Exploring Body Constitution in Traditional Chinese Medicine with K-Means Clustering. - Yinglong Dai; Yinong Long; Xiaofei Xing; Guojun Wang 001 (APSCC, 2016)

Building Bayesian Inference Graphs for Healthcare Statistic Evidence. - Yinglong Dai; Wenjun Jiang; Guojun Wang 001 (ICPP Workshops, 2016)

Using Deep Neural Networks to Simulate Human Body. - Yinglong Dai; Guojun Wang 001; Sihong Chen; Dongqing Xie; Shuhong Chen (ISPA/IUCC, 2017)

Building deep architectures for traditional chinese medicine diagnosis. - Yinglong Dai; Guojun Wang 001; Sihong Chen; Xiaofei Xing (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Package balancing k-means algorithm for physical distribution. - Yinglong Dai; Wang Yang; Guojun Wang 001 (Int. J. Comput. Sci. Eng., 2017)

A Body Simulator with Delayed Health State Transition. - Yinglong Dai; Xiangyong Liu; Guojun Wang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder. - Yinglong Dai; Guojun Wang 001 (IEEE Access, 2018)

Conceptual alignment deep neural networks. - Yinglong Dai; Guojun Wang 001; Kuan-Ching Li (J. Intell. Fuzzy Syst., 2018)

A Simple Analysis of Multimodal Data Fusion. - Jiangchang Cheng; Yinglong Dai; Yao Yuan; Hongli Zhu (TrustCom, 2020)

A multimodal deep architecture for traditional Chinese medicine diagnosis. - Yinglong Dai; Guojun Wang 001; Jianhua Dai; Oana Geman (Concurr. Comput. Pract. Exp., 2020)

A deep inference learning framework for healthcare. - Yinglong Dai; Guojun Wang 001 (Pattern Recognit. Lett., 2020)

Skill Reward for Safe Deep Reinforcement Learning. - Jiangchang Cheng; Fumin Yu; Hongliang Zhang 004; Yinglong Dai (UbiSec, 2021)

A Backdoor Embedding Method for Backdoor Detection in Deep Neural Networks. - Meirong Liu; Hong Zheng; Qin Liu 001; Xiaofei Xing; Yinglong Dai (UbiSec, 2021)

Construction of Double-Precision Wisdom Teaching Framework Based on Blockchain Technology in Cloud Platform. - Shukun Liu; Yinglong Dai; Zuowei Cai; Xianmin Pan; Chaoliang Li (IEEE Access, 2021)

Hierarchical Policies of Subgoals for Safe Deep Reinforcement Learning. - Fumin Yu; Feng Gao; Yao Yuan; Xiaofei Xing; Yinglong Dai (UbiSec, 2022)

A closed-loop healthcare processing approach based on deep reinforcement learning. - Yinglong Dai; Guojun Wang 001; Khan Muhammad 001; Shuai Liu 002 (Multim. Tools Appl., 2022)

An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction. - Yinglong Dai; Feng Gao; Daojian Zeng (ICONIP (12), 2023)

Interpreting a deep reinforcement learning model with conceptual embedding and performance analysis. - Yinglong Dai; Haibin Ouyang; Hong Zheng; Han Long; Xiaojun Duan (Appl. Intell., 2023)

Analysis of multimodal data fusion from an information theory perspective. - Yinglong Dai; Zheng Yan 002; Jiangchang Cheng; Xiaojun Duan; Guojun Wang 001 (Inf. Sci., 2023)

Large-scale analytic hierarchy process method based on fuzzy-rough-advantage relation. - Bin Yu 012; Zeyu Xiao; Yinglong Dai; Zeshui Xu (Eng. Appl. Artif. Intell., 2025)