Bo Yang - RankMe

234 papers A* 36A 1B 9C 5Misc 1Journal 147Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data Pricing via Uncertainty Quantification for Sparse Mobile CrowdSensing. IEEE Trans. Serv. Comput. Wenbin Liu, En Wang, Bo Yang, Yongjian Yang, Jie Wu
2026	A*	`conf`	Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference. WWW Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji, Hao Tuo, Bo Yang
2026	J	`jnl`	Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference. CoRR Xuanning Hu, Anchen Li, Qianli Xing, Jinglong Ji, Hao Tuo, Bo Yang
2026	J	`jnl`	Generalizing Dynamics Modeling More Easily from Representation Perspective. CoRR Yiming Wang, Zhengnan Zhang, Genghe Zhang, Jiawen Dan, Changchun Li, Chenlong Hu, Chris Nugent, Jun Liu, Ximing Li, Bo Yang
2026	J	`jnl`	GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning. CoRR Xiao Yang, Ronghao Fu, Zhuoran Duan, Zhiwen Lin, Xueyan Liu, Bo Yang
2026	J	`jnl`	GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision. CoRR Lang Sun, Ronghao Fu, Zhuoran Duan, Haoran Liu, Xueyan Liu, Bo Yang
2026	J	`jnl`	Grouping-enhanced personalization for federated recommendation. Inf. Process. Manag. Linrui Shen, Anchen Li, Xueyan Liu, Riting Xia, Bo Yang
2026	A*	`conf`	Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. WWW Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026	J	`jnl`	Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. CoRR Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026	A*	`conf`	Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. WWW Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2026	J	`jnl`	Reinforcement learning with formation energy feedback for material diffusion models. Neural Networks Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
2026	A*	`conf`	SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation. WWW Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King
2026	J	`jnl`	Spatio-Temporal Pyramid-Based Multi-Scale Data Completion in Sparse Crowdsensing. IEEE Trans. Mob. Comput. Wenbin Liu, Hao Du, En Wang, Jiajian Lv, Weiting Liu, Bo Yang, Jie Wu
2025	J	`jnl`	A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design. CoRR Hao Tuo, Yan Li, Xuanning Hu, Haishi Zhao, Xueyan Liu, Bo Yang
2025	J	`jnl`	A New Data Completion Perspective on Sparse CrowdSensing: Spatiotemporal Evolutionary Inference Approach. IEEE Trans. Mob. Comput. En Wang, Zixuan Song, Mengni Wu, Wenbin Liu, Bo Yang, Yongjian Yang, Jie Wu
2025	—	`conf`	A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. WWW (Companion Volume) Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
2025	B	`conf`	ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction. IJCNN Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
2025	J	`jnl`	Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO. IEEE Trans. Neural Networks Learn. Syst. Sili Huang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang, Lichao Sun, Bo Yang
2025	A*	`conf`	Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction. ICML Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
2025	—	`conf`	Diffusion Multi-behavior Recommender Model. DASFAA (5) Anchen Li, Jinglong Ji, Riting Xia, Bo Yang
2025	A*	`conf`	Distilling A Universal Expert from Clustered Federated Learning. IJCAI Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025	J	`jnl`	Distilling A Universal Expert from Clustered Federated Learning. CoRR Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025	A*	`conf`	Dual Graph Denoising Model for Social Recommendation. WWW Anchen Li, Bo Yang
2025	J	`jnl`	Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. IEEE Trans. Ind. Informatics Sili Huang, Jifeng Hu, Hechang Chen, Peng Cui, Haiyin Piao, Lichao Sun, Bo Yang
2025	A*	`conf`	Hypercomplex Knowledge Graph-Aware Recommendation. SIGIR Anchen Li, Bo Yang, Huan Huo, Farookh Hussain, Guandong Xu
2025	J	`jnl`	Incomplete Graph Learning: A Comprehensive Survey. CoRR Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang
2025	J	`jnl`	Incomplete graph learning: A comprehensive survey. Neural Networks Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang
2025	—	`conf`	MVSGAE: Multi-head Variational Signed Graph Auto-Encoder. APWeb-WAIM (1) Yonghe Gu, Xueyan Liu, Zhuoran Duan, Anchen Li, Riting Xia, Bo Yang
2025	A*	`conf`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. AAAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2025	J	`jnl`	Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. CoRR Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2025	B	`conf`	Non-Aligned Multi-Scale Data Completion for Sparse Mobile CrowdSensing. IWQoS Wenbin Liu, Hao Du, En Wang, Dongming Luan, Bo Yang, Yongjian Yang, Jie Wu
2025	J	`jnl`	PerCNet: Periodic complete representation for crystal graphs. Neural Networks Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. CoRR Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. IEEE Trans. Knowl. Data Eng. Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference. CoRR Hongbo Liu, Jiannong Cao, Bo Yang, Dongbin Bai, Yinfeng Cao, Xiaoming Shen, Yinan Zhang, Jinwen Liang, Shan Jiang, Mingjin Zhang
2025	J	`jnl`	Rethinking the Effect of Sparse Data Completion on Sparse Mobile Crowdsensing Tasks. IEEE Trans. Mob. Comput. Yuanbo Xu, Jiawei Liu, En Wang, Bo Yang, Dongming Luan, Yongjian Yang, Jing Deng
2025	J	`jnl`	Self-supervised dual graph learning for recommendation. Knowl. Based Syst. Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu
2025	J	`jnl`	Spatiotemporal Extrapolation Through Conditional Diffusion Probability Models. IEEE Internet Things J. En Wang, Qinglun Meng, Wenbin Liu, Bo Yang, Jie Wu
2025	J	`jnl`	Stochastic Block Models for Complex Network Analysis: A Survey. ACM Trans. Knowl. Discov. Data Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Yang Li, Xuehua Zhao, Bo Yang
2025	J	`jnl`	Symbolic Foundation Regressor on Complex Networks. CoRR Weiting Liu, Jiaxu Cui, Jiao Hu, En Wang, Bo Yang
2025	J	`jnl`	TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting. CoRR Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang
2025	—	`conf`	Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution. KDD (2) Wenhao Song, Xuan Wu, Bo Yang, You Zhou, Yubin Xiao, Yanchun Liang, Hongwei Ge, Heow Pueh Lee, Chunguo Wu
2025	J	`jnl`	Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution. CoRR Wenhao Song, Xuan Wu, Bo Yang, You Zhou, Yubin Xiao, Yanchun Liang, Hongwei Ge, Heow Pueh Lee, Chunguo Wu
2025	B	`conf`	Troublemaker Learning for Low-Light Image Enhancement. ICMR Yinghao Song, Hao Ma, Bo Yang, Yanchun Liang, Hongwei Ge, Heow Pueh Lee, Chunguo Wu
2025	A	`conf`	Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. CIKM Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang
2025	J	`jnl`	Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. CoRR Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang
2024	J	`jnl`	A Data-Driven Crowdsensing Framework for Parking Violation Detection. IEEE Trans. Mob. Comput. Dongming Luan, En Wang, Nan Jiang, Bo Yang, Yongjian Yang, Jie Wu
2024	J	`jnl`	A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits. IEEE Trans. Knowl. Data Eng. Hengzhi Wang, En Wang, Yongjian Yang, Bo Yang, Jiangchuan Liu
2024	J	`jnl`	A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. CoRR Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
2024	J	`jnl`	A novel graph oversampling framework for node classification in class-imbalanced graphs. Sci. China Inf. Sci. Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang
2024	J	`jnl`	ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction. CoRR Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
2024	J	`jnl`	Attribute imputation autoencoders for attribute-missing graphs. Knowl. Based Syst. Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang
2024	A*	`conf`	Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. NeurIPS Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks. IEEE Trans. Mob. Comput. Haihong Zhao, Bo Yang, Jiaxu Cui, Qianli Xing, Jiaxing Shen, Fujin Zhu, Jiannong Cao
2024	A*	`conf`	Federated Adaptation for Foundation Model-based Recommendations. IJCAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	J	`jnl`	Federated Adaptation for Foundation Model-based Recommendations. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	A*	`conf`	Few-Shot Data Completion for New Tasks in Sparse Crowdsensing. INFOCOM En Wang, Mijia Zhang, Bo Yang, Yang Xu, Zixuan Song, Yongjian Yang
2024	A*	`conf`	GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024	A*	`conf`	In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. ICML Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	Item Attribute-aware Graph Collaborative Filtering. Expert Syst. Appl. Anchen Li, Xueyan Liu, Bo Yang
2024	J	`jnl`	Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing. IEEE Trans. Mob. Comput. En Wang, Mijia Zhang, Bo Yang, Yongjian Yang, Jie Wu
2024	J	`jnl`	Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression. CoRR Jiao Hu, Jiaxu Cui, Bo Yang
2024	J	`jnl`	Learning continuous network emerging dynamics from scarce observations via data-adaptive stochastic processes. Sci. China Inf. Sci. Jiaxu Cui, Qipeng Wang, Bingyi Sun, Jiming Liu, Bo Yang
2024	J	`jnl`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	—	`conf`	Robust Representation Learning for Image Clustering. KSEM (4) Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang
2024	A*	`conf`	Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments. IJCAI Jiaqi Liu, Jiaxu Cui, Jiayi Yang, Bo Yang
2024	A*	`conf`	Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. ICDE Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu
2024	J	`jnl`	Troublemaker Learning for Low-Light Image Enhancement. CoRR Yinghao Song, Zhiyuan Cao, Wanhong Xiang, Sifan Long, Bo Yang, Hongwei Ge, Yanchun Liang, Chunguo Wu
2024	A*	`conf`	When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024	A*	`conf`	Zero-shot Image Classification with Logic Adapter and Rule Prompt. WWW Dongran Yu, Xueyan Liu, Bo Yang
2023	J	`jnl`	A Novel Neural-symbolic System under Statistical Relational Learning. CoRR Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang
2023	J	`jnl`	A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection. Comput. Biol. Medicine Xuanming Guo, Jiao Hu, Helong Yu, Mingjing Wang, Bo Yang
2023	J	`jnl`	A survey of sum-product networks structural learning. Neural Networks Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang
2023	J	`jnl`	A survey on neural-symbolic learning systems. Neural Networks Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan
2023	J	`jnl`	BO-Aug: learning data augmentation policies via Bayesian optimization. Appl. Intell. Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang
2023	A*	`conf`	Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? IJCAI Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang
2023	J	`jnl`	Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? CoRR Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang
2023	A*	`conf`	Dual Personalization on Federated Recommendation. IJCAI Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	J	`jnl`	Dual Personalization on Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	J	`jnl`	Graph-guided Personalization for Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
2023	J	`jnl`	HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Inf. Sci. Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, Songwei Zhao
2023	J	`jnl`	Hyperbolic Neural Collaborative Recommender. IEEE Trans. Knowl. Data Eng. Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang
2023	J	`jnl`	IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
2023	J	`jnl`	LaenNet: Learning robust GCNs by propagating labels. Neural Networks Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang
2023	J	`jnl`	Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes. CoRR Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang
2023	J	`jnl`	Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023	A*	`conf`	Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023	Misc	`conf`	Learning Stable Task-Level Manifold for Few-Shot Learning. DICTA Siyi Yu, Wei Luo, Gang Li, Bo Yang
2023	A*	`conf`	Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. WWW Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang
2023	J	`jnl`	Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing. IEEE/ACM Trans. Netw. En Wang, Mijia Zhang, Wenbin Liu, Haoyi Xiong, Bo Yang, Yongjian Yang, Jie Wu
2023	J	`jnl`	PerCNet: Periodic Complete Representation for Crystal Graphs. CoRR Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
2023	B	`conf`	QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. IJCNN Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang
2023	J	`jnl`	SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks. CoRR Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
2023	J	`jnl`	SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. Knowl. Based Syst. Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
2023	A*	`conf`	Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing. INFOCOM En Wang, Weiting Liu, Wenbin Liu, Chaocan Xiang, Bo Yang, Yongjian Yang
2023	J	`jnl`	Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: A Graph Neural Network Approach. IEEE Trans. Mob. Comput. En Wang, Weiting Liu, Wenbin Liu, Yongjian Yang, Bo Yang, Jie Wu
2022	—	`conf`	A Dual-system Method for Intelligent Fault Localization in Communication Networks. ICC Jinglong Ji, Fujin Zhu, Jiaxu Cui, Haihong Zhao, Bo Yang
2022	A*	`conf`	A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection. CVPR Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan
2022	J	`jnl`	Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang
2022	—	`conf`	Counterfactual-Guided and Curiosity-Driven Multi-hop Reasoning over Knowledge Graph. DASFAA (1) Dan Shi, Anchen Li, Bo Yang
2022	J	`jnl`	Global Contextual Dependency Network for Object Detection. Future Internet Junda Li, Chunxu Zhang, Bo Yang
2022	J	`jnl`	HSR: Hyperbolic Social Recommender. Inf. Sci. Anchen Li, Bo Yang, Farookh Khadeer Hussain, Huan Huo
2022	A*	`conf`	Hypercomplex Graph Collaborative Filtering. WWW Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain
2022	—	`conf`	Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel. HPCC/DSS/SmartCity/DependSys Mingxi Wang, Ye Zhu, Gang Li, Gang Liu, Bo Yang
2022	—	`conf`	Meta-path Enhanced Lightweight Graph Neural Network for Social Recommendation. DASFAA (2) Hang Miao, Anchen Li, Bo Yang
2022	J	`jnl`	Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. IEEE Trans. Cybern. Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao
2022	J	`jnl`	Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. IEEE Trans. Neural Networks Learn. Syst. Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu
2022	J	`jnl`	Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain. IEEE J. Sel. Areas Commun. En Wang, Jiatong Cai, Yongjian Yang, Wenbin Liu, Hengzhi Wang, Bo Yang, Jie Wu
2021	J	`jnl`	A Scalable Redefined Stochastic Blockmodel. ACM Trans. Knowl. Discov. Data Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
2021	J	`jnl`	A Survey on Neural-symbolic Systems. CoRR Dongran Yu, Bo Yang, Dayou Liu, Hui Wang
2021	J	`jnl`	A block-based generative model for attributed network embedding. World Wide Web Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
2021	J	`jnl`	A novel framework of graph Bayesian optimization and its applications to real-world network analysis. Expert Syst. Appl. Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang
2021	A*	`conf`	Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. AAAI Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu
2021	C	`conf`	DNEA: Dynamic Network Embedding Method for Anomaly Detection. KSEM Xuan Zang, Bo Yang, Xueyan Liu, Anchen Li
2021	J	`jnl`	GSIRec: Learning with graph side information for recommendation. World Wide Web Anchen Li, Bo Yang
2021	J	`jnl`	HSR: Hyperbolic Social Recommender. CoRR Anchen Li, Bo Yang
2021	J	`jnl`	Hyperbolic Neural Collaborative Recommender. CoRR Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu
2021	J	`jnl`	Interpretable Variational Graph Autoencoder with Noninformative Prior. Future Internet Lili Sun, Xueyan Liu, Min Zhao, Bo Yang
2021	J	`jnl`	Leveraging implicit relations for recommender systems. Inf. Sci. Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain
2020	J	`jnl`	A Block-based Generative Model for Attributed Networks Embedding. CoRR Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang
2020	A*	`conf`	Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang
2020	J	`jnl`	Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
2020	A*	`conf`	Geom-GCN: Geometric Graph Convolutional Networks. ICLR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
2020	J	`jnl`	Geom-GCN: Geometric Graph Convolutional Networks. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
2020	—	`conf`	MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang
2020	J	`jnl`	Neural Explainable Recommender Model Based on Attributes and Reviews. J. Comput. Sci. Technol. Yu-Yao Liu, Bo Yang, Hongbin Pei, Jing Huang
2020	J	`jnl`	Robust stochastic block model. Neurocomputing Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang
2020	J	`jnl`	Semi-supervised stochastic blockmodel for structure analysis of signed networks. Knowl. Based Syst. Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Xuehua Zhao, Wanli Zuo, Bo Yang
2019	J	`jnl`	Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. IEEE Access Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
2019	J	`jnl`	Constrained Consistency Modeling for Attributed Network Embedding. IEEE Access Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen
2019	J	`jnl`	Cost-Minimizing Online Algorithms for Geo-Distributed Data Analytics. IEEE Access Jiao Huang, Jing Huang, Shang Gao, Bo Yang
2019	A*	`conf`	Deep Bayesian Optimization on Attributed Graphs. AAAI Jiaxu Cui, Bo Yang, Xia Hu
2019	J	`jnl`	Deep Bayesian Optimization on Attributed Graphs. CoRR Jiaxu Cui, Bo Yang, Xia Hu
2019	B	`conf`	Deep Neural Architecture Search with Deep Graph Bayesian Optimization. WI Lizheng Ma, Jiaxu Cui, Bo Yang
2019	J	`jnl`	Deep Neural Architecture Search with Deep Graph Bayesian Optimization. CoRR Lizheng Ma, Jiaxu Cui, Bo Yang
2019	J	`jnl`	Detecting Hot Topics From Academic Big Data. IEEE Access Beibei Wang, Bo Yang, Shuangshuang Shan, Hechang Chen
2019	J	`jnl`	Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks. CoRR Chunxu Zhang, Jiaxu Cui, Bo Yang
2019	J	`jnl`	Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. IEEE Access Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu
2019	J	`jnl`	Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu
2019	—	`conf`	Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention. KSEM (1) Xing Wei, Xianglin Zuo, Bo Yang
2019	A*	`conf`	Topology Optimization based Graph Convolutional Network. IJCAI Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo
2018	B	`conf`	A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words. COLING Ximing Li, Bo Yang
2018	J	`jnl`	Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. IEEE Access Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang
2018	J	`jnl`	Coupled Low Rank Approximation for Collaborative Filtering in Social Networks. IEEE Access Xianglin Zuo, Xueyan Liu, Bo Yang
2018	—	`conf`	Deep social collaborative filtering by trust. ICBDT Yuan Jiang, Hechang Chen, Bo Yang
2018	J	`jnl`	Graph Bayesian Optimization: Algorithms, Evaluations and Applications. CoRR Jiaxu Cui, Bo Yang
2018	A*	`conf`	Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
2018	—	`ed.`	Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part I KSEM (1) Weiru Liu, Fausto Giunchiglia, Bo Yang
2018	—	`ed.`	Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part II KSEM (2) Weiru Liu, Fausto Giunchiglia, Bo Yang
2018	J	`jnl`	Learning node and edge embeddings for signed networks. Neurocomputing Wenzhuo Song, Shengsheng Wang, Bo Yang, You Lu, Xuehua Zhao, Xueyan Liu
2018	J	`jnl`	Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model. Int. J. Distributed Sens. Networks Wenbin Liu, Bo Yang, Zhili Chen
2018	J	`jnl`	Non-cooperative game approach for task offloading in edge clouds. CoRR Bo Yang, Zhiyong Li, Wenbin Liu
2018	—	`conf`	Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) Hechang Chen, Bo Yang, Jiming Liu
2018	J	`jnl`	Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions. IEEE Access Yang Li, Hechang Chen, Bo Yang
2018	C	`conf`	Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering. ISMIS Zhizhi Yu, Bo Yang
2018	J	`jnl`	Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing. J. Comput. Sci. Technol. Yang Li, Wen-Zhuo Song, Bo Yang
2018	—	`conf`	Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization. KSEM (2) Xianglin Zuo, Xing Wei, Bo Yang
2018	—	`conf`	Web Data Extraction from Scientific Publishers' Website Using Hidden Markov Model. KSEM (1) Jing Huang, Ziyu Liu, Beibei Wang, Mingyue Duan, Bo Yang
2017	J	`jnl`	Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
2017	—	`conf`	Exploring Uncertainty Methods for Centrality Analysis in Social Networks. ICDM Workshops Xianglin Zuo, Bo Yang, Wanli Zuo
2017	J	`jnl`	Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
2017	J	`jnl`	On time-sensitive revenue management in green data centers. Sustain. Comput. Informatics Syst. Huangxin Wang, Jean X. Zhang, Bo Yang, Fei Li
2017	J	`jnl`	Social Collaborative Filtering by Trust. IEEE Trans. Pattern Anal. Mach. Intell. Bo Yang, Yu Lei, Jiming Liu, Wenjie Li
2017	J	`jnl`	Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis. IEEE Trans. Knowl. Data Eng. Bo Yang, Xueyan Liu, Yang Li, Xuehua Zhao
2017	J	`jnl`	Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses. Neurocomputing Mingjing Wang, Huiling Chen, Bo Yang, Xuehua Zhao, Lufeng Hu, Zhen-Nao Cai, Hui Huang, Changfei Tong
2017	J	`jnl`	Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows. CoRR Zhanwei Du, Bo Yang, Jiming Liu
2016	—	`conf`	A fast and scalable supervised topic model using stochastic variational inference and MapReduce. IC-NIDC Wenzhuo Song, Bo Yang, Xuehua Zhao, Fei Li
2016	J	`jnl`	An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton. IEEE Access Xuehua Zhao, Daoliang Li, Bo Yang, Shuangyin Liu, Zhifang Pan, Huiling Chen
2016	J	`jnl`	Evolving support vector machines using fruit fly optimization for medical data classification. Knowl. Based Syst. Liming Shen, Huiling Chen, Zhe Yu, Wenchang Kang, Bingyu Zhang, Huai Zhong Li, Bo Yang, Dayou Liu
2016	J	`jnl`	IASM: A System for the Intelligent Active Surveillance of Malaria. Comput. Math. Methods Medicine Xinlei Wang, Bo Yang, Jing Huang, Hechang Chen, Xiao Gu, Yuan Bai, Zhanwei Du
2016	J	`jnl`	Intelligent CPSS and its application to health care computing. Sci. China Inf. Sci. Dayou Liu, Bo Yang, Shang Gao, Yungang Zhu, Yong Lai
2016	—	`ch.`	Mining Multiplex Structural Patterns from Complex Networks. Semantic Web Technologies for Intelligent Engineering Applications Bo Yang, Jiming Liu
2015	J	`jnl`	A two-stage feature selection method with its application. Comput. Electr. Eng. Xuehua Zhao, Daoliang Li, Bo Yang, Huiling Chen, Xinbin Yang, Chenglong Yu, Shuangyin Liu
2015	A*	`conf`	Bayesian Approach to Modeling and Detecting Communities in Signed Network. AAAI Bo Yang, Xuehua Zhao, Xueyan Liu
2015	—	`conf`	Heterogeneous Data Mining for Planning Active Surveillance of Malaria. ASE BD&SI Xiao Gu, Hechang Chen, Bo Yang
2015	—	`conf`	Location based surveillance for early detection of contagious outbreaks. UbiComp/ISWC Adjunct Yuan Bai, Zhanwei Du, Bo Yang, Lauren Ancel Meyers
2015	J	`jnl`	On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking. Knowl. Based Syst. Bo Yang, Hechang Chen, Xuehua Zhao, Masato Naka, Jing Huang
2015	A*	`conf`	On the Scalable Learning of Stochastic Blockmodel. AAAI Bo Yang, Xuehua Zhao
2015	J	`jnl`	Randomization Improving Online Time-Sensitive Revenue Maximization for Green Data Centers. CoRR Huangxin Wang, Jean X. Zhang, Bo Yang, Fei Li
2015	—	`conf`	Randomization improving online time-sensitive revenue maximization for green data centers. IGSC Huangxin Wang, Jean X. Zhang, Bo Yang, Fei Li
2015	—	`conf`	TDRec: Enhancing Social Recommendation Using Both Trust and Distrust Information. ENIC Tiansheng Bai, Bo Yang, Fei Li
2014	J	`jnl`	Community detection for proximity alignment. Integr. Comput. Aided Eng. Bo Yang, Xuehua Zhao, Jing Huang, Dayou Liu
2014	—	`conf`	Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks. PAKDD (1) Xuehua Zhao, Bo Yang, Hechang Chen
2014	J	`jnl`	Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton. Appl. Soft Comput. Xuehua Zhao, Daoliang Li, Bo Yang, Chao Ma, Yungang Zhu, Hui-Ling Chen
2014	A*	`conf`	Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning. AAAI Bo Yang, Hua Guo, Yi Yang, Benyun Shi, Xiao-Nong Zhou, Jiming Liu
2014	A*	`conf`	Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
2014	—	`conf`	Negative energy detector using cellphone bluetooth and contact list. UbiComp Adjunct Zhanwei Du, Chuang Ma, Yongjian Yang, Bo Yang
2014	J	`jnl`	Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy. Appl. Math. Comput. Hui-Ling Chen, Bo Yang, Sujing Wang, Gang Wang, Dayou Liu, Huai Zhong Li, Wenbin Liu
2013	J	`jnl`	A computing approach to agent bidding in continuous double auction. Web Intell. Agent Syst. Zhongyi Zhang, Yanbin Liu, Jiguang Li, Bo Yang, Fanhua Yu, Dayou Liu
2013	J	`jnl`	An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks CoRR Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
2013	J	`jnl`	Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks CoRR Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
2013	J	`jnl`	Decentralized mining social network communities with agents. Math. Comput. Model. Jing Huang, Bo Yang, Di Jin, Yi Yang
2013	J	`jnl`	Discovering link communities in complex networks by exploiting link dynamics CoRR Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang
2013	J	`jnl`	Fast Complex Network Clustering Algorithm Using Agents CoRR Di Jin, Dayou Liu, Bo Yang, Jie Liu
2013	J	`jnl`	Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks CoRR Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
2013	J	`jnl`	Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks. Int. J. Comput. Intell. Syst. Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
2013	J	`jnl`	Hierarchical community detection with applications to real-world network analysis. Data Knowl. Eng. Bo Yang, Di Jin, Jiming Liu, Dayou Liu
2013	J	`jnl`	Markov random walk under constraint for discovering overlapping communities in complex networks CoRR Di Jin, Bo Yang, Carlos Baquero, Dayou Liu, Dongxiao He, Jie Liu
2013	—	`conf`	Outsourcing of Verifiable Composite Modular Exponentiations. INCoS Jie Liu, Bo Yang, Zhiguo Du
2013	A*	`conf`	Social Collaborative Filtering by Trust. IJCAI Bo Yang, Yu Lei, Dayou Liu, Jiming Liu
2012	J	`jnl`	A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis. J. Medical Syst. Hui-Ling Chen, Bo Yang, Gang Wang, Jie Liu, Yi-Dong Chen, Dayou Liu
2012	J	`jnl`	An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks. Adv. Complex Syst. Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
2012	J	`jnl`	Characterizing and Extracting Multiplex Patterns in Complex Networks. IEEE Trans. Syst. Man Cybern. Part B Bo Yang, Jiming Liu, Dayou Liu
2012	J	`jnl`	Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease. J. Medical Syst. Dayou Liu, Hui-Ling Chen, Bo Yang, Xin-En Lv, Li-Na Li, Jie Liu
2012	C	`conf`	Improving the Recommendation of Collaborative Filtering by Fusing Trust Network. CIS Bo Yang, Pengfei Zhao, Shuqiu Ping, Jing Huang
2012	J	`jnl`	On the Spectral Characterization and Scalable Mining of Network Communities. IEEE Trans. Knowl. Data Eng. Bo Yang, Jiming Liu, Jianfeng Feng
2012	J	`jnl`	Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence. J. Medical Syst. Hui-Ling Chen, Bo Yang, Gang Wang, Sujing Wang, Jie Liu, Dayou Liu
2011	B	`conf`	A Random Network Ensemble Model Based Generalized Network Community Mining Algorithm. ASONAM Bo Yang, Jing Huang, Dayou Liu
2011	J	`jnl`	A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis. Expert Syst. Appl. Hui-Ling Chen, Dayou Liu, Bo Yang, Jie Liu, Gang Wang
2011	J	`jnl`	A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method. Knowl. Based Syst. Hui-Ling Chen, Bo Yang, Gang Wang, Jie Liu, Xin Xu, Sujing Wang, Dayou Liu
2011	J	`jnl`	A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis. Expert Syst. Appl. Hui-Ling Chen, Bo Yang, Jie Liu, Dayou Liu
2011	—	`conf`	An Adaptive Fuzzy PAKDD (1) Hui-Ling Chen, Dayou Liu, Bo Yang, Jie Liu, Gang Wang, Sujing Wang
2011	—	`conf`	Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs. PAKDD (2) Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He
2011	J	`jnl`	Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks. Adv. Complex Syst. Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
2011	B	`conf`	Discovering Explorative Patterns from Real-World Complex Networks. ASONAM Bo Yang, Jiming Liu
2011	—	`conf`	Mining Hierarchical Communities from Complex Networks Using Distance-Based Similarity. ISMIS Industrial Session Zhaonan Li, Bo Yang
2010	J	`jnl`	A neural network ensemble method for precision fertilization modeling. Math. Comput. Model. Helong Yu, Dayou Liu, Guifen Chen, Baocheng Wan, Sheng-Sheng Wang, Bo Yang
2010	J	`jnl`	An autonomy-oriented computing approach to community mining in distributed and dynamic networks. Auton. Agents Multi Agent Syst. Bo Yang, Jiming Liu, Dayou Liu
2010	—	`ch.`	Discovering Communities from Social Networks: Methodologies and Applications. Handbook of Social Network Technologies Bo Yang, Dayou Liu, Jiming Liu
2010	J	`jnl`	Multiplex Structures: Patterns of Complexity in Real-World Networks CoRR Bo Yang, Jiming Liu
2009	B	`conf`	A Multi-Agent Based Decentralized Algorithm for Social Network Community Mining. ASONAM Bo Yang, Jing Huang, Dayou Liu, Jiming Liu
2009	C	`conf`	Fast Complex Network Clustering Algorithm Using Agents. DASC Di Jin, Dayou Liu, Bo Yang, Jie Liu
2008	J	`jnl`	Discovering global network communities based on local centralities. ACM Trans. Web Bo Yang, Jiming Liu
2008	—	`conf`	On Modularity of Social Network Communities: The Spectral Characterization. Web Intelligence Bo Yang, Jiming Liu, Jianfeng Feng, Dayou Liu
2007	J	`jnl`	A Heuristic Clustering Algorithm for Mining Communities in Signed Networks. J. Comput. Sci. Technol. Bo Yang, Dayou Liu
2007	—	`conf`	An Autonomy Oriented Computing (AOC) Approach to Distributed Network Community Mining. SASO Bo Yang, Jiming Liu
2007	—	`conf`	An Efficient Probabilistic Approach to Network Community Mining. RSKT Bo Yang, Jiming Liu
2007	J	`jnl`	Community Mining from Signed Social Networks. IEEE Trans. Knowl. Data Eng. Bo Yang, William K. Cheung, Jiming Liu
2007	—	`conf`	Process Mining: Extending APWeb/WAIM Workshops Jiafei Li, Dayou Liu, Bo Yang
2006	J	`jnl`	Force-Based Incremental Algorithm for Mining Community Structure in Dynamic Network. J. Comput. Sci. Technol. Bo Yang, Dayou Liu
2006	C	`conf`	Self-Organizing Network Evolving Model for Mining Network Community Structure. ADMA Bo Yang
2003	J	`jnl`	Towards efficient resource on-demand in Grid Computing. ACM SIGOPS Oper. Syst. Rev. Kun Yang, Xin Guo, Alex Galis, Bo Yang, Dayou Liu