Ying Xie

75 papers B 16C 8Misc 11Journal 16Unranked 22
YearRankTypeTitle / Venue / Authors
2025 B conf
Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillation.
IJCNN
Reuven Muller, Ying Xie, Linh Le, Shaoen Wu
2025 J jnl
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap.
CoRR
Srivatsa Mallapragada, Ying Xie, Varsha Rani Chawan, Zeyad Hailat, Yuanbo Wang
2025 J jnl
Optimizing Day-Ahead Energy Trading with Proximal Policy Optimization and Blockchain.
CoRR
Navneet Verma, Ying Xie
2025 J jnl
SPADE: Superpixel Adjacency Driven Embedding for Three-Class Melanoma Segmentation.
Algorithms
Pablo Ordóñez, Ying Xie, Xinyue Zhang, Chloe Yixin Xie, Santiago Acosta, Issac Guitierrez
2025 — conf
Secrecy Improvement Using Active Reconfigurable Intelligent Surfaces and Leveraging Guard Zones.
VTC2025-Fall
Sumit Chakravarty, Ying Xie
2024 B conf
Chrono Clustering: A Novel Methodology for Dynamic Topic Trend Analysis.
IJCNN
Qiaomu Li, Ying Xie, Shaoen Wu
2024 B conf
Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future Directions.
IEEE Big Data
Sahar Yarmohammadtoosky, Ying Xie
2024 B conf
EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational Support.
IEEE Big Data
Qiaomu Li, Ying Xie, Sumit Chakravarty, Dabae Lee
2024 J jnl
Machine Learning and Computer Visualization for Monocular Biomechanical Analysis.
Wirel. Pers. Commun.
Sumit Chakravarty, Arun Kumar, Michael Hales, John David Johnson, Ying Xie
2024 B conf
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap.
IEEE Big Data
Srivatsa Mallapragada, Ying Xie, Varsha Rani Chawan, Zeyad Hailat, Yuanbo Wang
2023 Misc conf
AI meets AI: Artificial Intelligence and Academic Integrity - A Survey on Mitigating AI-Assisted Cheating in Computing Education.
SIGITE
Ying Xie, Shaoen Wu, Sumit Chakravarty
2023 J jnl
Finding the Proverbial Needle: Improving Minority Class Identification Under Extreme Class Imbalance.
J. Classif.
Trent Geisler, Herman Ray, Ying Xie
2023 B conf
Poster: AsyncFedKD: Asynchronous Federated Learning with Knowledge Distillation.
CHASE
Malik Naik Mohammed, Xinyue Zhang, Maria Valero, Ying Xie
2023 Misc ed.
The 24th Annual Conference on Information Technology Education, SIGITE 2023, Marietta, GA, USA, October 11-14, 2023
SIGITE
Ying Xie, Becky Rutherfoord, Hyesung Park
2023 B conf
TreeBERT: Advanced Representation Learning for Relation Extraction.
IEEE Big Data
Shashank Hebbar, Ying Xie, Jiang Zhong
2022 B conf
An Application of Localized Model Explainability: Identifying Key Disparities in Social Determinants of Health in Food Deserts.
IEEE Big Data
Md. Shafiul Alam, Namazbai Ishmakhametov, Ying Xie, Sumit Chakravarty
2022 B conf
Appley: Approximate Shapley Value for Model Explainability in Linear Time.
IEEE Big Data
Md. Shafiul Alam, Ying Xie
2022 B conf
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning.
IEEE Big Data
Garima Thakur, Sitanshu Sekhar Sahu, Ying Xie, Sumit Chakravarty
2022 B ed.
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022
IEEE Big Data
Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
2022 B conf
Integrated Gradients is a Nonlinear Generalization of the Industry Standard Approach to Variable Attribution for Credit Risk Models.
IEEE Big Data
Jonathan W. Boardman, Md. Shafiul Alam, Xiao Huang, Ying Xie
2021 — conf
Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds.
IEEE BigData
Linh Le, Ying Xie, Sumit Chakravarty, Michael Hales, John Johnson, Tu N. Nguyen
2021 — conf
Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network.
BI
Sumit Chakravarty, Ying Xie, Linh Le, John Johnson, Michael Hales
2021 Misc conf
CovidBERT-Biomedical Relation Extraction for Covid-19.
FLAIRS
Shashank Hebbar, Ying Xie
2021 J jnl
KNN Loss and Deep KNN.
Fundam. Informaticae
Linh Le, Ying Xie, Vijay Raghavan
2020 Misc conf
A Novel Framework for Collaborated IT Project with the Consideration of Data Security and Privacy.
SIGITE
Meng Han, Lei Li, Ying Xie
2020 — conf
Action Recognition Using Dynamic Mode Decomposition for Temporal Representation.
IEEE BigData
Kyle Pawlowski, Sumit Chakravarty, Ying Xie, Arjun Kumar Joginipelly
2020 — conf
Deep Pose Alignment.
IEEE BigData
Linh Le, Ying Xie, Saisangararamaleengam Alagapan, Sumit Chakravarty, Pablo Ordóñez, Michael Hales, John Johnson
2020 J jnl
Machine Learning-Based Coding Decision Making in H.265/HEVC CTU Division and Intra Prediction.
Int. J. Mob. Comput. Multim. Commun.
Wenchan Jiang, Ming Yang, Ying Xie, Zhigang Li
2020 — conf
Mammography Image BI-RADS Classification Using OHPLall.
BigDataService
Robert Vanderheyden, Ying Xie
2019 — conf
Automatically Identifying of animals in the wilderness: Comparative studies between CNN and C-Capsule Network.
ICCDA
Joel Kamdem Teto, Ying Xie
2019 J jnl
Deep embedding kernel.
Neurocomputing
Linh Le, Ying Xie
2019 B conf
Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks.
NCA
Romas James Hada, Miao Jin, Ying Xie, Linh Le
2019 — conf
Net Promoter Sentiment Classifier Using OHPL-ALL.
IEEE BigData
Bob Vanderheyden, Ying Xie, Mohan Rachumallu
2019 — conf
Radically Simplifying Gated Recurrent Architectures Without Loss of Performance.
IEEE BigData
Jonathan W. Boardman, Ying Xie
2018 Misc conf
A Novel Blockchain-based Education Records Verification Solution.
SIGITE
Meng Han, Zhigang Li, Jing (Selena) He, Dalei Wu, Ying Xie, Asif Iqbal Baba
2018 — conf
American Sign Language Recognition using Deep Learning and Computer Vision.
IEEE BigData
Kshitij Bantupalli, Ying Xie
2018 J jnl
Cognitive Approach for Location Privacy Protection.
IEEE Access
Meng Han, Lei Li, Ying Xie, Jinbao Wang, Zhuojun Duan, Ji Li, Mingyuan Yan
2018 J jnl
Deep Embedding Kernel.
CoRR
Linh Le, Ying Xie
2018 — conf
Deep Similarity-Enhanced K Nearest Neighbors.
IEEE BigData
Linh Le, Ying Xie, Vijay V. Raghavan
2018 C conf
Designing Visually Interactive Learning Modules to Promote Students' Critical Thinking in Mathematics.
FIE
Vu Linda, Ying Xie, Meng Han
2018 — conf
Ordinal Hyperplane Loss.
IEEE BigData
Bob Vanderheyden, Ying Xie
2018 C conf
Recurrent Embedding Kernel for Predicting Stock Daily Direction.
BDCAT
Linh Le, Ying Xie
2017 B conf
A sentiment-change-driven event discovery system.
WI
Li-Li Zhang, Ying Xie, Guoliang Liu
2017 Misc conf
Influence Spread in Social Networks with both Positive and Negative Influences.
COCOON
Jing (Selena) He, Ying Xie, Tianyu Du, Shouling Ji, Zhao Li
2017 B conf
Unsupervised deep kernel for high dimensional data.
IJCNN
Ying Xie, Linh Le, Jie Hao
2016 C conf
Deep kernel: learning kernel function from data using deep neural network.
BDCAT
Linh Le, Jie Hao, Ying Xie, Jennifer L. Priestley
2016 — conf
Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining.
BigDataSecurity/HPSC/IDS
Tianda Yang, Kai Qian, Dan Chia-Tien Lo, Ying Xie, Yong Shi, Lixin Tao
2016 C conf
Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course.
FIE
Jing He, Dan Chia-Tien Lo, Ying Xie, Jonathan W. Lartigue
2016 C conf
Multi-dimensional and customizable open-source labware for promoting big data analytical skills in STEM education.
FIE
Ying Xie, Kai Qian, Jing He
2016 C conf
Visualization of big high dimensional data in a three dimensional space.
BDCAT
Ying Xie, Pooja Chenna, Jing (Selena) He, Linh Le, Jacey Planteen
2015 J jnl
Constructing load-balanced virtual backbones in probabilistic wireless sensor networks via multi-objective genetic algorithm.
Trans. Emerg. Telecommun. Technol.
Jing (Selena) He, Shouling Ji, Raheem A. Beyah, Ying Xie, Yingshu Li
2015 C conf
KNN++: An Enhanced K-Nearest Neighbor Approach for Classifying Data with Heterogeneous Views.
HIS
Ying Xie
2014 — conf
CS++: expanding CS curriculum via open cybersecurity courseware.
ACM Southeast Regional Conference
Ying Xie, Hossain Shahriar, Jing He, Sarah North, Bennett Setzer, Kenneth E. Hoganson
2013 — conf
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models.
RSFDGrC
Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie
2012 Misc conf
A random walk model based approach for quantifying technology emergence and impact for research articles.
GrC
Ying Xie, Vijay V. Raghavan
2012 — conf
Granular Approach for Protein Sequence Analysis.
RSCTC
Ying Xie, Jonathan Fisher, Vijay V. Raghavan, Tom Johnsten, Can Akkoç
2011 J jnl
Algorithms for discovering potentially interesting patterns.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
2011 — conf
Supervised Link Discovery on Large-Scale Biomedical Concept Networks.
BIBM
Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan, Ashish Gupta
2010 J jnl
Biomedical Relationship Extraction from literature based on bio-semantic token subsequences.
Int. J. Funct. Informatics Pers. Medicine
Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan
2010 Misc conf
Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets.
GrC
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
2009 Misc conf
An efficient algorithm for discovering positive and negative patterns.
GrC
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
2009 — conf
Biomedical Relationship Extraction from Literature Based on Bio-semantic Token Subsequences.
BIBM
Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan
2009 J jnl
Hyper-textual language model for web information retrieval.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Ying Xie, Vijay V. Raghavan, Andrew Young
2008 — ch.
Conceptual Biology Research Supporting Platform: Current Design and Future Directions.
Applications of Computational Intelligence in Biology
Ying Xie, Jayasimha Reddy Katukuri, Vijay V. Raghavan, Tony Presti
2008 Misc conf
Hyper-Textual Language Model for Web Information Retrieval.
GrC
Ying Xie, Vijay V. Raghavan, Andrew Young
2007 J jnl
Language-modeling kernel based approach for information retrieval.
J. Assoc. Inf. Sci. Technol.
Ying Xie, Vijay V. Raghavan
2006 — conf
On Novelty Evaluation of Potentially Useful Patterns.
DMIN
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Raghavan, Hisham Haddad
2006 Misc conf
On discovering "potentially useful" patterns from databases.
GrC
Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran
2005 — ch.
A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases.
Foundations of Data Mining and knowledge Discovery
Ying Xie, Vijay V. Raghavan
2005 J jnl
A new fuzzy clustering algorithm for optimally finding granular prototypes.
Int. J. Approx. Reason.
Ying Xie, Vijay V. Raghavan, Praveen Dhatric, Xiaoquan Zhao
2005 — conf
Incorporating agent based neural network model for adaptive meta-search.
ACM Southeast Regional Conference (1)
Ying Xie, Dheerendranath Mundluru, Vijay V. Raghavan
2004 — conf
GAMInG - A Framework for Generalization of Association Mining via Information Granulation.
Rough Sets and Current Trends in Computing
Ying Xie, Vijay V. Raghavan
2003 — conf
A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic.
RSFDGrC
Ying Xie, Vijay V. Raghavan
2003 C conf
Probability Logic Modeling of Knowledge Discovery in Databases.
ISMIS
Jitender S. Deogun, Liying Jiang, Ying Xie, Vijay V. Raghavan
2002 B conf
3M algorithm: finding an optimal fuzzy cluster scheme for proximity data.
FUZZ-IEEE
Ying Xie, Vijay V. Raghavan, Xiaoquan Zhao