Bo Yang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 86

Top Venues

CoRR

IEEE Access

Knowl. Based Syst.

IEEE Trans. Mob. Comput.

Publications

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW (2024)
Dongran Yu, Xueyan Liu, Bo Yang
Zero-shot Image Classification with Logic Adapter and Rule Prompt. WWW (2024)
Anchen Li, Xueyan Liu, Bo Yang
Item Attribute-aware Graph Collaborative Filtering. Expert Syst. Appl. 238 (Part F) (2024)
En Wang, Mijia Zhang, Bo Yang, Yongjian Yang, Jie Wu
Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing. IEEE Trans. Mob. Comput. 23 (7) (2024)
Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang
Attribute imputation autoencoders for attribute-missing graphs. Knowl. Based Syst. 291 (2024)
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR (2024)
Dongming Luan, En Wang, Nan Jiang, Bo Yang, Yongjian Yang, Jie Wu
A Data-Driven Crowdsensing Framework for Parking Violation Detection. IEEE Trans. Mob. Comput. 23 (6) (2024)
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR (2024)
En Wang, Mijia Zhang, Bo Yang, Yang Xu, Zixuan Song, Yongjian Yang
Few-Shot Data Completion for New Tasks in Sparse Crowdsensing. INFOCOM (2024)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD (2024)
Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang
Robust Representation Learning for Image Clustering. KSEM (4) (2024)
Haihong Zhao, Bo Yang, Jiaxu Cui, Qianli Xing, Jiaxing Shen, Fujin Zhu, Jiannong Cao
Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks. IEEE Trans. Mob. Comput. 23 (4) (2024)
Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang
A novel graph oversampling framework for node classification in class-imbalanced graphs. Sci. China Inf. Sci. 67 (6) (2024)
En Wang, Weiting Liu, Wenbin Liu, Chaocan Xiang, Bo Yang, Yongjian Yang
Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing. INFOCOM (2023)
Siyi Yu, Wei Luo, Gang Li, Bo Yang
Learning Stable Task-Level Manifold for Few-Shot Learning. DICTA (2023)
Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang
A Novel Neural-symbolic System under Statistical Relational Learning. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
Graph-guided Personalization for Federated Recommendation. CoRR (2023)
Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
PerCNet: Periodic Complete Representation for Crystal Graphs. CoRR (2023)
Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes. CoRR (2023)
Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang
LaenNet: Learning robust GCNs by propagating labels. Neural Networks 168 (2023)
En Wang, Weiting Liu, Wenbin Liu, Yongjian Yang, Bo Yang, Jie Wu
Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: A Graph Neural Network Approach. IEEE Trans. Mob. Comput. 22 (11) (2023)
En Wang, Mijia Zhang, Wenbin Liu, Haoyi Xiong, Bo Yang, Yongjian Yang, Jie Wu
Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing. IEEE/ACM Trans. Netw. 31 (2) (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. IJCAI (2023)
Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang
A survey of sum-product networks structural learning. Neural Networks 164 (2023)
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. Knowl. Based Syst. 259 (2023)
Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan
A survey on neural-symbolic learning systems. Neural Networks 166 (2023)
Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang
Hyperbolic Neural Collaborative Recommender. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang
BO-Aug: learning data augmentation policies via Bayesian optimization. Appl. Intell. 53 (8) (2023)
Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. WWW (2023)
En Wang, Jiatong Cai, Yongjian Yang, Wenbin Liu, Hengzhi Wang, Bo Yang, Jie Wu
Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain. IEEE J. Sel. Areas Commun. 40 (12) (2022)
Dan Shi, Anchen Li, Bo Yang
Counterfactual-Guided and Curiosity-Driven Multi-hop Reasoning over Knowledge Graph. DASFAA (1) (2022)
Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain
Hypercomplex Graph Collaborative Filtering. WWW (2022)
Junda Li, Chunxu Zhang, Bo Yang
Global Contextual Dependency Network for Object Detection. Future Internet 14 (1) (2022)
Hang Miao, Anchen Li, Bo Yang
Meta-path Enhanced Lightweight Graph Neural Network for Social Recommendation. DASFAA (2) (2022)
Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao
Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. IEEE Trans. Cybern. 52 (4) (2022)
Anchen Li, Bo Yang, Farookh Khadeer Hussain, Huan Huo
HSR: Hyperbolic Social Recommender. Inf. Sci. 585 (2022)
Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan
A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection. CVPR (2022)
Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang
Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain
Leveraging implicit relations for recommender systems. Inf. Sci. 579 (2021)
Xuan Zang, Bo Yang, Xueyan Liu, Anchen Li
DNEA: Dynamic Network Embedding Method for Anomaly Detection. KSEM (2021)
Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
A block-based generative model for attributed network embedding. World Wide Web 24 (5) (2021)
Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu
Hyperbolic Neural Collaborative Recommender. CoRR (2021)
Anchen Li, Bo Yang
GSIRec: Learning with graph side information for recommendation. World Wide Web 24 (5) (2021)
Lili Sun, Xueyan Liu, Min Zhao, Bo Yang
Interpretable Variational Graph Autoencoder with Noninformative Prior. Future Internet 13 (2) (2021)
Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
A Scalable Redefined Stochastic Blockmodel. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Anchen Li, Bo Yang
HSR: Hyperbolic Social Recommender. CoRR (2021)
Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang
A Block-based Generative Model for Attributed Networks Embedding. CoRR (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
Geom-GCN: Geometric Graph Convolutional Networks. CoRR (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang
Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS (2020)
Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Xuehua Zhao, Wanli Zuo, Bo Yang
Semi-supervised stochastic blockmodel for structure analysis of signed networks. Knowl. Based Syst. 195 (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
Geom-GCN: Geometric Graph Convolutional Networks. ICLR (2020)
Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) (2020)
Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang
Robust stochastic block model. Neurocomputing 379 (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR (2020)
Yu-Yao Liu, Bo Yang, Hongbin Pei, Jing Huang
Neural Explainable Recommender Model Based on Attributes and Reviews. J. Comput. Sci. Technol. 35 (6) (2020)
Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen
Constrained Consistency Modeling for Attributed Network Embedding. IEEE Access 7 (2019)
Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen
Detecting Hot Topics From Academic Big Data. IEEE Access 7 (2019)
Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7 (2019)
Xing Wei, Xianglin Zuo, Bo Yang
Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention. KSEM (1) (2019)
Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo
Topology Optimization based Graph Convolutional Network. IJCAI (2019)
Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu
Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. IEEE Access 7 (2019)
Jiao Huang, Jing Huang, Shang Gao, Bo Yang
Cost-Minimizing Online Algorithms for Geo-Distributed Data Analytics. IEEE Access 7 (2019)
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. IEEE Access 7 (2019)
Xianglin Zuo, Xing Wei, Bo Yang
Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization. KSEM (2) (2018)
Yang Li, Wen-Zhuo Song, Bo Yang
Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing. J. Comput. Sci. Technol. 33 (5) (2018)
Yang Li, Hechang Chen, Bo Yang
Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. IEEE Access 6 (2018)
Xianglin Zuo, Xueyan Liu, Bo Yang
Coupled Low Rank Approximation for Collaborative Filtering in Social Networks. IEEE Access 6 (2018)
Hechang Chen, Bo Yang, Jiming Liu
Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) (2018)
Wenzhuo Song, Shengsheng Wang, Bo Yang, You Lu, Xuehua Zhao, Xueyan Liu
Learning node and edge embeddings for signed networks. Neurocomputing 319 (2018)
Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI (2018)
Jing Huang, Ziyu Liu, Beibei Wang, Mingyue Duan, Bo Yang
Web Data Extraction from Scientific Publishers' Website Using Hidden Markov Model. KSEM (1) (2018)
Yuan Jiang, Hechang Chen, Bo Yang
Deep social collaborative filtering by trust. ICBDT (2018)
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. IEEE Access 6 (2018)
Bo Yang, Yu Lei, Jiming Liu, Wenjie Li
Social Collaborative Filtering by Trust. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
Zhanwei Du, Bo Yang, Jiming Liu
Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows. CoRR (2017)
Xianglin Zuo, Bo Yang, Wanli Zuo
Exploring Uncertainty Methods for Centrality Analysis in Social Networks. ICDM Workshops (2017)
Bo Yang, Xueyan Liu, Yang Li, Xuehua Zhao
Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis. IEEE Trans. Knowl. Data Eng. 29 (9) (2017)
Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
Mingjing Wang, Huiling Chen, Bo Yang, Xuehua Zhao, Lufeng Hu, Zhen-Nao Cai, Hui Huang, Changfei Tong
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses. Neurocomputing 267 (2017)
Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR (2017)
Wenzhuo Song, Bo Yang, Xuehua Zhao, Fei Li
A fast and scalable supervised topic model using stochastic variational inference and MapReduce. IC-NIDC (2016)
Xinlei Wang, Bo Yang, Jing Huang, Hechang Chen, Xiao Gu, Yuan Bai, Zhanwei Du
IASM: A System for the Intelligent Active Surveillance of Malaria. Comput. Math. Methods Medicine 2016 (2016)
LiMing Shen, Huiling Chen, Zhe Yu, Wenchang Kang, Bingyu Zhang, Huai Zhong Li, Bo Yang, Dayou Liu
Evolving support vector machines using fruit fly optimization for medical data classification. Knowl. Based Syst. 96 (2016)
Xuehua Zhao, Daoliang Li, Bo Yang, Shuangyin Liu, Zhifang Pan, Huiling Chen
An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton. IEEE Access 4 (2016)
Dayou Liu, Bo Yang, Shang Gao, Yungang Zhu, Yong Lai
Intelligent CPSS and its application to health care computing. Sci. China Inf. Sci. 59 (5) (2016)
Bo Yang, Xuehua Zhao
On the Scalable Learning of Stochastic Blockmodel. AAAI (2015)
Bo Yang, Xuehua Zhao, Xueyan Liu
Bayesian Approach to Modeling and Detecting Communities in Signed Network. AAAI (2015)
Yuan Bai, Zhanwei Du, Bo Yang, Lauren Ancel Meyers
Location based surveillance for early detection of contagious outbreaks. UbiComp/ISWC Adjunct (2015)
Xuehua Zhao, Daoliang Li, Bo Yang, Huiling Chen, Xinbin Yang, Chenglong Yu, Shuangyin Liu
A two-stage feature selection method with its application. Comput. Electr. Eng. 47 (2015)
Bo Yang, Hechang Chen, Xuehua Zhao, Masato Naka, Jing Huang
On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking. Knowl. Based Syst. 77 (2015)
Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM (2014)
Xuehua Zhao, Bo Yang, Hechang Chen
Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks. PAKDD (1) (2014)
Bo Yang, Hua Guo, Yi Yang, Benyun Shi, Xiao-Nong Zhou, Jiming Liu
Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning. AAAI (2014)
Hui-Ling Chen, Bo Yang, Sujing Wang, Gang Wang, Dayou Liu, Huai Zhong Li, Wenbin Liu
Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy. Appl. Math. Comput. 239 (2014)
Xuehua Zhao, Daoliang Li, Bo Yang, Chao Ma, Yungang Zhu, Hui-Ling Chen
Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton. Appl. Soft Comput. 24 (2014)
Bo Yang, Xuehua Zhao, Jing Huang, Dayou Liu
Community detection for proximity alignment. Integr. Comput. Aided Eng. 21 (1) (2014)
Zhanwei Du, Chuang Ma, Yongjian Yang, Bo Yang
Negative energy detector using cellphone bluetooth and contact list. UbiComp Adjunct (2014)
Jing Huang, Bo Yang, Di Jin, Yi Yang
Decentralized mining social network communities with agents. Math. Comput. Model. 57 (11-12) (2013)
Di Jin, Dayou Liu, Bo Yang, Jie Liu
Fast Complex Network Clustering Algorithm Using Agents CoRR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bo Yang