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.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2021

Chien-Yao Wang, Alexey Bochkovskiy, and Hong-Yuan Mark Liao

Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, and Chun-Shien Lu

Adaptive Image Transformer for One-Shot Object Detection

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu

Referring Image Segmentation via Language-Driven Attention

International Conference on Robotics and Automation (ICRA), May 2021

Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu

ATACgraph: profiling genome wide chromatin accessibility from ATAC-seq

Frontiers in Genetics, January 2021

Rita Jui-Hsein Lu, Yen-Ting Liu, Chih Wei Huang, Ming-Ren Yen, Chung-Yen Lin and Pao-Yang Chen

Adaptive and Generative Zero-Shot Learning

Ninth International Conference on Learning Representations (ICLR), May 2021

Yu-Ying Chou, Hsuan-Tien Lin and Tyng-Luh Liu

Efficient Video Captioning on Heterogeneous System Architectures

35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2021

Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, Wei-Chung Hsu

Not by Equations Alone: Reasoning with Extensible Effects

Journal of Functional Programming, January 2021

Oleg Kiselyov, Shin-Cheng Mu and Amr Sabry

Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage

Scientific Reports, January 2021

Ching-Tai Chen, Jen-Hung Wang, Cheng-Wei Cheng, Wei-Che Hsu, Chu-Ling Ko, Wai-Kok Choong, and Ting-Yi Sung

Parallel Asynchronous Stochastic Dual Coordinate Descent Algorithms for Efficiency and Convergence

29th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2021), March 2021

Yung-Chen Chen, Pangfeng Liu, Jan-Jan Wu

PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding

The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021

Zhu-Mu Chen, Mi-Yen Yeh, and Tei-Wei Kuo

Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization

The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021

Han-Hsien Huang and Mi-Yen Yeh

A Flexible Template Generation and Matching Method with Applications for Publication Reference Metadata Extraction

Journal of the Association for Information Science and Technology, To Appear

Ting-Hao Yang, Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, and Wen-Lian Hsu

LBERT: Lexically-aware Transformers based Bidirectional Encoder Representation model for learning Universal Bio-Entity Relations

Bioinformatics, To Appear

Neha Warikoo, Yung-Chun Chang, and Wen-Lian Hsu

Text-guided Graph Neural Networks for Referring 3D Instance Segmentation

Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), February 2021

Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen and Tyng-Luh Liu

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

Wai-Kok Choong and Ting-Yi Sung

Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent

Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020

Yun-Hsuan Jen, Chieh-Yang Huang, MeiHua Chen, Ting-Hao Huang and Lun-Wei Ku

Reactive Supervision: A New Method for Collecting Sarcasm Data

Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020

Boaz Shmueli, Lun-Wei Ku and Soumya Ray

Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition

IEEE/ACM Transactions on Audio, Speech, and Language Processing, November 2020

Hung-Shin Lee, Yu Tsao, Shyh-Kang Jeng, and Hsin-Min Wang

Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism

ACM Multimedia Conference, October 2020

Jen-Chun Lin, Wen-Li Wei, Yen-Yu Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao

16th European Conference on Computer Vision (ECCV), August 2020

Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, and Tyng-Luh Liu

An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks

IEEE International Conference on Big Data, December 2020

Leo Chen, Pangfeng Liu, and Jan-Jan Wu

Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs

The 28th International Conference on Computation Linguistics (COLING), December 2020

Wan-Hsuan Lin and Chun-Shien Lu

Determinizing Crash Behavior with a Verified Snapshot-Consistent Flash Translation Layer

USENIX Symposium on Operating Systems Design and Implementation (OSDI), November 2020

Yun-Sheng Chang, Yao Hsiao, Tzu-Chi Lin, Che-Wei Tsao, Chun-Feng Wu, Yuan-Hao Chang, Hsiang-Shang Ko, and Yu-Fang Chen

Cross-batch Reference Learning for Deep Retrieval

IEEE Transactions on Neural Networks and Learning Systems, September 2020

Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen

EpiMOLAS: An Intuitive Web-based Framework for Genome-wide DNA Methylation Analysis

BMC Genomics, April 2020

Sheng-Yao Su, I-Hsuan Lu, Wen-Chih Cheng, Wei-Chun Chung, Pao-Yang Chen, Jan-Ming Ho, Shu-Hwa Chen, Chung-Yen Lin

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

CITI--Speech enhancement: array-based versus learning-based approaches

TIGP (BIO)—Identification of Cancer Prognostic Biomarkers from Multi-Omics Data

CITI--Early Cancer Detection Using Machine Learning

CITI--Quantum Channel Marginal Problem

TIGP (SNHCC) -- On Data Science with Graph Representation Learning

CITI--From 5G toward 6G - Opportunity and Challenge

TIGP (BIO)—Crime Scene Investigation in the RNA World: RNA Degradome Data Analysis

CITI--Bridging Distributional Discrepancy with Temporal Dynamics for Video Understanding

小語料的推理與計算：兼談台灣語奧與 NLP 教育

TIGP (BIO)—Exploration for Personalized Combinatorial Chemotherapies for Cancers