Optimization of Bit Rate Adaptation in UMTS Radio Access Network. - Xi Li 002; Linna Wang; Andreas Timm-Giel; Carmelita Görg; Richard Schelb; T. Winter (VTC Spring, 2007)

Simulation Study on the Keep-Right-Except-to-Pass Rule Model Based on Cellular Automata. - Xin Yang; Linna Wang; Hongbo Zai; Yanrong Ren (CIS, 2014)

Gesture Recognition Based on Deep Belief Networks. - Yunqi Miao; Linna Wang; Chunyu Xie; Baochang Zhang 001 (CCBR, 2017)

Quantitative composite decision-theoretic rough set. - Linna Wang; Ling Liu; Xin Yang; Pan Zhuo (ISKE, 2017)

Helping Forensic Analysts to Attribute Cyber-Attacks: An Argumentation-Based Reasoner. - Erisa Karafili; Linna Wang; Antonis C. Kakas; Emil Lupu (PRIMA, 2018)

Dynamic composite decision-theoretic rough set under the change of attributes. - Linna Wang; Xin Yang 012; Yong Chen; Ling Liu; Shiyong An; Pan Zhuo (Int. J. Comput. Intell. Syst., 2018)

Adaptive multiclass correlation filters and its applications in the time series recognition. - Linlin Yang; Ce Li 002; Chunyu Xie; Linna Wang; Baochang Zhang 001 (J. Electronic Imaging, 2018)

监督邻域粗糙集 (Supervised Neighborhood Rough Set). - Linna Wang; Xin Yang 012; Xibei Yang (计算机科学, 2018)

An Argumentation-Based Approach to Assist in the Investigation and Attribution of Cyber-Attacks. - Erisa Karafili; Linna Wang; Emil C. Lupu (CoRR, 2019)

An Argumentation-Based Reasoner to Assist Digital Investigation and Attribution of Cyber-Attacks. - Erisa Karafili; Linna Wang; Emil C. Lupu (Digit. Investig., 2020)

Machine Learning-based Prediction of Postoperative 30-days Mortality. - Linna Wang; Linji Li; Tao Zhu; Congli Ma; Li Lu (CSAE, 2021)

Computing-aware Proactive Network Reconfiguration for Optical Networks Interconnected Edge Computing System. - Zhekang Li; Rentao Gu; Linna Wang; Yuefeng Ji (OFC, 2021)

Self-training with one-shot stepwise learning method for person re-identification. - Daoxun Xia; Haojie Liu; Lili Xu; Jiawen Li; Linna Wang (Concurr. Comput. Pract. Exp., 2021)

Visible-infrared person re-identification with data augmentation via cycle-consistent adversarial network. - Daoxun Xia; Haojie Liu; Lili Xu; Linna Wang (Neurocomputing, 2021)

Confidence graphs for graphical model selection. - Linna Wang; Yichen Qin; Yang Li 070 (Stat. Comput., 2021)

Active Authorization Control of Deep Models Using Channel Pruning. - Linna Wang; Yunfei Song; Yujia Zhu; Daoxun Xia (ChineseCSCW (2), 2022)

Meta-transfer Learning for Person Re-identification in Aerial Imagery. - Lili Xu; Houfu Peng; Linna Wang; Daoxun Xia (ChineseCSCW (2), 2022)

CARE-30: A Causally Driven Multi-Modal Model for Enhanced 30-Day ICU Readmission Predictions. - Linna Wang; Leyi Zhao; Zhanpeng Luo; Xuan Wang; Ziliang Feng; Li Lu (BIBM, 2023)

CFNet: Point Cloud Upsampling via Cascaded Feedback Network. - Xuan Wang; Yi Li; Linna Wang; Li Lu (ICANN (1), 2023)

An improved target detection algorithm applied to domestic edge computing module. - Junnan Li 010; Siyuan Hong; Xiying Chen; Chuan Ai; Liang Fan; Yanping Ke; Linna Wang (ICCEIC, 2023)

A framework for deep neural network multiuser authorization based on channel pruning. - Linna Wang; Yunfei Song; Yujia Zhu; Daoxun Xia; Guoquan Han (Concurr. Comput. Pract. Exp., 2023)

Visualization and assessment of model selection uncertainty. - Yichen Qin; Linna Wang; Yang Li 070; Rong Li (Comput. Stat. Data Anal., 2023)

Deep neural network watermarking based on a reversible image hiding network. - Linna Wang; Yunfei Song; Daoxun Xia (Pattern Anal. Appl., 2023)

Design of smart city environment monitoring and optimisation system based on NB-IoT technology. - Linna Wang; Hongxue Yang (Int. J. Inf. Commun. Technol., 2024)

A dynamic performance assessment of coordinated control system of small pressurized water reactor based on uncertainty quantification and sensitivity analysis. - Chuqi Chen; Zheng Li; Xiaoyu Li; Linna Wang; Wenjie Zeng (Reliab. Eng. Syst. Saf., 2025)

Imagine with the Teacher: Complete Shape in a Multi-View Distillation Way. - Zhanpeng Luo; Linna Wang; Guangwu Qian; Li Lu (CoRR, 2025)

LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting. - Chengqiu Dai; Linna Wang; Yingwei Deng; Xuzhu Gao; Jingyu Zhang (BMC Bioinform., 2025)

CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction. - Linna Wang; Xinyu Guo; Haoyue Shi 004; Yuehang Ma; Han Bao; Lihua Jiang; Li Zhao; Ziliang Feng; Tao Zhu; Li Lu (BMC Medical Informatics Decis. Mak., 2025)