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).
  • 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) (Best Paper Nomination - 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.
  • 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).
  • 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).
  • 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).
  • 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).
  • 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.
  • 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).
  • 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.
  • 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.
  • 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).
  • 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).
  • 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, Ling-Jyh

  • 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.
  • 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.

Chen, Meng Chang

  • 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..
  • 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.
  • Cheng-Jen Lee and Tyng-Ruey Chuang, Programmable Data Repositories, Open Repositories 2022, 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

  • T-H. Hubert Chan, Kai-Min Chung, Bruce Maggs, Elaine Shi, Foundations of Differentially Oblivious Algorithms, The Journal of the ACM (JACM), August 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.
  • 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..

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), 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

  • 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.
  • 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.
  • Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction, 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.
  • 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.

Ko, Hsiang-Shang

  • Tzu-Chi Lin and Hsiang-Shang Ko, Syntax-generic operations, reflectively reified, Workshop on Type-Driven Development (TyDe), September 2022, extended abstract..
  • 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

  • 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 HumanRanking Data, in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 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, 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.
  • 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.
  • 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.

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

  • 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.
  • 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), 2022, 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).
  • 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).
  • 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.
  • 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, 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.
  • 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).
  • Chun-Shien Lu, Sparse Trigger Pattern Guided Deep Learning Model Watermarking, ACM Workshop on Information Hiding and Multimedia Security (ACM IH&MMSec), June 2022.

Ma, Wei-Yun

  • 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

  • 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.
  • Ruben Niederhagen, Johannes Roth, and Julian Wälde, Streaming SPHINCS+ for Embedded Devices using the Example of TPMs, Progress in Cryptology — AFRICACRYPT 2022, 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.

WU, TI-RONG

  • 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, Da-Wei

  • 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

  • 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.
  • Wen Chin Huang, Erica Cooper, Yu Tsao, Hsin-Min Wang, Tomoki Toda and Junichi Yamagishi, The VoiceMOS Challenge 2022, 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.
  • 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.
  • Hung-Shin Lee, Pin-Tuan Huang, Yao-Fei Cheng and Hsin-Min Wang, Chain-based Discriminative Autoencoders for Speech Recognition, 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.
  • 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.
  • 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.
  • 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

  • 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.
  • 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.
  • 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

  • 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.
  • Y.-W. Teng, 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.
  • 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.
  • 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.
  • 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.
  • 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, W.-C. Lin, D.-N. Yang, and W. Liao, Redirected Walking with IRS-assisted Beamforming, IEEE International Conference on Communications (IEEE ICC), May 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, 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.