Research of Attribute Value Rough Equality Based-on the Hopfield Neural Network and Rough Set Theory. - Jibing Gong; Shengtao Sun (ICNC (1), 2009)

Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine. - Jibing Gong; Shilong Lu; Rui Wang 013; Li Cui (MASS, 2010)

Individual Doctor Recommendation Model on Medical Social Network. - Jibing Gong; Shengtao Sun (ADMA (2), 2011)

PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network. - Jibing Gong; Shilong Lu; Rui Wang 013; Li Cui (ICC, 2011)

EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system. - Jingjing Zhang; Rui Wang 013; Shilong Lu; Jibing Gong; Ze Zhao; Haiming Chen 002; Li Cui; Nanyue Wang; Youhua Yu (SenSys, 2011)

EasiTia: A Pervasive Traffic Information Acquisition System Based on Wireless Sensor Networks. - Rui Wang 013; Lei Zhang 023; Rongli Sun; Jibing Gong; Li Cui (IEEE Trans. Intell. Transp. Syst., 2011)

MPD-Model: A Distributed Multipreference-Driven Data Fusion Model and Its Application in a WSNs-Based Healthcare Monitoring System. - Jibing Gong; Li Cui; Kejiang Xiao; Rui Wang 013 (Int. J. Distributed Sens. Networks, 2012)

Inferring Social Interests in Mobile Networks. - Jibing Gong; Wenjun Yang; Wenyuan Liu; Li Cui (CWSN, 2013)

Doctor Recommendation via Random Walk with Restart in Mobile Medical Social Networks. - Jibing Gong; Ce Pang; Lili Wang; Lin Zhang; Wenbo Huang; Shengtao Sun (SMP, 2014)

A spreading activation algorithm of spatial big data retrieval based on the spatial ontology model. - Shengtao Sun; Jibing Gong; Jijun He; Siwei Peng (Clust. Comput., 2015)

iBole: A Hybrid Multi-Layer Architecture for Doctor Recommendation in Medical Social Networks. - Ji-Bing Gong; Li-Li Wang; Sheng-Tao Sun; Siwei Peng (J. Comput. Sci. Technol., 2015)

Individual Doctor Recommendation in Large Networks by Constrained Optimization. - Ji-Bing Gong; Hong Cheng 001; Li-Li Wang (Int. J. Web Serv. Res., 2015)

Individual Friends Recommendation Based on Random Walk with Restart in Social Networks. - Ji-Bing Gong; Xiaoxia Gao; Yanqing Song; Hong Cheng 001; Jingjing Xu (SMP, 2016)

Integrating a weighted-average method into the random walk framework to generate individual friend recommendations. - Ji-Bing Gong; Xiaoxia Gao; Hong Cheng 001; Jihui Liu; Yanqing Song; Mantang Zhang; Yi Zhao (Sci. China Inf. Sci., 2017)

Integrating LDA into the Weighted Average Method for Semantic Friend Recommendation. - Jibing Gong; Shuai Chen; Xiaoxia Gao; Yanqing Song; Shuli Wang (Big Data (CCF), 2018)

Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling. - Hekai Zhang; Jibing Gong; Zhiyong Teng; Dan Wang; Hongfei Wang; Linfeng Du; Md. Zakirul Alam Bhuiyan (DependSys, 2019)

A distributed incremental information acquisition model for large-scale text data. - Shengtao Sun; Jibing Gong; Albert Y. Zomaya; Aizhi Wu (Clust. Comput., 2019)

W-RNN: News text classification based on a Weighted RNN. - Dan Wang; Jibing Gong; Yaxi Song (CoRR, 2019)

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. - Jibing Gong; Shen Wang 005; Jinlong Wang 005; Wenzheng Feng; Hao Peng 001; Jie Tang 001; Philip S. Yu (SIGIR, 2020)

Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification. - Jibing Gong; Hongyuan Ma; Zhiyong Teng; Qi Teng; Hekai Zhang; Linfeng Du; Shuai Chen; Md. Zakirul Alam Bhuiyan; Jianhua Li; Mingsheng Liu (IEEE Access, 2020)

Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment. - Jibing Gong; Yi Zhao; Shuai Chen; Hongfei Wang; Linfeng Du; Shuli Wang; Md. Zakirul Alam Bhuiyan; Hao Peng 001; Bowen Du 001 (IEEE Access, 2020)

VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion. - Jibing Gong; Hekai Zhang; Weixia Du; Huanhuan Li 004; Hongnian Wen (IEEE Access, 2020)

Trajectory-Based Community Detection. - Zhongyuan Jiang; Xianyu Chen; Bowen Dong; Junsan Zhang; Jibing Gong; Hui Yan; Zehua Zhang; Jianfeng Ma 001; Philip S. Yu (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Fair Personalized Recommendation through Improved Matrix Factorization by Neural Networks. - Tao Zeng; Xiaohan Fang; Yue Lang; Jiquan Peng; Xi Wu 009; Shuli Wang; Jibing Gong (ICNCC, 2021)

Score Prediction Algorithm Combining Deep Learning and Matrix Factorization in Sensor Cloud Systems. - Jibing Gong; Weixia Du; Huanhuan Li 004; Qing Li 026; Yi Zhao; Kailun Yang 003; Ying Wang (IEEE Access, 2021)

Sequential Recommendation through Graph Neural Networks and Transformer Encoder with Degree Encoding. - Shuli Wang; Xuewen Li 005; Xiaomeng Kou; Jin Zhang 040; Shaojie Zheng; Jinlong Wang 005; Jibing Gong (Algorithms, 2021)

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. - Shen Wang 005; Liangwei Yang; Jibing Gong; Shaojie Zheng; Shuying Du; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2022)

Multi-label text classification via hierarchical Transformer-CNN. - Junzhe Li; Chenglong Wang; Xiaohan Fang; Kai Yu; Jinye Zhao; Xi Wu 009; Jibing Gong (ICMLC, 2022)

A research of target tracking algorithm based on deep learning and kernel correlation filter. - Shengtao Sun; Jibing Gong; Yangyang Li; Lizhe Wang 001; Kaisheng Wang (IJCNN, 2022)

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. - Jibing Gong; Yao Wan 001; Ye Liu 006; Xuewen Li 005; Yi Zhao; Cheng Wang; Qing Li 026; Wenzheng Feng; Jie Tang 001 (CoRR, 2022)

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (IEEE Big Data, 2023)

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. - Xi Wu 009; Liangwei Yang; Jibing Gong; Chao Zhou; Tianyu Lin; Xiaolong Liu; Philip S. Yu (CIKM, 2023)

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (ICDM (Workshops), 2023)

Improving Vision Transformers with Nested Multi-head Attentions. - Jiquan Peng; Chaozhuo Li; Yi Zhao; Yuting Lin; Xiaohan Fang; Jibing Gong (ICME, 2023)

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. - Yi Zhao; Chaozhuo Li; Jiquan Peng; Xiaohan Fang; Feiran Huang; Senzhang Wang; Xing Xie 001; Jibing Gong (SIGIR, 2023)

Author Name Disambiguation based on Capsule Network via Semantic and Structural Features. - Jibing Gong; Xiaohan Fang; Chenglong Wang; Jingxin Ju; Yanghao Bao; Jin Zhang 040; Jianjun Xu (SPML, 2023)

OAG$_{ mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. - Xiao Liu 036; Li Mian; Yuxiao Dong; Fanjin Zhang; Jing Zhang 001; Jie Tang 001; Peng Zhang 077; Jibing Gong; Kuansan Wang (IEEE Trans. Knowl. Data Eng., 2023)

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. - Jibing Gong; Yao Wan 001; Ye Liu 006; Xuewen Li 005; Yi Zhao; Cheng Wang; Yuting Lin; Xiaohan Fang; Wenzheng Feng; Jingyi Zhang; Jie Tang 001 (ACM Trans. Web, 2023)

Authorship style transfer with inverse transfer data augmentation. - Zhonghui Shao; Jing Zhang 001; Haoyang Li; Xinmei Huang; Chao Zhou; Yuanchun Wang; Jibing Gong; Cuiping Li 001; Hong Chen 001 (AI Open, 2024)

Enhancing Twitter Bot Detection via Multimodal Invariant Representations. - Jibing Gong; Jiquan Peng; Jin Qu; Shuying Du; Kaiyu Wang (CoRR, 2024)

MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs. - Jibing Gong; Xiaohan Fang; Jiquan Peng; Yi Zhao; Jinye Zhao; Chenlong Wang; Yangyang Li; Jingyi Zhang; Steve Drew (Int. J. Mach. Learn. Cybern., 2024)

Personalized recommendation via inductive spatiotemporal graph neural network. - Jibing Gong; Yi Zhao; Jinye Zhao; Jin Zhang 040; Guixiang Ma; Shaojie Zheng; Shuying Du; Jie Tang 001 (Pattern Recognit., 2024)

Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy. - Xiaohan Fang; Chaozhuo Li; Yi Zhao; Qian Zang; Litian Zhang; Jiquan Peng; Xi Zhang 008; Jibing Gong (Expert Syst. Appl., 2025)

Cross-domain recommendation via adaptive bi-directional transfer graph neural networks. - Yi Zhao; Jingxin Ju; Jibing Gong; Jinye Zhao; Mengpan Chen; Le Chen; Xinchao Feng; Jiquan Peng (Knowl. Inf. Syst., 2025)

RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation. - Xi Wu 009; Dan Zhang; Chao Zhou; Liangwei Yang; Tianyu Lin; Jibing Gong (CoRR, 2025)

MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. - Dan Zhang; Shaojie Zheng; Yifan Zhu 001; Huihui Yuan; Jibing Gong; Jie Tang 001 (ACM Trans. Inf. Syst., 2025)

Depression Scale Dictionary Decomposition Framework for Multimodal Automatic Depression Level Prediction. - Mingyue Niu; Xu Wang; Jibing Gong; Bin Liu 041; Jianhua Tao 001; Björn W. Schuller (IEEE Trans. Circuits Syst. Video Technol., 2025)

SimRMKGC: Simple relational contrastive learning on multilingual knowledge graph completion. - Xiaohan Fang; Qian Zang; Jibing Gong; Tao Fang; Yili Xu; Xi Wu 009 (Appl. Intell., 2025)

Balancing global and local interests in cross-domain recommendation systems. - Yi Zhao; Jin Zhang 040; Jibing Gong; Jiquan Peng; Xindong Wu 001; Shishan Gong; Shuying Du (Multim. Syst., 2025)