Jibing Gong

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 32

Top Topics

Weighted Average

Text Classification

Negatively Correlated

Top Venues

Publications

Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong
Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy. CoRR (2024)
Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang
Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. 145 (2024)
Jibing Gong, Xiaohan Fang, Jiquan Peng, Yi Zhao, Jinye Zhao, Chenlong Wang, Yangyang Li, Jingyi Zhang, Steve Drew
MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. ICDM (Workshops) (2023)
Jibing Gong, Xiaohan Fang, Chenglong Wang, Jingxin Ju, Yanghao Bao, Jin Zhang, Jianjun Xu
Author Name Disambiguation based on Capsule Network via Semantic and Structural Features. SPML (2023)
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. BigData (2023)
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CoRR (2023)
Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong
Improving Vision Transformers with Nested Multi-head Attentions. ICME (2023)
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web 17 (3) (2023)
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. SIGIR (2023)
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CIKM (2023)
Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. CoRR (2022)
Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. Big Data (2022)
Junzhe Li, Chenglong Wang, Xiaohan Fang, Kai Yu, Jinye Zhao, Xi Wu, Jibing Gong
Multi-label text classification via hierarchical Transformer-CNN. ICMLC (2022)
Shengtao Sun, Jibing Gong, Yangyang Li, Lizhe Wang, Kaisheng Wang
A research of target tracking algorithm based on deep learning and kernel correlation filter. IJCNN (2022)
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR (2022)
Shuli Wang, Xuewen Li, Xiaomeng Kou, Jin Zhang, Shaojie Zheng, Jinlong Wang, Jibing Gong
Sequential Recommendation through Graph Neural Networks and Transformer Encoder with Degree Encoding. Algorithms 14 (9) (2021)
Jibing Gong, Weixia Du, Huanhuan Li, Qing Li, Yi Zhao, Kailun Yang, Ying Wang
Score Prediction Algorithm Combining Deep Learning and Matrix Factorization in Sensor Cloud Systems. IEEE Access 9 (2021)
Tao Zeng, Xiaohan Fang, Yue Lang, Jiquan Peng, Xi Wu, Shuli Wang, Jibing Gong
Fair Personalized Recommendation through Improved Matrix Factorization by Neural Networks. ICNCC (2021)
Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR (2020)
Jibing Gong, Hekai Zhang, Weixia Du, Huanhuan Li, Hongnian Wen
VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion. IEEE Access 8 (2020)
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. CoRR (2020)
Jibing Gong, Yi Zhao, Shuai Chen, Hongfei Wang, Linfeng Du, Shuli Wang, Md. Zakirul Alam Bhuiyan, Hao Peng, Bowen Du
Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment. IEEE Access 8 (2020)
Jibing Gong, Hongyuan Ma, Zhiyong Teng, Qi Teng, Hekai Zhang, Linfeng Du, Shuai Chen, Md. Zakirul Alam Bhuiyan, Jianhua Li, Mingsheng Liu
Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification. IEEE Access 8 (2020)
Zhongyuan Jiang, Xianyu Chen, Bowen Dong, Junsan Zhang, Jibing Gong, Hui Yan, Zehua Zhang, Jianfeng Ma, Philip S. Yu
Trajectory-Based Community Detection. IEEE Trans. Circuits Syst. II Express Briefs (6) (2020)
Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling. DependSys (2019)
Dan Wang, Jibing Gong, Yaxi Song
W-RNN: News text classification based on a Weighted RNN. CoRR (2019)
Shengtao Sun, Jibing Gong, Albert Y. Zomaya, Aizhi Wu
A distributed incremental information acquisition model for large-scale text data. Clust. Comput. 22 (Suppl 1) (2019)
Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling. CoRR (2019)
Jibing Gong, Shuai Chen, Xiaoxia Gao, Yanqing Song, Shuli Wang
Integrating LDA into the Weighted Average Method for Semantic Friend Recommendation. Big Data (CCF) (2018)
Shengtao Sun, Jibing Gong, Jijun He, Siwei Peng
A spreading activation algorithm of spatial big data retrieval based on the spatial ontology model. Clust. Comput. 18 (2) (2015)
Jibing Gong, Ce Pang, Lili Wang, Lin Zhang, Wenbo Huang, Shengtao Sun
Doctor Recommendation via Random Walk with Restart in Mobile Medical Social Networks. SMP (2014)
Jibing Gong, Wenjun Yang, Wenyuan Liu, Li Cui
Inferring Social Interests in Mobile Networks. CWSN (2013)
Jibing Gong, Li Cui, Kejiang Xiao, Rui Wang
MPD-Model: A Distributed Multipreference-Driven Data Fusion Model and Its Application in a WSNs-Based Healthcare Monitoring System. Int. J. Distributed Sens. Networks 8 (2012)
Jingjing Zhang, Rui Wang, Shilong Lu, Jibing Gong, Ze Zhao, Haiming Chen, Li Cui, Nanyue Wang, Youhua Yu
EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system. SenSys (2011)
Jibing Gong, Shilong Lu, Rui Wang, Li Cui
PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network. ICC (2011)
Rui Wang, Lei Zhang, Rongli Sun, Jibing Gong, Li Cui
EasiTia: A Pervasive Traffic Information Acquisition System Based on Wireless Sensor Networks. IEEE Trans. Intell. Transp. Syst. 12 (2) (2011)
Jibing Gong, Shengtao Sun
Individual Doctor Recommendation Model on Medical Social Network. ADMA (2) (2011)
Jibing Gong, Shilong Lu, Rui Wang, Li Cui
Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine. MASS (2010)
Jibing Gong, Shengtao Sun
Research of Attribute Value Rough Equality Based-on the Hopfield Neural Network and Rough Set Theory. ICNC (1) (2009)