Jibing Gong

According to our database, Jibing Gong authored at least 43 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Personalized recommendation via inductive spatiotemporal graph neural network.

Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang

Pattern Recognit., January, 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., January, 2024

Enhancing Twitter Bot Detection via Multimodal Invariant Representations.

Jibing Gong, Jiquan Peng, Jin Qu, Shuying Du, Kaiyu Wang

CoRR, 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, Jibing Gong

CoRR, 2024

Authorship style transfer with inverse transfer data augmentation.

Zhonghui Shao, Jing Zhang, Haoyang Li, Xinmei Huang, Chao Zhou, Yuanchun Wang, Jibing Gong, Cuiping Li, Hong Chen

AI Open, 2024

2023

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.

Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang

ACM Trans. Web, August, 2023

OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs.

Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang

IEEE Trans. Knowl. Data Eng., 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, Jianjun Xu

Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 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, Jibing Gong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Vision Transformers with Nested Multi-head Attentions.

Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.

Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2023

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.

Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.

Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.

Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang

CoRR, 2022

A research of target tracking algorithm based on deep learning and kernel correlation filter.

Shengtao Sun, Jibing Gong, Yangyang Li, Lizhe Wang, Kaisheng Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-label text classification via hierarchical Transformer-CNN.

Junzhe Li, Chenglong Wang, Xiaohan Fang, Kai Yu, Jinye Zhao, Xi Wu, Jibing Gong

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.

Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Sequential Recommendation through Graph Neural Networks and Transformer Encoder with Degree Encoding.

Shuli Wang, Xuewen Li, Xiaomeng Kou, Jin Zhang, Shaojie Zheng, Jinlong Wang, Jibing Gong

Algorithms, 2021

Score Prediction Algorithm Combining Deep Learning and Matrix Factorization in Sensor Cloud Systems.

Jibing Gong, Weixia Du, Huanhuan Li, Qing Li, Yi Zhao, Kailun Yang, Ying Wang

IEEE Access, 2021

Fair Personalized Recommendation through Improved Matrix Factorization by Neural Networks.

Tao Zeng, Xiaohan Fang, Yue Lang, Jiquan Peng, Xi Wu, Shuli Wang, Jibing Gong

Proceedings of the ICNCC 2021: The 10th International Conference on Networks, Communication and Computing, Beijing, China, December 10, 2021

2020

Trajectory-Based Community Detection.

Zhongyuan Jiang, Xianyu Chen, Bowen Dong, Junsan Zhang, Jibing Gong, Hui Yan, Zehua Zhang, Jianfeng Ma, Philip S. Yu

IEEE Trans. Circuits Syst. II Express Briefs, 2020

VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion.

Jibing Gong, Hekai Zhang, Weixia Du, Huanhuan Li, Hongnian Wen

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, Bowen Du

IEEE Access, 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

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.

Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

W-RNN: News text classification based on a Weighted RNN.

Dan Wang, Jibing Gong, Yaxi Song

CoRR, 2019

A distributed incremental information acquisition model for large-scale text data.

Shengtao Sun, Jibing Gong, Albert Y. Zomaya, Aizhi Wu

Clust. Comput., 2019

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

Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019

2018

Integrating LDA into the Weighted Average Method for Semantic Friend Recommendation.

Jibing Gong, Shuai Chen, Xiaoxia Gao, Yanqing Song, Shuli Wang

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

Integrating a weighted-average method into the random walk framework to generate individual friend recommendations.

Ji-Bing Gong, Xiaoxia Gao, Hong Cheng, Jihui Liu, Yanqing Song, Mantang Zhang, Yi Zhao

Sci. China Inf. Sci., 2017

2016

Individual Friends Recommendation Based on Random Walk with Restart in Social Networks.

Ji-Bing Gong, Xiaoxia Gao, Yanqing Song, Hong Cheng, Jingjing Xu

Proceedings of the Social Media Processing - 5th National Conference, 2016

2015

Individual Doctor Recommendation in Large Networks by Constrained Optimization.

Ji-Bing Gong, Hong Cheng, Li-Li Wang

Int. J. Web Serv. Res., 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

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

2014

Doctor Recommendation via Random Walk with Restart in Mobile Medical Social Networks.

Jibing Gong, Ce Pang, Lili Wang, Lin Zhang, Wenbo Huang, Shengtao Sun

Proceedings of the Social Media Processing - Third National Conference, 2014

2013

Inferring Social Interests in Mobile Networks.

Jibing Gong, Wenjun Yang, Wenyuan Liu, Li Cui

Proceedings of the Advances in Wireless Sensor Networks, 2013

2012

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

Int. J. Distributed Sens. Networks, 2012

2011

EasiTia: A Pervasive Traffic Information Acquisition System Based on Wireless Sensor Networks.

Rui Wang, Lei Zhang, Rongli Sun, Jibing Gong, Li Cui

IEEE Trans. Intell. Transp. Syst., 2011

EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system.

Jingjing Zhang, Rui Wang, Shilong Lu, Jibing Gong, Ze Zhao, Haiming Chen, Li Cui, Nanyue Wang, Youhua Yu

Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network.

Jibing Gong, Shilong Lu, Rui Wang, Li Cui

Proceedings of IEEE International Conference on Communications, 2011

Individual Doctor Recommendation Model on Medical Social Network.

Jibing Gong, Shengtao Sun

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine.

Jibing Gong, Shilong Lu, Rui Wang, Li Cui

Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems, 2010

2009

Research of Attribute Value Rough Equality Based-on the Hopfield Neural Network and Rough Set Theory.

Jibing Gong, Shengtao Sun

Proceedings of the Fifth International Conference on Natural Computation, 2009