IAC: Interest-Aware Caching for Unstructured P2P. - Xucheng Luo; Zhiguang Qin; Ji Geng 001; Jiaqing Luo (SKG, 2006)

Efficient Multi-source Location in Unstructured P2P Systems. - Xucheng Luo; Zhiguang Qin; Ji Geng 001; Qiang Wang (ICPP Workshops, 2007)

An Improved Text Categorization Algorithm Based on VSM. - Ji Geng 001; Yunling Lu; Wei Chen; Zhiguang Qin (CSE, 2014)

An Architecture and a Platform for Recording and Replaying the Healthcare Information. - Yi Ding 003; Ji Geng 001; Zhe Xiao; Zhiguang Qin (HIS, 2014)

An observer-based consensus tracking control and application to event-triggered tracking. - Jiangping Hu; Ji Geng 001; Hong Zhu 001 (Commun. Nonlinear Sci. Numer. Simul., 2015)

On the Security of a Provably Secure Certificate Based Ring Signature Without Pairing. - Ji Geng 001; Hu Xiong; Zhiguang Qin; Fagen Li (Int. J. Netw. Secur., 2015)

Cryptanalysis of Attribute-based Ring Signcryption Scheme. - Hu Xiong; Ji Geng 001; Zhiguang Qin; Guobin Zhu (Int. J. Netw. Secur., 2015)

A Pairing-free Key-insulated Certificate-based Signature Scheme with Provable Security. - Hu Xiong; Shikun Wu; Ji Geng 001; Emmanuel Ahene; Songyang Wu; Zhiguang Qin (KSII Trans. Internet Inf. Syst., 2015)

Ciphertext-Policy Attribute-Based Signcryption With Verifiable Outsourced Designcryption for Sharing Personal Health Records. - Fuhu Deng; Yali Wang; Li Peng; Hu Xiong; Ji Geng 001; Zhiguang Qin (IEEE Access, 2018)

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. - Fan Zhou 002; Chengtai Cao; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Ji Geng 001 (CIKM, 2019)

Revocable Cloud-Assisted Attribute-Based Signcryption in Personal Health System. - Fuhu Deng; Yali Wang; Li Peng; Miao Lai; Ji Geng 001 (IEEE Access, 2019)

Fast Network Alignment via Graph Meta-Learning. - Fan Zhou 002; Chengtai Cao; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Ji Geng 001 (INFOCOM, 2020)

Continual Graph Learning. - Fan Zhou 002; Chengtai Cao; Ting Zhong; Kunpeng Zhang 001; Goce Trajcevski; Ji Geng 001 (CoRR, 2020)

A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views? - Yi Ding 003; Wei Zheng; Guozheng Wu; Ji Geng 001; Mingsheng Cao; Zhiguang Qin (CoRR, 2020)

Learning meta-knowledge for few-shot image emotion recognition. - Fan Zhou 002; Chengtai Cao; Ting Zhong; Ji Geng 001 (Expert Syst. Appl., 2021)

Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Abdulhaq Adetunji Salako; Happy Nkanta Monday; Grace Ugochi Nneji; Chiagoziem Chima Ukwuoma; Ijeoma Amuche Chikwendu; Ji Geng 001 (Int. J. Interact. Multim. Artif. Intell., 2022)

Generic network for domain adaptation based on self-supervised learning and deep clustering. - Adu Asare Baffour; Zhen Qin 002; Ji Geng 001; Yi Ding 003; Fuhu Deng; Zhiguang Qin (Neurocomputing, 2022)

MVFusFra: A Multi-View Dynamic Fusion Framework for Multimodal Brain Tumor Segmentation. - Yi Ding 003; Wei Zheng; Ji Geng 001; Zhen Qin 002; Kim-Kwang Raymond Choo; Zhiguang Qin; Xiaolin Hou (IEEE J. Biomed. Health Informatics, 2022)

RLSegNet: An Medical Image Segmentation Network Based on Reinforcement Learning. - Yi Ding 003; Xue Qin; Mingfeng Zhang; Ji Geng 001; Dajiang Chen; Fuhu Deng; Chunhe Song (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Interpreting Universal Adversarial Example Attacks on Image Classification Models. - Yi Ding 003; Fuyuan Tan; Ji Geng 001; Zhen Qin 002; Mingsheng Cao; Kim-Kwang Raymond Choo; Zhiguang Qin (IEEE Trans. Dependable Secur. Comput., 2023)

Multi-scale Graph Convolution with Corrective Contrastive Learning for Skeleton-based Action Recognition. - Tianming Zhuang; Erqiang Zhou; Hanwen Zhang; Yi Ding 003; Ji Geng 001; Zhen Qin 002 (ICASSP, 2025)

DSDC-GCN: Decoupled Static-Dynamic Co-Occurrence Graph Convolutional Networks for Skeleton-Based Action Recognition. - Tianming Zhuang; Zhen Qin 002; Yi Ding 003; Zhiguang Qin; Ji Geng 001; Yi Liu; Kim-Kwang Raymond Choo (IEEE Trans. Circuits Syst. Video Technol., 2025)