On an accelerating quasi-newton circular iteration. - Fangyu Sun; Xiangfang Li (Appl. Math. Comput., 1999)

Centralized Power Control in Coordinated CDMA Systems using Krylov Subspace Iterations. - Xiangfang Li; Zoran Gajic (Communications, Internet, and Information Technology, 2002)

Wormhole Attacks Detection in Wireless Ad Hoc Networks: A Statistical Analysis Approach. - Ning Song; Lijun Qian; Xiangfang Li (IPDPS, 2005)

Detecting and locating wormhole attacks in wireless ad hoc networks through statistical analysis of multi-path. - Lijun Qian; Ning Song; Xiangfang Li (WCNC, 2005)

Secure Anonymous Routing in Clustered Multihop Wireless Ad Hoc Networks. - Lijun Qian; Ning Song; Xiangfang Li (CISS, 2006)

Joint Power Control and Proportional Fair Scheduling with Minimum Rate Constraints in Cluster Based MANET. - Lijun Qian; Xiangfang Li; Dhadesugoor R. Vaman; Zoran Gajic (MSN, 2006)

Joint power control and maximally disjoint routing for reliable data delivery in multihop CDMA wireless ad hoc networks. - Lijun Qian; Ning Song; Dhadesugoor R. Vaman; Xiangfang Li; Zoran Gajic (WCNC, 2006)

Power control and proportional fair scheduling with minimum rate constraints in clustered multihop TD/CDMA wireless ad hoc networks. - Lijun Qian; Ning Song; Dhadesugoor R. Vaman; Xiangfang Li; Zoran Gajic (WCNC, 2006)

Power control and scheduling with minimum rate constraints in clustered multihop TD/CDMA wireless ad hoc networks. - Lijun Qian; Dhadesugoor R. Vaman; Xiangfang Li; Zoran Gajic (Wirel. Commun. Mob. Comput., 2006)

Power Control for Cognitive Radio Ad Hoc Networks. - Lijun Qian; Xiangfang Li; John Attia; Zoran Gajic (LANMAN, 2007)

Detection of wormhole attacks in multi-path routed wireless ad hoc networks: A statistical analysis approach. - Lijun Qian; Ning Song; Xiangfang Li (J. Netw. Comput. Appl., 2007)

Downlink power control in co-channel macrocell femtocell overlay. - Xiangfang Li; Lijun Qian; Deepak Kataria (CISS, 2009)

Modeling treatment and drug effects at the molecular level using hybrid system theory. - Xiangfang Li; Lijun Qian; Edward R. Dougherty (CIBCB, 2010)

Assessing the efficacy of molecularly targeted agents by using Kalman filter. - Xiangfang Li; Lijun Qian; Michael L. Bittner; Edward R. Dougherty (GENSiPS, 2011)

Characterization of Drug Efficacy Regions Based on Dosage and Frequency Schedules. - Xiangfang Li; Lijun Qian; Michael L. Bittner; Edward R. Dougherty (IEEE Trans. Biomed. Eng., 2011)

Detection of spectrum congestion in cognitive radio ad hoc networks. - Lijun Qian; CaLynna Sorrells; Xiangfang Li; Deepak Kataria (IEEE ANTS, 2012)

Dynamical modeling of drug effect using hybrid systems. - Xiangfang Li; Lijun Qian; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2012)

Mitigating Uplink interference in femtocell networks with Physical Layer Network coding. - Wasiu Opeyemi Oduola; Lijun Qian; Xiangfang Li; Deepak Kataria (IEEE ANTS, 2013)

Drug effect study on proliferation and survival pathways on cell line-based platform: A stochastic hybrid systems approach. - Xiangfang Li; Lijun Qian; Michael L. Bittner; Edward R. Dougherty (GENSiPS, 2013)

Robust identification of molecularly targeted drug effect coefficient using H∞ filter. - Lijun Qian; Xiangfang Li; Edward R. Dougherty (GlobalSIP, 2013)

Cross-layer detection of stealthy jammers in multihop cognitive radio networks. - Lijun Qian; Xiangfang Li; Shuangqing Wei (ICNC, 2013)

Anomaly Spectrum Usage Detection in Multihop Cognitive Radio Networks: A Cross-Layer Approach. - Lijun Qian; Xiangfang Li; Shuangqing Wei (J. Commun., 2013)

Femtocell as a relay with application of physical layer network coding. - Wasiu Opeyemi Oduola; Lijun Qian; Xiangfang Li (CCNC, 2014)

Sensitivity analysis for drug effect study: An NF-κB pathway example. - Xiangfang Lindsey Li; Sunday Ogedengbe; Lijun Qian; Edward R. Dougherty (GlobalSIP, 2014)

Power control for device-to-device communications as an underlay to cellular system. - Wasiu Opeyemi Oduola; Xiangfang Li; Lijun Qian; Zhu Han 001 (ICC, 2014)

Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors. - Hossein Jafari 002; Xiangfang Li; Lijun Qian; Yuanzhu Chen 001 (Sarnoff Symposium, 2015)

Prediction of the productivity of steam flooding production wells using Gray Relation Analysis and Support Vector Machine. - Jie Fan; Xiangfang Li (J. Comput. Methods Sci. Eng., 2015)

Analysis and control of genetic regulatory systems with switched drug inputs. - Wasiu Opeyemi Oduola; Xiangfang Li; Chang Duan; Lijun Qian; Fen Wu; Edward R. Dougherty (BHI, 2016)

Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study. - Hossein Jafari 002; Xiangfang Li; Lijun Qian (DASC/PiCom/DataCom/CyberSciTech, 2016)

Distributed spectrum monitoring and surveillance using a cognitive radio based testbed. - Oluwaseyi Omotere; Wasiu Opeyemi Oduola; Nan Zou; Xiangfang Li; Lijun Qian; Deepak Kataria (Sarnoff Symposium, 2016)

Closed loop control of blood glucose level with neural network predictor for diabetic patients. - Samuel Oludare Bamgbose; Xiangfang Li; Lijun Qian (Healthcom, 2017)

The flow and heat transfer characteristics of superheated steam in offshore wells and analysis of superheated steam performance. - Fengrui Sun; Yuedong Yao; Xiangfang Li; Pengliang Yu; Guanyang Ding; Ming Zou (Comput. Chem. Eng., 2017)

Multisensor change detection on the basis of big time-series data and Dempster-Shafer theory. - Hossein Jafari 002; Xiangfang Li; Lijun Qian; Alexander J. Aved; Timothy S. Kroecker (Concurr. Comput. Pract. Exp., 2017)

Review of stochastic hybrid systems with applications in biological systems modeling and analysis. - Xiangfang Li; Oluwaseyi Omotere; Lijun Qian; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2017)

Efficient Computing of Dempster-Shafer Theoretic Conditionals for Big Hard/Soft Data Fusion. - Joshua Bassey; Xiangfang Li; Lijun Qian; Alexander J. Aved; Timothy S. Kroecker (FUSION, 2018)

Neural Network Optimized Controller for Motion and Position Control in Autonomous Systems. - Samuel Oludare Bamgbose; Xiangfang Li; Lijun Qian (ICCA, 2018)

A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. - Shanta Chowdhury; Xishuang Dong; Lijun Qian; Xiangfang Li; Yi Guan; Jinfeng Yang; Qiubin Yu (BMC Bioinform., 2018)

Big uncertain data of multiple sensors efficient processing with high order multi-hypothesis: an evidence theoretic approach. - Hossein Jafari 002; Xiangfang Li; Lijun Qian; Alexander J. Aved; Timothy S. Kroecker (Int. J. Big Data Intell., 2018)

Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach. - Wasiu Opeyemi Oduola; Xiangfang Li; Chang Duan; Lijun Qian; Edward R. Dougherty (IEEE Trans. Biomed. Eng., 2018)

Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data. - Shanta Chowdhury; Xishuang Dong; Xiangfang Li (IEEE BigData, 2019)

Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning. - Joshua Bassey; Damilola Adesina; Xiangfang Li; Lijun Qian; Alexander J. Aved; Timothy S. Kroecker (FMEC, 2019)

Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach. - Bo Yang 035; Xuelin Cao; Joshua Bassey; Xiangfang Li; Timothy S. Kroecker; Lijun Qian (ICC, 2019)

An Experimental Study of Multi-Layer Multi-Valued Neural Network. - Joshua Bassey; Xiangfang Li; Lijun Qian (ICDIS, 2019)

Joint Communication and Computing Optimization for Hierarchical Machine Learning Tasks Distribution. - Bo Yang 035; Xuelin Cao; Xiangfang Li; Timothy S. Kroecker; Lijun Qian (ISCC, 2019)

Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. - Shanta Chowdhury; Xishuang Dong; Oscar A. Solis; Lijun Qian; Xiangfang Li (ICMLA, 2020)

Improving Medium Access Efficiency With Intelligent Spectrum Learning. - Bo Yang 035; Xuelin Cao; Oluwaseyi Omotere; Xiangfang Li; Zhu Han 001; Lijun Qian (IEEE Access, 2020)

Neural network-based non-linear adaptive controller design for a class of bilinear system. - Samuel Oludare Bamgbose; Xiangfang Li; Lijun Qian (Cogn. Comput. Syst., 2020)

Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. - Xishuang Dong; Shanta Chowdhury; Uboho Victor; Xiangfang Li; Lijun Qian (CoRR, 2020)

Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT. - Bo Yang 035; Xuelin Cao; Xiangfang Li; Qinqing Zhang; Lijun Qian (IEEE Internet Things J., 2020)

Lessons Learned From Accident of Autonomous Vehicle Testing: An Edge Learning-Aided Offloading Framework. - Bo Yang 035; Xuelin Cao; Xiangfang Li; Chau Yuen; Lijun Qian (IEEE Wirel. Commun. Lett., 2020)

A Survey of Complex-Valued Neural Networks. - Joshua Bassey; Lijun Qian; Xiangfang Li (CoRR, 2021)

Semi-supervised Learning for COVID-19 Image Classification via ResNet. - Lucy Nwuso; Xiangfang Li; Lijun Qian; Seungchan Kim; Xishuang Dong (CoRR, 2021)

Device Authentication Codes based on RF Fingerprinting using Deep Learning. - Joshua Bassey; Xiangfang Li; Lijun Qian (EAI Endorsed Trans. Security Safety, 2021)

Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach. - Bo Yang 035; Xuelin Cao; Joshua Bassey; Xiangfang Li; Lijun Qian (IEEE Trans. Mob. Comput., 2021)

Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. - Lucy Nwosu; Xiangfang Li; Lijun Qian; Seungchan Kim; Xishuang Dong (CoRR, 2022)

Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation. - Taoreed Akinola; Xiangfang Li; Richard Wilkins; Pamela Obiomon; Lijun Qian (IPDPS Workshops, 2023)

Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data. - Xishuang Dong; Shanta Chowdhury; Uboho Victor; Xiangfang Li; Lijun Qian (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image. - Jaelen Tarry; Xishuang Dong; Xiangfang Li; Lijun Qian; Leah Chance; Philip Morrone (ICSC, 2024)

Robust Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation. - Taoreed Akinola; Xiangfang Li; Richard Wilkins; Pamela Obiomon; Lijun Qian (IEEE Access, 2024)

Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning. - Ming Kuo; Shouvon Sarker; Lijun Qian; Yujian Fu; Xiangfang Li; Xishuang Dong (CoRR, 2024)

Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement. - Shouvon Sarker; Xishuang Dong; Xiangfang Li; Lijun Qian (CoRR, 2024)

Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities. - Ming-Mu Kuo; Xiangfang Li; Lijun Qian; Pamela Obiomon; Xishuang Dong (CoRR, 2024)

DisComp: A Two-Stage Prompt Optimization Framework Combining Task-Agnostic and Task-Aware Compression. - Quancai Liu; Haihui Fan; Jinchao Zhang 002; Xiangfang Li; Chuanrong Li; Bo Li 063 (NAACL (Findings), 2025)

Tracing Student Learning Outcome at Historically Black Colleges and Universities via Deep Knowledge Tracing. - Ming-Mu Kuo; Xiangfang Li; Pamela Obiomon; Lijun Qian; Xishuang Dong (IEEE Access, 2025)

Improving Student Learning Outcome Tracing at HBCUs Using Tabular Generative AI and Deep Knowledge Tracing. - Ming-Mu Kuo; Xiangfang Li; Pamela Obiomon; Lijun Qian; Xishuang Dong (IEEE Access, 2025)