-Chung Ho, Yuan-Hao Chang, Da-Wei Chang, Wei-Chen Wang, and Yu-Ming Chang, RNA-seq Quantification on Processing in memory Architecture: Observation and Characterization, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2022.
  • Tse-Yuan Wang, Chun-Feng Wu, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, and Xue Liu, Rethinking the Interactivity of OS and Device Layers in Memory Management, ACM Transactions on Embedded Computing Systems (TECS), July 2022.
  • Che-Wei Chang, Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, and Chieh-Fu Chang, Leveraging Write Heterogeneity of Phase Change Memory on Supporting Self-balancing Binary Tree, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), June 2022.
  • Yi-Syuan Lin, Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Hsin-Wen Wei, and Wei-Kuan Shih, How to Enable Index Scheme for Reducing the Writing Cost of DNA Storage on Insertion and Deletion, ACM Transactions on Embedded Computing Systems (TECS), May 2022.
  • Yu-Ming Chang, Chien-Chung Ho, Che-Wei Tsao, Shu-Hsien Liao, Wei-Chen Wang, Tei-Wei Kuo, and Yuan-Hao Chang, On Enduring More Data Through Enabling Page Rewrite Capability on Multi-level-cell Flash Memory, ACM Symposium on Applied Computing (SAC), April 2022.
  • Han Wen Hu, Wei-Chen Wang, Chung-Kuang Chen, Yung-Chun Lee, Bo-Rong Lin, Huai-Mu Wang, Yen-Bo Lin, Yu-Chao Lin, Chih-Chang Hsieh, Chia-Ming Hu, Yi-Ting Lai, Yuan-Hao Chang, Hsiang-Pang Li, Han-Sung Chen, Tei-Wei Kuo, Keh-Chung Wang, Meng-Fan Chang, Chun-Hsiung Hung, and Chih-Yuan Lu, A 512Gb In-Memory-Computing 3D NAND Flash Supporting Similar Vector Matching Operations on AI Edge Devices, IEEE International Solid-State Circuits Conference (ISSCC), February 2022, (Top Conference).

Chen, Chu-Song

  • Kai-Cheng Chang, Yi-Ping Hung, Chu-Song Chen, An End-to-end Learning-based Approach to 3D Novel View Style Transfer, 5th IEEE International Conference on Artificial Intelligence & Virtual Reality, IEEE AIVR, December 2022.
  • Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen, Learning Binary Hash Codes based on Adaptable Label Representations, IEEE Transactions on Neural Networks and Learning Systems, November 2022.
  • Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, Yu Tsao, NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling, Interspeech 2022, September 2022.
  • Kuan-Wei Tseng, Jing-Yuan Huang, Yang-Shen Chen, Chu-Song Chen, and Yi-Ping Hung, Pseudo-3D Scene Modeling for Virtual Reality Using Stylized Novel View Synthesis, ACM SIGGRAPH Posters, 2022, August 2022.
  • Kuan-Wei Tseng, Yao-Chih Lee, and Chu-Song Chen, Artistic Style Novel View Synthesis Based on A Single Image, 5th Workshop on Computer Vision for Fashion, Art, and Design in CVPRW 2022, June 2022.
  • Timmy S.T. Wan, Jun-Cheng Chen, Tzer-Yi Wu, and Chu-Song Chen, Continual Learning for Visual Search with Backward Consistent Feature Embedding, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, June 2022.

Chen, Ling-Jyh

  • Ming-Kuang Chung, Fu-Shiang Ching, and Ling-Jyh Chen, From Participatory Sensing to Public-private Partnership: The Development of AirBox Project in Taiwan, ACM International Workshop on Urban Sensor Networks (ACM USN'22), Boston, Massachusetts, USA, November 2022.
  • Jia-Hong Tang, Bo-Cheng Lin, Jing-Shiang Hwang, Ling-Jyh Chen, Bing-Sheng Wu, Hong-Lian Jian, Yu-Ting Lee, and Ta-Chien Chan, Dynamic modelling for noise mapping in urban areas, Environmental Impact Assessment Review, November 2022.
  • Chia-Yu Lo, Min-Te Sun, Ling-Jyh Chen, Kazuya Sakai, and Wei-Shinn Ku, Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset, IEEE Transactions on Knowledge and Data Engineering, October 2022.
  • Pei-Yi Wong, Hsiao-Yun Lee, Ling-Jyh Chen, Yu-Cheng Chen, Nai-Tzu Chen, Shih-Chun Candice Lung, Huey-Jen Su, Chih-Da Wu, Jose Guillermo Cedeno Laurent, Gary Adamkiewicz, and John D. Spengler, An alternative approach for estimating large-area indoor PM2.5 concentration – A case study of schools, Building and Environment, July 2022.
  • Chia-Chin Chung, Chu-Chi Pai, Fu-Shiang Ching, Chao Wang, and Ling-Jyh Chen, When Post-Quantum Cryptography Meets the Internet of Things: An Empirical Study, ACM Conference on Embedded Networked Sensor Systems (ACM SenSys'22), Portland, Oregon, USA, June 2022.
  • Sachit Mahajan, Ming-Kuang Chung, Jenny Martinez, Yris Olaya, Dirk Helbing, and Ling-Jyh Chen, Translating citizen-generated air quality data into evidence for shaping policy, Humanities and Social Sciences Communications, April 2022.
  • Yi-Fang Chiang, Ka-Ui Chu, Ling-Jyh Chen, and Yao-Hua Ho, Predicting Risk of COVID-19 Outbreak by using Outdoor Air Pollution Indicators and Population Flow with Queueing Theory, Atmosphere, 2022.

Chen, Meng Chang

  • Yi-Ting Huang, Yeali Sun and Meng Chang Chen, TagSeq: Malicious Behavior Discovery Using Dynamic Analysis, PLOS ONE, May 2022.
  • Yi-Ting Huang, Chi Yu Lin, Ying-Ren Guo, Kai-Chieh Lo, Yeali S. Sun, and Meng Chang Chen, Open Source Intelligence for Malicious Behavior Discovery and Interpretation, IEEE Transactions on Dependable and Secure Computing (Special Issue on Explainable AI for Cyber Threat Intelligence Applications), March 2022, SI-Explainable Artificial Intelligence for Cyber Threat Intelligence (XAI-CTI) Application.

Chuang, Tyng-Ruey

  • Oliver Streiter, Tyng-Ruey Chuang, Hanna Yaqing Zhan, Shoichiro Hara, Ying-Fa Hung, Jr-Jie Jang, Cheng-Jen Lee, Yu-Chia Monica Mu, Chia-Hsun Ally Wang, and Yu-Huang Wang, Cultural Landscapes in Emerging Digital Scholarship: The Search of Conceptual and Computational Frameworks, Digital Humanities 2022, July 2022, This is panel co-organized by Oliver Streiter and Tyng-Ruey Chuang at DH2022..
  • Cheng-Jen Lee and Tyng-Ruey Chuang, Programmable Data Repositories, Open Repositories 2022, June 2022.
  • 楊雯婷、莊庭瑞, 從個人資料保護觀點評論高中生學習歷程檔案政策, 台灣人權學刊, June 2022.
  • Tyng-Ruey Chuang and Chia-Hsun Ally Wang, Archiving COVID-19 Memory Websites: "COVID-19 Images and Stories" and Other Sites, International Internet Preservation Consortium (IIPC) General Assembly and Web Archiving Conference, May 2022.
  • Tyng-Ruey Chuang, Rebecca C. Fan, Ming-Syuan Ho, and Kalpana Tyagi, Openness, Internet Policy Review, March 2022.

Chung, Kai-Min

  • Prabhanjan Ananth, Kai-Min Chung, Xiong Fan, Luowen Qian, Collusion-Resistant Functional Encryption for RAMs, The 28th Annual International Conference on the Theory and Applications of Cryptology and Information Security (ASIACRYPT 2022), December 2022.
  • Nai-Hui Chia, Kai-Min Chung, Xiao Liang, Takashi Yamakawa, Post-Quantum Simulatable Extraction with Minimal Assumptions: Black-Box and Constant-Round, The 42nd International Cryptology Conference (CRYPTO 2022), August 2022.
  • T-H. Hubert Chan, Kai-Min Chung, Bruce Maggs, Elaine Shi, Foundations of Differentially Oblivious Algorithms, The Journal of the ACM (JACM), August 2022.
  • Per Austrin, Hao Chung, Kai-Min Chung, Shiuan Fu, Yao-Ting Lin, Mohammad Mahmoody, On the Impossibility of Key Agreements from Quantum Random Oracles, The 42nd International Cryptology Conference (CRYPTO 2022), August 2022.
  • Kai-Min Chung, Yi Lee, Han-Hsuan Lin, Xiaodi Wu, Constant-round Blind Classical Verification of Quantum Sampling, The 41st Annual International Conference on the Theory and Applications of Cryptology and Information Security (Eurocrypt 2022), May 2022.
  • Rohit Chatterjee, Kai-Min Chung, Xiao Liang, Giulio Malavolta, A Note on the Post-Quantum Security of (Ring) Signatures, The 25th International Conference on Practice and Theory of Public-Key Cryptography (PKC 2022), March 2022.
  • Nai-Hui Chia, Kai-Min Chung, Qipeng Liu and Takashi Yamakawa, On the Impossibility of Post-Quantum Black-Box Zero-Knowledge in Constant Rounds, The 62nd Annual IEEE Symposium on Foundations of Computer Science (FOCS 2021), February 2022, Contributed talk at QCrypt 2021 and QIP 2022..

Ho, Jan-Ming

  • Chi-Jen Wu and Jan-Ming Ho, Time-Critical Data Dissemination Under Flash Crowd Traffic, IEEE Open Journal of the Computer Society, February 2022, doi: 10.1109/OJCS.2022.3149411.

Hong, Ding-Yong

  • Yi You, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu and Wei-Chung Hsu, Accelerating Convolutional Neural Networks via Inter-operator Scheduling, IEEE International Conference on Parallel and Distributed Systems (ICPADS), Best Paper Runner-up, December 2022.
  • Kung-Fu Chen and Ding-Yong Hong, Rewriting Deep Learning Models for Maximizing Edge TPU Utilization, IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 2022.
  • Hong-Xuan Wei, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, An-Tai Chen, CNN Models Acceleration Using Filter Pruning and Sparse Tensor Core, International Journal on Networking and Computing, July 2022.
  • Kuan-Wei Lu, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, Efficient Dual Batch Size Deep Learning for Distributed Parameter Server Systems, IEEE Computers, Software, and Applications Conference (COMPSAC 2022, acceptance rate 22%), June 2022.
  • Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Kung-Fu Chen, Pangfeng Liu, and Wei-Chung Hsu, Accelerating Video Captioning on Heterogeneous System Architectures, ACM Transactions on Architecture and Code Optimization (TACO), May 2022.

Hsu, Tsan-sheng

  • Wei Ping Goh and Shu-Chen Tsai and Hung-Jui Chang and Ting-Yu Lin and Chien-Chi Chang and Mei-Lien Pan and Da-Wei Wang and Tsan-sheng Hsu, Household Structure Projection: a Monte-Carlo based approach, Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), July 2022.
  • Zong-Kai Lai and Yi-Ting Chiang and Tsan-sheng Hsu and Hung-Jui Chang, Using Machine Learning Methods and the Influenza Simulation System to Explore the Similarities of Taiwan’s Administrative Regions, Proceedings of the 11th International Conference on Data Science, Technology and Applications (DATA), July 2022, ISBN 978-989-758-583-8, ISSN 2184-285X, DOI: 10.5220/0011279100003269.

Huang, Hen-Hsen

  • You-En Lin, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), December 2022.
  • Wei-Lin Chen, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, Learning to Generate Explanation from e-Hospital Services for Medical Suggestion, Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), October 2022.
  • An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, Unanswerable Question Correction and Explanation over Personal Knowledge Base, Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), October 2022.
  • Yu-Ting Lee, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang, A Multi-grained Dataset for News Event Triggered Knowledge Update, Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), October 2022.
  • Po-Cheng Wu, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation, Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), October 2022.
  • Fa-Hsuan Hsiao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen, Modeling Inter Round Attack of Online Debaters for Winner Prediction, Proceeding of the 31st Web Conference (WWW 2022), April 2022.
  • Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen, An Overview of Financial Technology Innovation, Proceeding of the 31st Web Conference (WWW 2022), April 2022.

Hwang, Wen-Liang

  • Jinn Ho, Shih-Shuo Tung, Wen-Liang Hwang, Recent Advances in Wavelet Transforms and Their Applications, 2022.

Ko, Hsiang-Shang

  • Hsiang-Shang Ko, Liang-Ting Chen, and Tzu-Chi Lin, Datatype-generic programming meets elaborator reflection, Proceedings of the ACM on Programming Languages, August 2022.
  • Liang-Ting Chen and Hsiang-Shang Ko, Realising intensional S4 and GL modalities, Conference on Computer Science Logic (CSL), February 2022.

Ku, Lun-Wei

  • Min-Hsuan Yeh, Vicent Chen, Ting-Hao (Kenneth)Haung, Lun-Wei Ku, Multi-VQG: Generating Engaging Questions from Multiple Images, in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), December 2022.
  • Shih-Chieh Dai, Yi-Li Hsu, Aiping Xiong and Lun-Wei Ku, Ask to know more: Counterfactual Explanations for Fake Claims, in Proceedings of The Conference on Knowledge Discovery and Data Mining (SIGKDD 2022), August 2022.
  • Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku, Learning to Rank Visual Stories From Human Ranking Data, in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), May 2022.
  • Valerio Basile, Tommaso Caselli, Alexandra Balahur, Lun-Wei Ku, Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing, Frontiers in Artificial Intelligence, May 2022.
  • Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku, VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading, in Proceedings of The ACM Web Conference 2022 (WWW ’22), April 2022.
  • Chang-You Tai, Ming-Yao Li, Lun-Wei Ku, Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction, in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), February 2022.

Liao, Mark

  • C. Y. Wang, H. Y. Mark Liao, and I-Hau Yeh, Designing Network Design Strategies Through Gradient Path Analysis, arXiv:2211.04800v1, November 2022.
  • Po-Kang Lin and Yu-Hsien Chiu and Chiu-Jung Huang and Chien-Yao Wang and Mei-Lien Pan and Da-Wei Wang and Hong-Yuan Mark Liao and Yong-Sheng Chen and Chieh-Hsiung Kuan and Shih-Yen Lin and Li-Fen Chen, PADAr: physician-oriented artificial intelligence-facilitating diagnosis aid for retinal diseases, Journal of Medical Imaging, July 2022.
  • C. Y. Wang, Alexey Bochkovskiy, H. Y. Mark Liao, YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, arXiv:2207.02696v1, July 2022.
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.

Liau, Churn-Jung

  • Y.R. Syau, E.B. Lin, and C.J. Liau, A note on categories about rough sets, 2022.

Lin, Chung-Yen

  • Chen, SL, Lundy, DJ, Ruan, SC, Chen, HC, Chao, YK, Cheng, YY, Prajnamitra, PR, Liao, CC, Lin, CY, Lai, JJ, Hsieh, PC, The gut microbiota regulates acute foreign body reaction and tissue repair after biomaterial implantation, Biomaterials, October 2022, IF=15.30 (1/53, Materials Science, Biomaterials).
  • Chia-Hui Lo, Deng-Chyang Wu, Shu-Wen Jao, Chang-Chieh Wu, Chung-Yen Lin, Chia-Hsien Chuang, Ya-Bo Lin, Chien-Hsiun Chen, Ying-Ting Chen, Jiann-Hwa Chen, Koung-Hung Hsiao, Ying-Ju Chen, Yuan-Tsong Chen, Jaw-Yuan Wang, Ling-Hui Li, Enrichment of Prevotella intermedia in human colorectal cancer and its additive effects with Fusobacterium nucleatum on the malignant transformation of colorectal adenomas, Journal of Biomedical Science, October 2022, (IF=8.41).
  • Tzu-Tang Lin, Yih-Yun Sun, Ching-Tien Wang, Wen-Chih Cheng, I-Hsuan Lu, Chung-Yen Lin*, Shu-Hwa Chen*, AI4AVP: An Antiviral Peptides Predictor in Deep Learning Approach with Generative Adversarial Network Data Augmentation, Bioinformatics Advances, October 2022, Online first.
  • Yen-Cheng Chen, Chia-Hsien Chuang, Zhi-Feng Miao, Kwan-Ling Yip, Chung-Jung Liu, Ling-Hui Li, Deng-Chyang Wu, Tian-Lu Cheng, Chung-Yen Lin* and Jaw-Yuan Wang*, Gut Microbiota Composition in Chemotherapy and Targeted Therapy of Patients with Metastatic Colorectal Cancer, Frontiers in Oncology, September 2022, (IF=5.738, 78/245, ONCOLOGY).
  • Tsai, Chia-Fen, Chuang, Chia-Hsien, Wang, Yen-Po, Lin, Ya-Bo, Tu, Pei-Chi, Liu Pei-Yi, Wu, Po-Shan, Lin, Chung-Yen, Lu, Ching-Liang, Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression, Frontiers in Aging Neuroscience, July 2022, IF= 5.7 (16/54, GERIATRICS & GERONTOLOGY).
  • Chih-Wei Huang, Wei-Hsuan Chuang, Chung-Yen Lin, Shu-Hwa Chen, Elegancy: Digitizing the Wisdom from Laboratories to the Cloud with Free No-Code Platform, iScience, July 2022, (IF= 6.107, 20/134, MULTIDISCIPLINARY SCIENCES), Availability: https://hub.docker.com/r/lsbnb/eln.
  • Yi-Jie Li, Chia-Hsien Chuang, Wen-Chih Cheng, Shu-Hwa Chen, Wen-Ling Chen, Yu-Jie Lin, Chung-Yen Lin*, Yang-hsin Shih*, A metagenomics study of hexabromocyclododecane degradation with a soil microbial community, Journal of Hazardous Materials, May 2022, (IF=14.24, 3/54, ENGINEERING, ENVIRONMENTAL).
  • Yao-Tsung Tsai, Chih-Yi Li, Yen-Hua Huang, Te-Sheng Chang, Chung-Yen Lin, Chia-Hsien Chuang, Chih-Yang Wang, Gangga Anuraga, Tzu-Hao Chang, Tsung-Chieh Shih, Zu-Yau Lin, Yuh-Ling Chen, Ivy Chung, Kuen-Haur Lee, Che-Chang Chang, Shian-Ying Sung, Kai-Huei Yang, Wan-Lin Tsui, Chee-Voon Yap, Ming-Heng Wu, Galectin-1 orchestrates an inflammatory tumor-stroma crosstalk in hepatoma by enhancing TNFR1 protein stability and signaling in carcinoma-associated fibroblasts, Oncogene, April 2022, (IF=8.756, 25/321, BIOCHEMISTRY & MOLECULAR BIOLOGY).
  • Chun-Chieh Liao, Po-Ying Fu, Chih-Wei Huang, Chia-Hsien Chuang, Yun Yen, Chung-Yen Lin*, Shu-Hwa Chen*, An integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification, Bioinformatics, March 2022, IF=6.937, Q1, 3/239, Statistics and Probability.
  • Yih-Yun Sun†, Tzu-Tang Lin†, Wen-Chih Cheng, I-Hsuan Lu, Chung-Yen Lin,* and Shu-Hwa Chen *, Peptide-Based Drug Predictions for Cancer Therapy Using Deep Learning, Pharmaceuticals, March 2022, IF=5.863.
  • Chen, Che-Chun, Chang-Wen Huang, Chung-Yen Lin, Chia-Hui Ho, Hong N. Pham, Te-Hua Hsu, Tzu-Tang Lin, Rong-Hwa Chen, Shuenn-Der Yang, Chin-I. Chang, and Hong-Yi Gong., Development of Disease-Resistance-Associated Microsatellite DNA Markers for Selective Breeding of Tilapia (Oreochromis spp.) Farmed in Taiwan, Genes, January 2022, Selected as Feature Paper.

Lin, Jen-Chun

  • Hsin-Min Chou, Ting-Wei Lin, Jen-Chun Lin, Ching Te Chiu, and Li Su, CCVS: A Dataset for Concert Videography Research, Late-breaking/Demo (LBD) Session of International Society of Music Information Retrieval Conference (ISMIR LBD), December 2022.
  • Jung Yeh, Wen-Li Wei, Duan-Yu Chen, and Jen-Chun Lin, Learning to Sharpen Partially Blurred Image via Iterative Blurred Region Mining and Recovery, APSIPA Annual Summit and Conference (APSIPA ASC), November 2022.
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.

Liu, Jing-Sin

  • Ming-Hsiu Lee, Jing-Sin Liu, Single swept volume reconstruction by signed distance function learning: a feasibility study based on implicit geometric regularization, 6th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2022), Cluj-Napoca, Romania, July 2022.
  • HC Liao, HJ Chou and JS Liu, Applied Intelligence - Annual Volume 2022, May 2022.

Liu, Tyng-Luh

  • Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen and Yann LeCun, Decoupled Contrastive Learning, 17th European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, October 2022, (ECCV).
  • Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh and Tyng-Luh Liu, Self-Supervised Sparse Representation for Video Anomaly Detection, 17th European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, October 2022, (ECCV).
  • Robert Kaderka, Keng-Chi Liu, Lawrence Liu, Reynald VanderStraeten, Tyng-Luh Liu, Kuang-Min Lee, Yi-Chin Ethan Tu, Iain MacEwan, Daniel Simpson, James Urbanic and Chang Chang, Toward Automatic Beam Angle Selection for Pencil-Beam Scanning Proton Liver Treatments: A Deep Learning–based Approach, Medical Physics, July 2022, (Editor's Choice).
  • Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
  • Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu, SAGA: Self-Augmentation with Guided Attention for Representation Learning, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, (ICASSP).
  • Ta-Ying Cheng, Hsuan-ru Yang, Niki Trigoni, Hwann-Tzong Chen and Tyng-Luh Liu, Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction, Thirty-Sixth AAAI Conference on Artificial Intelligence, February 2022, (AAAI).
  • Jun-Liang Lin, Tsung-Ting Hsieh, Yi-An Tung, Xuan-Jun Chen, Yu-Chun Hsiao, Chia-Lin Yang, Tyng-Luh Liu and Chien-Yu Chen, ezGeno: An Automatic Model Selection Package for Genomic Data Analysis, Bioinformatics, January 2022.
  • He-Yen Hsieh , Ding-Jie Chen, and Tyng-Luh Liu, Contextual Proposal Network for Action Localization, Winter Conference on Applications of Computer Vision, January 2022, (WACV).
  • Lung-Wen Tsai, Kuo-Ching Yuan, Sen-Kuang Hou, Wei-Lin Wu, Chen-Hao Hsu, Tyng-Luh Liu, Kuang-Min Lee, Chiao-Hsuan Li, Hann-Chyun Chen, Ethan Tu, Rajni Dubey, Chun-Fu Yeh and Ray-Jade Chen, Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach, Biology, 2022.

Lu, Chi-Jen

  • Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens, Aristides Gionis, and Chi-Jen Lu, Improved analysis of randomized SVD for top-eigenvector approximation, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, March 2022.
  • Po-An Chen, Chi-Jen Lu, and Yu-Sin Lu, An alternating algorithm for finding linear Arrow-Debreu market equilibria, Theory of Computing Systems, 2022.

Lu, Chun-Shien

  • Hao-Ting Wei, Chung-Shou Liao, Sung-Hsien Hsieh, and Chun-Shien Lu, Link Delay Estimation Using Sparse Recovery for Dynamic Network Tomography, IEEE World Forum on Internet of Things (WFIOT), November 2022.
  • Gang-Xuan Lin, Shih-Wei Hu, and Chun-Shien Lu, QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving L_q-Norm Optimization Problem, 17th European Conference on Computer Vision (ECCV), October 2022.
  • Chun-Shien Lu, Sparse Trigger Pattern Guided Deep Learning Model Watermarking, ACM Workshop on Information Hiding and Multimedia Security (ACM IH&MMSec), June 2022.
  • Jia-Wei Chen, Chia-Mu Yu, Ching-Chia Kao, Tzai-Wei Pang, and Chun-Shien Lu, DPGEN: Differentially Private Generative Energy-Guided Network for High-Resolution Natural Image Synthesis, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022, (selected for an Oral presentation).

Ma, Wei-Yun

  • Chin-Tung Lin, Wei-Yun Ma, HanTrans: An Empirical Study on Cross-Era Transferability of Chinese Pre-trained Language Model, ROCLING, November 2022.
  • Yu-Ming Hsieh, Yueh-Yin Shih, Wei-Yun Ma, Converting the Sinica Treebank of Mandarin Chinese to Universal Dependencies, LREC Workshop on LAW, June 2022.
  • Yin-Hsiang Liao and Wei-Yun Ma, Conversational AI for Positive-sum Retailing under Falsehood Control, ACL Workshop on ConvAI, May 2022.

Niederhagen, Ruben

  • Ruben Niederhagen, Johannes Roth, and Julian Wälde, Streaming SPHINCS+ for Embedded Devices using the Example of TPMs, Progress in Cryptology — AFRICACRYPT 2022, October 2022.
  • Sebastian Paul, Yulia Kuzovkova, Norman Lahr, and Ruben Niederhagen, Mixed Certificate Chains for the Transition to Post-Quantum Authentication in TLS 1.3, ACM on Asia Conference on Computer and Communications Security, May 2022.
  • Po-Jen Chen, Tung Chou, Sanjay Deshpande, Norman Lahr, Ruben Niederhagen, Jakub Szefer, and Wen Wang, Complete and Improved FPGA Implementation of Classic McEliece, TCHES, 2022.

Su, Li

  • Tsung-Ping Chen and Li Su, Postprocessing-free joint beat and downbeat estimation, International Society for Music Information Retrieval Conference (ISMIR), December 2022.
  • Jui-Te Wu, Jun-You Wang, Jyh-Shing Roger Jang, Li Su, A unified model for zero-shot singing voice conversion and synthesis, International Society for Music Information Retrieval Conference, December 2022.

Sung, Ting-Yi

  • Wai-Kok Choong and Ting-Yi Sung*, Multi-aspect examinations of possible alternative mappings of identified variant peptides: a case study on the HEK293 cell line, ACS Omega, May 2022.
  • Jen‑Hung Wang, Wai‑Kok Choong, Ching‑Tai Chen*, and Ting‑Yi Sung*, Calibr improves spectral library search for spectrum‑centric analysis of data independent acquisition proteomics, Scientific Reports, February 2022.

Tsai, Huai-Kuang

  • 1. Li, P.H., Chen, T.F., Yu, J.Y., Shih, S.H., Su, C.H., Lin, Y.H., Tsai, H.K., Juan, H.F., Chen, C.Y. and Huang, J.H., pubmedKB: an interactive web server to explore biomedical entity relations from biomedical literature, Nucleic Acids Research, July 2022.

Tsai, Meng-Tsung

  • Jie Gao, Mayank Goswami, Karthik C. S., Meng-Tsung Tsai, Shih-Yu Tsai, Hao-Tsung Yang, Obtaining Approximately Optimal and Diverse Solutions via Dispersion, In: the 15th Theoretical Informatics - Latin American Symposium (LATIN), November 2022.

WU, TI-RONG

  • Chih-Yu Kao, Hung Guei, Ti-Rong Wu, I-Chen Wu, Gumbel MuZero for the Game of 2048, The 27th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2022), December 2022.
  • Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh, Are AlphaZero-like Agents Robust to Adversarial Perturbations?, Conference on Neural Information Processing Systems (NeurIPS 2022), November 2022.
  • Ti-Rong Wu*, Chung-Chin Shih, Ting Han Wei*, Meng-Yu Tsai, Wei-Yuan Hsu, I-Chen Wu, AlphaZero-based Proof Cost Network to Aid Game Solving, International Conference on Learning Representations (ICLR 2022), April 2022, (*: equal contribution).
  • Chung-Chin Shih*, Ti-Rong Wu*, Ting Han Wei, I-Chen Wu, A Novel Approach to Solving Goal-Achieving Problems for Board Games, The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), February 2022, (*: equal contribution).

Wang, Chien-Min

  • Yang Syu and Chien-Min Wang, Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary Trial, Proceedings of of the 22nd IEEE International Conference on Data Mining, Orlando, USA, December 2022.
  • Joshua Ho, Chien-Min Wang, Chun-Hsiang Chuang, Chung-Ta King, Chi-Wei Feng, Tun-Hsiang Chou, Yen-Min Chen, Yu-Hsin Yang, and Yi-Cheng Hsiao, Bootstrapping Human-Autonomy Collaborations by using Brain-Computer Interface of SSVEP for Multi-Agent Deep Reinforcement Learning, Proceedings of the IEEE 3rd International Conference on Human-Machine Systems,, Orlando, USA, November 2022.
  • Yang Syu, Chien-Min Wang, and Yong-Yi Fanjiang, A Verified Application of Genetic Programming: QoS Time Series Modeling and Forecasting for Web Services, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, Boston, USA, July 2022.
  • Kai-Hsun Chen, Huan-Ping Su, Wei-Chiu Chuang, Hung-Chang Hsiao, Wangda Tan, Zhankun Tang, Xun Liu, Yanbo Liang, Wen-Chih Lo, Wanqiang Ji, Byron Hsu, Keqiu Hu, HuiYang Jian, Quan Zhou, and Chien-Min Wang, Apache Submarine: A Unified Machine Learning Platform Made Simple, Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 2022.

Wang, Da-Wei

  • Wei Ping Goh and Shu-Chen Tsai and Hung-Jui Chang and Ting-Yu Lin and Chien-Chi Chang and Mei-Lien Pan and Da-Wei Wang and Tsan-sheng Hsu, Household Structure Projection: a Monte-Carlo based approach, Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), July 2022.
  • Po-Kang Lin and Yu-Hsien Chiu and Chiu-Jung Huang and Chien-Yao Wang and Mei-Lien Pan and Da-Wei Wang and Hong-Yuan Mark Liao and Yong-Sheng Chen and Chieh-Hsiung Kuan and Shih-Yen Lin and Li-Fen Chen, PADAr: physician-oriented artificial intelligence-facilitating diagnosis aid for retinal diseases, Journal of Medical Imaging, July 2022.

Wang, Hsin-Min

  • Hung-Shin Lee, Pin-Yuan Chen, Yao-Fei Cheng, Yu Tsao and Hsin-Min Wang, Speech-enhanced and Noise-aware Networks for Robust Speech Recognition, International Symposium on Chinese Spoken Language Processing (ISCSLP2022), December 2022.
  • Yun-Ju Chan, Chiang-Jen Peng, Syu-Siang Wang, Hsin-Min Wang, Yu Tsao, and Tai-Shih Chi, Speech Enhancement-Assisted Voice Conversion in Noisy Environments, APSIPA Annual Summit and Conference (APSIPA ASC 2022), November 2022.
  • Aleksandra Smolka, Hsin-Min Wang, Jason S. Chang and Keh-Yih Su, Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus?, The 34th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2022), November 2022.
  • Shang-Bao Luo, Hsin-Min Wang, Kuan-Yu Chen, Keh-Yih Su, Yu Tsao and Cheng-Chung Fan, Chinese Movie Dialogue Question Answering Dataset, The 34th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2022), November 2022, (in Chinese).
  • Sahibzada Adil Shahzad, Ammarah Hashmi,Sarwar Khan, Yan-Tsung Peng, Yu Tsao, and Hsin-Min Wang, Lip Sync Matters: A Novel Multimodal Forgery Detector, APSIPA Annual Summit and Conference (APSIPA ASC 2022), November 2022.
  • Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin, Yu Tsao, and Hsin-Min Wang, Multimodal Forgery Detection Using Ensemble Learning, APSIPA Annual Summit and Conference (APSIPA ASC 2022), November 2022.
  • Shih-Kuang Lee, Yu Tsao, and Hsin-Min Wang, Detecting Replay Attacks Using Single-Channel Audio: The Temporal Autocorrelation of Speech, APSIPA Annual Summit and Conference (APSIPA ASC 2022), November 2022.
  • Yin-Ping Cho, Yu Tsao, Hsin-Min Wang, and Yi-Wen Liu, Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN, APSIPA Annual Summit and Conference (APSIPA ASC 2022), November 2022.
  • Wen Chin Huang, Erica Cooper, Yu Tsao, Hsin-Min Wang, Tomoki Toda and Junichi Yamagishi, The VoiceMOS Challenge 2022, Interspeech2022, September 2022.
  • Hung-Shin Lee, Pin-Tuan Huang, Yao-Fei Cheng and Hsin-Min Wang, Chain-based Discriminative Autoencoders for Speech Recognition, Interspeech2022, September 2022.
  • Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, Yu Tsao, NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling, Interspeech 2022, September 2022.
  • Fan-Lin Wang, Hung-Shin Lee, Yu Tsao and Hsin-Min Wang, Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks, Interspeech2022, September 2022.
  • Ryandhimas Edo Zezario, Szu-wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang and Yu Tsao, MTI-Net: A Multi-Target Speech Intelligibility Prediction Model, Interspeech2022, September 2022.
  • Ryandhimas Edo Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang and Yu Tsao, MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids, Interspeech2022, September 2022.
  • Chiang-Lin Tai, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang, Filter-based Discriminative Autoencoders for Children Speech Recognition, EUSIPCO2022, August 2022.
  • Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, and Yu Tsao, EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2022), May 2022.
  • Haibin Wu, Heng-Cheng Kuo, Naijun Zheng, Kuo-Hsuan Hung, Hung-yi Lee, Yu Tsao, Hsin-Min Wang, Helen Meng, Partially Fake Audio Detection by Self-attention-based Fake Span Discovery, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2022), May 2022, arXiv:2202.06684.
  • Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi, Yu Tsao, and Hsin-Min Wang, SVSNet: An End-to-end Speaker Voice Similarity Assessment Model, IEEE Signal Processing Letters, 2022, arXiv:2107.09392.
  • Shang-Yi Chuang, Hsin-Min Wang, and Yu Tsao, Improved Lite Audio-Visual Speech Enhancement, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, arXiv:2008.13222.

Wu, Jan-Jan

  • Yu-Jen Chang, Ding-Yong Hong, Pangfeng Liu, and Jan-Jan Wu, Efficient Inference on Convolutional Neural Networks by Image Difficulty Prediction, IEEE International Conference on Big Data, the Machine learning with Big Data track., December 2022.
  • Yi You, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu and Wei-Chung Hsu, Accelerating Convolutional Neural Networks via Inter-operator Scheduling, IEEE International Conference on Parallel and Distributed Systems (ICPADS), Best Paper Runner-up, December 2022.
  • Hong-Xuan Wei, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, An-Tai Chen, CNN Models Acceleration Using Filter Pruning and Sparse Tensor Core, International Journal on Networking and Computing, July 2022.
  • Guan-Chen Pan, Pangfeng Liu, Jan-Jan Wu, A Cloud-Native Online Judge System, IEEE International Workshop on Digitalized Adaptive Learning & Immersive Technology Education, June 2022.
  • Kuan-Wei Lu, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, Efficient Dual Batch Size Deep Learning for Distributed Parameter Server Systems, IEEE Computers, Software, and Applications Conference (COMPSAC 2022, acceptance rate 22%), June 2022.
  • Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Kung-Fu Chen, Pangfeng Liu, and Wei-Chung Hsu, Accelerating Video Captioning on Heterogeneous System Architectures, ACM Transactions on Architecture and Code Optimization (TACO), May 2022.

Yang, Bo-Yin

  • A. Abdulrahman, J.-P. Chen, Y.-J. Chen, V. Hwang, M. J. Kannwischer, and B.-Y. Yang, Multi-moduli NTTs for Saber on Cortex-M3 and Cortex-M4, IACR Transactions on Cryptographic Hardware and Embedded Systems, January 2022.

Yang, De-Nian

  • T.-A. Chen, D.-N. Yang, and M.-S. Chen, ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences, Conference on Neural Information Processing Systems (NeurIPS), December 2022.
  • B.-J. Chen and D.-N. Yang, User Recommendation in Social Metaverse with VR, ACM International Conference on Information and Knowledge Management (ACM CIKM), October 2022.
  • M. Styczen, B.-J. Chen, Y.-W. Teng, Y.-A. Pignolet, L. Chen, and D.-N. Yang, Targeted Influence with Community and Gender-Aware Seeding, ACM International Conference on Information and Knowledge Management (ACM CIKM), October 2022.
  • J.-J. Kuo, C.-H Wang, Y. Shi, D.-N. Yang, and W.-T. Chen, Scalable Rate Allocation for SDN with Diverse Service Requirements, IEEE Trans. on Service Computing, July 2022.
  • T.-A. Chen, D.-N. Yang, and M.-S. Chen, AlignQ: Alignment Quantization with ADMM-based Correlation Preservation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
  • Y.-W. Teng, Y. Shi, D.-N. Yang, W.-C. Lee, P. S. Yu, Y.-L. Lu, and M.-S. Chen, Epidemic Spread Optimization for Disease Containment with NPIs and Vaccination, IEEE International Conference on Data Engineering (IEEE ICDE), June 2022.
  • C. P. K. Fotsing, Y.-W. Teng, G.-S. Lee, C.-Y. Shen, Y.-S. Chen, and D.-N. Yang, On Epidemic-Aware Socio Spatial POI Recommendation, IEEE International Conference on Mobile Data Management (IEEE MDM), June 2022.
  • T.-Y. Chen, C.-H. Wang, J.-P. Sheu, G.-S. Lee, and D.-N. Yang, Resource Allocation for the 4G and 5G Dual-Connectivity Network with NOMA and NR, IEEE International Conference on Communications (IEEE ICC), May 2022.
  • T.-C. His, D.-N. Yang, and W. Liao, Latency Synchronization for Social VR with Mobile Edge Computing, IEEE International Conference on Communications (IEEE ICC), May 2022.
  • K.-Y. Liao, C.-W. Lin, D.-N. Yang, and W. Liao, Redirected Walking with IRS-assisted Beamforming, IEEE International Conference on Communications (IEEE ICC), May 2022.
  • M.-S. Chung, C.-H. Wang, D.-N. Yang, G.-S. Lee, W.-T. Chen, and J.-P. Sheu, SIoT Selection, Clustering, and Routing for Federated Learning with Privacy-Preservation, IEEE International Conference on Communications (IEEE ICC), May 2022.

Yeh, Mi-Yen

  • Chia-Chen Yen, Mi-Yen Yeh, and Ming-Syan Chen, Unified Multiple Constant Multipliers for Dynamic Exchange of Low-Precision Kernels on FPGAs," in, IEEE Transactions on Circuits and Systems II: Express Briefs, March 2022.