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ORCIDDan Chia-Tien Lo
Chia-Tien Dan Lo – Dan Lo 0001 – Dan C. Lo – C. Dan Lo
Person information
- affiliation: Kennesaw State University, Marietta, GA, USA
- affiliation (former): Southern Polytechnic State University, Marietta, GA, USA
- affiliation (2002 - 2008): University of Texas-San Antonio, TX, USA
- affiliation (PhD 2001): Illinois Institute of Technology, Chicago, IL, USA
2020 – today
- 2025
[c118]Arshiya Vyas
, Dan Lo, Xinyue Zhang:
A Comparison of Classical and Quantum Neural Network Algorithms for Malware Detection. ACM Southeast Regional Conference 2025: 134-144- [c117]Md Shamsul Alam, Yash Rakeshbhai Patel, Yaswanthsrinivas Gurram, Chen Zhao, Dan Lo:
A Hybrid Approach of Data Mining and Deep Learning for Network Intrusion Detection. ACM Southeast Regional Conference 2025: 215-220 - [c116]Shrikar Kolla, Dan Lo, Chen Zhao:
Staged Multi-Omics Data Classification for Breast Cancer Diagnosis. ACM Southeast Regional Conference 2025: 233-238 - [c115]Yong Shi, Dan C. Lo, Hongmei Chi, Andrew Polisetty, Kun Suo, Tu Nguyen:
Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. SIGCSE (2) 2025: 1619-1620 - 2024
- [j19]Bobin Deng, Bhargava Nadendla, Kun Suo, Chloe Yixin Xie, Dan Chia-Tien Lo:
Fixed-point Encoding and Architecture Exploration for Residue Number Systems. ACM Trans. Archit. Code Optim. 21(3): 53:1-53:27 (2024) - [c114]Nobel Dhar, Bobin Deng, Dan C. Lo, Xiaofeng Wu, Liang Zhao, Kun Suo:
An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. ACM Southeast Regional Conference 2024: 69-76 - [c113]Kiran Mai Narnavaram, Dan C. Lo:
An Open-Source Chatbot by Using ParlAI. ACM Southeast Regional Conference 2024: 323-324 - [c112]Dan Chia-Tien Lo, Yong Shi, Hossain Shahriar, Bobin Deng, Xinyue Zhang, Mei-Lan Chen:
Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. IEEE Big Data 2024: 6330-6335 - [c111]Akshaj Yenumala, Xinyue Zhang, Dan Lo:
Towards More Robust and Scalable Deep Learning Systems for Medical Image Analysis. IEEE Big Data 2024: 7577-7585 - [c110]Suman Bharti, Dan Chia-Tien Lo, Yong Shi:
Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge Graph. IEEE Big Data 2024: 8628-8630 - 2023
- [c109]Tarun Potluri, Yong Shi, Hossain Shahriar, Dan Chia-Tien Lo, Reza M. Parizi, Hongmei Chi, Kai Qian:
Secure Software Development in Google Colab. AIIoT 2023: 398-402 - [c108]Dhanunjai Bandi, Yong Shi, Hossain Shahriar, Dan C. Lo, Kun Suo, Hongmei Chi, Kai Qian:
Quantum Machine Learning for Security Data Analysis. AIIoT 2023: 460-465 - [c107]Joshua Priest, Cameron Cooper, Savvy Lovell, Yong Shi, Dan Lo:
Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. IEEE Big Data 2023: 2334-2338 - [c106]Dan Chia-Tien Lo, Bobin Deng, Yong Shi:
Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. IEEE Big Data 2023: 3470-3478 - [c105]Yong Shi, Nazmus Sakib, Hossain Shahriar, Dan Lo, Hongmei Chi, Kai Qian:
AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. COMPSAC 2023: 991-992 - [c104]Mst. Shapna Akter, Hossain Shahriar, Dan Lo, Nazmus Sakib, Kai Qian, Michael E. Whitman, Fan Wu:
Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy. COMPSAC 2023: 1010-1012 - [c103]Eric Cooper, Eric Weese, Alex Fortson, Dan Lo, Yong Shi:
Cyber Security in Blockchain. DSC 2023: 1-11 - [c102]Muna Jemal, Dan Chia-Tien Lo:
Detection of Ransomware Attack Using Deep Learning. DSC 2023: 1-9 - [c101]Bobin Deng, Xinyue Zhang, Dan Chia-Tien Lo:
Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy. ICNCC 2023: 168-174 - [c100]Dan C. Lo, Hossain Shahriar, Kai Qian, Michael E. Whitman, Fan Wu, Cassandra Thomas:
Authentic Learning on Machine Learning for Cybersecurity. SIGCSE (2) 2023: 1299 - [c99]Yong Shi, Hossain Shahriar, Dan C. Lo, Kai Qian, Hongmei Chi:
Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. SIGCSE (2) 2023: 1307 - 2022
- [c98]Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Michael E. Whitman, Alfredo Cuzzocrea, Fan Wu, Victor Clincy:
Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) Detection. IEEE Big Data 2022: 5715-5720 - [c97]Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Muhaiminul Islam Adnan:
Ransomware Classification and Detection With Machine Learning Algorithms. CCWC 2022: 316-322 - [c96]Chunlan Gao, Yanqing Zhang, Dan Lo, Yong Shi, Jian Huang:
Improving the Machine Learning Prediction Accuracy with Clustering Discretization. CCWC 2022: 513-517 - [c95]Chulan Gao, Hossain Shahriar, Dan Lo, Yong Shi, Kai Qian:
Improving the Prediction Accuracy with Feature Selection for Ransomware Detection. COMPSAC 2022: 424-425 - [c94]Dan Chia-Tien Lo, Kai Qian, Yong Shi, Hossain Shahriar, Chung Ng:
Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. COMPSAC 2022: 428-429 - [c93]Md. Jobair Hossain Faruk, Mohammad Masum, Hossain Shahriar, Kai Qian, Dan Lo:
Authentic Learning of Machine Learning to Ransomware Detection and Prevention. COMPSAC 2022: 442-443 - [c92]Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Maria Valero, Kai Qian, Dan Lo, Fan Wu, Mohammed Karim, Parth Bhavsar, Jidong Yang:
Scalable Machine Learning Using PySpark. COMPSAC 2022: 454-455 - [c91]Dan Chia-Tien Lo, Hossain Shahriar, Kai Qian, Michael E. Whitman, Fan Wu, Cassandra Thomas:
Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware. SIGCSE (2) 2022: 1153 - [c90]Dan Chia-Tien Lo, Brian Robert Lawler:
Enhance Capacity to Foster Secondary Computer Science Teachers in Multiple Pathways. SIGCSE (2) 2022: 1157 - [i2]Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Farhat Lamia Barsha, Shahriar Sobhan, Md Abdullah Khan, Michael E. Whitman, Alfredo Cuzzocrea, Dan Chia-Tien Lo, Akond Rahman, Fan Wu:
Malware Detection and Prevention using Artificial Intelligence Techniques. CoRR abs/2206.12770 (2022) - [i1]Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan C. Lo, Muhaiminul Islam Adnan:
Ransomware Classification and Detection With Machine Learning Algorithms. CoRR abs/2207.00894 (2022) - 2021
- [c89]Dan Chia-Tien Lo, Brian Robert Lawler:
A study on students' views toward K-12 computer science teaching career. ACM Southeast Conference 2021: 190-193 - [c88]Dan C. Lo, Hossain Shahriar, Kai Qian, Michael E. Whitman, Fan Wu:
Colab Cloud Based Portable and Shareable Hands-on Labware for Machine Learning to Cybersecurity. IEEE BigData 2021: 3311-3315 - [c87]Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Farhat Lamia Barsha, Shahriar Sobhan, Md Abdullah Khan, Michael E. Whitman, Alfredo Cuzzocrea, Dan C. Lo, Akond Rahman, Fan Wu:
Malware Detection and Prevention using Artificial Intelligence Techniques. IEEE BigData 2021: 5369-5377 - 2020
- [c86]Nusrat Asrafi, Dan Chia-Tien Lo, Reza M. Parizi, Yong Shi, Yu-Wen Chen:
Comparing Performance of Malware Classification on Automated Stacking. ACM Southeast Regional Conference 2020: 307-308 - [c85]Karl Kevin Tiba Fossoh, Dan Lo:
Graphical Representation of Text Semantics. ACM Southeast Regional Conference 2020: 318-319 - [c84]Ava Podrazhansky, Rebekah Roepke, Jennifer Nguyen, Dan Lo:
Utilizing Computer Vision, Clustering and Neural Networks for Melanoma Categorization. ACM Southeast Regional Conference 2020: 322-323 - [c83]Songqiao Yu, Dan Lo:
Disinformation Detection using Passive Aggressive Algorithms. ACM Southeast Regional Conference 2020: 324-325 - [c82]Zhuolin Li, Hao Zhang, Hossain Shahriar, Dan Lo, Kai Qian, Michael E. Whitman, Fan Wu:
Denial of Service (DoS) Attack Detection: Performance Comparison of Supervised Machine Learning Algorithms. DASC/PiCom/CBDCom/CyberSciTech 2020: 469-474 - [c81]Hossain Shahriar, Michael E. Whitman, Dan Lo, Fan Wu, Cassandra Thomas:
Case Study-based Portable Hands-on Labware for Machine Learning in Cybersecurity. SIGCSE 2020: 1273 - [c80]Dan C. Lo, Kai Qian, Hossain Shahriar, Fan Wu, Johng-Chern Chern, Pascal Paschos, Chung Ng:
Information Assurance and Security Education on Undergraduate Computing Degree Programs. SIGCSE 2020: 1274 - [c79]Dan Chia-Tien Lo, Ruth Bearden, Deepa Muralidhar, Hossain Shahriar, Wei Chen, Pascal Paschos, Chung Ng:
A Hands-On Lab for Macro Malware Detection using Machine Learning on Virtual Machines. SIGCSE 2020: 1275 - [e2]J. Morris Chang, Dan Lo, Eric Gamess:
Proceedings of the 2020 ACM Southeast Conference, ACM SE '20, Tampa, FL, USA, April 2-4, 2020. ACM 2020, ISBN 978-1-4503-7105-6 [contents]
2010 – 2019
- 2019
- [c78]Dan Chia-Tien Lo, Charles Garnder, Pascal Paschos, Chung Ng:
Subject-Oriented Data Retrieval and Analysis on Sina Weibo. IEEE BigData 2019: 4431-4434 - [c77]Hossain Shahriar, Michael E. Whitman, Dan Chia-Tien Lo, Fan Wu, Cassandra Thomas, Alfredo Cuzzocrea:
Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction. IEEE BigData 2019: 5814-5818 - [c76]Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi:
Big Data Analysis on Social Networking. IEEE BigData 2019: 6220-6222 - [c75]Dan Lo, Karl Kevin Tiba, Sergiu Buciumas, Frank Ziller:
An Emperical Study on Application of Big Data Analytics to Automate Service Desk Business Process. COMPSAC (2) 2019: 670-675 - [c74]Hao Zhang, Zhuolin Li, Hossain Shahriar, Dan Lo, Fan Wu, Ying Qian:
Protecting Data in Android External Data Storage. COMPSAC (1) 2019: 924-925 - [e1]Dan Lo, Donghyun Kim, Eric Gamess:
Proceedings of the 2019 ACM Southeast Conference, ACM SE '19, Kennesaw, GA, USA, April 18-20, 2019. ACM 2019, ISBN 978-1-4503-6251-1 [contents] - 2018
- [c73]Xianyong Meng, Kai Qian, Dan Chia-Tien Lo, Hossain Shahriar, Md Arabin Islam Talukder, Prabir Bhattacharya:
Secure Mobile IPC Software Development with Vulnerability Detectors in Android Studio. COMPSAC (1) 2018: 829-830 - [c72]Kai Qian, Reza M. Parizi, Dan Chia-Tien Lo:
OWASP Risk Analysis Driven Security Requirements Specification for Secure Android Mobile Software Development. DSC 2018: 1-2 - [c71]Kai Qian, Dan Chia-Tien Lo, Reza M. Parizi, Fan Wu, Emmanuel Agu, Bei-Tseng Chu:
Authentic Learning Secure Software Development (SSD) in Computing Education. FIE 2018: 1-9 - [c70]Xianyong Meng, Kai Qian, Dan Chia-Tien Lo, Prabir Bhattacharya:
Detectors for Intent ICC Security Vulnerability with Android IDE. ICUFN 2018: 355-357 - [c69]Xianyong Meng, Kai Qian, Dan Chia-Tien Lo, Prabir Bhattacharya, Fan Wu:
Secure Mobile Software Development with Vulnerability Detectors in Static Code Analysis. ISNCC 2018: 1-4 - [c68]Hossain Shahriar, Kai Qian, Md Arabin Islam Talukder, Dan Chia-Tien Lo, Nidhibahen Patel:
Mobile Software Security with Dynamic Analysis. PRDC 2018: 223-224 - 2017
- [j18]Liang Hong, Wei Chen, Sachin Shetty, Dan Chia-Tien Lo, Reginald Cooper:
Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks. Int. J. Netw. Comput. 7(1): 50-68 (2017) - [c67]Joel Kamdem Teto, Ruth Bearden, Dan Chia-Tien Lo:
The Impact of Defensive Programming on I/O Cybersecurity Attacks. ACM Southeast Regional Conference 2017: 102-111 - [c66]Michael Kranzlein, Dan Chia-Tien Lo:
Training on the poles for review sentiment polarity classification. IEEE BigData 2017: 3934-3937 - [c65]Ruth Bearden, Dan Chia-Tien Lo:
Automated microsoft office macro malware detection using machine learning. IEEE BigData 2017: 4448-4452 - [c64]Jhu-Sin Luo, Dan Chia-Tien Lo:
Binary malware image classification using machine learning with local binary pattern. IEEE BigData 2017: 4664-4667 - [c63]Kai Qian, Dan Chia-Tien Lo, Hossain Shahriar, Lei Li, Fan Wu, Prabir Bhattacharya:
Learning database security with hands-on mobile labs. FIE 2017: 1-6 - 2016
- [c62]Carlos Cepeda, Dan Chia-Tien Lo, Pablo Ordóñez:
Feature Selection and Improving Classification Performance for Malware Detection. BDCloud-SocialCom-SustainCom 2016: 560-566 - [c61]Chia-Tien Dan Lo, Pablo Ordóñez, Carlos Cepeda Mora:
Towards an effective and efficient malware detection system. IEEE BigData 2016: 3648-3655 - [c60]Tianda Yang, Kai Qian, Dan Chia-Tien Lo, Ying Xie, Yong Shi, Lixin Tao:
Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining. BigDataSecurity/HPSC/IDS 2016: 129-133 - [c59]Yong Shi, Dan Chia-Tien Lo, Kai Qian:
Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. COMPSAC Workshops 2016: 247-252 - [c58]Dan Chia-Tien Lo, Kai Qian, Wei Chen:
Hardware Attacks and Security Education. COMPSAC Workshops 2016: 253-257 - [c57]Christopher Francis-Christie, Dan Lo:
A Combination of Active and Passive Video Steganalysis to Fight Sensitive Data Exfiltration through Online Video. COMPSAC Workshops 2016: 371-376 - [c56]Jing He, Dan Chia-Tien Lo, Ying Xie, Jonathan W. Lartigue:
Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course. FIE 2016: 1-9 - [c55]Wei Chen, Liang Hong, Sachin Shetty, Dan Chia-Tien Lo, Reginald Cooper:
Cross-Layered Security Approach with Compromised Nodes Detection in Cooperative Sensor Networks. IPDPS Workshops 2016: 499-508 - [c54]Kai Qian, Dan Lo, Wei Chen, Ying Qian:
Promote Self-efficacy in Learning of Mobile App and Security with real-world Relevant Laboratory (Abstract Only). SIGCSE 2016: 691 - [c53]Tianda Yang, Kai Qian, Lei Li, Dan Chia-Tien Lo, Lixin Tao:
Static Mining and Dynamic Taint for Mobile Security Threats Analysis. SmartCloud 2016: 234-240 - 2015
- [c52]Wanqing You, Kai Qian, Chia-Tien Dan Lo, Prabir Bhattacharya, Minzhe Guo, Ying Qian:
Web Service-Enabled Spam Filtering with Naïve Bayes Classification. BigDataService 2015: 99-104 - [c51]Amir Atabekov, Marcel Starosielsky, Dan Chia-Tien Lo, Jing (Selena) He:
Internet of Things-Based Temperature Tracking System. COMPSAC Workshops 2015: 493-498 - [c50]Chia-Tien Dan Lo, Kai Qian, Wei Chen, Tamara Rogers, Kuosheng Ma:
Learning Hands-on Information Assurance and Security on Mobile Devices. COMPSAC 2015: 874-879 - [c49]Dan Chia-Tien Lo, Kai Qian, Wei Chen:
Mobile security education on portable labs. FIE 2015: 1-4 - [c48]Teng Zhao, Dan Chia-Tien Lo, Kai Qian:
A Neural-Network Based DDoS Detection System Using Hadoop and HBase. HPCC/CSS/ICESS 2015: 1326-1331 - [c47]Tianda Yang, Yu Yang, Kai Qian, Dan Chia-Tien Lo, Ying Qian, Lixin Tao:
Automated Detection and Analysis for Android Ransomware. HPCC/CSS/ICESS 2015: 1338-1343 - [c46]Chia-Tien Dan Lo, Kai Qian, Wei Chen, Tamara Rogers:
A Low Cost, Portable Platform for Information Assurance and Security Education. ICALT 2015: 111-113 - 2014
- [c45]Chia-Tien Dan Lo, Kai Qian, Victor Clincy, Hossain Shahriar, Wei Chen:
Labware for networking protocols and wireless security using Android-enabled mobile devices. ACM Southeast Regional Conference 2014: 13:1-13:6 - [c44]Chia-Tien Dan Lo, Kai Qian, Kuosheng Ma:
A multidisciplinary project for undergraduate summer research in computer systems. ACM Southeast Regional Conference 2014: 32:1-32:2 - [c43]Dan Chia-Tien Lo, Kai Qian, Wei Chen, Hossain Shahriar, Victor Clincy:
Authentic learning in network and security with portable labs. FIE 2014: 1-5 - [c42]Minzhe Guo, Prabir Bhattacharya, Kai Qian, Chia-Tien Dan Lo, Xi He:
Enhancing the information assurance and security (IAS) in CS education with mobile-device based hands-on labs. ITiCSE 2014: 343 - 2013
- [j17]Yi-Gang Tai, Chia-Tien Dan Lo, Kleanthis Psarris:
Scalable matrix decompositions with multiple cores on FPGAs. Microprocess. Microsystems 37(8-B): 887-898 (2013) - [j16]Luna Mingyi Zhang, Keqin Li, Dan Chia-Tien Lo, Yanqing Zhang:
Energy-efficient task scheduling algorithms on heterogeneous computers with continuous and discrete speeds. Sustain. Comput. Informatics Syst. 3(2): 109-118 (2013) - [c41]Minzhe Guo, Kai Qian, Ming Yang, Chia-Tien Dan Lo, Kuosheng Ma, Liang Hong, Li Yang:
Android-Based Mobile Sensory System Labware for Embedded System Education. ICALT 2013: 118-119 - [c40]Chia-Tien Dan Lo, Orlando Karam:
Enhance Capstone Projects with a New Online Collaboration System. ICALT 2013: 217-218 - 2012
- [j15]Yi-Gang Tai, Chia-Tien Dan Lo, Kleanthis Psarris:
Accelerating Matrix Operations with Improved Deeply Pipelined Vector Reduction. IEEE Trans. Parallel Distributed Syst. 23(2): 202-210 (2012) - [c39]Dan Chia-Tien Lo, Kai Qian, Gang Quan, Liang Hong:
Work in progress: Enhance CS/CE student learning in computer architecture and organization through a remote instrument control lab with mixed reality. FIE 2012: 1-2 - [c38]Kai Qian, Chia-Tien Dan Lo, Yi Pan, Yanqing Zhang, Xiaolin Hu, Liang Hong:
Real-World Relevant Learning with Android Smartphones. ICALT 2012: 476-477 - [c37]Kai Qian, Chia-Tien Dan Lo, Yi Pan, Yanqing Zhang, Xiaolin Hu, Liang Hong:
The cross-curriculum mobile computing labware for CS (abstract only). SIGCSE 2012: 664 - 2011
- [c36]Chia-Tien Dan Lo, Kai Qian, Yan-Qing Zhang:
Teaching operating systems with simple low-cost portable energy efficient devices. ACM Southeast Regional Conference 2011: 25-30 - [c35]Chia-Tien Dan Lo:
Performance-aware multicore programming. ACM Southeast Regional Conference 2011: 126-131 - [c34]Dan Lo, Larry Wang:
An online tutoring system with instant responses. ACM Southeast Regional Conference 2011: 316-317 - [c33]Dan Lo, Andy Wang, Sarah M. North, Max M. North:
A new curriculum for hardware-based network intrusion detection. ACM Southeast Regional Conference 2011: 318-319 - [c32]Yi-Gang Tai, Kleanthis Psarris, Chia-Tien Dan Lo:
Synthesizing Tiled Matrix Decomposition on FPGAs. FPL 2011: 464-469 - [c31]Chia-Tien Dan Lo, Kai Qian, Yanqing Zhang:
A Simple Low-Cost Portable Energy Efficient Device to Supplement Operating System Curriculum. ICALT 2011: 76-77 - 2010
- [c30]Kai Qian, Chia-Tien Dan Lo:
A novel embedded system curriculum with portable hands-on labs in a box. ACM Southeast Regional Conference 2010: 53 - [c29]Kai Qian, Chia-Tien Dan Lo:
Leveraging CS capstone project and green smart energy computing with WSN in a box. ACM Southeast Regional Conference 2010: 84 - [c28]Chia-Tien Dan Lo, Kai Qian:
Green Computing Methodology for Next Generation Computing Scientists. COMPSAC 2010: 250-251 - [c27]Yi-Gang Tai, Chia-Tien Dan Lo, Kleanthis Psarris:
Multiple data set reduction on FPGAs. FPT 2010: 45-52 - [c26]Chia-Tien Dan Lo, Kai Qian, Li Yang:
Innovative CS capstone projects on green energy applications with WSN in a box. ITiCSE 2010: 307 - [c25]Kai Qian, Chia-Tien Dan Lo, Li Yang, Jigang Liu:
Inquiry-based active learning in introductory programming courses. ITiCSE 2010: 312 - [c24]Kai Qian, Chia-Tien Dan Lo, Xiaolin Hu:
Portable labs in a box for embedded system education. ITiCSE 2010: 318
2000 – 2009
- 2009
- [j14]Wen-Jyi Hwang, Huang-Chun Roan, Ying-Nan Shih, Chia-Tien Dan Lo, Chien-Min Ou:
FPGA-based ROM-free network intrusion detection using shift-OR circuit. J. Embed. Comput. 3(2): 99-107 (2009) - [j13]Chia-Tien Dan Lo, Yi-Gang Tai:
Space Optimization on Counters for FPGA-Based Perl Compatible Regular Expressions. ACM Trans. Reconfigurable Technol. Syst. 2(4): 23:1-23:18 (2009) - [c23]Yi-Gang Tai, Chia-Tien Dan Lo, Kleanthis Psarris:
An Improved Reduction Algorithm With Deeply Pipelined Operators. SMC 2009: 3060-3065 - 2008
- [j12]Huang-Chun Roan, Wen-Jyi Hwang, Wei-Jhih Huang, Chia-Tien Dan Lo:
Network Intrusion Detection Based on Shift-OR Circuit. J. Inf. Sci. Eng. 24(4): 1229-1239 (2008) - [c22]Chia-Tien Dan Lo, Yi-Gang Tai:
Highly Space Efficient Counters for Perl Compatible Regular Expressions in FPGAs. ARC 2008: 51-62 - [c21]Yi-Gang Tai, Chia-Tien Dan Lo, Kleanthis Psarris:
Accelerating matrix decomposition with replications. IPDPS 2008: 1-8 - [c20]Chia-Tien Dan Lo, Yi-Gang Tai, Kleanthis Psarris:
Hardware implementation for network intrusion detection rules with regular expression support. SAC 2008: 1535-1539 - 2007
- [j11]J. Morris Chang, C. Dan Lo:
FPGA-based reconfigurable computing II. Microprocess. Microsystems 31(2) (2007) - [j10]Chia-Tien Dan Lo, J. Morris Chang:
FPGA-based reconfigurable computing III. Microprocess. Microsystems 31(8): 475-476 (2007) - [c19]Mayumi Kato, Chia-Tien Dan Lo:
Compression for Low Power Consumption in Battery-powered Handsets. DCC 2007: 386 - [c18]Yi-Gang Tai, Chia-Tien Dan Lo, Kleanthis Psarris:
Applying Out-of-Core QR Decomposition Algorithms on FPGA-Based Systems. FPL 2007: 86-91 - 2006
- [j9]J. Morris Chang, C. Dan Lo:
FPGA-based reconfigurable computing. Microprocess. Microsystems 30(6): 281-282 (2006) - [c17]Huang-Chun Roan, Chien-Min Ou, Wen-Jyi Hwang, Chia-Tien Dan Lo:
Efficient Logic Circuit for Network Intrusion Detection. EUC 2006: 776-784 - [c16]Huang-Chun Roan, Wen-Jyi Hwang, Chia-Tien Dan Lo:
Shift-Or Circuit for Efficient Network Intrusion Detection Pattern Matching. FPL 2006: 1-6 - [c15]Chia-Tien Dan Lo, Yi-Gang Tai, Kleanthis Psarris, Wen-Jyi Hwang:
Super fast hardware string matching. FPT 2006: 385-388 - 2005
- [c14]Mayumi Kato, Chia-Tien Dan Lo:
Hardware Solution to Java Compressed Heap. FCCM 2005: 307-308 - [c13]Mayumi Kato, Chia-Tien Dan Lo:
Impact of Java Compressed Heap on Mobile/Wireless Communication. ITCC (2) 2005: 2-7 - 2004
- [j8]Chia-Tien Dan Lo, Witawas Srisa-an, J. Morris Chang:
The design and analysis of a quantitative simulator for dynamic memory management. J. Syst. Softw. 72(3): 443-453 (2004) - [c12]Mayumi Kato, Chia-Tien Dan Lo:
Growing adaptation of computer science in Bioinfomatics. ISICT 2004: 226-231 - [c11]Mayumi Kato, Chia-Tien Dan Lo:
A heap de/compression module for wireless Java. PPPJ 2004: 91-99 - 2003
- [j7]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
Active Memory Processor: A Hardware Garbage Collector for Real-Time Java Embedded Devices. IEEE Trans. Mob. Comput. 2(2): 89-101 (2003) - [c10]Chia-Tien Dan Lo:
The Design of a Self-Maintained Memory Module for Real-Time Systems. IWSOC 2003: 337-342 - 2002
- [j6]J. Morris Chang, Witawas Srisa-an, Chia-Tien Dan Lo, Edward F. Gehringer:
DMMX: Dynamic memory management extensions. J. Syst. Softw. 63(3): 187-199 (2002) - [j5]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
Object resizing and reclamation through the use of hardware bit-maps. Microprocess. Microsystems 25(9-10): 459-467 (2002) - [j4]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
A performance perspective on the Active Memory System. Microprocess. Microsystems 26(9-10): 421-432 (2002) - [c9]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
Performance Enhancements to the Active Memory System. ICCD 2002: 249- - [c8]Chia-Tien Dan Lo, Witawas Srisa-an, J. Morris Chang:
A Multithreaded Concurrent Garbage Collector Parallelizing the New Instruction in Java. IPDPS 2002 - [c7]Chia-Tien Dan Lo, J. Morris Chang, Ophir Frieder, David A. Grossman:
The Object Behavior of Java Object-Oriented Database Management Systems. ITCC 2002: 247-253 - 2001
- [j3]Chia-Tien Dan Lo, Witawas Srisa-an, J. Morris Chang:
A study of page replacement performance in garbage collection heap. J. Syst. Softw. 58(3): 235-245 (2001) - [c6]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
A Performance Analysis of the Active Memory System. ICCD 2001: 493-496 - 2000
- [j2]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
A hardware implementation of realloc function. Integr. 28(2): 173-184 (2000) - [c5]Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chang:
Scalable Hardware-Algorithm for Mark-Sweep Garbage Collection. EUROMICRO 2000: 1274-1281 - [c4]J. Morris Chang, Witawas Srisa-an, Chia-Tien Dan Lo:
Architectural Support for Dynamic Memory Management. ICCD 2000: 99-104 - [c3]Witawas Srisa-an, J. Morris Chang, Chia-Tien Dan Lo:
Do generational schemes improve the garbage collection efficiency? ISPASS 2000: 58-63 - [c2]Chia-Tien Dan Lo, Witawas Srisa-an, J. Morris Chang:
A quantitative simulator for dynamic memory managers. ISPASS 2000: 64-69
Coauthor Index
[c109] [c108] [c105] [c104] [c100] [c99] [c98] [c97] [c95] [c94] [c93] [c92] [c91] [i1] [c88] [c82] [c80] [c73] [c72] [c71] [c70] [c69] [c68] [c63] [c60] [c59] [c58] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c36] [c31] [c30] [c29] [c28] [c26] [c25] [c24]
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last updated on 2025-08-07 00:10 CEST by the dblp team
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