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2020 – today
- 2025
[j41]Xia Jiang, Rui Li, Zhangxin Chen:
A discontinuous Galerkin method for the Brinkman-Darcy-transport problem. J. Comput. Appl. Math. 453: 116155 (2025)- 2024
- [j40]Yiming Liu, Xiang Tao, Yan Wang, Xia Jiang, Maxim Sergeevich Vonsky, Lubov Borisovna Mitrofanova, Qingli Li
:
Augmented contour scoring snake for instance segmentation of placental separable villi. Biomed. Signal Process. Control. 97: 106713 (2024) - [j39]Xia Jiang, Zhenzhou Lu:
An efficient method for estimating failure possibility function by combining adaptive Kriging model with augmented fuzzy simulation. Eng. Comput. 40(1): 91-104 (2024) - [j38]Hanying Li, Zhenzhou Lu, Xia Jiang, Yixin Lu:
A new learning function for estimating time-dependent failure possibility under fuzzy uncertainty. Eng. Comput. 40(3): 1999-2017 (2024) - [j37]Chi Xu, Zhijie Zhang, Zhenghui Fu, Shenqing Xiong, Hao Chen, Wanchang Zhang, Shuhang Wang, Donghui Zhang, Heng Lu, Xia Jiang:
Impacts of Climatic Fluctuations and Vegetation Greening on Regional Hydrological Processes: A Case Study in the Xiaoxinganling Mountains-Sanjiang Plain Region, Northeastern China. Remote. Sens. 16(15): 2709 (2024) - [j36]Xia Jiang, Zhenzhou Lu:
A novel quantile-based sequential optimization and reliability assessment method for safety life analysis. Reliab. Eng. Syst. Saf. 243: 109810 (2024) - [j35]Yingshi Hu, Zhenzhou Lu, Ning Wei, Xia Jiang:
Importance sampling enhanced by adaptive two-stage Kriging model and active subspace for analyzing rare probability with high dimensional input vector. Reliab. Eng. Syst. Saf. 245: 110019 (2024) - [j34]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie:
Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4082-4096 (2024) - [i12]Xia Jiang, Yijun Zhou, Chuhan Xu, Adam Brufsky, Alan Wells:
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data. CoRR abs/2408.07673 (2024) - [i11]Xia Jiang, Yaoxin Wu, Yuan Wang, Yingqian Zhang:
UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model. CoRR abs/2408.12214 (2024) - [i10]Yijun Zhou, Om Arora-Jain, Xia Jiang:
Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy for Meta Tuning Concerning Deep Feed-forward Neural Network. CoRR abs/2408.15498 (2024) - [i9]Xia Jiang, Yijun Zhou, Alan Wells, Adam Brufsky:
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9. CoRR abs/2408.16256 (2024) - 2023
- [j33]Fengyi Deng, Yajun Lin, Xia Jiang:
Influence mechanism of consumers' characteristics on impulsive purchase in E-commerce livestream marketing. Comput. Hum. Behav. 148: 107894 (2023) - [j32]Xia Jiang, Xianlin Zeng, Lihua Xie, Jian Sun:
Variance-Reduced Shuffling Gradient Descent With Momentum for Finite-Sum Minimization. IEEE Control. Syst. Lett. 7: 1700-1705 (2023) - [j31]Zongxi Qu, Yutong Li, Xia Jiang, Chunhua Niu:
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting. Expert Syst. Appl. 212: 118746 (2023) - [j30]Xia Jiang, Zhenzhou Lu, Kaixuan Feng:
An efficient hierarchical fuzzy simulation method for estimating failure possibility. Eng. Comput. 39(5): 3085-3097 (2023) - [j29]Huanyu Li, Peng Zhang, Zikun Wei, Tian Qian, Yiqi Tang, Kun Hu, Xianqiong Huang, Xinxin Xia, Yishuang Zhang, Haixing Cheng, Fubing Yu, Wenjia Zhang, Kena Dan, Xuan Liu, Shujun Ye, Guangqiao He, Xia Jiang, Liwei Liu, Yukun Fan, Tingting Song, Guomin Zhou, Ziyi Wang, Daojun Zhang, Junwei Lv:
Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text. Frontiers Artif. Intell. 6 (2023) - [j28]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Distributed Synchronous and Asynchronous Algorithms for Semidefinite Programming With Diagonal Constraints. IEEE Trans. Autom. Control. 68(2): 1007-1022 (2023) - [j27]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Distributed Proximal Gradient Algorithm for Nonconvex Optimization Over Time-Varying Networks. IEEE Trans. Control. Netw. Syst. 10(2): 1005-1017 (2023) - [j26]Xia Jiang, Jian Zhang, Xiaoyu Shi, Jian Cheng:
Learning the Policy for Mixed Electric Platoon Control of Automated and Human-Driven Vehicles at Signalized Intersection: A Random Search Approach. IEEE Trans. Intell. Transp. Syst. 24(5): 5131-5143 (2023) - [j25]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Distributed Stochastic Gradient Tracking Algorithm With Variance Reduction for Non-Convex Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5310-5321 (2023) - [c16]Xia Jiang, Qingli Li, Decheng Wei:
A BDS/GPS Integrated Positioning Algorithm Based On Kalman Filter and Deep Neural Networks. CISP-BMEI 2023: 1-9 - [i8]Chenyu Li, Xia Jiang:
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL). CoRR abs/2301.10888 (2023) - 2022
- [j24]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Yue Wei:
A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization. IEEE CAA J. Autom. Sinica 9(10): 1792-1800 (2022) - [j23]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Distributed Solver for Discrete-Time Lyapunov Equations Over Dynamic Networks With Linear Convergence Rate. IEEE Trans. Cybern. 52(2): 937-946 (2022) - [c15]Chenyu Li, Israel Dilan-Pantojas, Shyam Visweswaran, Michael J. Becich, Xia Jiang, Richard D. Boyce:
Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. AMIA 2022 - [i7]Xia Jiang, Xianlin Zeng, Lihua Xie, Jian Sun, Jie Chen:
Distributed stochastic projection-free solver for constrained optimization. CoRR abs/2204.10605 (2022) - [i6]Xia Jiang, Jian Zhang, Xiaoyu Shi, Jian Cheng:
Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: a random search approach. CoRR abs/2206.12052 (2022) - [i5]Xia Jiang, Jian Zhang, Dan Li:
Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach. CoRR abs/2206.12065 (2022) - [i4]Chuhan Xu, Pablo Coen-Pirani, Xia Jiang:
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis. CoRR abs/2208.02150 (2022) - [i3]Chuhan Xu, Xia Jiang:
iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction and Deep Learning. CoRR abs/2210.05671 (2022) - 2021
- [j22]Yingshi Hu, Zhenzhou Lu, Xia Jiang, Ning Wei, Changcong Zhou:
Time-dependent structural system reliability analysis model and its efficiency solution. Reliab. Eng. Syst. Saf. 216: 108029 (2021) - [c14]Deyan Peng, Xia Jiang, Qifan Bao, Qingli Li, Li Sun, Mei Zhou, Daoyang Bao, Fei Lou:
Study on Hyperspectral Inversion Model for Water Depth of the Yangtze Estuary Based on Remote Sensing Satellite. CISP-BMEI 2021: 1-5 - [i2]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Distributed algorithm for non-convex stochastic optimization with variance reduction. CoRR abs/2106.14479 (2021) - [i1]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie:
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization. CoRR abs/2111.03820 (2021) - 2020
- [j21]Xia Jiang, Alan Wells, Adam Brufsky, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan:
Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis. BMC Bioinform. 21(1): 298 (2020) - [j20]Yujia Ren, Rong Tang, Xia Jiang:
Three Track Teaching Mode of Sports Anatomy Based on Innovative Theory. Int. J. Emerg. Technol. Learn. 15(24): 75-88 (2020) - [c13]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Hybrid protocol for distributed non-differentiable extended monotropic optimization. ICCA 2020: 654-659 - [c12]Jie He, Lijun Zhang, Xia Jiang:
Needs Analysis of the AR Application in the Packaging Design of Ya'an Tibetan Tea. SPIoT (1) 2020: 765-771
2010 – 2019
- 2019
- [j19]Yujia Ren, Xia Jiang:
A Mind Map Teaching Mode for Sports Anatomy based on 3DBody. Int. J. Emerg. Technol. Learn. 14(10): 4-17 (2019) - [j18]Chunhui Cai, Gregory F. Cooper, Kevin N. Lu, Xiaojun Ma, Shuping Xu, Zhenlong Zhao, Xueer Chen, Yifan Xue, Adrian V. Lee, Nathan Clark, Vicky Chen, Songjian Lu, Lujia Chen, Liyue Yu, Harry Hochheiser, Xia Jiang, Q. Jane Wang, Xinghua Lu:
Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Comput. Biol. 15(7) (2019) - 2018
- [j17]Zexian Zeng, Sasa Espino, Ankita Roy, Xiaoyu Li, Seema A. Khan, Susan E. Clare, Xia Jiang, Richard E. Neapolitan, Yuan Luo:
Using natural language processing and machine learning to identify breast cancer local recurrence. BMC Bioinform. 19-S(17): 65-74 (2018) - [c11]Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen:
Distributed Algorithm for Discrete-Time Lyapunov Equations. ICARCV 2018: 768-773 - 2017
- [j16]Chandramouli Rathnam, Sanghoon Lee, Xia Jiang:
An algorithm for direct causal learning of influences on patient outcomes. Artif. Intell. Medicine 75: 1-15 (2017) - [j15]Yujia Ren, Xia Jiang, Siyuan Tang:
3DBody Software Experimental Platform for Course of Sports Anatomy. Int. J. Emerg. Technol. Learn. 12(9): 4-16 (2017) - 2016
- [j14]Binghuang Cai, Xia Jiang:
Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences. BMC Bioinform. 17: 116 (2016) - [j13]Zexian Zeng, Xia Jiang, Richard E. Neapolitan:
Discovering causal interactions using Bayesian network scoring and information gain. BMC Bioinform. 17: 221 (2016) - [j12]Evgin Göçeri, Zarine K. Shah, Rick R. Layman, Xia Jiang, Metin N. Gurcan:
Quantification of liver fat: A comprehensive review. Comput. Biol. Medicine 71: 174-189 (2016) - [j11]Jessica D. Tenenbaum, Paul Avillach, Marge M. Benham-Hutchins, Matthew K. Breitenstein, Erin L. Crowgey, Mark A. Hoffman, Xia Jiang, Subha Madhavan, John E. Mattison, Radhakrishnan Nagarajan, Bisakha Ray, Dmitriy Shin, Shyam Visweswaran, Zhongming Zhao, Robert R. Freimuth:
An informatics research agenda to support precision medicine: seven key areas. J. Am. Medical Informatics Assoc. 23(4): 791-795 (2016) - 2015
- [j10]Xia Jiang, Richard E. Neapolitan:
Evaluation of a two-stage framework for prediction using big genomic data. Briefings Bioinform. 16(6): 912-921 (2015) - [c10]Bocheng Yu, Mengdi Han, Xia Jiang, Xiangzhi Yin, Haixia Zhang:
A novel discharge system based on jagged electrodes with controllable spacing. NEMS 2015: 525-528 - [c9]Zong-Ming Su, Xiao-Sheng Zhang, Mengdi Han, Xiao-Liang Cheng, Xia Jiang, Xiang-Zhi Yin, Haixia Zhang:
Honeycomb-patterned PDMS membrane based on nanosphere lithography. NEMS 2015: 566-570 - 2014
- [j9]Richard E. Neapolitan, Xia Jiang:
A Note of Caution on Maximizing Entropy. Entropy 16(7): 4004-4014 (2014) - [j8]Binghuang Cai, Xia Jiang:
A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion. J. Biomed. Informatics 48: 114-121 (2014) - [c8]Feng Li, Hong An, Weihao Liang, Xiaoqiang Li, Yichao Cheng, Xia Jiang:
A Compiler Translate Directive-Based Language to Optimized CUDA. HPCC/CSS/ICESS 2014: 982-989 - [c7]Yichao Cheng, Hong An, Zhitao Chen, Feng Li, Zhaohui Wang, Xia Jiang, Yi Peng:
Understanding the SIMD Efficiency of Graph Traversal on GPU. ICA3PP (1) 2014: 42-56 - [c6]Kyle Chard, Ravi K. Madduri, Xia Jiang, Farid Dahi, Michael W. Vannier, Ian T. Foster:
A cloud-based image analysis gateway for traumatic brain injury research. GCE@SC 2014: 13-16 - 2012
- [j7]Yuriy Sverchkov, Xia Jiang, Gregory F. Cooper:
Spatial cluster detection using dynamic programming. BMC Medical Informatics Decis. Mak. 12: 22 (2012) - 2011
- [j6]Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran:
Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinform. 12: 89 (2011) - [j5]Xia Jiang, Bing Wu, YuYue Du:
Architecture of Dynamic Service Composition Using Logic Petri Nets. J. Softw. Eng. Appl. 4(10): 585-589 (2011) - 2010
- [j4]Xia Jiang, Gregory F. Cooper:
A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection. Data Min. Knowl. Discov. 20(3): 328-360 (2010) - [j3]Xia Jiang, Daniel B. Neill, Gregory F. Cooper:
A Bayesian network model for spatial event surveillance. Int. J. Approx. Reason. 51(2): 224-239 (2010) - [j2]Xia Jiang, Gregory F. Cooper:
A Bayesian spatio-temporal method for disease outbreak detection. J. Am. Medical Informatics Assoc. 17(4): 462-471 (2010)
2000 – 2009
- 2009
- [j1]Xia Jiang, Garrick L. Wallstrom, Gregory F. Cooper, Michael M. Wagner:
Bayesian prediction of an epidemic curve. J. Biomed. Informatics 42(1): 90-99 (2009) - [c5]Xia Jiang, Gregory F. Cooper, Daniel B. Neill:
Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. AMIA 2009 - 2008
- [b1]Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten:
Data Mining - Know It All. Morgan Kaufmann 2008, ISBN 978-0-12-374629-0, pp. I-XIII, 1-460 - [p1]Xia Jiang, Michael M. Wagner, Gregory F. Cooper:
Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks. Innovations in Bayesian Networks 2008: 169-185 - 2007
- [c4]Xia Jiang, Gregory F. Cooper:
A Recursive Algorithm for Spatial Cluster Detection. AMIA 2007 - 2006
- [c3]Xia Jiang, Garrick L. Wallstrom:
A Bayesian Network for Outbreak Detection and Prediction. AAAI 2006: 1155-1160 - 2005
- [c2]Qinyu Liu, Xia Jiang, Shang-Ping Xie, W. Timothy Liu:
Sea surface wind and cold tongue over the winter South China Sea. IGARSS 2005: 3294-3297 - 2004
- [c1]Xia Jiang, Tracy Camp:
An information dissemination protocol for an ad hoc network. IPCCC 2004: 337-345
Coauthor Index
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