Jibing Gong

59 papers A* 2A 3B 5Misc 2Journal 37Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism.
Inf. Fusion
Jibing Gong, Jiquan Peng, Wei Wang, Wei Zhou, Chaozhuo Li, Philip S. Yu
2026 J jnl
Cross-domain recommendation via quantized disentangled generative model.
Inf. Fusion
Yi Zhao, Le Chen, Xinchao Feng, Mengpan Chen, Jibing Gong
2026 J jnl
Enhancing global and local interests fusion based on Kolmogorov-Arnold networks for sequential recommendation.
Multim. Syst.
Yili Xu, Xiaohan Fang, Jibing Gong, Yi Zhao, Shijie Wei, Peng Fu, Liping Lv
2026 J jnl
Knit: Toward Alleviating Large Language Model Fact Knowledge Hallucinations in Knowledge Graph Completion.
Big Data Min. Anal.
Jibing Gong, Xiaohan Fang, Wenhai Zhu, Jiquan Peng, Lin Wang, Mengpan Chen, Jiangtao Zhang, Jie Tang
2026 J jnl
PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries.
CoRR
Yi Zhao, Zhen Yang, Shuaiqi Duan, Wenmeng Yu, Zhe Su, Jibing Gong, Jie Tang
2026 J jnl
Reinforced Heterogeneous Graphlet Design for Knowledge Graph Representation Learning.
Inf. Sci.
Jibing Gong, Yuting Lin, Yi Zhao, Tianyu Lin, Xiaohan Fang, Xinchao Feng, Jiquan Peng
2026 — conf
StabCF: A Stabilized Training Method for Collaborative Filtering.
KDD (1)
Xi Wu, Wenzhe Zhang, Liangwei Yang, Yi Zhao, Jiquan Peng, Jibing Gong
2025 J jnl
Balancing global and local interests in cross-domain recommendation systems.
Multim. Syst.
Yi Zhao, Jin Zhang, Jibing Gong, Jiquan Peng, Xindong Wu, Shishan Gong, Shuying Du
2025 J jnl
Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy.
Expert Syst. Appl.
Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong
2025 J jnl
Cross-domain recommendation via adaptive bi-directional transfer graph neural networks.
Knowl. Inf. Syst.
Yi Zhao, Jingxin Ju, Jibing Gong, Jinye Zhao, Mengpan Chen, Le Chen, Xinchao Feng, Jiquan Peng
2025 J jnl
Depression Scale Dictionary Decomposition Framework for Multimodal Automatic Depression Level Prediction.
IEEE Trans. Circuits Syst. Video Technol.
Mingyue Niu, Xu Wang, Jibing Gong, Bin Liu, Jianhua Tao, Björn W. Schuller
2025 A conf
Dual Context-Aware Negative Sampling Strategy for Graph-based Collaborative Filtering.
CIKM
Xi Wu, Wenzhe Zhang, Liangwei Yang, Xiaohan Fang, Jiquan Peng, Jibing Gong
2025 J jnl
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations.
ACM Trans. Inf. Syst.
Dan Zhang, Shaojie Zheng, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang
2025 J jnl
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation.
CoRR
Xi Wu, Dan Zhang, Chao Zhou, Liangwei Yang, Tianyu Lin, Jibing Gong
2025 J jnl
SimRMKGC: Simple relational contrastive learning on multilingual knowledge graph completion.
Appl. Intell.
Xiaohan Fang, Qian Zang, Jibing Gong, Tao Fang, Yili Xu, Xi Wu
2024 J jnl
Authorship style transfer with inverse transfer data augmentation.
AI Open
Zhonghui Shao, Jing Zhang, Haoyang Li, Xinmei Huang, Chao Zhou, Yuanchun Wang, Jibing Gong, Cuiping Li, Hong Chen
2024 J jnl
Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy.
CoRR
Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong
2024 J jnl
Enhancing Twitter Bot Detection via Multimodal Invariant Representations.
CoRR
Jibing Gong, Jiquan Peng, Jin Qu, Shuying Du, Kaiyu Wang
2024 J jnl
Genre: generative multi-turn question answering with contrastive learning for entity-relation extraction.
Complex Intell. Syst.
Lulu Wang, Kai Yu, Aishan Wumaier, Peng Zhang, Tuergen Yibulayin, Xi Wu, Jibing Gong, Maihemuti Maimaiti
2024 J jnl
MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs.
Int. J. Mach. Learn. Cybern.
Jibing Gong, Xiaohan Fang, Jiquan Peng, Yi Zhao, Jinye Zhao, Chenlong Wang, Yangyang Li, Jingyi Zhang, Steve Drew
2024 J jnl
Personalized recommendation via inductive spatiotemporal graph neural network.
Pattern Recognit.
Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang
2023 — conf
Author Name Disambiguation based on Capsule Network via Semantic and Structural Features.
SPML
Jibing Gong, Xiaohan Fang, Chenglong Wang, Jingxin Ju, Yanghao Bao, Jin Zhang, Jianjun Xu
2023 A* conf
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
SIGIR
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
2023 A conf
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.
CIKM
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
2023 J jnl
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.
CoRR
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
2023 — conf
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.
ICDM (Workshops)
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023 A conf
Improving Vision Transformers with Nested Multi-head Attentions.
ICME
Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong
2023 J jnl
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang
2023 J jnl
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.
ACM Trans. Web
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
2023 B conf
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.
IEEE Big Data
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2022 B conf
A research of target tracking algorithm based on deep learning and kernel correlation filter.
IJCNN
Shengtao Sun, Jibing Gong, Yangyang Li, Lizhe Wang, Kaisheng Wang
2022 B conf
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.
IEEE Big Data
Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022 J jnl
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.
CoRR
Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022 Misc conf
Multi-label text classification via hierarchical Transformer-CNN.
ICMLC
Junzhe Li, Chenglong Wang, Xiaohan Fang, Kai Yu, Jinye Zhao, Xi Wu, Jibing Gong
2022 J jnl
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.
CoRR
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
2021 — conf
Fair Personalized Recommendation through Improved Matrix Factorization by Neural Networks.
ICNCC
Tao Zeng, Xiaohan Fang, Yue Lang, Jiquan Peng, Xi Wu, Shuli Wang, Jibing Gong
2021 J jnl
Score Prediction Algorithm Combining Deep Learning and Matrix Factorization in Sensor Cloud Systems.
IEEE Access
Jibing Gong, Weixia Du, Huanhuan Li, Qing Li, Yi Zhao, Kailun Yang, Ying Wang
2021 J jnl
Sequential Recommendation through Graph Neural Networks and Transformer Encoder with Degree Encoding.
Algorithms
Shuli Wang, Xuewen Li, Xiaomeng Kou, Jin Zhang, Shaojie Zheng, Jinlong Wang, Jibing Gong
2020 A* conf
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
SIGIR
Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020 J jnl
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
CoRR
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020 J jnl
Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification.
IEEE Access
Jibing Gong, Hongyuan Ma, Zhiyong Teng, Qi Teng, Hekai Zhang, Linfeng Du, Shuai Chen, Md. Zakirul Alam Bhuiyan, Jianhua Li, Mingsheng Liu
2020 J jnl
Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment.
IEEE Access
Jibing Gong, Yi Zhao, Shuai Chen, Hongfei Wang, Linfeng Du, Shuli Wang, Md. Zakirul Alam Bhuiyan, Hao Peng, Bowen Du
2020 J jnl
Trajectory-Based Community Detection.
IEEE Trans. Circuits Syst. II Express Briefs
Zhongyuan Jiang, Xianyu Chen, Bowen Dong, Junsan Zhang, Jibing Gong, Hui Yan, Zehua Zhang, Jianfeng Ma, Philip S. Yu
2020 J jnl
VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion.
IEEE Access
Jibing Gong, Hekai Zhang, Weixia Du, Huanhuan Li, Hongnian Wen
2019 J jnl
A distributed incremental information acquisition model for large-scale text data.
Clust. Comput.
Shengtao Sun, Jibing Gong, Albert Y. Zomaya, Aizhi Wu
2019 — conf
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling.
DependSys
Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan
2019 J jnl
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling.
CoRR
Hekai Zhang, Jibing Gong, Zhiyong Teng, Dan Wang, Hongfei Wang, Linfeng Du, Md. Zakirul Alam Bhuiyan
2019 J jnl
W-RNN: News text classification based on a Weighted RNN.
CoRR
Dan Wang, Jibing Gong, Yaxi Song
2018 B conf
Integrating LDA into the Weighted Average Method for Semantic Friend Recommendation.
Big Data (CCF)
Jibing Gong, Shuai Chen, Xiaoxia Gao, Yanqing Song, Shuli Wang
2015 J jnl
A spreading activation algorithm of spatial big data retrieval based on the spatial ontology model.
Clust. Comput.
Shengtao Sun, Jibing Gong, Jijun He, Siwei Peng
2014 — conf
Doctor Recommendation via Random Walk with Restart in Mobile Medical Social Networks.
SMP
Jibing Gong, Ce Pang, Lili Wang, Lin Zhang, Wenbo Huang, Shengtao Sun
2013 — conf
Inferring Social Interests in Mobile Networks.
CWSN
Jibing Gong, Wenjun Yang, Wenyuan Liu, Li Cui
2012 J jnl
MPD-Model: A Distributed Multipreference-Driven Data Fusion Model and Its Application in a WSNs-Based Healthcare Monitoring System.
Int. J. Distributed Sens. Networks
Jibing Gong, Li Cui, Kejiang Xiao, Rui Wang
2011 Misc conf
EasiCPRS: design and implementation of a portable Chinese pulse-wave retrieval system.
SenSys
Jingjing Zhang, Rui Wang, Shilong Lu, Jibing Gong, Ze Zhao, Haiming Chen, Li Cui, Nanyue Wang, Youhua Yu
2011 J jnl
EasiTia: A Pervasive Traffic Information Acquisition System Based on Wireless Sensor Networks.
IEEE Trans. Intell. Transp. Syst.
Rui Wang, Lei Zhang, Rongli Sun, Jibing Gong, Li Cui
2011 — conf
Individual Doctor Recommendation Model on Medical Social Network.
ADMA (2)
Jibing Gong, Shengtao Sun
2011 — conf
PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network.
ICC
Jibing Gong, Shilong Lu, Rui Wang, Li Cui
2010 B conf
Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine.
MASS
Jibing Gong, Shilong Lu, Rui Wang, Li Cui
2009 — conf
Research of Attribute Value Rough Equality Based-on the Hopfield Neural Network and Rough Set Theory.
ICNC (1)
Jibing Gong, Shengtao Sun