Bo Yang

About Bo Yang

Bo Yang, With an exceptional h-index of 26 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Electronic Science and Technology of China, specializes in the field of Machine Learning, Data Mining, Recommender System, Knowledge Graph, Cloud Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Separating hard clean samples from noisy samples with samples’ learning risk for DNN when learning with noisy labels

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

Popularity-aware sequential recommendation with user desire

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

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

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

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

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

Bo Yang Information

University

Position

School of Computer Science and Engineering

Citations(all)

2948

Citations(since 2020)

1115

Cited By

2223

hIndex(all)

26

hIndex(since 2020)

19

i10Index(all)

48

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Bo Yang Skills & Research Interests

Machine Learning

Data Mining

Recommender System

Knowledge Graph

Cloud Computing

Top articles of Bo Yang

Title

Journal

Author(s)

Publication Date

Separating hard clean samples from noisy samples with samples’ learning risk for DNN when learning with noisy labels

Complex & Intelligent Systems

Lihui Deng

Bo Yang

Zhongfeng Kang

Jiajin Wu

Shaosong Li

...

2024/3/1

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

Expert Systems with Applications

Hao Xu

Bo Yang

Xiangkun Liu

2024/7/1

Popularity-aware sequential recommendation with user desire

Expert Systems with Applications

Jiajin Wu

Bo Yang

Runze Mao

Qing Li

2024/3/1

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

Expert Systems with Applications

Zhu Zhang

Bo Yang

Hao Xu

Wang Hu

2024/5/15

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

Neural Networks

Lihui Deng

Bo Yang

Zhongfeng Kang

Yanping Xiang

2024/4/1

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

Expert Systems with Applications

Yihu Zhang

Bo Yang

Runze Mao

Qing Li

2024/3/15

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

Applied Soft Computing

Yihu Zhang

Bo Yang

Haodong Liu

Dongsheng Li

2023/1/1

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

Applied Intelligence

Jingkuan Wang

Bo Yang

Haodong Liu

Dongsheng Li

2023/7

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

Applied Soft Computing

Jiajin Wu

Bo Yang

Dongsheng Li

Lihui Deng

2023/1/1

Causal inference multi-agent reinforcement learning for traffic signal control

Information Fusion

Shantian Yang

Bo Yang

Zheng Zeng

Zhongfeng Kang

2023/6/1

Partial feedback online transfer learning with multi-source domains

Information Fusion

Zhongfeng Kang

Mads Nielsen

Bo Yang

Mostafa Mehdipour Ghazi

2023/1/1

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

Applied Intelligence

Shaosong Li

Bo Yang

Dongsheng Li

2023/5

Relative Prediction Probability based Label Correction Method for DNN when Learning with Noisy Labels in Class Imbalanced Dataset

Lihui Deng

Bo Yang

Dian Wang

Yanping Xiang

2023/11/10

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

Yaohai Zeng

Bo Yang

Jie Gu

2023/4/21

Relevance-aware graph neural network for session-based recommendation

Computing

Yaohai Zeng

Bo Yang

Xiangchao Wen

Dongsheng Li

2023/10

Online transfer learning with partial feedback

Expert Systems with Applications

Zhongfeng Kang

Mads Nielsen

Bo Yang

Lihui Deng

Stephan Sloth Lorenzen

2023/2/1

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

Applied Intelligence

Xiangkun Liu

Bo Yang

Jingyu Xu

2023/9

Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks

Entropy

Xianglin Zuo

Tianhao Jia

Xin He

Bo Yang

Ying Wang

2022/11/24

Category-aware multi-relation heterogeneous graph neural networks for session-based recommendation

Knowledge-Based Systems

Hao Xu

Bo Yang

Xiangkun Liu

Wenqi Fan

Qing Li

2022/9/5

Exhaustive exploitation of local seeding algorithms for community detection in a unified manner

Mathematics

Yanmei Hu

Bo Yang

Bin Duo

Xing Zhu

2022/8/8

See List of Professors in Bo Yang University(University of Electronic Science and Technology of China)

Co-Authors

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