Improving the Indoor Localization Accuracy for CPS by Reorganizing the Fingerprint Signatures. - Jian Qiu; Xizhe Wang; Guojun Dai (Int. J. Distributed Sens. Networks, 2014)

MDS-based localization scheme for large-scale WSNs within sparse anchor nodes. - Xizhe Wang; Jian Qiu; Jin Fan; Guojun Dai (ICC, 2015)

A Cluster Head Rotation Cooperative MIMO Scheme for Wireless Sensor Networks. - Huaida Hua; Jian Qiu; Shiwei Song; Xizhe Wang; Guojun Dai (WASA, 2015)

Type theory based semantic verification for service composition in cloud computing environments. - Changqin Huang; Xizhe Wang; Dianhui Wang 001 (Inf. Sci., 2018)

An Edge Computing Visual System for Vegetable Categorization. - Chang Liu 033; Xizhe Wang; Jing Ni; Yu Cao 002; Benyuan Liu (ICMLA, 2019)

An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video. - Pengfei Zhang; Xinzi Sun; Dechun Wang; Xizhe Wang; Yu Cao 002; Benyuan Liu (ICTAI, 2019)

Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments. - Xizhe Wang; Pengze Wu; Guang Liu; Qionghao Huang; Xiaoling Hu 004; Haijiao Xu (Computing, 2019)

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment. - Xizhe Wang; Ning Zhang; Jia Wang; Jing Ni; Xinzi Sun; John Zhang; Zitao Liu 005; Yu Cao 002; Benyuan Liu (HealthCom, 2020)

Facial expression recognition with grid-wise attention and visual transformer. - Qionghao Huang; Changqin Huang; Xizhe Wang; Fan Jiang (Inf. Sci., 2021)

Fine-grained learning performance prediction via adaptive sparse self-attention networks. - Xizhe Wang; Xiaoyong Mei; Qionghao Huang; Zhongmei Han; Changqin Huang (Inf. Sci., 2021)

Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries. - Benben Jiang; Xizhe Wang (IEEE Control. Syst. Lett., 2022)

Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person-centered approach. - Jianhui Yu; Changqin Huang; Tao He 007; Xizhe Wang; Linjie Zhang (Educ. Inf. Technol., 2022)

A CNN-Based Disease Detection Framework for Wireless Capsule Endoscopy Videos. - Xizhe Wang; Zhang Zhang; Qilei Chen; Yani Yin; Guanghui Lian; Shuijiao Chen; Xiaowei Liu; Yu Cao 002; Benyuan Liu (HealthCom, 2023)

A Greedy Algorithm-Based Self-Training Pipeline for Expansion of Dental Caries Dataset. - Xizhe Wang; Zhang Zhang; Jing Guo; Peng Zhang; Qilei Chen; Yu Cao 002; Xinwen Fu; Benyuan Liu (HealthCom, 2023)

MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. - Zhang Zhang; Xizhe Wang; Shuijiao Chen; Xiaowei Liu; Qilei Chen; Yizhe Zhang 001; Yu Cao 002; Benyuan Liu (HealthCom, 2023)

A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images. - Xizhe Wang; Jing Guo; Peng Zhang; Qilei Chen; Zhang Zhang; Yu Cao 002; Xinwen Fu; Benyuan Liu (ICONIP (3), 2023)

Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation. - Shiji Zhao; Xizhe Wang; Xingxing Wei (CoRR, 2023)

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation. - Shiji Zhao; Xizhe Wang; Xingxing Wei (CoRR, 2023)

A Novel Intelligent Method for Fault Diagnosis of Steam Turbines Based on T-SNE and XGBoost. - Zhiguo Liang; Lijun Zhang 007; Xizhe Wang (Algorithms, 2023)

Deep Reinforcement Learning-Based Symbolic Regression for PDE Discovery Using Spatio-Temporal Rewards. - Xizhe Wang; Hongbo Zhao 003; Qianchuan Zhao; Benben Jiang (CASE, 2024)

Optimizing Elite Search Strategies: Integrating Enterprise Talent Management Practices into Algorithm Design. - Xizhe Wang; Zehao Wang (ICAICE, 2024)

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation. - Shiji Zhao; Ranjie Duan; Xizhe Wang; Xingxing Wei (NeurIPS, 2024)

ChatPRCS: A Personalized Support System for English Reading Comprehension Based on ChatGPT. - Xizhe Wang; Yihua Zhong; Changqin Huang; Xiaodi Huang (IEEE Trans. Learn. Technol., 2024)

Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries. - Yuhan Hao; Qiugang Lu; Xizhe Wang; Benben Jiang (IEEE Trans. Ind. Informatics, 2024)

Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification. - Chang-Qin Huang; Fan Jiang; Qionghao Huang; Xizhe Wang; Zhongmei Han; Wei-Yu Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation. - Shiji Zhao; Xizhe Wang; Xingxing Wei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-label feature selection via exploring reliable instance similarities. - Cong Guo; Xizhe Wang; Changqin Huang; Yi Wang 022; Chengling Gao; Xiaodi Huang (Knowl. Based Syst., 2025)

Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations. - Xizhe Wang; Benben Jiang (IEEE Trans. Ind. Informatics, 2025)

Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation. - Shiji Zhao; Chi Chen; Ranjie Duan; Xizhe Wang; Xingxing Wei (CoRR, 2025)

A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing. - Qionghao Huang; Lingnuo Lu; Xuemei Wu; Fan Jiang; Xizhe Wang; Xun Wang (CoRR, 2025)

Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation. - Changqin Huang; Chengling Gao; Ming Li 065; Yongzhi Li; Xizhe Wang; Yunliang Jiang; Xiaodi Huang (IEEE Trans. Cybern., 2025)