Institute of Information Science

Automatic Music Concert Animation

Incorporating artificial intelligence into the multimedia is a complex project. Itinvolves integration of cross-modal data, such as images, musical sounds, and evenbody movement. In this project, we focus on such integration technology inanimation. We endeavor to teach machines to understand music content, match thebody movement of virtual characters to that content, and even allow virtual musiciansto perform with human. Such technology will not only make the animation taskefficient but also explore new possibilities of interactive multimedia.

Cryptography in the Quantum Era: Challenge and Opportunity

With the rapid advance of quantum technology, it becomes increasingly imperative to understand the role of quantum in cryptography. We have worked on this exciting interdisciplinary field for a decade from both practical and theoretical aspects. In particular, we have actively participated in the post-quantum cryptography standardization process by the U.S. National Institute of Standards and Technology (NIST) with one submission surviving in round 2. On the theoretical side, we have broad interests and contributed to several research topics such as device-independent randomness amplification, classical delegation of quantum computation, and security in the quantum random oracle model.

Assemble and Annotate Economically Important Genome in Chromosome

Rapid progress in sequencing technologies has moved biomedical research into the era of big data. However, consider the limitation on budget and computational burdens for releasing the full power of raw sequences. We develop a new hybrid and spiral strategy to sketch the draft genome by integrating gap-closing and scaffolding algorithms using local de novo assembly of link reads. This approach has improved the genome assemblies of human and vital aquaculture species, both in terms of continuity and completeness for precision medicine and genome breeding.

AirBox: a participatory PM2.5 sensing system

The AirBox project is the largest l participatory PM2.5 sensing system in the world. The project enables low-cost PM2.5 sensing and enriches environmental data analysis at a finer spatio-temporal granularity. It provides innovative services for anomaly detection, emission source finding, and data forecast; and it has created a positive ecosystem involving academia, industry, governments, and citizens. It has the potential to facilitate smart city design, intelligent environmental governance, and public-private partnerships for the common good into the future.

RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images with Diverse Sizes and Imbalanced Categories

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023

Yuan-Chih Chen and Chun-Shien Lu

Self-Adapted Utterance Selection for Suicidal Ideation Detection in Lifeline Conversations

The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), January 2023

Zhong-Ling Wang, Po-Hsien Huang, Wen-Yau Hsu and Hen-Hsen Huang

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

Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Yi-Da Huang, 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

Yu-Cheng Lin, Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, and Wei-Kuan Shih

SGIRR: Sparse Graph Index Remapping for ReRAM Crossbar Operation Unit and Power Optimization

ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2022

Cheng-Yuan Wang, Yao-Wen Chang, and Yuan-Hao Chang

D4AM: A General Denoising Framework for Downstream Acoustic Models

The Eleventh International Conference on Learning Representations, ICLR 2023, May 2023

Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, Chu-Song Chen

Generalization Ability Improvement of Speaker Representation and Anti-Interference for Speaker Verification

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023

Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang

Designing Network Design Strategies Through Gradient Path Analysis

arXiv:2211.04800v1, November 2022

C. Y. Wang, H. Y. Mark Liao, and I-Hau Yeh

Performance Enhancement of SMR-based Deduplication Systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), September 2022

Chun-Feng Wu, Martin Kuo, Ming-Chang Yang, and Yuan-Hao Chang

Accelerating Convolutional Neural Networks via Inter-operator Scheduling

IEEE International Conference on Parallel and Distributed Systems (ICPADS), Best Paper Runner-up, December 2022

Yi You, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu and Wei-Chung Hsu

Evolving Skyrmion Racetrack Memory as Energy-Efficient Last-Level Cache Devices

ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2022

Ya-Hui Yang, Shuo-Han Chen, and Yuan-Hao Chang

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

Yi-Shen Chen, Yuan-Hao Chang, and Tei-Wei Kuo

A Deconvolution Approach to Unveiling the Immune Microenvironment of Complex Tissues and Tumors in Transcriptomics

BMC Bioinformatics, To Appear

Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I-Hsuan Lu, Chung-Yen Lin

SACS: A Self-Adaptive Checkpointing Strategy for Microkernel-Based Intermittent Systems

ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2022

Yen-Ting Chen, Han-Xiang Liu, Yuan-Hao Chang, Yu-Pei Liang, and Wei-Kuan Shih

Rethinking the Interactivity of OS and Device Layers in Memory Management

ACM Transactions on Embedded Computing Systems (TECS), July 2022

Tse-Yuan Wang, Chun-Feng Wu, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, and Xue Liu

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

You-En Lin, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen

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

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

AI4AVP: An Antiviral Peptides Predictor in Deep Learning Approach with Generative Adversarial Network Data Augmentation

Bioinformatics Advances, October 2022

Tzu-Tang Lin, Yih-Yun Sun, Ching-Tien Wang, Wen-Chih Cheng, I-Hsuan Lu, Chung-Yen Lin*, Shu-Hwa Chen*

Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023

Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao

Rewriting Deep Learning Models for Maximizing Edge TPU Utilization

IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 2022

Kung-Fu Chen and Ding-Yong Hong

The gut microbiota regulates acute foreign body reaction and tissue repair after biomaterial implantation

Biomaterials, October 2022

Chen, SL, Lundy, DJ, Ruan, SC, Chen, HC, Chao, YK, Cheng, YY, Prajnamitra, PR, Liao, CC, Lin, CY, Lai, JJ, Hsieh, PC

Chain-based Discriminative Autoencoders for Speech Recognition

Interspeech2022, September 2022

Hung-Shin Lee, Pin-Tuan Huang, Yao-Fei Cheng and Hsin-Min Wang

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

Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku

Institute of Information Science, Academia Sinica

Automatic Music Concert Animation

Cryptography in the Quantum Era: Challenge and Opportunity

Assemble and Annotate Economically Important Genome in Chromosome

AirBox: a participatory PM2.5 sensing system

Recent Research Results

Academic Activities

TIGP (SNHCC) -- Class-Aware Robust Adversarial Training for Object Detection

Overview of Graph@FIT vision and graphics research(Delivered in English)

TIGP (AIoT) -- Collaborative Edge Computing

TIGP (SNHCC) -- From Data Compression to Learning Quantum States

TIGP (SNHCC) -- Modulation of feature-based attention on visual perceptual Learning and its microsaccade Correlate

TIGP (SNHCC) -- Multimodal Prompting with Missing Modalities for Visual Recognition