The Research of Target Identification Based on Neural Network and D-S Evidence Theory. - Yulan Hu; Xiaojing Fan; Huijing Zhao; Bing Hu (CAR, 2009)

HLLS: A History Information Based Light Location Service for MANETs. - Xiaojing Fan; Xinyu Yang 001; Wei Yu 002; Xinwen Fu (ICC, 2010)

An Improved Common Hopping Multiple Access protocol for smart meter wireless networks. - Xiaojing Fan; Hao Wang; Jun Tian (IWCMC, 2012)

HLLS: A History information based Light Location Service for MANETs. - Xinyu Yang 001; Xiaojing Fan; Wei Yu 002; Xinwen Fu; Shusen Yang (Comput. Networks, 2012)

Machine Learning Based Channel Error Diagnostics in Wireless Sensor Networks. - Su Yi; Hao Wang; Jun Tian; Wenqian Xue; Leifei Wang; Xiaojing Fan; Ryuichi Matsukura (VTC Spring, 2017)

Research on text feature clustering based on improved parallel genetic algorithm. - Mingyang Jiang; Xiaojing Fan; Zhili Pei; Zhifeng Zhang (ICACI, 2018)

Interference Source Identification for IEEE 802.15.4 wireless Sensor Networks Using Deep Learning. - Su Yi; Hao Wang; Wenqian Xue; Xiaojing Fan; Lefei Wang; Jun Tian; Ryuichi Matsukura (PIMRC, 2018)

Text classification based on deep belief network and softmax regression. - Mingyang Jiang; Yanchun Liang 001; Xiaoyue Feng; Xiaojing Fan; Zhili Pei; Yu Xue 003; Renchu Guan (Neural Comput. Appl., 2018)

User-Specified Optimization Based Transformation of Fuzzy Membership Into Basic Belief Assignment. - Xiaojing Fan; Deqiang Han; Jean Dezert; Yi Yang 008 (FUSION, 2019)

Multisensor Fusion Method Based on the Belief Entropy and DS Evidence Theory. - Xiaojing Fan; Yinjing Guo; Yuanyuan Ju; Jiankang Bao; Wenhong Lyu (J. Sensors, 2020)

Method of Basic Belief Assignment Determination Based on Density Estimation of Ambiguous Samples. - Wei Li; Deqiang Han; Xiaojing Fan; Bo Dong (FUSION, 2021)

Learning-based BBA Modeling Method with Attribute Interval Number. - Ke He; Deqiang Han; Xiaojing Fan; Yi Yang 008; Bo Dong (ICCAIS, 2021)

Evidence Combination Based on Belief Interval. - Hengliang Yan; Deqiang Han; Bo Dong; Xiaojing Fan; Yi Yang 008 (ICCAIS, 2021)

An Improved Stacked Autoencoder for Metabolomic Data Classification. - Xiaojing Fan; Xiye Wang; Mingyang Jiang; Zhili Pei; Shicheng Qiao (Comput. Intell. Neurosci., 2021)

A Novel Feature Selection Method Based on Ambiguity Distribution. - Wei Li; Deqiang Han; Xiaojing Fan; Yi Yang 008 (ASCC, 2022)

Can Embedded Real-Time Linux System Effectively Support Multipath Transmission? An Experimental Study. - Xiaojing Fan; Tao Zheng; Shangpeng Sun; Mikael Gidlund; Johan Åkerberg (WFCS, 2023)

Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review. - Ching-Hung Lee; Chang Wang; Xiaojing Fan; Fan Li 015; Chun-Hsien Chen (Adv. Eng. Informatics, 2023)

Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness. - Xiaojing Fan; Chunliang Tao (AICCC, 2024)

Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting. - Xiaojing Fan; Chunliang Tao; Jianyu Zhao (ISCMI, 2024)

Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation. - Chunliang Tao; Xiaojing Fan; Yahe Yang (CoRR, 2024)

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning. - Yahe Yang; Chunliang Tao; Xiaojing Fan (CoRR, 2024)

Deep learning-based metabolomics data study of prostate cancer. - Liqiang Sun; Xiaojing Fan; Yunwei Zhao; Qi Zhang; Mingyang Jiang (BMC Bioinform., 2024)

Knowledge-Driven Rapid Adaptation to New Attacks. - Weilin Wang; Huachun Zhou; Jingfu Yan; Xiaojing Fan (IEEE Trans. Cogn. Commun. Netw., 2025)