Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks. - Qing Bao; William K. Cheung 001; Yu Zhang 006 (Web Intelligence, 2013)

A cellular automaton model based on dynamic floor-field for evacuation process with multi-egress. - Chao Wang; Jian Wang 102; Qing Bao (SMC, 2014)

Inferring Latent Co-activation Patterns for Information Diffusion. - Qing Bao; William Kwok-Wai Cheung; Jiming Liu 001; Yunya Song (WI-IAT (1), 2015)

Inferring Motif-Based Diffusion Models for Social Networks. - Qing Bao; William K. Cheung 001; Jiming Liu 001 (IJCAI, 2016)

A Component-Based Diffusion Model With Structural Diversity for Social Networks. - Qing Bao; William K. Cheung 001; Yu Zhang 006; Jiming Liu 001 (IEEE Trans. Cybern., 2017)

EpiRep: Learning Node Representations through Epidemic Dynamics on Networks. - Benyun Shi; Jianan Zhong; Qing Bao; Hongjun Qiu; Jiming Liu 001 (WI, 2019)

Fine-Grained Urban Flow Prediction via a Spatio-Temporal Super-Resolution Scheme. - Rujia Shen; Jian Xu 001; Qing Bao; Wei Li 138; Hao Yuan; Ming Xu 001 (APWeb/WAIM (2), 2020)

An Adaptive Aggregation Method Based on Movie Genre for Group Recommendation. - Wei Li 138; Jian Xu 001; Qing Bao; Rujia Shen; Hao Yuan; Ming Xu 001 (ICTAI, 2020)

Location Spoofing Detection for Social Network Service using Camera Fingerprint. - Qianru Zhao; Ning Zheng 001; Qing Bao (ICVISP, 2020)

Joint Learning of Embedding-Based Parent Components and Information Diffusion for Social Networks. - Qing Bao; William K. Cheung 001; Benyun Shi; Hongjun Qiu; Lijia Ma (IEEE Access, 2020)

Community-aware dynamic network embedding by using deep autoencoder. - Lijia Ma; Yutao Zhang; Jianqiang Li 001; Qiuzhen Lin; Qing Bao; Shanfeng Wang; Maoguo Gong (Inf. Sci., 2020)

Source Identification of Asymptomatic Spread on Networks. - Huan Liu; Qing Bao; Hongjun Qiu; Ming Xu 001; Benyun Shi (IEEE Access, 2021)

Individualism or Collectivism: A Reinforcement Learning Mechanism for Vaccination Decisions. - Chaohao Wu; Tong Qiao; Hongjun Qiu; Benyun Shi; Qing Bao (Inf., 2021)

Hybrid Embedding via Cross-Layer Random Walks on Multiplex Networks. - Benyun Shi; Jianan Zhong; Hongjun Qiu; Qing Bao; Kai Liu; Jiming Liu 001 (IEEE Trans. Netw. Sci. Eng., 2021)

A Progressive Approach for Neighboring Geosocial Communities Search Over Large Spatial Graphs. - Zewen Wu; Jian Xu 001; Huaixiang Zhang; Qing Bao; Qingsun; Changbengzhou (IEEE Access, 2022)

A Coarse-to-Fine Approach for Rectifying Distorted Latent Fingerprints From Crime Scenes. - Qing Bao; Ya-Gang Wang; Chang Gao; Liangxiao Sha; Feifei Lee (IEEE Access, 2023)

Identifying Multiple Propagation Sources With Motif-Based Graph Convolutional Networks for Social Networks. - Kaijun Yang; Qing Bao; Hongjun Qiu (IEEE Access, 2023)

Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China. - Xin Li; Xincheng Wang; Yuanfeng Gao; Jiuhao Wu; Renxi Cheng; Donghao Ren; Qing Bao; Ting Yun; Zhixiang Wu; Guishui Xie; Bangqian Chen (Remote. Sens., 2023)

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. - Pengfei Jiao; Hongqian Chen; Qing Bao; Wang Zhang 001; Huaming Wu (AAAI, 2024)

WVRF_CGT: WVRF Automatic Filter Based Cascading Graph Transformer for Information Diffusion in Stock Q&A Platform. - Xiaobing Feng 005; Ling Feng; Pengfei Jiao; Zhiliang Zheng; Qing Bao (DSA, 2024)

Graph contrastive learning for source localization in social networks. - Qing Bao; Ying Jiang 004; Wang Zhang 001; Pengfei Jiao; Jing Su (Inf. Sci., 2024)

Contrastive representation learning on dynamic networks. - Pengfei Jiao; Hongjiang Chen; Huijun Tang; Qing Bao; Long Zhang; Zhidong Zhao; Huaming Wu (Neural Networks, 2024)

RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction. - Jingkai Ye; Qing Bao; Ming Xu 001; Jian Xu 001; Hongjun Qiu; Pengfei Jiao (IEEE Trans. Netw. Sci. Eng., 2024)

An Anti-Forensics Video Forgery Detection Method Based on Noise Transfer Matrix Analysis. - Qing Bao; Yagang Wang; Huaimiao Hua; Kexin Dong; Feifei Lee (Sensors, 2024)