A Process Model for Forensic Analysis of Symbian Smart Phones. - Xian Yu; Liehui Jiang; Hui Shu; Qing Yin; Tie-Ming Liu (FGIT-ASEA, 2009)

ARM Static Library Identification Framework. - Qing Yin; Fei Huang; Liehui Jiang (J. Softw., 2010)

Analysis of Cryptographic Algorithms' Characters in Binary File. - Ji-zhong Li; Qing Yin; Liehui Jiang; Xin-Hai Jia (PDCAT, 2012)

A Novel Method of APK-Based Automated Execution and Traversal with a Trusted Execution Environment. - Rui Chang; Liehui Jiang; Qing Yin; Wei Liu; Shengqiao Zhang (CIS, 2016)

An Effective Usage and Access Control Scheme for Preventing Permission Leak in a Trusted Execution Environment. - Rui Chang; Liehui Jiang; Qing Yin; Lu Ren; Qingfeng Liu (ICCNS, 2016)

Using the B Method to Formalize Access Control Mechanism with TrustZone Hardware Isolation (Short Paper). - Lu Ren; Rui Chang; Qing Yin; Wei Wang (ISPEC, 2017)

A Formal Android Permission Model Based on the B Method. - Lu Ren; Rui Chang; Qing Yin; Yujia Man (SpaCCS, 2017)

Semi-interactive Attention Network for Answer Understanding in Reverse-QA. - Qing Yin; Guan Luo; Xiaodong Zhu; Qinghua Hu; Ou Wu (PAKDD (2), 2019)

Deep Human Answer Understanding for Natural Reverse QA. - Rujing Yao; Linlin Hou; Lei Yang; Jie Gui; Qing Yin; Ou Wu (CoRR, 2019)

Resource Scheduling and Strategic Management of Smart Cities under the Background of Digital Economy. - Qing Yin; Gang Liu (Complex., 2020)

Sentiment analysis via dually-born-again network and sample selection. - Pinlong Zhao; Zefeng Han; Qing Yin; Shuxiao Li; Ou Wu (Intell. Data Anal., 2020)

Function Layout of Adaptive Aging Population Kitchen Design Based on Trace Observation. - Meilin Chen; Canqun He; Mengyao Wang; Qing Yin; Yun Wang (AHFE (3), 2021)

Label-dependent and event-guided interpretable disease risk prediction using EHRs. - Shuai Niu; Yunya Song; Qing Yin; Yike Guo; Xian Yang 001 (BIBM, 2021)

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. - Shuai Niu; Qing Yin; Yunya Song; Yike Guo; Xian Yang 001 (ICDM, 2021)

Mitigating sentimental bias via a polar attention mechanism. - Tao Yang 033; Rujing Yao; Qing Yin; Qiang Tian; Ou Wu (Int. J. Data Sci. Anal., 2021)

Improving Deep Embedded Clustering via Learning Cluster-level Representations. - Qing Yin; Zhihua Wang 008; Yunya Song; Richard Yida Xu; Shuai Niu; Liang Bai; Yike Guo; Xian Yang 001 (COLING, 2022)

Aspect-Based Sentiment Analysis with New Target Representation and Dependency Attention. - Tao Yang 033; Qing Yin; Lei Yang; Ou Wu (IEEE Trans. Affect. Comput., 2022)

Sliding Window GBDT for Electricity Demand Forecasting. - Qing Yin; Chengyu Sun; Min Cao; Yong Duan; Rongrong Jia; Wenjin Yu; Xin Yi; Lu Yin; Jiangsheng Huang; Zhihong Zhang (ICIC (4), 2023)

Hybrid CNN-LSTM Model for Multi-industry Electricity Demand Prediction. - Haitao Zhang; Yuxing Dai; Qing Yin; Xin He; Jian Ju; Haotian Zheng; Fengling Shen; Wenjuan Guo; Jinhu Li; Zhihong Zhang; Yong Duan (ICIC (5), 2023)

RTANet: Recommendation Target-Aware Network Embedding. - Qimeng Cao; Qing Yin; Yunya Song; Zhihua Wang 008; Yujun Chen; Richard Yi Da Xu; Xian Yang 001 (ICWSM, 2023)

Beam Detection Based on Machine Learning Algorithms. - Haoyuan Li; Qing Yin (CoRR, 2023)

Purpose tendency-aware diversified strategy for effective session-based recommendation. - Qing Yin; Danning Zhang; Hui Fang 002; Zhu Sun 001 (Electron. Commer. Res. Appl., 2023)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation. - Qing Yin; Hui Fang 002; Zhu Sun 001; Yew-Soon Ong (CoRR, 2024)

Enhancing healthcare decision support through explainable AI models for risk prediction. - Shuai Niu; Qing Yin; Jing Ma 004; Yunya Song; Yida Xu; Liang Bai; Wei Pan 004; Xian Yang 001 (Decis. Support Syst., 2024)

Improved PageRank and New Indices for Academic Impact Evaluation Using AI Papers as Case Studies. - Rui Wang; Shijie Li; Qing Yin; Ji Zhang; Rujing Yao; Ou Wu (J. Inf. Sci., 2024)

Understanding Diversity in Session-based Recommendation. - Qing Yin; Hui Fang 002; Zhu Sun 001; Yew-Soon Ong (ACM Trans. Inf. Syst., 2024)

A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare. - Shuai Niu; Jing Ma 004; Qing Yin; Liang Bai; Chen Li; Xian Yang 001 (Ann. Oper. Res., 2024)

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies. - Shuai Niu; Jing Ma 004; Qing Yin; Zhihua Wang 008; Liang Bai; Xian Yang 001 (Inf. Syst. Frontiers, 2025)

A decision support system in precision medicine: contrastive multimodal learning for patient stratification. - Qing Yin; Linda Zhong; Yunya Song; Liang Bai; Zhihua Wang 008; Chen Li; Yida Xu; Xian Yang 001 (Ann. Oper. Res., 2025)