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ORCIDBo Yang 0002
Person information
- affiliation: Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
Other persons with the same name
- Bo Yang — disambiguation page
- Bo Yang 0001
![[0000-0001-7961-853X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7961-853X")
— University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, China - Bo Yang 0003 — Shaanxi Normal University, School of Computer Science, Xi'an, China (and 3 more)
- Bo Yang 0004 — Synopsys, Inc., Mountain View, CA, USA (and 2 more)
- Bo Yang 0005 — Bowie State University
- Bo Yang 0006 — Shanghai Jiao Tong University, Department of Automation, Key Laboratory of System Control and Information Processing, Shanghai, China (and 1 more)
- Bo Yang 0007 — Beijing University of Posts and Telecommunications
- Bo Yang 0008 — Samsung (and 2 more)
- Bo Yang 0009 (aka: Tony Bo Yang) — University of Turku
- Bo Yang 0010 — NVIDIA (and 1 more)
- Bo Yang 0011 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu (and 1 more)
- Bo Yang 0012 — Chongqing University of Science and Technology, College of Electrical and Information Engineering, China
- Bo Yang 0013 — IBM China Research Laboratory (and 1 more)
- Bo Yang 0016 — Renmin University of China
- Bo Yang 0017 — Université Michel de Montaigne
- Bo Yang 0018 — Texas Tech University (and 1 more)
- Bo Yang 0019 — Southeast University, School of Instrument Science and Engineering, Nanjing, China (and 1 more)
- Bo Yang 0020 — University of Calgary, Department of Chemical and Petroleum Engineering, AB, Canada
- Bo Yang 0021 — Hunan University, National Supercomputing Center in Changsha, China
- Bo Yang 0022 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China (and 1 more)
- Bo Yang 0023 — National University of Defense Technology, Department of Computer Sciences, Changsha, China
- Bo Yang 0024 — Nanjing Agricultural University, Department of Information Management, China
- Bo Yang 0025 — Southwest University, College of Electronic and Information Engineering, Chongqing, China
- Bo Yang 0026 — Chinese Academy of Sciences, Institute of Computing Technology, SKL Computer Architecture, Beijing, China (and 1 more)
- Bo Yang 0027 — The Hong Kong Polytechnic University, Department of Computing, HKSAR (and 2 more)
- Bo Yang 0028 — Beijing Forestry University, School of Information Science and Technology, China
- Bo Yang 0029 — Southeast University, Jiangsu Key Laboratory of Urban ITS, Nanjing, China
- Bo Yang 0030 — University of Paris-Sud, Orsay, France
- Bo Yang 0031 — Jiang Xi University of Finance and Economics, School of Information Management, Nanchang, China
- Bo Yang 0032 — Inner Mongolia University, College of Computer Science, Hohhot, China (and 1 more)
- Bo Yang 0033 — University of Central Florida, FL, USA (and 1 more)
- Bo Yang 0034 — Tongji University, Key Laboratory of Embedded System and Service Computing, Shanghai, China
- Bo Yang 0035 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 3 more)
- Bo Yang 0036 — Hunan Institute of Science and Technology, College of Information and Communication Engineering, Yueyang, China (and 1 more)
- Bo Yang 0038 — Harbin Engineering University, College of Automation, China
- Bo Yang 0039 — Xi'an Research Institute of High Technology, Department of Control Engineering, China
- Bo Yang 0040 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Bo Yang 0041 — Xi'an Polytechnic University, School of Computer Science, Shaanxi Key Laboratory of Clothing Intelligence, China (and 1 more)
- Bo Yang 0042 — Chongqing University, State Key Laboratory of Mechanical Transmission, China
- Bo Yang 0043 — Northwest Normal University, Institute of Computer Science and Engineering, Lanzhou, China
- Bo Yang 0044 — University of Tokyo, Institute of Industrial Science, Japan
- Bo Yang 0045 — Alibaba Group, Hangzhou, China
- Bo Yang 0046 — Kunming University of Science and Technology, Faculty of Electric Power Engineering, China (and 1 more)
- Bo Yang 0047 — Xidian University, School of Artificial Intelligence, Xi'an, China
- Bo Yang 0048 — University of Gothenburg, Department of Applied IT, Sweden
- Bo Yang 0049 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zheng Zhou, China (and 1 more)
- Bo Yang 0050 — Central South University, School of Automation, Changsha, China
Other persons with a similar name
- Yang Bo
- Yang Bo He
- Boyang Li (aka: Bo-Yang Li) — disambiguation page
- Boyang Liu (aka: Bo-Yang Liu) — disambiguation page
- Bo-Yang Qu (aka: Boyang Qu, Qu Boyang) — disambiguation page
- Bo-Suk Yang
- Bo-Yin Yang
- Boting Yang (aka: Bo-Ting Yang) — University of Regina, Canada
- Jian-Bo Yang — The University of Manchester, Manchester, UK
- Yun-Bo Yang
- show all similar names
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2020 – today
- 2025
[j82]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Self-supervised dual graph learning for recommendation. Knowl. Based Syst. 310: 112967 (2025)- [j81]Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang:
PerCNet: Periodic complete representation for crystal graphs. Neural Networks 181: 106841 (2025) - [j80]En Wang, Zixuan Song, Mengni Wu, Wenbin Liu, Bo Yang, Yongjian Yang, Jie Wu:
A New Data Completion Perspective on Sparse CrowdSensing: Spatiotemporal Evolutionary Inference Approach. IEEE Trans. Mob. Comput. 24(3): 1357-1371 (2025) - [c67]Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. AAAI 2025: 13197-13205 - [i38]Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang:
Incomplete Graph Learning: A Comprehensive Survey. CoRR abs/2502.12412 (2025) - 2024
- [j79]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) - [j78]Anchen Li, Xueyan Liu, Bo Yang:
Item Attribute-aware Graph Collaborative Filtering. Expert Syst. Appl. 238(Part F): 122242 (2024) - [j77]Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang:
Attribute imputation autoencoders for attribute-missing graphs. Knowl. Based Syst. 291: 111583 (2024) - [j76]Hengzhi Wang, En Wang, Yongjian Yang, Bo Yang, Jiangchuan Liu:
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits. IEEE Trans. Knowl. Data Eng. 36(11): 5529-5543 (2024) - [j75]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): 3243-3258 (2024) - [j74]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): 6921-6935 (2024) - [j73]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): 7585-7601 (2024) - [c66]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. ICDE 2024: 544-556 - [c65]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. ICML 2024 - [c64]Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Federated Adaptation for Foundation Model-based Recommendations. IJCAI 2024: 5453-5461 - [c63]Jiaqi Liu, Jiaxu Cui, Jiayi Yang, Bo Yang:
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments. IJCAI 2024: 5909-5917 - [c62]En Wang, Mijia Zhang, Bo Yang, Yang Xu, Zixuan Song, Yongjian Yang:
Few-Shot Data Completion for New Tasks in Sparse Crowdsensing. INFOCOM 2024: 1831-1840 - [c61]Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang:
GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD 2024: 4131-4142 - [c60]Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang:
Robust Representation Learning for Image Clustering. KSEM (4) 2024: 437-448 - [c59]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. NeurIPS 2024 - [c58]Dongran Yu, Xueyan Liu, Bo Yang:
Zero-shot Image Classification with Logic Adapter and Rule Prompt. WWW 2024: 2075-2084 - [c57]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: 3632-3642 - [i37]Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang:
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction. CoRR abs/2401.11768 (2024) - [i36]Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Federated Adaptation for Foundation Model-based Recommendations. CoRR abs/2405.04840 (2024) - [i35]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR abs/2405.20692 (2024) - [i34]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 abs/2406.00079 (2024) - [i33]Jiao Hu, Jiaxu Cui, Bo Yang:
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression. CoRR abs/2411.06833 (2024) - [i32]Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang:
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. CoRR abs/2412.08071 (2024) - [i31]Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. CoRR abs/2412.16969 (2024) - 2023
- [j72]Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang:
BO-Aug: learning data augmentation policies via Bayesian optimization. Appl. Intell. 53(8): 8978-8993 (2023) - [j71]Xuanming Guo, Jiao Hu, Helong Yu, Mingjing Wang, Bo Yang:
A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection. Comput. Biol. Medicine 166: 107538 (2023) - [j70]Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao:
HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Inf. Sci. 640: 119065 (2023) - [j69]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: 110068 (2023) - [j68]Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang:
A survey of sum-product networks structural learning. Neural Networks 164: 645-666 (2023) - [j67]Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan:
A survey on neural-symbolic learning systems. Neural Networks 166: 105-126 (2023) - [j66]Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang:
LaenNet: Learning robust GCNs by propagating labels. Neural Networks 168: 652-664 (2023) - [j65]Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang:
Hyperbolic Neural Collaborative Recommender. IEEE Trans. Knowl. Data Eng. 35(9): 9114-9127 (2023) - [j64]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): 6784-6799 (2023) - [j63]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): 648-663 (2023) - [c56]Siyi Yu, Wei Luo, Gang Li, Bo Yang:
Learning Stable Task-Level Manifold for Few-Shot Learning. DICTA 2023: 411-417 - [c55]Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang:
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? IJCAI 2023: 2178-2186 - [c54]Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang:
Dual Personalization on Federated Recommendation. IJCAI 2023: 4558-4566 - [c53]Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang:
QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. IJCNN 2023: 1-8 - [c52]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: 1-10 - [c51]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS 2023 - [c50]Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang:
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. WWW 2023: 641-650 - [i30]Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang:
Dual Personalization on Federated Recommendation. CoRR abs/2301.08143 (2023) - [i29]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. CoRR abs/2304.10955 (2023) - [i28]Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang:
Graph-guided Personalization for Federated Recommendation. CoRR abs/2305.07866 (2023) - [i27]Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang:
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? CoRR abs/2305.12185 (2023) - [i26]Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang:
IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR abs/2305.12650 (2023) - [i25]Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang:
A Novel Neural-symbolic System under Statistical Relational Learning. CoRR abs/2309.08931 (2023) - [i24]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR abs/2310.05086 (2023) - [i23]Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang:
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes. CoRR abs/2310.16466 (2023) - [i22]Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang:
PerCNet: Periodic Complete Representation for Crystal Graphs. CoRR abs/2312.14936 (2023) - 2022
- [j62]Junda Li, Chunxu Zhang, Bo Yang:
Global Contextual Dependency Network for Object Detection. Future Internet 14(1): 27 (2022) - [j61]Anchen Li, Bo Yang, Farookh Khadeer Hussain, Huan Huo:
HSR: Hyperbolic Social Recommender. Inf. Sci. 585: 275-288 (2022) - [j60]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): 3547-3561 (2022) - [j59]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): 1133-1148 (2022) - [j58]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): 2123-2136 (2022) - [j57]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): 103-116 (2022) - [c49]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: 10599-10608 - [c48]Hang Miao, Anchen Li, Bo Yang:
Meta-path Enhanced Lightweight Graph Neural Network for Social Recommendation. DASFAA (2) 2022: 134-149 - [c47]Dan Shi, Anchen Li, Bo Yang:
Counterfactual-Guided and Curiosity-Driven Multi-hop Reasoning over Knowledge Graph. DASFAA (1) 2022: 171-179 - [c46]Mingxi Wang, Ye Zhu, Gang Li, Gang Liu, Bo Yang:
Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel. HPCC/DSS/SmartCity/DependSys 2022: 163-170 - [c45]Jinglong Ji, Fujin Zhu, Jiaxu Cui, Haihong Zhao, Bo Yang:
A Dual-system Method for Intelligent Fault Localization in Communication Networks. ICC 2022: 4062-4067 - [c44]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain:
Hypercomplex Graph Collaborative Filtering. WWW 2022: 1914-1922 - 2021
- [j56]Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang:
A novel framework of graph Bayesian optimization and its applications to real-world network analysis. Expert Syst. Appl. 170: 114524 (2021) - [j55]Lili Sun, Xueyan Liu, Min Zhao, Bo Yang:
Interpretable Variational Graph Autoencoder with Noninformative Prior. Future Internet 13(2): 51 (2021) - [j54]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain:
Leveraging implicit relations for recommender systems. Inf. Sci. 579: 55-71 (2021) - [j53]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): 46:1-46:28 (2021) - [j52]Anchen Li, Bo Yang:
GSIRec: Learning with graph side information for recommendation. World Wide Web 24(5): 1411-1437 (2021) - [j51]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): 1439-1464 (2021) - [c43]Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu:
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. AAAI 2021: 7142-7150 - [c42]Xuan Zang, Bo Yang, Xueyan Liu, Anchen Li:
DNEA: Dynamic Network Embedding Method for Anomaly Detection. KSEM 2021: 236-248 - [i21]Anchen Li, Bo Yang:
HSR: Hyperbolic Social Recommender. CoRR abs/2102.09389 (2021) - [i20]Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu:
Hyperbolic Neural Collaborative Recommender. CoRR abs/2104.07414 (2021) - [i19]Dongran Yu, Bo Yang, Dayou Liu, Hui Wang:
A Survey on Neural-symbolic Systems. CoRR abs/2111.08164 (2021) - 2020
- [j50]Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang:
Robust stochastic block model. Neurocomputing 379: 398-412 (2020) - [j49]Yu-Yao Liu, Bo Yang, Hongbin Pei, Jing Huang:
Neural Explainable Recommender Model Based on Attributes and Reviews. J. Comput. Sci. Technol. 35(6): 1446-1460 (2020) - [j48]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: 105714 (2020) - [c41]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. ICLR 2020 - [c40]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: 3-14 - [c39]Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS 2020 - [i18]Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang:
A Block-based Generative Model for Attributed Networks Embedding. CoRR abs/2001.01383 (2020) - [i17]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. CoRR abs/2002.05287 (2020) - [i16]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR abs/2011.14211 (2020)
2010 – 2019
- 2019
- [j47]Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu:
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7: 2633-2642 (2019) - [j46]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: 53667-53676 (2019) - [j45]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: 108458-108473 (2019) - [j44]Jiao Huang, Jing Huang, Shang Gao, Bo Yang:
Cost-Minimizing Online Algorithms for Geo-Distributed Data Analytics. IEEE Access 7: 163515-163525 (2019) - [j43]Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen:
Constrained Consistency Modeling for Attributed Network Embedding. IEEE Access 7: 185687-185697 (2019) - [j42]Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen:
Detecting Hot Topics From Academic Big Data. IEEE Access 7: 185916-185927 (2019) - [c38]Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. AAAI 2019: 1377-1384 - [c37]Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo:
Topology Optimization based Graph Convolutional Network. IJCAI 2019: 4054-4061 - [c36]Xing Wei, Xianglin Zuo, Bo Yang:
Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention. KSEM (1) 2019: 72-83 - [c35]Lizheng Ma, Jiaxu Cui, Bo Yang:
Deep Neural Architecture Search with Deep Graph Bayesian Optimization. WI 2019: 500-507 - [i15]Chunxu Zhang, Jiaxu Cui, Bo Yang:
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks. CoRR abs/1905.02610 (2019) - [i14]Lizheng Ma, Jiaxu Cui, Bo Yang:
Deep Neural Architecture Search with Deep Graph Bayesian Optimization. CoRR abs/1905.06159 (2019) - [i13]Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. CoRR abs/1905.13403 (2019) - 2018
- [j41]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: 4750-4758 (2018) - [j40]Xianglin Zuo, Xueyan Liu, Bo Yang:
Coupled Low Rank Approximation for Collaborative Filtering in Social Networks. IEEE Access 6: 13326-13335 (2018) - [j39]Yang Li, Hechang Chen, Bo Yang:
Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. IEEE Access 6: 37615-37626 (2018) - [j38]Wenbin Liu, Bo Yang, Zhili Chen:
Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model. Int. J. Distributed Sens. Networks 14(5) (2018) - [j37]Wenzhuo Song, Shengsheng Wang, Bo Yang, You Lu, Xuehua Zhao, Xueyan Liu:
Learning node and edge embeddings for signed networks. Neurocomputing 319: 42-54 (2018) - [j36]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): 1007-1022 (2018) - [c34]Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI 2018: 800-807 - [c33]Ximing Li, Bo Yang:
A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words. COLING 2018: 1908-1917 - [c32]Yuan Jiang, Hechang Chen, Bo Yang:
Deep social collaborative filtering by trust. ICBDT 2018: 52-56 - [c31]Zhizhi Yu, Bo Yang:
Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering. ISMIS 2018: 225-235 - [c30]Xianglin Zuo, Xing Wei, Bo Yang:
Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization. KSEM (2) 2018: 361-370 - [c29]Hechang Chen, Bo Yang, Jiming Liu:
Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) 2018: 425-437 - [c28]Jing Huang, Ziyu Liu, Beibei Wang, Mingyue Duan, Bo Yang:
Web Data Extraction from Scientific Publishers' Website Using Hidden Markov Model. KSEM (1) 2018: 469-476 - [e2]Weiru Liu, Fausto Giunchiglia, Bo Yang:
Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11061, Springer 2018, ISBN 978-3-319-99364-5 [contents] - [e1]Weiru Liu, Fausto Giunchiglia, Bo Yang:
Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11062, Springer 2018, ISBN 978-3-319-99246-4 [contents] - [i12]Jiaxu Cui, Bo Yang:
Graph Bayesian Optimization: Algorithms, Evaluations and Applications. CoRR abs/1805.01157 (2018) - [i11]Bo Yang, Zhiyong Li, Wenbin Liu:
Non-cooperative game approach for task offloading in edge clouds. CoRR abs/1812.07781 (2018) - 2017
- [j35]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: 69-84 (2017) - [j34]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): 1532-1546 (2017) - [j33]Bo Yang, Yu Lei, Jiming Liu, Wenjie Li:
Social Collaborative Filtering by Trust. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1633-1647 (2017) - [j32]Huangxin Wang, Jean X. Zhang, Bo Yang, Fei Li:
On time-sensitive revenue management in green data centers. Sustain. Comput. Informatics Syst. 14: 1-12 (2017) - [j31]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): 2026-2039 (2017) - [c27]Xianglin Zuo, Bo Yang, Wanli Zuo:
Exploring Uncertainty Methods for Centrality Analysis in Social Networks. ICDM Workshops 2017: 163-169 - [i10]Zhanwei Du, Bo Yang, Jiming Liu:
Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows. CoRR abs/1702.02456 (2017) - [i9]Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR abs/1712.00328 (2017) - 2016
- [j30]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: 8465-8475 (2016) - [j29]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): 050103:1-050103:3 (2016) - [j28]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: 2080937:1-2080937:11 (2016) - [j27]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: 61-75 (2016) - [c26]Wenzhuo Song, Bo Yang, Xuehua Zhao, Fei Li:
A fast and scalable supervised topic model using stochastic variational inference and MapReduce. IC-NIDC 2016: 94-98 - [p2]Bo Yang, Jiming Liu:
Mining Multiplex Structural Patterns from Complex Networks. Semantic Web Technologies for Intelligent Engineering Applications 2016: 275-301 - 2015
- [j26]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: 114-125 (2015) - [j25]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: 56-67 (2015) - [c25]Bo Yang, Xuehua Zhao:
On the Scalable Learning of Stochastic Blockmodel. AAAI 2015: 360-366 - [c24]Bo Yang, Xuehua Zhao, Xueyan Liu:
Bayesian Approach to Modeling and Detecting Communities in Signed Network. AAAI 2015: 1952-1958 - [c23]Xiao Gu, Hechang Chen, Bo Yang:
Heterogeneous Data Mining for Planning Active Surveillance of Malaria. ASE BD&SI 2015: 34:1-34:6 - [c22]Tiansheng Bai, Bo Yang, Fei Li:
TDRec: Enhancing Social Recommendation Using Both Trust and Distrust Information. ENIC 2015: 60-66 - [c21]Huangxin Wang, Jean X. Zhang, Bo Yang, Fei Li:
Randomization improving online time-sensitive revenue maximization for green data centers. IGSC 2015: 1-8 - [c20]Yuan Bai, Zhanwei Du, Bo Yang, Lauren Ancel Meyers:
Location based surveillance for early detection of contagious outbreaks. UbiComp/ISWC Adjunct 2015: 77-80 - [i8]Huangxin Wang, Jean X. Zhang, Bo Yang, Fei Li:
Randomization Improving Online Time-Sensitive Revenue Maximization for Green Data Centers. CoRR abs/1509.03699 (2015) - 2014
- [j24]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: 180-197 (2014) - [j23]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: 585-596 (2014) - [j22]Bo Yang, Xuehua Zhao, Jing Huang, Dayou Liu:
Community detection for proximity alignment. Integr. Comput. Aided Eng. 21(1): 59-76 (2014) - [c19]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: 493-499 - [c18]Zhanwei Du, Chuang Ma, Yongjian Yang, Bo Yang:
Negative energy detector using cellphone bluetooth and contact list. UbiComp Adjunct 2014: 43-46 - [c17]Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia:
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM 2014: 630-639 - [c16]Xuehua Zhao, Bo Yang, Hechang Chen:
Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks. PAKDD (1) 2014: 374-385 - 2013
- [j21]Bo Yang, Di Jin, Jiming Liu, Dayou Liu:
Hierarchical community detection with applications to real-world network analysis. Data Knowl. Eng. 83: 20-38 (2013) - [j20]Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu:
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks. Int. J. Comput. Intell. Syst. 6(2): 354-369 (2013) - [j19]Jing Huang, Bo Yang, Di Jin, Yi Yang:
Decentralized mining social network communities with agents. Math. Comput. Model. 57(11-12): 2998-3008 (2013) - [j18]Zhongyi Zhang, Yanbin Liu, Jiguang Li, Bo Yang, Fanhua Yu, Dayou Liu:
A computing approach to agent bidding in continuous double auction. Web Intell. Agent Syst. 11(1): 55-65 (2013) - [c15]Bo Yang, Yu Lei, Dayou Liu, Jiming Liu:
Social Collaborative Filtering by Trust. IJCAI 2013: 2747-2753 - [c14]Jie Liu, Bo Yang, Zhiguo Du:
Outsourcing of Verifiable Composite Modular Exponentiations. INCoS 2013: 546-551 - [i7]Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang:
Discovering link communities in complex networks by exploiting link dynamics. CoRR abs/1303.4699 (2013) - [i6]Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin:
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks. CoRR abs/1303.4711 (2013) - [i5]Di Jin, Bo Yang, Carlos Baquero, Dayou Liu, Dongxiao He, Jie Liu:
Markov random walk under constraint for discovering overlapping communities in complex networks. CoRR abs/1303.5675 (2013) - [i4]Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu:
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks. CoRR abs/1303.5909 (2013) - [i3]Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He:
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks. CoRR abs/1303.5910 (2013) - [i2]Di Jin, Dayou Liu, Bo Yang, Jie Liu:
Fast Complex Network Clustering Algorithm Using Agents. CoRR abs/1303.5912 (2013) - 2012
- [j17]Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin:
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks. Adv. Complex Syst. 15(8) (2012) - [j16]Hui-Ling Chen, Bo Yang, Gang Wang, Jie Liu, Yi-Dong Chen, Dayou Liu:
A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis. J. Medical Syst. 36(3): 1953-1963 (2012) - [j15]Hui-Ling Chen, Bo Yang, Gang Wang, Sujing Wang, Jie Liu, Dayou Liu:
Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence. J. Medical Syst. 36(4): 2505-2519 (2012) - [j14]Dayou Liu, Hui-Ling Chen, Bo Yang, Xin-En Lv, Li-Na Li, Jie Liu:
Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease. J. Medical Syst. 36(5): 3243-3254 (2012) - [j13]Bo Yang, Jiming Liu, Jianfeng Feng:
On the Spectral Characterization and Scalable Mining of Network Communities. IEEE Trans. Knowl. Data Eng. 24(2): 326-337 (2012) - [j12]Bo Yang, Jiming Liu, Dayou Liu:
Characterizing and Extracting Multiplex Patterns in Complex Networks. IEEE Trans. Syst. Man Cybern. Part B 42(2): 469-481 (2012) - [c13]Bo Yang, Pengfei Zhao, Shuqiu Ping, Jing Huang:
Improving the Recommendation of Collaborative Filtering by Fusing Trust Network. CIS 2012: 195-199 - 2011
- [j11]Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He:
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks. Adv. Complex Syst. 14(5): 795-815 (2011) - [j10]Hui-Ling Chen, Bo Yang, Jie Liu, Dayou Liu:
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis. Expert Syst. Appl. 38(7): 9014-9022 (2011) - [j9]Hui-Ling Chen, Dayou Liu, Bo Yang, Jie Liu, Gang Wang:
A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis. Expert Syst. Appl. 38(9): 11796-11803 (2011) - [j8]Hui-Ling Chen, Bo Yang, Gang Wang, Jie Liu, Xin Xu, Sujing Wang, Dayou Liu:
A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method. Knowl. Based Syst. 24(8): 1348-1359 (2011) - [c12]Bo Yang, Jing Huang, Dayou Liu:
A Random Network Ensemble Model Based Generalized Network Community Mining Algorithm. ASONAM 2011: 79-86 - [c11]Bo Yang, Jiming Liu:
Discovering Explorative Patterns from Real-World Complex Networks. ASONAM 2011: 502-506 - [c10]Zhaonan Li, Bo Yang:
Mining Hierarchical Communities from Complex Networks Using Distance-Based Similarity. ISMIS Industrial Session 2011: 185-196 - [c9]Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He:
Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs. PAKDD (2) 2011: 123-134 - [c8]Hui-Ling Chen, Dayou Liu, Bo Yang, Jie Liu, Gang Wang, Sujing Wang:
An Adaptive Fuzzy k-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction. PAKDD (1) 2011: 249-264 - 2010
- [j7]Bo Yang, Jiming Liu, Dayou Liu:
An autonomy-oriented computing approach to community mining in distributed and dynamic networks. Auton. Agents Multi Agent Syst. 20(2): 123-157 (2010) - [j6]Helong Yu, Dayou Liu, Guifen Chen, Baocheng Wan, Sheng-Sheng Wang, Bo Yang:
A neural network ensemble method for precision fertilization modeling. Math. Comput. Model. 51(11-12): 1375-1382 (2010) - [p1]Bo Yang, Dayou Liu, Jiming Liu:
Discovering Communities from Social Networks: Methodologies and Applications. Handbook of Social Network Technologies 2010: 331-346 - [i1]Bo Yang, Jiming Liu:
Multiplex Structures: Patterns of Complexity in Real-World Networks. CoRR abs/1009.2054 (2010)
2000 – 2009
- 2009
- [c7]Bo Yang, Jing Huang, Dayou Liu, Jiming Liu:
A Multi-Agent Based Decentralized Algorithm for Social Network Community Mining. ASONAM 2009: 78-82 - [c6]Di Jin, Dayou Liu, Bo Yang, Jie Liu:
Fast Complex Network Clustering Algorithm Using Agents. DASC 2009: 615-619 - 2008
- [j5]Bo Yang, Jiming Liu:
Discovering global network communities based on local centralities. ACM Trans. Web 2(1): 9:1-9:32 (2008) - [c5]Bo Yang, Jiming Liu, Jianfeng Feng, Dayou Liu:
On Modularity of Social Network Communities: The Spectral Characterization. Web Intelligence 2008: 127-133 - 2007
- [j4]Bo Yang, Dayou Liu:
A Heuristic Clustering Algorithm for Mining Communities in Signed Networks. J. Comput. Sci. Technol. 22(2): 320-328 (2007) - [j3]Bo Yang, William K. Cheung, Jiming Liu:
Community Mining from Signed Social Networks. IEEE Trans. Knowl. Data Eng. 19(10): 1333-1348 (2007) - [c4]Jiafei Li, Dayou Liu, Bo Yang:
Process Mining: Extending alpha -Algorithm to Mine Duplicate Tasks in Process Logs. APWeb/WAIM Workshops 2007: 396-407 - [c3]Bo Yang, Jiming Liu:
An Efficient Probabilistic Approach to Network Community Mining. RSKT 2007: 267-275 - [c2]Bo Yang, Jiming Liu:
An Autonomy Oriented Computing (AOC) Approach to Distributed Network Community Mining. SASO 2007: 151-160 - 2006
- [j2]Bo Yang, Dayou Liu:
Force-Based Incremental Algorithm for Mining Community Structure in Dynamic Network. J. Comput. Sci. Technol. 21(3): 393-400 (2006) - [c1]Bo Yang:
Self-Organizing Network Evolving Model for Mining Network Community Structure. ADMA 2006: 404-415 - 2003
- [j1]Kun Yang, Xin Guo, Alex Galis, Bo Yang, Dayou Liu:
Towards efficient resource on-demand in Grid Computing. ACM SIGOPS Oper. Syst. Rev. 37(2): 37-43 (2003)
Coauthor Index
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