Bo Yang

According to our database, Bo Yang authored at least 79 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: Mitigating selection bias in counterfactual prediction through self-supervised domain embedding learning with virtual samples.

Qianyang Zhu, Heyuan Sun, Bo Yang

Appl. Intell., November, 2024

Mitigating selection bias in counterfactual prediction through self-supervised domain embedding learning with virtual samples.

Qianyang Zhu, Heyuan Sun, Bo Yang

Appl. Intell., April, 2024

MGT: Multi-Granularity Transformer leveraging multi-level relation for sequential recommendation.

Yihu Zhang, Bo Yang, Runze Mao, Qing Li

Expert Syst. Appl., March, 2024

Popularity-aware sequential recommendation with user desire.

Jiajin Wu, Bo Yang, Runze Mao, Qing Li

Expert Syst. Appl., March, 2024

Invariant feature based label correction for DNN when Learning with Noisy Labels.

Lihui Deng, Bo Yang, Zhongfeng Kang, Yanping Xiang

Neural Networks, 2024

A global contextual enhanced structural-aware transformer for sequential recommendation.

Zhu Zhang, Bo Yang, Xingming Chen, Qing Li

Knowl. Based Syst., 2024

Multi-level category-aware graph neural network for session-based recommendation.

Zhu Zhang, Bo Yang, Hao Xu, Wang Hu

Expert Syst. Appl., 2024

Reverse-graph enhanced graph neural networks for session-based recommendation.

Hao Xu, Bo Yang, Xiangkun Liu

Expert Syst. Appl., 2024

MCL4SRec: A Sequential Recommendation Model with Multi-level Contrastive Learning.

Zhuohan Hu, Bo Yang, Jialiang Lin, Jiajin Wu, Wei Liu

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Relevance-aware graph neural network for session-based recommendation.

Yaohai Zeng, Bo Yang, Xiangchao Wen, Dongsheng Li

Computing, October, 2023

SKGCR: self-supervision enhanced knowledge-aware graph collaborative recommendation.

Xiangkun Liu, Bo Yang, Jingyu Xu

Appl. Intell., September, 2023

Global spatio-temporal aware graph neural network for next point-of-interest recommendation.

Jingkuan Wang, Bo Yang, Haodong Liu, Dongsheng Li

Appl. Intell., July, 2023

Causal inference multi-agent reinforcement learning for traffic signal control.

Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang

Inf. Fusion, June, 2023

Entity-driven user intent inference for knowledge graph-based recommendation.

Shaosong Li, Bo Yang, Dongsheng Li

Appl. Intell., May, 2023

A time-aware self-attention based neural network model for sequential recommendation.

Yihu Zhang, Bo Yang, Haodong Liu, Dongsheng Li

Appl. Soft Comput., January, 2023

Graph Collaborative Filtering Based on Dual-Message Propagation Mechanism.

Haodong Liu, Bo Yang, Dongsheng Li

IEEE Trans. Cybern., 2023

Partial feedback online transfer learning with multi-source domains.

Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi

Inf. Fusion, 2023

Online transfer learning with partial feedback.

Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen

Expert Syst. Appl., 2023

A semantic relation-aware deep neural network model for end-to-end conversational recommendation.

Jiajin Wu, Bo Yang, Dongsheng Li, Lihui Deng

Appl. Soft Comput., 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Incorporating Multiple Relations into Multi-task Learning for Session-Based Recommendation.

Yaohai Zeng, Bo Yang, Jie Gu

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022

Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation.

Hao Xu, Bo Yang, Xiangkun Liu, Wenqi Fan, Qing Li

Knowl. Based Syst., 2022

An inductive heterogeneous graph attention-based multi-agent deep graph infomax algorithm for adaptive traffic signal control.

Shantian Yang, Bo Yang

Inf. Fusion, 2022

A buffered online transfer learning algorithm with multi-layer network.

Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang

Neurocomputing, 2022

2021

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering.

Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang

ACM Trans. Knowl. Discov. Data, 2021

IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control.

Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng

Neural Networks, 2021

A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction.

Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu

Neural Networks, 2021

A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control.

Shantian Yang, Bo Yang

Knowl. Based Syst., 2021

A Meta Multi-agent Reinforcement Learning Algorithm for Multi-intersection Traffic Signal Control.

Shantian Yang, Bo Yang

Proceedings of the IEEE Intl Conf on Dependable, 2021

A Review Construction-based Approach to Collaborative Filtering.

Bo Yang, Hui Liu, Jicheng Lei, Dongsheng Li, Peng Wang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

IKAN: Interactive Knowledge-aware Attention Network for Recommendation.

Shihu Wu, Bo Yang, Yihu Zhang, Yaohai Zeng

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction.

Mingjie Tang, Bo Yang, Hao Xu

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

CLDA: an adversarial unsupervised domain adaptation method with classifier-level adaptation.

Zhihai He, Bo Yang, Chaoxian Chen, Qilin Mu, Zesong Li

Multim. Tools Appl., 2020

Memory-aware gated factorization machine for top-N recommendation.

Bo Yang, Jing Chen, Zhongfeng Kang, Dongsheng Li

Knowl. Based Syst., 2020

Online transfer learning with multiple source domains for multi-class classification.

Zhongfeng Kang, Bo Yang, Shantian Yang, Xiaomei Fang, Changjian Zhao

Knowl. Based Syst., 2020

Attention-based Bidirectional Long Short-Term Memory Networks for Relation Classification Using Knowledge Distillation from BERT.

Zihan Wang, Bo Yang

Proceedings of the IEEE Intl Conf on Dependable, 2020

Selective Self-attention with BIO Embeddings for Distant Supervision Relation Extraction.

Mingjie Tang, Bo Yang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

2019

Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm.

Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang

Knowl. Based Syst., 2019

OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification.

Zhongfeng Kang, Bo Yang, Zesong Li, Peng Wang

Knowl. Based Syst., 2019

Correlation filter-based visual tracking via holistic and reliable local parts.

Chunbao Li, Bo Yang

J. Electronic Imaging, 2019

Adaptive Weighted CNN Features Integration for Correlation Filter Tracking.

Chunbao Li, Bo Yang

IEEE Access, 2019

A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors.

Bo Yang, Qilin Mu, Hairui Zou, Yancheng Zeng, Hau-San Wong, Zesong Li, Peng Wang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Region-based High-resolution Siamese Network for Robust Visual Tracking.

Chunbao Li, Bo Yang

Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

Hybrid Collaborative Filtering with Semi-Stacked Denoising Autoencoders for Recommendation.

Hairui Zou, Chaoxian Chen, Changjian Zhao, Bo Yang, Zhongfeng Kang

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

A Gradient Tree Boosting based Approach to Rumor Detecting on Sina Weibo.

Xiao Xiong, Bo Yang, Zhongfeng Kang

CoRR, 2018

Never-ending learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Commun. ACM, 2018

2017

Erratum to: Characterizing the structure of large real networks to improve community detection.

Yanmei Hu, Bo Yang

Neural Comput. Appl., 2017

Characterizing the structure of large real networks to improve community detection.

Yanmei Hu, Bo Yang

Neural Comput. Appl., 2017

A Study of Optimal Multi-server System Configuration with Variate Deadlines and Rental Prices in Cloud Computing.

Zhongfeng Kang, Bo Yang

Proceedings of the Human Centered Computing - Third International Conference, 2017

2016

A local dynamic method for tracking communities and their evolution in dynamic networks.

Yanmei Hu, Bo Yang, Chenyang Lv

Knowl. Based Syst., 2016

A Multi-objective Optimization Approach to Workflow Scheduling in Clouds Considering Fault Recovery.

Heyang Xu, Bo Yang, Weiwei Qi, Emmanuel Ahene

KSII Trans. Internet Inf. Syst., 2016

A weighted local view method based on observation over ground truth for community detection.

Yanmei Hu, Bo Yang, Hau-San Wong

Inf. Sci., 2016

2015

An Architecture-Based Multi-Objective Optimization Approach to Testing Resource Allocation.

Bo Yang, Yanmei Hu, Chin-Yu Huang

IEEE Trans. Reliab., 2015

Enhanced link clustering with observations on ground truth to discover social circles.

Yanmei Hu, Bo Yang

Knowl. Based Syst., 2015

An incentive-based heuristic job scheduling algorithm for utility grids.

Heyang Xu, Bo Yang

Future Gener. Comput. Syst., 2015

Voting Based Seeding Algorithm for Overlapping Community Detection.

Yanmei Hu, Kaiyang Hu, Bo Yang, Nan Zhang, Xiaohui Gu

Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015

2014

An Efficient Merkle-Tree-Based Authentication Scheme for Smart Grid.

Hongwei Li, Rongxing Lu, Liang Zhou, Bo Yang, Xuemin Shen

IEEE Syst. J., 2014

2013

Performance evaluation of cloud service considering fault recovery.

Bo Yang, Feng Tan, Yuan-Shun Dai

J. Supercomput., 2013

2012

Software Maintainability Prediction Model Based on Fuzzy Neural Network.

Lixin Jia, Bo Yang, Dong Ho Park, Feng Tan, Minjae Park

J. Multiple Valued Log. Soft Comput., 2012

2011

Identity-Based Cryptography for Cloud Security.

Hongwei Li, Yuanshun Dai, Bo Yang

IACR Cryptol. ePrint Arch., 2011

An utility-based job scheduling algorithm for Cloud computing considering reliability factor.

Bo Yang, Xiaofei Xu, Feng Tan, Dong Ho Park

Proceedings of the 2011 International Conference on Cloud and Service Computing, 2011

2010

A generic data-driven software reliability model with model mining technique.

Bo Yang, Xiang Li, Min Xie, Feng Tan

Reliab. Eng. Syst. Saf., 2010

Software Reliability Modeling Considering Fault Correction Process.

Lixin Jia, Bo Yang, Suchang Guo, Dong Ho Park

IEICE Trans. Inf. Syst., 2010

2009

Cost-oriented task allocation and hardware redundancy policies in heterogeneous distributed computing systems considering software reliability.

Bo Yang, Huajun Hu, Suchang Guo

Comput. Ind. Eng., 2009

Optimal testing resource allocation during module testing considering cost, testing effort and reliability.

P. C. Jha, Deepali Gupta, Bo Yang, P. K. Kapur

Comput. Ind. Eng., 2009

Design Optimization under Aleatory and Epistemic Uncertainties.

Juan Wei, Bo Yang, Wei Liu

Proceedings of the Eighth IEEE International Conference on Dependable, 2009

Performance Evaluation of Cloud Service Considering Fault Recovery.

Bo Yang, Feng Tan, Yuan-Shun Dai, Suchang Guo

Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009

2008

A Study of Uncertainty in Software Cost and Its Impact on Optimal Software Release Time.

Bo Yang, Huajun Hu, Lixin Jia

IEEE Trans. Software Eng., 2008

Ranking of customer requirements in a competitive environment.

Xin Lai, Min Xie, Kay-Chuan Tan, Bo Yang

Comput. Ind. Eng., 2008

2007

Early Software Quality Prediction Based on a Fuzzy Neural Network Model.

Bo Yang, Lan Yao, Hong-Zhong Huang

Proceedings of the Third International Conference on Natural Computation, 2007

2006

Addressing quality attributes in domain analysis for product lines.

Stan Jarzabek, Bo Yang, S. Yoeun

IEE Proc. Softw., 2006

2005

Simple normalization of multi-temporal thermal ir data and applied research on the monitoring of typical coal fires in Northern China.

Bo Yang, Yunhao Chen, Jing Li, Adu Gong, Claudia Künzer, Jianzhong Zhang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004

A packing algorithm for non-manhattan hexagon/triangle placement design by using an adaptive o-tree representation.

Jing Li, Tan Yan, Bo Yang, Juebang Yu, Chunhui Li

Proceedings of the 41th Design Automation Conference, 2004

2003

A Study of the Effect of Imperfect Debugging on Software Development Cost.

Min Xie, Bo Yang

IEEE Trans. Software Eng., 2003

A simple goodness-of-fit test for the power-law process, based on the Duane plot.

Olivier Gaudoin, Bo Yang, Min Xie

IEEE Trans. Reliab., 2003

Optimal testing-resource allocation with genetic algorithm for modular software systems.

Yuan-Shun Dai, Min Xie, Kim-Leng Poh, Bo Yang

J. Syst. Softw., 2003

Quality Prediction and Assessment for Product Lines.

Hongyu Zhang, Stan Jarzabek, Bo Yang

Proceedings of the Advanced Information Systems Engineering, 15th International Conference, 2003

2000

A study of operational and testing reliability in software reliability analysis.

Bo Yang, Min Xie

Reliab. Eng. Syst. Saf., 2000

1999

Testing-Resource Allocation for Redundant Software Systems.

Bo Yang, Min Xie

Proceedings of the 1999 Pacific Rim International Symposium on Dependable Computing (PRDC 1999), 1999