Procedure-Level Verification of Real-time Concurrent Systems. - Farn Wang; Chia-Tien Dan Lo (Real Time Syst., 1999)

Scalable Hardware-Algorithm for Mark-Sweep Garbage Collection. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (EUROMICRO, 2000)

Architectural Support for Dynamic Memory Management. - J. Morris Chang; Witawas Srisa-an; Chia-Tien Dan Lo (ICCD, 2000)

A quantitative simulator for dynamic memory managers. - Chia-Tien Dan Lo; Witawas Srisa-an; J. Morris Chang (ISPASS, 2000)

Do generational schemes improve the garbage collection efficiency? - Witawas Srisa-an; J. Morris Chang; Chia-Tien Dan Lo (ISPASS, 2000)

A hardware implementation of realloc function. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (Integr., 2000)

A Performance Analysis of the Active Memory System. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (ICCD, 2001)

A study of page replacement performance in garbage collection heap. - Chia-Tien Dan Lo; Witawas Srisa-an; J. Morris Chang (J. Syst. Softw., 2001)

Performance Enhancements to the Active Memory System. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (ICCD, 2002)

A Multithreaded Concurrent Garbage Collector Parallelizing the New Instruction in Java. - Chia-Tien Dan Lo; Witawas Srisa-an; J. Morris Chang (IPDPS, 2002)

The Object Behavior of Java Object-Oriented Database Management Systems. - Chia-Tien Dan Lo; J. Morris Chang; Ophir Frieder; David A. Grossman (ITCC, 2002)

DMMX: Dynamic memory management extensions. - J. Morris Chang; Witawas Srisa-an; Chia-Tien Dan Lo; Edward F. Gehringer (J. Syst. Softw., 2002)

A performance perspective on the Active Memory System. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (Microprocess. Microsystems, 2002)

Object resizing and reclamation through the use of hardware bit-maps. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (Microprocess. Microsystems, 2002)

The Design of a Self-Maintained Memory Module for Real-Time Systems. - Chia-Tien Dan Lo (IWSOC, 2003)

Active Memory Processor: A Hardware Garbage Collector for Real-Time Java Embedded Devices. - Witawas Srisa-an; Chia-Tien Dan Lo; J. Morris Chang (IEEE Trans. Mob. Comput., 2003)

Growing adaptation of computer science in Bioinfomatics. - Mayumi Kato; Chia-Tien Dan Lo (ISICT, 2004)

A heap de/compression module for wireless Java. - Mayumi Kato; Chia-Tien Dan Lo (PPPJ, 2004)

The design and analysis of a quantitative simulator for dynamic memory management - Chia-Tien Dan Lo; Witawas Srisa-an; J. Morris Chang (J. Syst. Softw., 2004)

Hardware Solution to Java Compressed Heap. - Mayumi Kato; Chia-Tien Dan Lo (FCCM, 2005)

Impact of Java Compressed Heap on Mobile/Wireless Communication. - Mayumi Kato; Chia-Tien Dan Lo (ITCC (2), 2005)

Efficient Logic Circuit for Network Intrusion Detection. - Huang-Chun Roan; Chien-Min Ou; Wen-Jyi Hwang; Chia-Tien Dan Lo (EUC, 2006)

Shift-Or Circuit for Efficient Network Intrusion Detection Pattern Matching. - Huang-Chun Roan; Wen-Jyi Hwang; Chia-Tien Dan Lo (FPL, 2006)

Super fast hardware string matching. - Chia-Tien Dan Lo; Yi-Gang Tai; Kleanthis Psarris; Wen-Jyi Hwang (FPT, 2006)

FPGA-based reconfigurable computing. - J. Morris Chang; C. Dan Lo (Microprocess. Microsystems, 2006)

Compression for Low Power Consumption in Battery-powered Handsets. - Mayumi Kato; Chia-Tien Dan Lo (DCC, 2007)

Applying Out-of-Core QR Decomposition Algorithms on FPGA-Based Systems. - Yi-Gang Tai; Chia-Tien Dan Lo; Kleanthis Psarris (FPL, 2007)

FPGA-based reconfigurable computing II. - J. Morris Chang; C. Dan Lo (Microprocess. Microsystems, 2007)

FPGA-based reconfigurable computing III. - Chia-Tien Dan Lo; J. Morris Chang (Microprocess. Microsystems, 2007)

Highly Space Efficient Counters for Perl Compatible Regular Expressions in FPGAs. - Chia-Tien Dan Lo; Yi-Gang Tai (ARC, 2008)

Accelerating matrix decomposition with replications. - Yi-Gang Tai; Chia-Tien Dan Lo; Kleanthis Psarris (IPDPS, 2008)

Hardware implementation for network intrusion detection rules with regular expression support. - Chia-Tien Dan Lo; Yi-Gang Tai; Kleanthis Psarris (SAC, 2008)

Network Intrusion Detection Based on Shift-OR Circuit. - Huang-Chun Roan; Wen-Jyi Hwang; Wei-Jhih Huang; Chia-Tien Dan Lo (J. Inf. Sci. Eng., 2008)

An Improved Reduction Algorithm With Deeply Pipelined Operators. - Yi-Gang Tai; Chia-Tien Dan Lo; Kleanthis Psarris (SMC, 2009)

FPGA-based ROM-free network intrusion detection using shift-OR circuit. - Wen-Jyi Hwang; Huang-Chun Roan; Ying-Nan Shih; Chia-Tien Dan Lo; Chien-Min Ou (J. Embed. Comput., 2009)

Space Optimization on Counters for FPGA-Based Perl Compatible Regular Expressions. - Chia-Tien Dan Lo; Yi-Gang Tai (ACM Trans. Reconfigurable Technol. Syst., 2009)

A novel embedded system curriculum with portable hands-on labs in a box. - Kai Qian; Chia-Tien Dan Lo (ACM Southeast Regional Conference, 2010)

Leveraging CS capstone project and green smart energy computing with WSN in a box. - Kai Qian; Chia-Tien Dan Lo (ACM Southeast Regional Conference, 2010)

Green Computing Methodology for Next Generation Computing Scientists. - Chia-Tien Dan Lo; Kai Qian (COMPSAC, 2010)

Multiple data set reduction on FPGAs. - Yi-Gang Tai; Chia-Tien Dan Lo; Kleanthis Psarris (FPT, 2010)

Innovative CS capstone projects on green energy applications with WSN in a box. - Chia-Tien Dan Lo; Kai Qian; Li Yang 001 (ITiCSE, 2010)

Portable labs in a box for embedded system education. - Kai Qian; Chia-Tien Dan Lo; Xiaolin Hu 002 (ITiCSE, 2010)

Inquiry-based active learning in introductory programming courses. - Kai Qian; Chia-Tien Dan Lo; Li Yang 001; Jigang Liu (ITiCSE, 2010)

Performance-aware multicore programming. - Chia-Tien Dan Lo (ACM Southeast Regional Conference, 2011)

Teaching operating systems with simple low-cost portable energy efficient devices. - Chia-Tien Dan Lo; Kai Qian; Yan-Qing Zhang 001 (ACM Southeast Regional Conference, 2011)

An online tutoring system with instant responses. - Dan Lo 001; Larry Wang (ACM Southeast Regional Conference, 2011)

A new curriculum for hardware-based network intrusion detection. - Dan Lo 001; Andy Wang; Sarah M. North; Max M. North (ACM Southeast Regional Conference, 2011)

Synthesizing Tiled Matrix Decomposition on FPGAs. - Yi-Gang Tai; Kleanthis Psarris; Chia-Tien Dan Lo (FPL, 2011)

A Simple Low-Cost Portable Energy Efficient Device to Supplement Operating System Curriculum. - Chia-Tien Dan Lo; Kai Qian; Yanqing Zhang 001 (ICALT, 2011)

Work in progress: Enhance CS/CE student learning in computer architecture and organization through a remote instrument control lab with mixed reality. - Dan Chia-Tien Lo; Kai Qian; Gang Quan; Liang Hong (FIE, 2012)

Real-World Relevant Learning with Android Smartphones. - Kai Qian; Chia-Tien Dan Lo; Yi Pan 001; Yanqing Zhang 001; Xiaolin Hu 002; Liang Hong (ICALT, 2012)

The cross-curriculum mobile computing labware for CS (abstract only). - Kai Qian; Chia-Tien Dan Lo; Yi Pan 001; Yanqing Zhang 001; Xiaolin Hu 002; Liang Hong (SIGCSE, 2012)

Accelerating Matrix Operations with Improved Deeply Pipelined Vector Reduction. - Yi-Gang Tai; Chia-Tien Dan Lo; Kleanthis Psarris (IEEE Trans. Parallel Distributed Syst., 2012)

Android-Based Mobile Sensory System Labware for Embedded System Education. - Minzhe Guo; Kai Qian; Ming Yang 019; Chia-Tien Dan Lo; Kuosheng Ma; Liang Hong; Li Yang 001 (ICALT, 2013)

Enhance Capstone Projects with a New Online Collaboration System. - Chia-Tien Dan Lo; Orlando Karam (ICALT, 2013)

Scalable matrix decompositions with multiple cores on FPGAs. - Yi-Gang Tai; Chia-Tien Dan Lo; Kleanthis Psarris (Microprocess. Microsystems, 2013)

Energy-efficient task scheduling algorithms on heterogeneous computers with continuous and discrete speeds. - Luna Mingyi Zhang; Keqin Li 001; Dan Chia-Tien Lo; Yanqing Zhang 001 (Sustain. Comput. Informatics Syst., 2013)

Labware for networking protocols and wireless security using Android-enabled mobile devices. - Chia-Tien Dan Lo; Kai Qian; Victor Clincy; Hossain Shahriar; Wei Chen 003 (ACM Southeast Regional Conference, 2014)

A multidisciplinary project for undergraduate summer research in computer systems. - Chia-Tien Dan Lo; Kai Qian; Kuosheng Ma (ACM Southeast Regional Conference, 2014)

Authentic learning in network and security with portable labs. - Dan Chia-Tien Lo; Kai Qian; Wei Chen 003; Hossain Shahriar; Victor Clincy (FIE, 2014)

Enhancing the information assurance and security (IAS) in CS education with mobile-device based hands-on labs. - Minzhe Guo; Prabir Bhattacharya; Kai Qian; Chia-Tien Dan Lo; Xi He 003 (ITiCSE, 2014)

Web Service-Enabled Spam Filtering with Naïve Bayes Classification. - Wanqing You; Kai Qian; Chia-Tien Dan Lo; Prabir Bhattacharya; Minzhe Guo; Ying Qian (BigDataService, 2015)

Internet of Things-Based Temperature Tracking System. - Amir Atabekov; Marcel Starosielsky; Dan Chia-Tien Lo; Jing (Selena) He (COMPSAC Workshops, 2015)

Learning Hands-on Information Assurance and Security on Mobile Devices. - Chia-Tien Dan Lo; Kai Qian; Wei Chen 003; Tamara Rogers; Kuosheng Ma (COMPSAC, 2015)

Mobile security education on portable labs. - Dan Chia-Tien Lo; Kai Qian; Wei Chen 003 (FIE, 2015)

Automated Detection and Analysis for Android Ransomware. - Tianda Yang; Yu Yang; Kai Qian; Dan Chia-Tien Lo; Ying Qian; Lixin Tao (HPCC/CSS/ICESS, 2015)

A Neural-Network Based DDoS Detection System Using Hadoop and HBase. - Teng Zhao; Dan Chia-Tien Lo; Kai Qian (HPCC/CSS/ICESS, 2015)

A Low Cost, Portable Platform for Information Assurance and Security Education. - Chia-Tien Dan Lo; Kai Qian; Wei Chen 003; Tamara Rogers (ICALT, 2015)

Feature Selection and Improving Classification Performance for Malware Detection. - Carlos Cepeda; Dan Chia-Tien Lo; Pablo Ordóñez (BDCloud-SocialCom-SustainCom, 2016)

Towards an effective and efficient malware detection system. - Chia-Tien Dan Lo; Pablo Ordóñez; Carlos Cepeda Mora (IEEE BigData, 2016)

Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining. - Tianda Yang; Kai Qian; Dan Chia-Tien Lo; Ying Xie 001; Yong Shi 002; Lixin Tao (BigDataSecurity/HPSC/IDS, 2016)

A Combination of Active and Passive Video Steganalysis to Fight Sensitive Data Exfiltration through Online Video. - Christopher Francis-Christie; Dan Lo 001 (COMPSAC Workshops, 2016)

Hardware Attacks and Security Education. - Dan Chia-Tien Lo; Kai Qian; Wei Chen 003 (COMPSAC Workshops, 2016)

Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. - Yong Shi 002; Dan Chia-Tien Lo; Kai Qian (COMPSAC Workshops, 2016)

Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course. - Jing He 001; Dan Chia-Tien Lo; Ying Xie 001; Jonathan W. Lartigue (FIE, 2016)

Cross-Layered Security Approach with Compromised Nodes Detection in Cooperative Sensor Networks. - Wei Chen 003; Liang Hong; Sachin Shetty; Dan Chia-Tien Lo; Reginald Cooper (IPDPS Workshops, 2016)

Promote Self-efficacy in Learning of Mobile App and Security with real-world Relevant Laboratory (Abstract Only). - Kai Qian; Dan Lo 001; Wei Chen 003; Ying Qian (SIGCSE, 2016)

Static Mining and Dynamic Taint for Mobile Security Threats Analysis. - Tianda Yang; Kai Qian; Lei Li 021; Dan Chia-Tien Lo; Lixin Tao (SmartCloud, 2016)

The Impact of Defensive Programming on I/O Cybersecurity Attacks. - Joel Kamdem Teto; Ruth Bearden; Dan Chia-Tien Lo (ACM Southeast Regional Conference, 2017)

Automated microsoft office macro malware detection using machine learning. - Ruth Bearden; Dan Chia-Tien Lo (IEEE BigData, 2017)

Training on the poles for review sentiment polarity classification. - Michael Kranzlein; Dan Chia-Tien Lo (IEEE BigData, 2017)

Binary malware image classification using machine learning with local binary pattern. - Jhu-Sin Luo; Dan Chia-Tien Lo (IEEE BigData, 2017)

Learning database security with hands-on mobile labs. - Kai Qian; Dan Chia-Tien Lo; Hossain Shahriar; Lei Li 021; Fan Wu 013; Prabir Bhattacharya (FIE, 2017)

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks. - Liang Hong; Wei Chen 003; Sachin Shetty; Dan Chia-Tien Lo; Reginald Cooper (Int. J. Netw. Comput., 2017)

Secure Mobile IPC Software Development with Vulnerability Detectors in Android Studio. - Xianyong Meng; Kai Qian; Dan Chia-Tien Lo; Hossain Shahriar; Md Arabin Islam Talukder; Prabir Bhattacharya (COMPSAC (1), 2018)

OWASP Risk Analysis Driven Security Requirements Specification for Secure Android Mobile Software Development. - Kai Qian; Reza M. Parizi; Dan Chia-Tien Lo (DSC, 2018)

Authentic Learning Secure Software Development (SSD) in Computing Education. - Kai Qian; Dan Chia-Tien Lo; Reza M. Parizi; Fan Wu 013; Emmanuel Agu; Bei-Tseng Chu (FIE, 2018)

Detectors for Intent ICC Security Vulnerability with Android IDE. - Xianyong Meng; Kai Qian; Dan Chia-Tien Lo; Prabir Bhattacharya (ICUFN, 2018)

Secure Mobile Software Development with Vulnerability Detectors in Static Code Analysis. - Xianyong Meng; Kai Qian; Dan Chia-Tien Lo; Prabir Bhattacharya; Fan Wu 013 (ISNCC, 2018)

Mobile Software Security with Dynamic Analysis. - Hossain Shahriar; Kai Qian; Md Arabin Islam Talukder; Dan Chia-Tien Lo; Nidhibahen Patel (PRDC, 2018)

Subject-Oriented Data Retrieval and Analysis on Sina Weibo. - Dan Chia-Tien Lo; Charles Garnder; Pascal Paschos; Chung Ng (IEEE BigData, 2019)

Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction. - Hossain Shahriar; Michael E. Whitman; Dan Chia-Tien Lo; Fan Wu 013; Cassandra Thomas; Alfredo Cuzzocrea (IEEE BigData, 2019)

Big Data Analysis on Social Networking. - Zhengwu Sun; Dan Chia-Tien Lo; Yong Shi 002 (IEEE BigData, 2019)

An Emperical Study on Application of Big Data Analytics to Automate Service Desk Business Process. - Dan Lo 001; Karl Kevin Tiba; Sergiu Buciumas; Frank Ziller (COMPSAC (2), 2019)

Protecting Data in Android External Data Storage. - Hao Zhang 093; Zhuolin Li; Hossain Shahriar; Dan Lo 001; Fan Wu 013; Ying Qian (COMPSAC (1), 2019)

Comparing Performance of Malware Classification on Automated Stacking. - Nusrat Asrafi; Dan Chia-Tien Lo; Reza M. Parizi; Yong Shi 002; Yu-Wen Chen (ACM Southeast Regional Conference, 2020)

Graphical Representation of Text Semantics. - Karl Kevin Tiba Fossoh; Dan Lo 001 (ACM Southeast Regional Conference, 2020)

Utilizing Computer Vision, Clustering and Neural Networks for Melanoma Categorization. - Ava Podrazhansky; Rebekah Roepke; Jennifer Nguyen; Dan Lo 001 (ACM Southeast Regional Conference, 2020)

Disinformation Detection using Passive Aggressive Algorithms. - Songqiao Yu; Dan Lo 001 (ACM Southeast Regional Conference, 2020)

Denial of Service (DoS) Attack Detection: Performance Comparison of Supervised Machine Learning Algorithms. - Zhuolin Li; Hao Zhang 093; Hossain Shahriar; Dan Lo 001; Kai Qian; Michael E. Whitman; Fan Wu 013 (DASC/PiCom/CBDCom/CyberSciTech, 2020)

A Hands-On Lab for Macro Malware Detection using Machine Learning on Virtual Machines. - Dan Chia-Tien Lo; Ruth Bearden; Deepa Muralidhar; Hossain Shahriar; Wei Chen 003; Pascal Paschos; Chung Ng (SIGCSE, 2020)

Information Assurance and Security Education on Undergraduate Computing Degree Programs. - Dan C. Lo; Kai Qian; Hossain Shahriar; Fan Wu 013; Johng-Chern Chern; Pascal Paschos; Chung Ng (SIGCSE, 2020)

Case Study-based Portable Hands-on Labware for Machine Learning in Cybersecurity. - Hossain Shahriar; Michael E. Whitman; Dan Lo 001; Fan Wu 013; Cassandra Thomas (SIGCSE, 2020)

A study on students' views toward K-12 computer science teaching career. - Dan Chia-Tien Lo; Brian Robert Lawler (ACM Southeast Conference, 2021)

Malware Detection and Prevention using Artificial Intelligence Techniques. - 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 013 (IEEE BigData, 2021)

Colab Cloud Based Portable and Shareable Hands-on Labware for Machine Learning to Cybersecurity. - Dan C. Lo; Hossain Shahriar; Kai Qian; Michael E. Whitman; Fan Wu 013 (IEEE BigData, 2021)

Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) Detection. - Md. Jobair Hossain Faruk; Hossain Shahriar; Kai Qian; Dan Lo 001; Michael E. Whitman; Alfredo Cuzzocrea; Fan Wu 013; Victor Clincy (IEEE Big Data, 2022)

Improving the Machine Learning Prediction Accuracy with Clustering Discretization. - Chunlan Gao; Yanqing Zhang 001; Dan Lo 001; Yong Shi 002; Jian Huang (CCWC, 2022)

Ransomware Classification and Detection With Machine Learning Algorithms. - Mohammad Masum; Md. Jobair Hossain Faruk; Hossain Shahriar; Kai Qian; Dan Lo 001; Muhaiminul Islam Adnan (CCWC, 2022)

Authentic Learning of Machine Learning to Ransomware Detection and Prevention. - Md. Jobair Hossain Faruk; Mohammad Masum; Hossain Shahriar; Kai Qian; Dan Lo 001 (COMPSAC, 2022)

Improving the Prediction Accuracy with Feature Selection for Ransomware Detection. - Chulan Gao; Hossain Shahriar; Dan Lo 001; Yong Shi 002; Kai Qian (COMPSAC, 2022)

Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. - Dan Chia-Tien Lo; Kai Qian; Yong Shi 002; Hossain Shahriar; Chung Ng (COMPSAC, 2022)

Scalable Machine Learning Using PySpark. - Mohammad Masum; Hossain Shahriar; Nazmus Sakib; Maria Valero; Kai Qian; Dan Lo 001; Fan Wu 013; Mohammed Karim; Parth Bhavsar; Jidong Yang (COMPSAC, 2022)

Enhance Capacity to Foster Secondary Computer Science Teachers in Multiple Pathways. - Dan Chia-Tien Lo; Brian Robert Lawler (SIGCSE (2), 2022)

Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware. - Dan Chia-Tien Lo; Hossain Shahriar; Kai Qian; Michael E. Whitman; Fan Wu 013; Cassandra Thomas (SIGCSE (2), 2022)

Quantum Machine Learning for Security Data Analysis. - Dhanunjai Bandi; Yong Shi 002; Hossain Shahriar; Dan C. Lo; Kun Suo; Hongmei Chi; Kai Qian (AIIoT, 2023)

Secure Software Development in Google Colab. - Tarun Potluri; Yong Shi 002; Hossain Shahriar; Dan Chia-Tien Lo; Reza M. Parizi; Hongmei Chi; Kai Qian (AIIoT, 2023)

Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. - Dan Chia-Tien Lo; Bobin Deng; Yong Shi 002 (IEEE Big Data, 2023)

Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. - Joshua Priest; Cameron Cooper; Savvy Lovell; Yong Shi 002; Dan Lo 001 (IEEE Big Data, 2023)

Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy. - Mst. Shapna Akter; Hossain Shahriar; Dan Lo 001; Nazmus Sakib; Kai Qian; Michael E. Whitman; Fan Wu 013 (COMPSAC, 2023)

AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. - Yong Shi 002; Nazmus Sakib; Hossain Shahriar; Dan Lo 001; Hongmei Chi; Kai Qian (COMPSAC, 2023)

Cyber Security in Blockchain. - Eric Cooper; Eric Weese; Alex Fortson; Dan Lo 001; Yong Shi 002 (DSC, 2023)

Detection of Ransomware Attack Using Deep Learning. - Muna Jemal; Dan Chia-Tien Lo (DSC, 2023)

Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy. - Bobin Deng; Xinyue Zhang 001; Dan Chia-Tien Lo (ICNCC, 2023)

Authentic Learning on Machine Learning for Cybersecurity. - Dan C. Lo; Hossain Shahriar; Kai Qian; Michael E. Whitman; Fan Wu 013; Cassandra Thomas (SIGCSE (2), 2023)

Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. - Yong Shi 002; Hossain Shahriar; Dan C. Lo; Kai Qian; Hongmei Chi (SIGCSE (2), 2023)

An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. - Nobel Dhar; Bobin Deng; Dan C. Lo; Xiaofeng Wu 002; Liang Zhao 024; Kun Suo (ACM Southeast Regional Conference, 2024)

An Open-Source Chatbot by Using ParlAI. - Kiran Mai Narnavaram; Dan C. Lo (ACM Southeast Regional Conference, 2024)

Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge Graph. - Suman Bharti; Dan Chia-Tien Lo; Yong Shi 002 (IEEE Big Data, 2024)

Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. - Dan Chia-Tien Lo; Yong Shi 002; Hossain Shahriar; Bobin Deng; Xinyue Zhang 001; Mei-Lan Chen (IEEE Big Data, 2024)

Towards More Robust and Scalable Deep Learning Systems for Medical Image Analysis. - Akshaj Yenumala; Xinyue Zhang 001; Dan Lo 001 (IEEE Big Data, 2024)

Fixed-point Encoding and Architecture Exploration for Residue Number Systems. - Bobin Deng; Bhargava Nadendla; Kun Suo; Chloe Yixin Xie; Dan Chia-Tien Lo (ACM Trans. Archit. Code Optim., 2024)

A Hybrid Approach of Data Mining and Deep Learning for Network Intrusion Detection. - Md Shamsul Alam; Yash Rakeshbhai Patel; Yaswanthsrinivas Gurram; Chen Zhao; Dan Lo 001 (ACM Southeast Regional Conference, 2025)

Staged Multi-Omics Data Classification for Breast Cancer Diagnosis. - Shrikar Kolla; Dan Lo 001; Chen Zhao (ACM Southeast Regional Conference, 2025)

A Comparison of Classical and Quantum Neural Network Algorithms for Malware Detection. - Arshiya Vyas; Dan Lo 001; Xinyue Zhang 001 (ACM Southeast Regional Conference, 2025)

Quantum Knowledge Graph: Leveraging QNLP for Semantic Relationship Modeling. - Suman Bharti; Dan Chia-Tien Lo; Hossain Shahriar (COMPSAC, 2025)

Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. - Yong Shi 002; Dan C. Lo; Hongmei Chi; Andrew Polisetty; Kun Suo; Tu Nguyen 001 (SIGCSE (2), 2025)

Exoplanet Detection Using Machine Learning Models Trained on Synthetic Light Curves. - Ethan Lo; Dan C. Lo (CoRR, 2025)