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ORCIDJibing Gong
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2020 – today
- 2024
[j18]Zhonghui Shao
, Jing Zhang, Haoyang Li, Xinmei Huang, Chao Zhou, Yuanchun Wang, Jibing Gong, Cuiping Li, Hong Chen:
Authorship style transfer with inverse transfer data augmentation. AI Open 5: 94-103 (2024)- [j17]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): 37-50 (2024) - [j16]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: 109884 (2024) - [i8]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 abs/2407.17745 (2024) - [i7]Jibing Gong, Jiquan Peng, Jin Qu, Shuying Du, Kaiyu Wang:
Enhancing Twitter Bot Detection via Multimodal Invariant Representations. CoRR abs/2408.03096 (2024) - 2023
- [j15]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): 1895-1908 (2023) - [j14]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): 22:1-22:27 (2023) - [c21]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. IEEE Big Data 2023: 304-314 - [c20]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: 2785-2794 - [c19]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: 1516-1525 - [c18]Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong:
Improving Vision Transformers with Nested Multi-head Attentions. ICME 2023: 1925-1930 - [c17]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: 1488-1497 - [c16]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: 293-300 - [i6]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 abs/2306.15905 (2023) - 2022
- [c15]Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. IEEE Big Data 2022: 665-674 - [c14]Junzhe Li, Chenglong Wang, Xiaohan Fang, Kai Yu, Jinye Zhao, Xi Wu, Jibing Gong:
Multi-label text classification via hierarchical Transformer-CNN. ICMLC 2022: 120-125 - [c13]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: 1-8 - [i5]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 abs/2203.11011 (2022) - [i4]Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. CoRR abs/2211.07104 (2022) - 2021
- [j13]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: 47753-47766 (2021) - [j12]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): 263 (2021) - [c12]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: 19-24 - 2020
- [j11]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: 10693-10706 (2020) - [j10]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: 30885-30896 (2020) - [j9]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: 167900-167913 (2020) - [j8]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 67-II(6): 1139-1143 (2020) - [c11]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: 79-88 - [i3]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 abs/2006.13257 (2020)
2010 – 2019
- 2019
- [j7]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): 2383-2394 (2019) - [c10]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: 294-303 - [i2]Dan Wang, Jibing Gong, Yaxi Song:
W-RNN: News text classification based on a Weighted RNN. CoRR abs/1909.13077 (2019) - [i1]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 abs/1910.02450 (2019) - 2018
- [c9]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: 427-441 - 2017
- [j6]Ji-Bing Gong, Xiaoxia Gao, Hong Cheng, Jihui Liu, Yanqing Song, Mantang Zhang, Yi Zhao:
Integrating a weighted-average method into the random walk framework to generate individual friend recommendations. Sci. China Inf. Sci. 60(11): 110104:1-110104:22 (2017) - 2016
- [c8]Ji-Bing Gong, Xiaoxia Gao, Yanqing Song, Hong Cheng, Jingjing Xu:
Individual Friends Recommendation Based on Random Walk with Restart in Social Networks. SMP 2016: 123-133 - 2015
- [j5]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): 563-575 (2015) - [j4]Ji-Bing Gong, Li-Li Wang, Sheng-Tao Sun, Siwei Peng:
iBole: A Hybrid Multi-Layer Architecture for Doctor Recommendation in Medical Social Networks. J. Comput. Sci. Technol. 30(5): 1073-1081 (2015) - [j3]Ji-Bing Gong, Hong Cheng, Li-Li Wang:
Individual Doctor Recommendation in Large Networks by Constrained Optimization. Int. J. Web Serv. Res. 12(4): 16-28 (2015) - 2014
- [c7]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: 198-205 - 2013
- [c6]Jibing Gong, Wenjun Yang, Wenyuan Liu, Li Cui:
Inferring Social Interests in Mobile Networks. CWSN 2013: 93-101 - 2012
- [j2]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) - 2011
- [j1]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): 615-621 (2011) - [c5]Jibing Gong, Shengtao Sun:
Individual Doctor Recommendation Model on Medical Social Network. ADMA (2) 2011: 69-81 - [c4]Jibing Gong, Shilong Lu, Rui Wang, Li Cui:
PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network. ICC 2011: 1-5 - [c3]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: 149-161 - 2010
- [c2]Jibing Gong, Shilong Lu, Rui Wang, Li Cui:
Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine. MASS 2010: 754-756
2000 – 2009
- 2009
- [c1]Jibing Gong, Shengtao Sun:
Research of Attribute Value Rough Equality Based-on the Hopfield Neural Network and Rough Set Theory. ICNC (1) 2009: 256-260
Coauthor Index
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