A Single-Pass Online Data Mining Algorithm Combined with Control Theory with Limited Memory in Dynamic Data Streams. - Yanxiang He; Naixue Xiong; Xavier Défago; Yan Yang 001; Jing He 001 (GCC, 2005)

On designing QoS for congestion control service using neural network predictive techniques. - Naixue Xiong; Yan Yang 001; Jing He 001; Yanxiang He (GrC, 2006)

Decentralized Flocking Algorithms for a Swarm of Mobile Robots: Problem, Current Research and Future Directions. - Naixue Xiong; Jing He 001; Jong Hyuk Park 001; Tai-Hoon Kim; Yanxiang He (CCNC, 2009)

A Survey on Fault-Tolerance in Distributed Network Systems. - Naixue Xiong; Yan Yang 001; Ming Cao 004; Jing He 001; Lei Shu 001 (CSE (2), 2009)

Design and analysis of an active predictive algorithm in wireless multicast networks. - Naixue Xiong; Laurence Tianruo Yang; Yi Pan 001; Athanasios V. Vasilakos; Jing He 001 (IPDPS, 2009)

A Neural Network Based Vehicle Classification System for Pervasive Smart Road Security. - Naixue Xiong; Jing He 001; Jong Hyuk Park 001; Donald H. Cooley; Yingshu Li (J. Univers. Comput. Sci., 2009)

A Survey on Multimedia Communicating Technology Based on Spatial Audio Coding. - Naixue Xiong; Shuixian Chen; Jing He 001; Yanxiang He; Athanasios V. Vasilakos; Jong Hyuk Park 001; Yan Yang 001 (AINA, 2010)

A Reliable Energy Efficient Algorithm for Target Coverage in Wireless Sensor Networks. - Jing He 001; Naixue Xiong; Yang Xiao 001; Yi Pan 001 (ICDCS Workshops, 2010)

A Novel Clustering Topology Control for Reliable Multi-hop Routing in Wireless Sensor Networks. - Ruiying Du; Chunyu Ai; Longjiang Guo; Jing Chen 003; Jianwei Liu 001; Jing He 001; Yingshu Li (J. Commun., 2010)

A Survey on Decentralized Flocking Schemes for a Set of Autonomous Mobile Robots (Invited Paper). - Naixue Xiong; Jing He 001; Yan Yang 001; Yanxiang He; Tai-Hoon Kim; Chuan Lin 001 (J. Commun., 2010)

Minimum latency scheduling for Multi-Regional Query in Wireless Sensor Networks. - Mingyuan Yan; Jing He 001; Shouling Ji; Yingshu Li (IPCCC, 2011)

Genetic-algorithm-based construction of Load-Balanced CDSs in Wireless Sensor Networks. - Jing He 001; Shouling Ji; Mingyuan Yan; Yi Pan 001; Yingshu Li (MILCOM, 2011)

A Genetic Algorithm for Constructing a Reliable MCDS in Probabilistic Wireless Networks. - Jing He 001; Zhipeng Cai 001; Shouling Ji; Raheem A. Beyah; Yi Pan 001 (WASA, 2011)

Load-Balanced Virtual Backbone Construction for Wireless Sensor Networks. - Jing He 001; Shouling Ji; Yi Pan 001; Zhipeng Cai 001 (COCOA, 2012)

Constructing a load-balanced virtual backbone in Wireless Sensor Networks. - Jing (Selena) He; Shouling Ji; Pingzhi Fan; Yi Pan 001; Yingshu Li (ICNC, 2012)

Optimal Distributed Data Collection for Asynchronous Cognitive Radio Networks. - Zhipeng Cai 001; Shouling Ji; Jing He 001; Anu G. Bourgeois (ICDCS, 2012)

Implementing the Jacobi Algorithm for Solving Eigenvalues of Symmetric Matrices with CUDA. - Tao Wang; Longjiang Guo; Guilin Li; Jinbao Li; Renda Wang; Meirui Ren; Jing (Selena) He (NAS, 2012)

Load-balanced CDS construction in wireless sensor networks via genetic algorithm. - Jing He 001; Shouling Ji; Mingyuan Yan; Yi Pan 001; Yingshu Li (Int. J. Sens. Networks, 2012)

A Multi-Objective Genetic Algorithm for constructing load-balanced virtual backbones in probabilistic Wireless Sensor Networks. - Jing He 001; Shouling Ji; Raheem A. Beyah; Yingshu Li (GLOBECOM, 2013)

Vision-Based Web Page Block Segmentation and Informative Block Detection. - Xuhong Zhang 004; Yanqing Zhang 001; Jing (Selena) He; Frank Cobia (Web Intelligence/IAT Workshops, 2013)

Minimum-sized Positive Influential Node Set selection for social networks: Considering both positive and negative influences. - Jing He 001; Shouling Ji; Xiaojing Liao; Hisham M. Haddad; Raheem A. Beyah (IPCCC, 2013)

Parallel Algorithm for Approximate String Matching with K Differences. - Longjiang Guo; Shufang Du; Meirui Ren; Yu Liu; Jinbao Li; Jing He 001; Ning Tian; Keqin Li 001 (NAS, 2013)

Continuous data aggregation and capacity in probabilistic wireless sensor networks. - Shouling Ji; Jing (Selena) He; Yi Pan 001; Yingshu Li (J. Parallel Distributed Comput., 2013)

Approximation algorithms for load-balanced virtual backbone construction in wireless sensor networks. - Jing (Selena) He; Shouling Ji; Yi Pan 001; Zhipeng Cai 001 (Theor. Comput. Sci., 2013)

Cell-based snapshot and continuous data collection in wireless sensor networks. - Shouling Ji; Jing (Selena) He; A. Selcuk Uluagac; Raheem A. Beyah; Yingshu Li (ACM Trans. Sens. Networks, 2013)

A survey of GPU accelerated SVM. - Yunmei Lu; Yun Zhu; Meng Han; Jing (Selena) He; Yanqing Zhang 001 (ACM Southeast Regional Conference, 2014)

CS++: expanding CS curriculum via open cybersecurity courseware. - Ying Xie 001; Hossain Shahriar; Jing He 001; Sarah North 001; Bennett Setzer; Kenneth E. Hoganson (ACM Southeast Regional Conference, 2014)

Structure Based Data De-Anonymization of Social Networks and Mobility Traces. - Shouling Ji; Weiqing Li; Mudhakar Srivatsa; Jing (Selena) He; Raheem A. Beyah (ISC, 2014)

Minimum-sized influential node set selection for social networks under the independent cascade model. - Jing (Selena) He; Shouling Ji; Raheem A. Beyah; Zhipeng Cai 001 (MobiHoc, 2014)

A Genetic Algorithm with Immigrants Schemes for Constructing a σ-Reliable MCDS in Probabilistic Wireless Networks. - Jing (Selena) He; Shouling Ji; Yi Pan 001; Zhipeng Cai 001 (Ad Hoc Sens. Wirel. Networks, 2014)

Distributed and Asynchronous Data Collection in Cognitive Radio Networks with Fairness Consideration. - Zhipeng Cai 001; Shouling Ji; Jing He 001; Lin Wei; Anu G. Bourgeois (IEEE Trans. Parallel Distributed Syst., 2014)

Constructing Load-Balanced Data Aggregation Trees in Probabilistic Wireless Sensor Networks. - Jing He 001; Shouling Ji; Yi Pan 001; Yingshu Li (IEEE Trans. Parallel Distributed Syst., 2014)

Greedy construction of load-balanced virtual backbones in wireless sensor networks. - Jing (Selena) He; Shouling Ji; Yi Pan 001; Yingshu Li (Wirel. Commun. Mob. Comput., 2014)

Multi-regional query scheduling in wireless sensor networks with minimum latency. - Mingyuan Yan; Jing (Selena) He; Shouling Ji; Yingshu Li (Wirel. Commun. Mob. Comput., 2014)

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

Blocking negative influential node set in social networks: From host perspective. - Harneet Kaur; Manasvi Talluri; Jing (Selena) He (CTS, 2015)

Get Twitter information: A collaborative Android application for big data analysis. - Harneet Kaur; Manasvi Talluri; Jing (Selena) He (CTS, 2015)

Influence maximization in social networks: Considering both positive and negative relationships. - Manasvi Talluri; Harneet Kaur; Jing (Selena) He (CTS, 2015)

Primary social behavior aware routing and scheduling for Cognitive Radio Networks. - Shouling Ji; Zhipeng Cai 001; Jing (Selena) He; Raheem A. Beyah (SECON, 2015)

Constructing load-balanced virtual backbones in probabilistic wireless sensor networks via multi-objective genetic algorithm. - Jing (Selena) He; Shouling Ji; Raheem A. Beyah; Ying Xie 001; Yingshu Li (Trans. Emerg. Telecommun. Technol., 2015)

Visualization of big high dimensional data in a three dimensional space. - Ying Xie 001; Pooja Chenna; Jing (Selena) He; Linh Le; Jacey Planteen (BDCAT, 2016)

Internet of Things-Based Framework to Facilitate Indoor Localization Education. - Amir Atabekov; Jing He 001; Patrick O. Bobbie (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)

Multi-dimensional and customizable open-source labware for promoting big data analytical skills in STEM education. - Ying Xie 001; Kai Qian; Jing He 001 (FIE, 2016)

Internet-of-Things Based Smart Resource Management System: A Case Study Intelligent Chair System. - Jing He 001; Amir Atabekov; Hisham M. Haddad (ICCCN, 2016)

The Paradox of Social Media Security: Users' Perceptions versus Behaviors. - Zahra Alqubaiti; Lei Li 021; Jing He 001 (RIIT, 2016)

General Graph Data De-Anonymization: From Mobility Traces to Social Networks. - Shouling Ji; Weiqing Li; Mudhakar Srivatsa; Jing (Selena) He; Raheem A. Beyah (ACM Trans. Inf. Syst. Secur., 2016)

Internet of Things (IoT)-based Learning Framework to Facilitate STEM Undergraduate Education. - Jing (Selena) He; Shouling Ji; Patrick Otoo Bobbie (ACM Southeast Regional Conference, 2017)

Influence Spread in Social Networks with both Positive and Negative Influences. - Jing (Selena) He; Ying Xie 001; Tianyu Du; Shouling Ji; Zhao Li 007 (COCOON, 2017)

Efficient Privacy-Preservation Multi-factor Ranking with Approximate Search over Encrypted Big Cloud Data. - Jing He 001; Yiming Wu; Guangli Xiang; Zhendong Wu; Shouling Ji (CSS, 2017)

Static Taint Analysis Method for Intent Injection Vulnerability in Android Applications. - Bin Xiong; Guangli Xiang; Tianyu Du; Jing (Selena) He; Shouling Ji (CSS, 2017)

Blocking negative influential node set in social networks: from host perspective. - Harneet Kaur; Jing (Selena) He (Trans. Emerg. Telecommun. Technol., 2017)

Deep learning approach for cyberattack detection. - Yiyun Zhou; Meng Han; Liyuan Liu; Jing (Selena) He; Yan Wang 062 (INFOCOM Workshops, 2018)

A Novel Blockchain-based Education Records Verification Solution. - Meng Han; Zhigang Li; Jing (Selena) He; Dalei Wu; Ying Xie 001; Asif Iqbal Baba (SIGITE, 2018)

An Energy-Efficient Secure Adaptive Cloud-of-Things (CoT) Framework to Facilitate Undergraduate STEM Education. - Jing (Selena) He; Meng Han; Patrick O. Bobbie (SIGITE, 2018)

Voice and Motion-based Control System: Proof-of-Concept Implementation on Robotics via Internet-of-Things Technologies. - Selena He; Aiju Zhang; Mingyuan Yan (ACM Southeast Regional Conference, 2019)

Idiopathic Interstitial Pneumonias Medical Image Detection Using Deep Learning Techniques: A Survey. - Zhuoqi Sun; Selena He (ACM Southeast Regional Conference, 2019)

What are the Non-majors Looking for in CS Classes? - Meng Han; Zhigang Li; Jing He 001; Xin Tian 007 (FIE, 2019)

A Community-based Computational and Engineering Sciences Initiative toward National Development (COESIND). - Jing Selena He; Patrick O. Bobbie; Meng Han (FIE, 2019)

Understand the Emerging Demands of Computing Education for Non-CS Major Students. - Meng Han; Zhigang Li; Jing (Selena) He; Xin Shirley Tian (SIGCSE, 2019)

Untampered Electronic Voting in Entertainment Industry: A Blockchain-based Implementation. - Shreya Desai; Meng Han; Lei Li 021; Zhigang Li; Jing (Selena) He; Xiaohua Xu 002 (SIGITE, 2019)

Spreading social influence with both positive and negative opinions in online networks. - Jing (Selena) He; Meng Han; Shouling Ji; Tianyu Du; Zhao Li 007 (Big Data Min. Anal., 2019)

Implementing Capsule Neural Networks in Traffic Light Image Recognition. - Jing Selena He; Meng Han; Guangzhi Jack Zheng; Herman E. Ray (ACM Southeast Regional Conference, 2020)

Long Range Iris Recognition a Reality or a Myth?: A Survey. - Jing Selena He; Mingyuan Yan; Sahil Arora (ACM Southeast Regional Conference, 2020)

A Chatbot-based Mobile Application to Predict and Early-prevent Human Mental Illness. - Ava Podrazhansky; Hao Zhang; Meng Han; Selena He (ACM Southeast Regional Conference, 2020)

Integrating Blockchain Technology into Healthcare. - Jhanvi Devangbhai Vyas; Meng Han; Lin Li 087; Seyedamin Pouriyeh; Jing Selena He (ACM Southeast Regional Conference, 2020)

Effects of and Defenses Against Adversarial Attacks on a Traffic Light Classification CNN. - Morris Wan; Meng Han; Lin Li 087; Zhigang Li; Selena He (ACM Southeast Regional Conference, 2020)

Lung Pattern Classification Via DCNN. - Jing Selena He; Meng Han; Lei Yu; Chao Mei (IEEE BigData, 2020)

Abnormal Activity Detection in Edge Computing: A Transfer Learning Approach. - Yiyun Zhou; Meng Han; Jing Selena He; Liyuan Liu; Xiaohua Xu 002; Xi Gao (ICNC, 2020)

Converting Handwritten Text to Editable Format via Gesture Recognition for Education. - Jing (Selena) He; Meng Han; Nidhibahen Patel; Zhigang Li (SIGCSE, 2020)

Seeking the Goals of K-12 Computing Education: A Text Analysis based Literature Review. - Yinning Zhang; Meng Han; Jing (Selena) He (SIGCSE, 2020)

A Theory-Based Course Development Framework: A Case Study. - Zhigang Li; Meng Han; Xin Shirley Tian; Jing (Selena) He (SIGITE, 2020)

TinyAKE: A More Practicable and Trustable Scheme for Authenticated Key Establishment in WSNs. - Fajun Sun; Selena He; Xiaotong Zhang; Fanfan Shen; Qingan Li; Yanxiang He (CoRR, 2021)

DDG-Based Optimization Metrics for Defect Prediction. - Yong Chen; Chao Xu; Jing Selena He; Sheng Xiao; Fanfan Shen (ICAIS (1), 2022)

Energy Reduction Method by Compiler Optimization. - Sheng Xiao; Jing Selena He; Jingwen Yang; Xiaomeng Hong; Jinke Luo (ICAIS (1), 2022)

Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. - Kun Suo; Tu N. Nguyen 001; Yong Shi 002; Jing Selena He; Chih-Cheng Hung (IPCCC, 2022)

5G network slicing and drone-assisted applications: a deep reinforcement learning approach. - Linh Le; Tu N. Nguyen 001; Kun Suo; Jing (Selena) He (DroneCom@MobiCom, 2022)

Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach. - Linh Le; Tu N. Nguyen 001; Kun Suo; Jing He 001 (CoRR, 2022)

A Fully Authenticated Diffie-Hellman Protocol and Its Application in WSNs. - Fajun Sun; Selena He; Xiaotong Zhang; Jun Zhang 058; Qingan Li; Yanxiang He (IEEE Trans. Inf. Forensics Secur., 2022)

Optimization of Big Data Parallel Scheduling Based on Dynamic Clustering Scheduling Algorithm. - Fang Liu 031; Yanxiang He; Jing He 001; Xing Gao; Feihu Huang 003 (J. Signal Process. Syst., 2022)

Robust Efficient License Plate and Character Detection System Based on Simplified CNN. - Selena He; Tu N. Nguyen 001; Kun Suo (ACM Southeast Regional Conference, 2023)

An IoT-based System of Converting Handwritten Text to Editable Format via Gesture Recognition. - Jing Selena He; Zhigang Li; Xin Shirley Tian (SIGITE, 2023)

Designing an Empathy Training for Depression Prevention Using Virtual Reality and a Preliminary Study. - Yi Joy Li; Amy Huang; Bhavya Sri Sanku; Jing Selena He (VR Workshops, 2023)

Enhancing attention in autism spectrum disorder: comparative analysis of virtual reality-based training programs using physiological data. - Bhavya Sri Sanku; Yi (Joy) Li; Sungchul Jung; Chao Mei; Jing (Selena) He (Frontiers Comput. Sci., 2023)

A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. - Kun Suo; Long Vu; Md. Romyull Islam; Nobel Dhar; Tu N. Nguyen 001; Selena He; Xiaofeng Wu 002 (ACM Southeast Regional Conference, 2024)

Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. - Long Vu; Kun Suo; Md. Romyull Islam; Nobel Dhar; Tu N. Nguyen 001; Selena He; Yong Shi 002 (ACM Southeast Regional Conference, 2024)

Abdominal Trauma Detection using Hybrid Quantum Machine Learning. - Md Majedul Islam; Jing Selena He (IEEE Big Data, 2024)

A Hardware-in-the-Loop Wireless System Design: Benchmarking NFV Network Services. - Dillon J. Horton; Thai T. Vu; Tu N. Nguyen 001; Kun Suo; Ahyoung Lee; Selena He; Yong Shi 002 (CAMAD, 2024)

Quantum Machine Learning for Computer Vision: A Survey. - Md Majedul Islam; Jing Selena He (ICMLA, 2024)

Characterizing and Understanding the Performance of Small Language Models on Edge Devices. - Md. Romyull Islam; Nobel Dhar; Bobin Deng; Tu N. Nguyen 001; Selena He; Kun Suo (IPCCC, 2024)

A Review on Quantum Machine Learning in Different Computer Vision Fields. - Md Majedul Islam; Jing Selena He (IPCCC, 2024)

Vision Transformer-based overlay processor for Edge Computing. - Fang Liu 031; Zimeng Fan 001; Wei Hu 001; Dian Xu; Min Peng 002; Jing He 001; Yanxiang He (Appl. Soft Comput., 2024)

A fault-tolerant scheduling algorithm that minimizes the number of replicas in heterogeneous service-oriented cloud computing systems. - Fang Liu 031; Kejie Hu; Jing He 001; Wei Hu 001; Heyuan Li; Min Peng 002; Yanxiang He (J. Supercomput., 2024)

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. - Xiaomin Shen; Jianliang Gao; Tengfei Lyu; Jiamin Chen; Jiarun Zhang; Jing He 001; Zhao Li 007; Wei Yu (Int. J. Data Min. Bioinform., 2025)