Publications

Group highlights

At the end of this page, you can find the full list of publications and patents.

Enhancing Security with Virtualization and Real-time Communications for Applications on Autonomous Vehicles

The development of software-defined, fully autonomous driving vehicles has recently become a hot topic. This advancement paves the way for service-oriented and software-centric approaches to in-vehicle computation. However, it also increases the hardware require- ment for the ever-growing software demands. As more computing hardware components are added, resource management and security for mixed-criticality operating environments become increasingly challenging, and virtualization has emerged as a promising technol- ogy for managing and isolating heterogeneous computing resources in vehicles. However, a major drawback of virtualization is performance degradation, and how application pro- cesses communicate efficiently with low latencies via a portable application programming interface (API) in a virtualized environment remains a challenge. In this work, we propose a framework, Zenoh Virtualization Link, or ZVLink, that integrates efficient virtualiza- tion with a lightweight open-source pub/sub API, Zenoh, to achieve efficient and real-time interprocess communications across colocated virtual machines (VMs).

Chih-Hao Chang, Chi-Sheng Shih, and Shih-Hao Hung

The 8th International Symposium on Mobile Internet Security (MobiSec) 2024

A Heterogeneous Computing Framework for Accelerating Fully Homomorphic Encryption

This framework encompasses homomorphic evaluations on multiple platforms including CPU, GPU, and FPGA, paired with a tailored task scheduling algorithm. Each platform is equipped with comprehensive FHE functionalities and employs state-of-the-art imple- mentations, allowing for standalone evaluation of FHE applications.

Chengjhih Shih, Shih-Hao Hung, Chingwen Chen, Chiyferng Perng, Mengchao Kao, Chi-Sheng Shih, and Tei-Wei Kuo

The 7th International Symposium on Mobile Internet Security (MobiSec) 2023

Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning - PathoOpenGait

a cloud-based platform for comprehensive gait analysis. Gait assessment is crucial in neurodegenerative diseases such as Parkinson’s and multiple system atrophy, yet current techniques are neither affordable nor efficient.

Ho, Ming-Yang and Kuo, Ming-Che and Chen, Ciao-Sin and Wu, Ruey-Meei and Chuang, Ching-Chi and Shih, Chi-Sheng and Tseng, Yufeng Jane

IEEE Journal of Biomedical and Health Informatics 2023

 

Full List of publications

Enhancing Security with Virtualization and Real-time Communications for Applications on Autonomous Vehicles
Chih-Hao Chang, Chi-Sheng Shih, and Shih-Hao Hung
The 8th International Symposium on Mobile Internet Security (MobiSec) 2024

A Heterogeneous Computing Framework for Accelerating Fully Homomorphic Encryption
Chengjhih Shih, Shih-Hao Hung, Chingwen Chen, Chiyferng Perng, Mengchao Kao, Chi-Sheng Shih, and Tei-Wei Kuo
The 7th International Symposium on Mobile Internet Security (MobiSec) 2023

Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning - PathoOpenGait
Ho, Ming-Yang and Kuo, Ming-Che and Chen, Ciao-Sin and Wu, Ruey-Meei and Chuang, Ching-Chi and Shih, Chi-Sheng and Tseng, Yufeng Jane
IEEE Journal of Biomedical and Health Informatics 2023

Variational Nested Dropout
Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B Chan, Xue Liu, Tei-Wei Kuo and Chun Jason Xue
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 10519-10534

ZoneLife: How to Utilize Data Lifetime Semantics to Make SSDs Smarter
Yun-Chih Chen, Chun-Feng Wu, Yuan-Hao Chang and Tei-Wei Kuo
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(8), pp. 2488-2499

Exploring Synchronous Page Fault Handling
Yin-Chiuan Chen, Chun-Feng Wu, Yuan-Hao Chang and Tei-Wei Kuo
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(11), pp.3791-3802

Rethinking the Interactivity of OS and Device Layers in Memory Management
Tse-Yuan Wang, Chun-Feng Wu, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo and Xue Liu
ACM Transactions on Embedded Computing Systems (TECS), 21(4), pp. 1-21

Online Rare Category Identification and Data Diversification for Edge Computing
Yufei Cui, Qiao Li, Tei-Wei Kuo and Chun Jason Xue
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(5), pp.1290-1301

CIM-Based Smart Pose Detection Sensors
Jyun-Jhe Chou, Ting-Wei Chang, Xin-You Liu, Tsung-Yen Wu, Yu-Kai Chen , Ying-Tuan Hsu, Chih-Wei Chen, Tsung-Te Liu and Chi-Sheng Shih
Sensors 2022, 22(9), 3491

Accelerating data filtering for database using FPGA
Xuan Sun, Chun Jason Xue, Jinghuan Yu, Tei-Wei Kuo and Xue Liu
Journal of Systems Architecture, 114, pp. 101908

Retrieval-Augmented Multiple Instance Learning
CUI Yufei, Ziquan Liu, CHEN Yixin, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel RD Rodrigues, Chun Jason Xue and Antoni B Chan
Thirty-seventh Conference on Neural Information Processing Systems(NeurIPS) 2023

HAPIC: A Scalable, Lightweight and Reactive Cache for Persistent-Memory-Based Index
Chih-Ting Lo, Yun-Chih Chen, Yuan-Hao Chang and Tei-Wei Kuo
IEEE/ACM International Conference on Computer Aided Design (ICCAD) 2023

FSD: File-related Secure Deletion to Prolong the Lifetime of Solid-State Drives
Shih-Chun Chou, Yi-Shen Chen, Ping-Xiang Chen, Yuan-Hao Chang, Ming-Chang Yang, Tei-Wei Kuo, Yu-Fang Chen and Yu-Ming Chang
IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA) 2023

Self-Supervised Multi-LiDAR Object View Generation Using Single LiDAR
Yi-Hung Kuo, Chi-Sheng Shih, Hsiang-Jui Lin and Shih-Hao Hung
2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

Deep Learning Based End-to-End Specular Reflection Removal for Medical Endoscopic Images
Chi-Sheng Shih, Yu-Cheng Liao and Ching-Ting Tan
ACM International Conference on Research in Adaptive and Convergent Systems 2023

A digital 3D TCAM accelerator for the inference phase of Random Forest
Chieh-Lin Tsai, Chun-Feng Wu, Yuan-Hao Chang, Han-Wen Hu, Yung-Chun Lee, Hsiang-Pang Li and Tei-Wei Kuo
2023 60th ACM/IEEE Design Automation Conference (DAC)

APP: Enabling soft real-time execution on densely-populated hybrid memory system
Zheng-Wei Wu, Yun-Chih Chen, Yuan-Hao Chang and Tei-Wei Kuo
2023 60th ACM/IEEE Design Automation Conference (DAC)

SLResNet: Neural-Network-Based End-to-End Structure Light 3D Reconstruction for Endoscope
Chi-Sheng Shih, Yu Shian Lin, Kai Ju Cheng and Chin Kang Chang
ACM/SIGAPP Symposium on Applied Computing (SAC) 2023

Bayes-MIL: a new probabilistic perspective on attention-based multiple instance learning for whole slide images
Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue and Antoni B Chan
11th International Conference on Learning Representations (ICLR) 2023

Multi-Granularity Shadow Paging with NVM Write Optimization for Crash-Consistent Memory-Mapped I/O
Hongchao Du, Qiao Li, Riwei Pan, Tei-Wei Kuo and Chun Jason Xue
IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2023

LPAQ: Accelerating LPAQ Compression on FPGA
Dongdong Tang, Xuan Sun, Nan Guan, Tei-Wei Kuo and Chun Jason Xue
International Conference on Field-Programmable Technology (ICFPT) 2022

Precise Augmentation and Counting of Helicobacter Pylori in Histology Image
Yufei Cui, Yixin Chen, Zhifeng Shuai, Fang Peng, Yanbo Lv, Luoning Zheng, Xue Liu, Antoni B Chan, Tei-Wei Kuo and Chun Jason Xue
36th Conference on Neural Information Processing Systems (NeurIPS) 2022

Probabilistic Analysis of Network Availability
Yunmo Zhang, Hong Xu, Chun Jason Xue and Tei-Wei Kuo
IEEE 30th International Conference on Network Protocols (ICNP) 2022

Accelerating General-Purpose Lossless Compression via Simple and Scalable Parameterization
Yu Mao, Yufei Cui, Tei-Wei Kuo and Chun Jason Xue
30th ACM International Conference on Multimedia 2022

ICE: An Intelligent Cognition Engine with 3D NAND-based In-Memory Computing for Vector Similarity Search Acceleration
Han-Wen Hu, Wei-Chen Wang, Yuan-Hao Chang, Yung-Chun Lee, Bo-Rong Lin, Huai-Mu Wang, Yen-Po Lin, Yu-Ming Huang, Chong-Ying Lee, Tzu-Hsiang Su, Chih-Chang Hsieh, Chia-Ming Hu, Yi-Ting Lai, Chung-Kuang Chen, Han-Sung Chen, Hsiang-Pang Li, Tei-Wei Kuo, Meng-Fan Chang, Keh-Chung Wang, Chun-Hsiung Hung and Chih-Yuan Lu
55th IEEE/ACM International Symposium on Microarchitecture (MICRO) 2022

Pipette: Efficient Fine-Gained Reads for SSDs
Shuhan Bai, Hu Wan, Yun Huang, Xuan Sun, Fei Wu, Changsheng Xie, Hung-Chih Hsieh, Tei-Wei Kuo and Chun Jason Xue
59th ACM/IEEE Design Automation Conference 2022

TRACE: A Fast Transformer-based General-Purpose Lossless Compressor
Yu Mao, Yufei Cui, Tei-Wei Kuo and Chun Jason Xue
ACM Web Conference 2022

RM-SSD: In-storage computing for large-scale recommendation inference
Xuan Sun, Hu Wan, Qiao Li, Chia-Lin Yang, Tei-Wei Kuo and Chun Jason Xue
IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2022

Automated Video Editing Based on Learned Styles Using LSTM-GAN
H.-I. Huang; C.-S. Shih; Z.-L. Yang
37th ACM/SIGAPP Symposium on Applied Computing 2022

A 512Gb in-memory-computing 3D-NAND flash supporting similar-vector-matching operations on edge-AI devices
Han-Wen Hu, Wei-Chen Wang, Chung-Kuang Chen, Yung-Chun Lee, Bo-Rong Lin, Huai-Mu Wang, Yen-Po Lin, Yu-Chao Lin, Chih-Chang Hsieh, Chia-Ming Hu, Yi-Ting Lai, Han-Sung Chen, Yuan-Hao Chang, Hsiang-Pang Li, Tei-Wei Kuo, Keh-Chung Wang, Meng-Fan Chang, Chun-Hsiung Hung and Chin-Yuan Lu
IEEE International Solid-State Circuits Conference (ISSCC) 2022

CacheSifter: Sifting Cache Files for Boosted Mobile Performance and Lifetime
Yu Liang, Riwei Pan, Tianyu Ren, Yufei Cui, Rachata Ausavarungnirun, Xianzhang Chen, Changlong Li, Tei-Wei Kuo and Chun Jason Xue
20th USENIX Conference on File and Storage Technologies (FAST) 2022

An Extrinsic Depth Camera Calibration Method for Narrow Field of View Color Camera
H.-Y. Chen and C.-S. Shih
ACM 2021 International Conference on Research in Adaptive and Convergent Systems

Deep-Learning-Based Intrusion Detection for Autonomous Vehicle-Following Systems
Sheng-Li Wang, Sing-Yao Wu, Ching-Chu Lin, Srivalli Boddupalli, Po-Jui Chang, Chung-Wei Lin, Chi-Sheng Shih, Sandip Ray
24th IEEE International Conference on Intelligent Transportation Systems (ITSC) 2021

Trajectory Prediction at Unsignalized Intersections using Social Conditional Generative Adversarial Network
Tsu-Jan Hsieh, Chi-Sheng Shih, Chung-Wei Lin, Chih-Wei Chen, Pei-Kuei Tsung
24th IEEE International Conference on Intelligent Transportation Systems (ITSC) 2021

Prediction of Human Intention in Vehicles, Pedestrians and Bicyclists Interactions
Tsung-Yu Chen, Hsiang-Jui Lin, Chi-Sheng Shih, Kuan-Ting Kuo, Qi Liu, Rosa H.M. Chan
24th IEEE International Conference on Intelligent Transportation Systems (ITSC) 2021

FlashEmbedding: storing embedding tables in SSD for large-scale recommender systems
Hu Wan, Xuan Sun, Yufei Cui, Chia-Lin Yang, Tei-Wei Kuo and Chun Jason Xue
12th ACM SIGOPS Asia-Pacific Workshop on Systems 2021

CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
W.-Y. Hong, C.-L. Kao, Y.-H. Kuo, J.-R. Wang, W.-L. Chang, C.-S. Shih
The 12th International Conference on Information Processing in Computer-Assisted Interventions 2021

Passleaf: A pool-based semi-supervised learning framework for uncertain knowledge graph embedding
Zhu-Mu Chen, Mi-Yen Yeh and Tei-Wei Kuo
The AAAI Conference on Artificial Intelligence 2021

Pattern-Guided File Compression with User-Experience Enhancement for Log-Structured File System on Mobile Devices
Cheng Ji, Li-Pin Chang, Riwei Pan, Chao Wu, Congming Gao, Liang Shi, Tei-Wei Kuo and Chun Jason Xue
19th USENIX Conference on File and Storage Technologies (FAST) 2021

Superpixel Tracking: Configurable Polynomial-Time Semantic Segmentation for Endoscope Video
W.-Y. Hong and C.-S. Shih
The 12th International Conference on Information Processing in Computer-Assisted Interventions 2021