Patents
- Y. Xie, L. Le, US1146138B2, Dual deep learning architecture for machine-learning systems, Patent granted in 2022
- Y. Xie, V. Raghavan, US9177047B2, System, method and computer program product for information sorting and retrieval using a language-modeling kernal function, Patent granted in 2015
- R. Jayasimhaa, K. Reddy, V. Raghavan, Y. Xie, US8494987B2, Semantic relationship extraction, text categorization and hypothesis generation, Patent granted in 2013
Publications
| Number | Author(s) | Title | Details |
|---|---|---|---|
| 1 | G. Saurabh, Y. Xie, H. Zafar | Fintech and Digital Payments: Developing a Domain Knowledge Framework | To appear in Journal of Information Systems Education (in press) |
| 2 | T. Geisler, H. Ray, & Y. Xie | Finding the Proverbial Needle: Improving Minority Class Identification Under Extreme Class Imbalance | Journal: J Classif 40, 192–212 (2023) DOI: 10.1007/s00357-023-09431-5 |
| 3 | M. Shafiul Alam and Y. Xie | Appley: Approximate Shapley Value for Model Explainability in Linear Time | Conference: 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022 Pages: 95-100 |
| 4 | J. Boardman, M. Alam, X. Huang and Y. Xie | Integrated Gradients is a Nonlinear Generalization of the Industry Standard Approach to Variable Attribution for Credit Risk Models | Conference: 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022 Pages: 5012-5023 DOI: 10.1109/BigData55660.2022.10020687 |
| 5 | Le, Linh, Xie, Ying, and Raghavan, Vijay V. | KNN Loss and Deep KNN | Publication Date: 1 Jan. 2021 Pages: 95 – 110 DOI: 10.3233/FI-2021-2068 |
| 6 | L. Zhang, T. Geisler, H. Ray & Y. Xie (2021) | Improving logistic regression on imbalanced data by a novel penalized log-likelihood function | Journal: Journal of Applied Statistics DOI: 10.1080/02664763.2021.1939662 |
| 7 | J. Li, M. Yang, Y. Xie, Z. Li. (2021) | A CU Depth Prediction Model Based on Pre-trained Convolutional Neural Network for HEVC Intra Encoding Complexity Reduction | Book: Advances in Machine Learning/Deep Learning-based Technologies (vol. 2). Springer |
| 8 | R. Vanderheyden and Y. Xie | Mammography Image BI-RADS Classification Using OHPLall | Conference: 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), Oxford, United Kingdom, 2020 Pages: 120-127 DOI: 10.1109/BigDataService49289.2020.00026 |
| 9 | L. Le, et al. | Deep Pose Alignment | Conference: 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020 Pages: 5366-5372 DOI: 10.1109/BigData50022.2020.9378321 |
| 10 | W. Jiang, M. Yang, Y. Xie, Z. Li (2020) | Machine Learning-Based Coding Decision Making in H.265/HEVC CTU Division and Intra Prediction | Journal: International Journal of Mobile Computing and Multimedia Communications, 11(2), 41-60 |
| 11 | Le, L., Xie, Y. (2019) | Deep Embedding Kernel | Journal: Neurocomputing, V. 339, Page 292-302 DOI: 10.1016/j.neucom.2019.02.037 |
| 12 | J. Boardman and Y. Xie | Radically Simplifying Gated Recurrent Architectures Without Loss of Performance | Conference: 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019 Pages: 2615-2623 DOI: 10.1109/BigData47090.2019.9005975 |
| 13 | B. Vanderheyden and Y. Xie | Ordinal Hyperplane Loss | Conference: 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018 Pages: 2337-2344 DOI: 10.1109/BigData.2018.8622079 |
| 14 | Y. Xie, L. Le, Y. Zhou, V. Vijay. (2018) | Deep Learning for Natural Language Processing | Book: Computational Analysis and Understanding of Natural Languages, Elservier |
| 15 | B. Vanderheyden, Y. Xie and M. Rachumallu | Net Promoter Sentiment Classifier Using OHPL-ALL | Conference: 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019 Pages: 2494-2502 DOI: 10.1109/BigData47090.2019.9006404 |
| 16 | L. Le, Y. Xie and V. Raghavan | Deep Similarity-Enhanced K Nearest Neighbors | Conference: 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018 Pages: 2643-2650 DOI: 10.1109/BigData.2018.8621894 |
| 17 | L. Le and Y. Xie | Recurrent Embedding Kernel for Predicting Stock Daily Direction | Conference: 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT), Zurich, Switzerland, 2018 Pages: 160-166 DOI: 10.1109/BDCAT.2018.00027 |
| 18 | M. Han, L. Li, Y. Xie, J. Wang, Z. Duan, J. Li, M. Yan | Cognitive Approach for Location Privacy Protection | Journal: IEEE Access, vol. 6, pp. 13466-13477, 2018 DOI: 10.1109/ACCESS.2018.2805464. |