3M algorithm: finding an optimal fuzzy cluster scheme for proximity data. - Ying Xie 001; Vijay V. Raghavan 001; Xiaoquan Zhao (FUZZ-IEEE, 2002)

Probability Logic Modeling of Knowledge Discovery in Databases. - Jitender S. Deogun; Liying Jiang; Ying Xie 001; Vijay V. Raghavan 001 (ISMIS, 2003)

A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic. - Ying Xie 001; Vijay V. Raghavan 001 (RSFDGrC, 2003)

GAMInG - A Framework for Generalization of Association Mining via Information Granulation. - Ying Xie 001; Vijay V. Raghavan 001 (Rough Sets and Current Trends in Computing, 2004)

Incorporating agent based neural network model for adaptive meta-search. - Ying Xie 001; Dheerendranath Mundluru; Vijay V. Raghavan 001 (ACM Southeast Regional Conference (1), 2005)

A new fuzzy clustering algorithm for optimally finding granular prototypes. - Ying Xie 001; Vijay V. Raghavan 001; Praveen Dhatric; Xiaoquan Zhao (Int. J. Approx. Reason., 2005)

A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases. - Ying Xie 001; Vijay V. Raghavan 001 (Foundations of Data Mining and knowledge Discovery, 2005)

On Novelty Evaluation of Potentially Useful Patterns. - Ying Xie 001; Manmathasivaram Nagarajan; Vijay V. Raghavan 001; Hisham Haddad (DMIN, 2006)

On discovering "potentially useful" patterns from databases. - Ying Xie 001; Tom Johnsten; Vijay V. Raghavan 001; Karthik Ramachandran (GrC, 2006)

Language-modeling kernel based approach for information retrieval. - Ying Xie 001; Vijay V. Raghavan 001 (J. Assoc. Inf. Sci. Technol., 2007)

Conceptual Biology Research Supporting Platform: Current Design and Future Directions. - Ying Xie 001; Jayasimha Reddy Katukuri; Vijay V. Raghavan 001; Tony Presti (Applications of Computational Intelligence in Biology, 2008)

An efficient algorithm for discovering positive and negative patterns. - Raj Singh; Tom Johnsten; Vijay V. Raghavan 001; Ying Xie 001 (GrC, 2009)

Hyper-textual language model for web information retrieval. - Ying Xie 001; Vijay V. Raghavan 001; Andrew Young (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009)

Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets. - Raj Singh; Tom Johnsten; Vijay V. Raghavan 001; Ying Xie 001 (GrC, 2010)

Biomedical Relationship Extraction from literature based on bio-semantic token subsequences. - Jayasimha Reddy Katukuri; Ying Xie 001; Vijay V. Raghavan 001 (Int. J. Funct. Informatics Pers. Medicine, 2010)

Supervised Link Discovery on Large-Scale Biomedical Concept Networks. - Jayasimha Reddy Katukuri; Ying Xie 001; Vijay V. Raghavan 001; Ashish Gupta (BIBM, 2011)

Algorithms for discovering potentially interesting patterns. - Raj Singh; Tom Johnsten; Vijay V. Raghavan 001; Ying Xie 001 (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011)

A random walk model based approach for quantifying technology emergence and impact for research articles. - Ying Xie 001; Vijay V. Raghavan 001 (GrC, 2012)

Granular Approach for Protein Sequence Analysis. - Ying Xie 001; Jonathan Fisher; Vijay V. Raghavan 001; Tom Johnsten; Can Akkoç (RSCTC, 2012)

Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models. - Vijay V. Raghavan 001; Ryan G. Benton; Tom Johnsten; Ying Xie 001 (RSFDGrC, 2013)

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)

KNN++: An Enhanced K-Nearest Neighbor Approach for Classifying Data with Heterogeneous Views. - Ying Xie 001 (HIS, 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)

Deep kernel: learning kernel function from data using deep neural network. - Linh Le; Jie Hao; Ying Xie 001; Jennifer L. Priestley (BDCAT, 2016)

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)

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)

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)

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)

Unsupervised deep kernel for high dimensional data. - Ying Xie 001; Linh Le; Jie Hao (IJCNN, 2017)

A sentiment-change-driven event discovery system. - Li-li Zhang; Ying Xie 001; Guoliang Liu (WI, 2017)

Recurrent Embedding Kernel for Predicting Stock Daily Direction. - Linh Le; Ying Xie 001 (BDCAT, 2018)

American Sign Language Recognition using Deep Learning and Computer Vision. - Kshitij Bantupalli; Ying Xie 001 (IEEE BigData, 2018)

Deep Similarity-Enhanced K Nearest Neighbors. - Linh Le; Ying Xie 001; Vijay V. Raghavan 001 (IEEE BigData, 2018)

Ordinal Hyperplane Loss. - Bob Vanderheyden; Ying Xie 001 (IEEE BigData, 2018)

Designing Visually Interactive Learning Modules to Promote Students' Critical Thinking in Mathematics. - Vu Linda; Ying Xie 001; Meng Han (FIE, 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)

Cognitive Approach for Location Privacy Protection. - Meng Han; Lei Li 021; Ying Xie 001; Jinbao Wang; Zhuojun Duan; Ji Li 007; Mingyuan Yan (IEEE Access, 2018)

Radically Simplifying Gated Recurrent Architectures Without Loss of Performance. - Jonathan W. Boardman; Ying Xie 001 (IEEE BigData, 2019)

Net Promoter Sentiment Classifier Using OHPL-ALL. - Bob Vanderheyden; Ying Xie 001; Mohan Rachumallu (IEEE BigData, 2019)

Automatically Identifying of animals in the wilderness: Comparative studies between CNN and C-Capsule Network. - Joel Kamdem Teto; Ying Xie 001 (ICCDA, 2019)

Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks. - Romas James Hada; Miao Jin; Ying Xie 001; Linh Le (NCA, 2019)

Deep embedding kernel. - Linh Le; Ying Xie 001 (Neurocomputing, 2019)

Deep Pose Alignment. - Linh Le; Ying Xie 001; Saisangararamaleengam Alagapan; Sumit Chakravarty; Pablo Ordóñez; Michael Hales; John Johnson (IEEE BigData, 2020)

Action Recognition Using Dynamic Mode Decomposition for Temporal Representation. - Kyle Pawlowski; Sumit Chakravarty; Ying Xie 001; Arjun Kumar Joginipelly (IEEE BigData, 2020)

Mammography Image BI-RADS Classification Using OHPLall. - Robert Vanderheyden; Ying Xie 001 (BigDataService, 2020)

A Novel Framework for Collaborated IT Project with the Consideration of Data Security and Privacy. - Meng Han; Lei Li 021; Ying Xie 001 (SIGITE, 2020)

Machine Learning-Based Coding Decision Making in H.265/HEVC CTU Division and Intra Prediction. - Wenchan Jiang; Ming Yang 019; Ying Xie 001; Zhigang Li (Int. J. Mob. Comput. Multim. Commun., 2020)

Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds. - Linh Le; Ying Xie 001; Sumit Chakravarty; Michael Hales; John Johnson; Tu N. Nguyen 001 (IEEE BigData, 2021)

Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network. - Sumit Chakravarty; Ying Xie 001; Linh Le; John Johnson; Michael Hales (BI, 2021)

CovidBERT-Biomedical Relation Extraction for Covid-19. - Shashank Hebbar; Ying Xie 001 (FLAIRS, 2021)

KNN Loss and Deep KNN. - Linh Le; Ying Xie 001; Vijay Raghavan 001 (Fundam. Informaticae, 2021)

An Application of Localized Model Explainability: Identifying Key Disparities in Social Determinants of Health in Food Deserts. - Md. Shafiul Alam; Namazbai Ishmakhametov; Ying Xie 001; Sumit Chakravarty (IEEE Big Data, 2022)

Appley: Approximate Shapley Value for Model Explainability in Linear Time. - Md. Shafiul Alam; Ying Xie 001 (IEEE Big Data, 2022)

Integrated Gradients is a Nonlinear Generalization of the Industry Standard Approach to Variable Attribution for Credit Risk Models. - Jonathan W. Boardman; Md. Shafiul Alam; Xiao Huang; Ying Xie 001 (IEEE Big Data, 2022)

Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning. - Garima Thakur; Sitanshu Sekhar Sahu; Ying Xie 001; Sumit Chakravarty (IEEE Big Data, 2022)

TreeBERT: Advanced Representation Learning for Relation Extraction. - Shashank Hebbar; Ying Xie 001; Jiang Zhong (IEEE Big Data, 2023)

Poster: AsyncFedKD: Asynchronous Federated Learning with Knowledge Distillation. - Malik Naik Mohammed; Xinyue Zhang 001; Maria Valero; Ying Xie 001 (CHASE, 2023)

AI meets AI: Artificial Intelligence and Academic Integrity - A Survey on Mitigating AI-Assisted Cheating in Computing Education. - Ying Xie 001; Shaoen Wu; Sumit Chakravarty (SIGITE, 2023)

Finding the Proverbial Needle: Improving Minority Class Identification Under Extreme Class Imbalance. - Trent Geisler; Herman Ray; Ying Xie 001 (J. Classif., 2023)

EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational Support. - Qiaomu Li; Ying Xie 001; Sumit Chakravarty; Dabae Lee (IEEE Big Data, 2024)

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap. - Srivatsa Mallapragada; Ying Xie 001; Varsha Rani Chawan; Zeyad Hailat; Yuanbo Wang (IEEE Big Data, 2024)

Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future Directions. - Sahar Yarmohammadtoosky; Ying Xie 001 (IEEE Big Data, 2024)

Chrono Clustering: A Novel Methodology for Dynamic Topic Trend Analysis. - Qiaomu Li; Ying Xie 001; Shaoen Wu (IJCNN, 2024)

Machine Learning and Computer Visualization for Monocular Biomechanical Analysis. - Sumit Chakravarty; Arun Kumar 014; Michael Hales; John David Johnson; Ying Xie 001 (Wirel. Pers. Commun., 2024)

Optimizing Day-Ahead Energy Trading with Proximal Policy Optimization and Blockchain. - Navneet Verma; Ying Xie 001 (CoRR, 2025)