An information dissemination protocol for an ad hoc network. - Xia Jiang; Tracy Camp (IPCCC, 2004)

Sea surface wind and cold tongue over the winter South China Sea. - Qinyu Liu; Xia Jiang; Shang-Ping Xie; W. Timothy Liu (IGARSS, 2005)

A Bayesian Network for Outbreak Detection and Prediction. - Xia Jiang; Garrick L. Wallstrom (AAAI, 2006)

A Recursive Algorithm for Spatial Cluster Detection. - Xia Jiang; Gregory F. Cooper (AMIA, 2007)

Data Mining - Know It All. - Soumen Chakrabarti; Earl Cox; Eibe Frank; Ralf Hartmut Güting; Jiawei Han 001; Xia Jiang; Micheline Kamber; Sam Lightstone; Thomas P. Nadeau; Richard E. Neapolitan; Dorian Pyle; Mamdouh Refaat; et al. (Morgan Kaufmann, 2008)

Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks. - Xia Jiang; Michael M. Wagner 001; Gregory F. Cooper (Innovations in Bayesian Networks, 2008)

Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. - Xia Jiang; Gregory F. Cooper; Daniel B. Neill (AMIA, 2009)

Bayesian prediction of an epidemic curve. - Xia Jiang; Garrick L. Wallstrom; Gregory F. Cooper; Michael M. Wagner 001 (J. Biomed. Informatics, 2009)

A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection. - Xia Jiang; Gregory F. Cooper (Data Min. Knowl. Discov., 2010)

A Bayesian network model for spatial event surveillance. - Xia Jiang; Daniel B. Neill; Gregory F. Cooper (Int. J. Approx. Reason., 2010)

A Bayesian spatio-temporal method for disease outbreak detection. - Xia Jiang; Gregory F. Cooper (J. Am. Medical Informatics Assoc., 2010)

Learning genetic epistasis using Bayesian network scoring criteria. - Xia Jiang; Richard E. Neapolitan; M. Michael Barmada; Shyam Visweswaran (BMC Bioinform., 2011)

Architecture of Dynamic Service Composition Using Logic Petri Nets. - Xia Jiang; Bing Wu; YuYue Du (J. Softw. Eng. Appl., 2011)

Spatial cluster detection using dynamic programming. - Yuriy Sverchkov; Xia Jiang; Gregory F. Cooper (BMC Medical Informatics Decis. Mak., 2012)

A Compiler Translate Directive-Based Language to Optimized CUDA. - Feng Li; Hong An; Weihao Liang; Xiaoqiang Li; Yichao Cheng; Xia Jiang (HPCC/CSS/ICESS, 2014)

Understanding the SIMD Efficiency of Graph Traversal on GPU. - Yichao Cheng; Hong An; Zhitao Chen; Feng Li; Zhaohui Wang; Xia Jiang; Yi Peng (ICA3PP (1), 2014)

A cloud-based image analysis gateway for traumatic brain injury research. - Kyle Chard; Ravi K. Madduri; Xia Jiang; Farid Dahi; Michael W. Vannier; Ian T. Foster (GCE@SC, 2014)

A Note of Caution on Maximizing Entropy. - Richard E. Neapolitan; Xia Jiang (Entropy, 2014)

A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion. - Binghuang Cai; Xia Jiang (J. Biomed. Informatics, 2014)

Honeycomb-patterned PDMS membrane based on nanosphere lithography. - Zong-Ming Su; Xiao-Sheng Zhang; Mengdi Han; Xiao-Liang Cheng; Xia Jiang; Xiang-Zhi Yin; Haixia Zhang 002 (NEMS, 2015)

A novel discharge system based on jagged electrodes with controllable spacing. - Bocheng Yu; Mengdi Han; Xia Jiang; Xiangzhi Yin; Haixia Zhang 002 (NEMS, 2015)

Evaluation of a two-stage framework for prediction using big genomic data. - Xia Jiang; Richard E. Neapolitan (Briefings Bioinform., 2015)

Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences. - Binghuang Cai; Xia Jiang (BMC Bioinform., 2016)

Discovering causal interactions using Bayesian network scoring and information gain. - Zexian Zeng; Xia Jiang; Richard E. Neapolitan (BMC Bioinform., 2016)

Quantification of liver fat: A comprehensive review. - Evgin Göçeri; Zarine K. Shah; Rick R. Layman; Xia Jiang; Metin N. Gurcan (Comput. Biol. Medicine, 2016)

An informatics research agenda to support precision medicine: seven key areas. - 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; et al. (J. Am. Medical Informatics Assoc., 2016)

An algorithm for direct causal learning of influences on patient outcomes. - Chandramouli Rathnam; Sanghoon Lee; Xia Jiang (Artif. Intell. Medicine, 2017)

3DBody Software Experimental Platform for Course of Sports Anatomy. - Yujia Ren; Xia Jiang; Siyuan Tang (Int. J. Emerg. Technol. Learn., 2017)

Distributed Algorithm for Discrete-Time Lyapunov Equations. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (ICARCV, 2018)

Using natural language processing and machine learning to identify breast cancer local recurrence. - Zexian Zeng; Sasa Espino; Ankita Roy; Xiaoyu Li 006; Seema A. Khan; Susan E. Clare; Xia Jiang; Richard E. Neapolitan; Yuan Luo 001 (BMC Bioinform., 2018)

A Mind Map Teaching Mode for Sports Anatomy based on 3DBody. - Yujia Ren; Xia Jiang (Int. J. Emerg. Technol. Learn., 2019)

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. - 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; et al. (PLoS Comput. Biol., 2019)

Hybrid protocol for distributed non-differentiable extended monotropic optimization. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (ICCA, 2020)

Needs Analysis of the AR Application in the Packaging Design of Ya'an Tibetan Tea. - Jie He; Lijun Zhang; Xia Jiang (SPIoT (1), 2020)

Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis. - Xia Jiang; Alan Wells; Adam Brufsky; Darshan Shetty; Kahmil Shajihan; Richard E. Neapolitan (BMC Bioinform., 2020)

Three Track Teaching Mode of Sports Anatomy Based on Innovative Theory. - Yujia Ren; Rong Tang; Xia Jiang (Int. J. Emerg. Technol. Learn., 2020)

Study on Hyperspectral Inversion Model for Water Depth of the Yangtze Estuary Based on Remote Sensing Satellite. - Deyan Peng; Xia Jiang; Qifan Bao; Qingli Li; Li Sun 012; Mei Zhou; Daoyang Bao; Fei Lou (CISP-BMEI, 2021)

Distributed algorithm for non-convex stochastic optimization with variance reduction. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (CoRR, 2021)

Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003; Lihua Xie 001 (CoRR, 2021)

Time-dependent structural system reliability analysis model and its efficiency solution. - Yingshi Hu; Zhenzhou Lu; Xia Jiang; Ning Wei; Changcong Zhou (Reliab. Eng. Syst. Saf., 2021)

Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. - Chenyu Li; Israel Dilan-Pantojas; Shyam Visweswaran; Michael J. Becich; Xia Jiang; Richard D. Boyce (AMIA, 2022)

Distributed stochastic projection-free solver for constrained optimization. - Xia Jiang; Xianlin Zeng; Lihua Xie 001; Jian Sun 003; Jie Chen 003 (CoRR, 2022)

Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: a random search approach. - Xia Jiang; Jian Zhang; Xiaoyu Shi; Jian Cheng (CoRR, 2022)

Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach. - Xia Jiang; Jian Zhang; Dan Li (CoRR, 2022)

Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis. - Chuhan Xu; Pablo Coen-Pirani; Xia Jiang (CoRR, 2022)

iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction and Deep Learning. - Chuhan Xu; Xia Jiang (CoRR, 2022)

A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003; Yue Wei (IEEE CAA J. Autom. Sinica, 2022)

Distributed Solver for Discrete-Time Lyapunov Equations Over Dynamic Networks With Linear Convergence Rate. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (IEEE Trans. Cybern., 2022)

A BDS/GPS Integrated Positioning Algorithm Based On Kalman Filter and Deep Neural Networks. - Xia Jiang; Qingli Li; Decheng Wei (CISP-BMEI, 2023)

Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL). - Chenyu Li; Xia Jiang (CoRR, 2023)

Variance-Reduced Shuffling Gradient Descent With Momentum for Finite-Sum Minimization. - Xia Jiang; Xianlin Zeng; Lihua Xie 001; Jian Sun 003 (IEEE Control. Syst. Lett., 2023)

An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting. - Zongxi Qu; Yutong Li; Xia Jiang; Chunhua Niu (Expert Syst. Appl., 2023)

Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text. - Huanyu Li 012; Peng Zhang; Zikun Wei; Tian Qian; Yiqi Tang; Kun Hu; Xianqiong Huang; Xinxin Xia; Yishuang Zhang; Haixing Cheng; Fubing Yu; Wenjia Zhang; et al. (Frontiers Artif. Intell., 2023)

Distributed Synchronous and Asynchronous Algorithms for Semidefinite Programming With Diagonal Constraints. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (IEEE Trans. Autom. Control., 2023)

Learning the Policy for Mixed Electric Platoon Control of Automated and Human-Driven Vehicles at Signalized Intersection: A Random Search Approach. - Xia Jiang; Jian Zhang 011; Xiaoyu Shi; Jian Cheng (IEEE Trans. Intell. Transp. Syst., 2023)

Distributed Proximal Gradient Algorithm for Nonconvex Optimization Over Time-Varying Networks. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (IEEE Trans. Control. Netw. Syst., 2023)

Distributed Stochastic Gradient Tracking Algorithm With Variance Reduction for Non-Convex Optimization. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

An efficient hierarchical fuzzy simulation method for estimating failure possibility. - Xia Jiang; Zhenzhou Lu; Kaixuan Feng (Eng. Comput., 2023)

Influence mechanism of consumers' characteristics on impulsive purchase in E-commerce livestream marketing. - Fengyi Deng; Yajun Lin; Xia Jiang (Comput. Hum. Behav., 2023)

Augmented contour scoring snake for instance segmentation of placental separable villi. - Yiming Liu; Xiang Tao; Yan Wang 033; Xia Jiang; Maxim Sergeevich Vonsky; Lubov Borisovna Mitrofanova; Qingli Li (Biomed. Signal Process. Control., 2024)

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. - Xia Jiang; Yijun Zhou; Chuhan Xu; Adam Brufsky; Alan Wells (CoRR, 2024)

UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model. - Xia Jiang; Yaoxin Wu; Yuan Wang; Yingqian Zhang 001 (CoRR, 2024)

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. - Yijun Zhou; Om Arora-Jain; Xia Jiang (CoRR, 2024)

Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9. - Xia Jiang; Yijun Zhou; Alan Wells; Adam Brufsky (CoRR, 2024)

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems. - Xia Jiang; Linglingzhi Zhu; Anthony Man-Cho So; Shisheng Cui; Jian Sun 003 (CoRR, 2024)

Importance sampling enhanced by adaptive two-stage Kriging model and active subspace for analyzing rare probability with high dimensional input vector. - Yingshi Hu; Zhenzhou Lu; Ning Wei; Xia Jiang (Reliab. Eng. Syst. Saf., 2024)

An efficient method for estimating failure possibility function by combining adaptive Kriging model with augmented fuzzy simulation. - Xia Jiang; Zhenzhou Lu (Eng. Comput., 2024)

A novel quantile-based sequential optimization and reliability assessment method for safety life analysis. - Xia Jiang; Zhenzhou Lu (Reliab. Eng. Syst. Saf., 2024)

Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization. - Xia Jiang; Xianlin Zeng; Jian Sun 003; Jie Chen 003; Lihua Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A new learning function for estimating time-dependent failure possibility under fuzzy uncertainty. - Hanying Li; Zhenzhou Lu; Xia Jiang; Yixin Lu (Eng. Comput., 2024)

Impacts of Climatic Fluctuations and Vegetation Greening on Regional Hydrological Processes: A Case Study in the Xiaoxinganling Mountains-Sanjiang Plain Region, Northeastern China. - Chi Xu; Zhijie Zhang 002; Zhenghui Fu; Shenqing Xiong; Hao Chen 033; Wanchang Zhang 001; Shuhang Wang; Donghui Zhang; Heng Lu 004; Xia Jiang (Remote. Sens., 2024)

An Efficient Safety Life Analysis Method Under Required Failure Possibility Constraint by SK-FS-Based Dichotomy. - Xia Jiang; Zhenzhou Lu; Yingshi Hu (Int. J. Fuzzy Syst., 2024)

Single-Loop Variance-Reduced Stochastic Algorithm for Nonconvex-Concave Minimax Optimization. - Xia Jiang; Linglingzhi Zhu; Taoli Zheng; Anthony Man-Cho So (ICASSP, 2025)

DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints. - Xia Jiang; Yaoxin Wu; Chenhao Zhang; Yingqian Zhang 001 (ICLR, 2025)

Variance-reduced reshuffling gradient descent for nonconvex optimization: Centralized and distributed algorithms. - Xia Jiang; Xianlin Zeng; Lihua Xie 001; Jian Sun 003; Jie Chen 003 (Autom., 2025)

Inexact proximal gradient algorithm with random reshuffling for nonsmooth optimization. - Xia Jiang; Yanyan Fang; Xianlin Zeng; Jian Sun 003; Jie Chen 003 (Sci. China Inf. Sci., 2025)

A discontinuous Galerkin method for the Brinkman-Darcy-transport problem. - Xia Jiang; Rui Li; Zhangxin Chen (J. Comput. Appl. Math., 2025)

DSDNet: Target Detection Algorithm for SDSS Photometric Images Based on Convolutional Neural Networks. - Ziyi Zhang; Bo Qiu; Xia Jiang; Ali Luo; Fuji Ren (IEEE Signal Process. Lett., 2025)

Distributed Stochastic Projection-Free Algorithm for Constrained Optimization. - Xia Jiang; Xianlin Zeng; Lihua Xie 001; Jian Sun 003; Jie Chen 003 (IEEE Trans. Autom. Control., 2025)