Login / Signup
Xusheng Zhao
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 13
Top Topics
Neural Network
Packing Problem
Dependency Graph
Reinforcement Learning
Top Venues
CoRR
Soft Comput.
Comput. Oper. Res.
ICCIR
</>
Publications
</>
Qiang Luo
,
Yunqing Rao
,
Piaoruo Yang
,
Xusheng Zhao
Hybrid-biased genetic algorithm for packing unequal rectangles into a fixed-size circle.
Comput. Oper. Res.
169 (2024)
Xusheng Zhao
,
Hao Peng
,
Qiong Dai
,
Xu Bai
,
Huailiang Peng
,
Yanbing Liu
,
Qinglang Guo
,
Philip S. Yu
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
WSDM
(2024)
Xusheng Zhao
,
Hao Liu
,
Qiong Dai
,
Hao Peng
,
Xu Bai
,
Huailiang Peng
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
CoRR
(2023)
Xusheng Zhao
,
Hao Peng
,
Qiong Dai
,
Xu Bai
,
Huailiang Peng
,
Yanbing Liu
,
Qinglang Guo
,
Philip S. Yu
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
CoRR
(2023)
Xusheng Zhao
,
Qiong Dai
,
Jia Wu
,
Hao Peng
,
Mingsheng Liu
,
Xu Bai
,
Jianlong Tan
,
Senzhang Wang
,
Philip S. Yu
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng.
35 (4) (2023)
Xusheng Zhao
,
Yunqing Rao
,
Ronghua Meng
,
Jie Fang
A Q-learning-based algorithm for the 2D-rectangular packing problem.
Soft Comput.
27 (17) (2023)
Xusheng Zhao
,
Hao Liu
,
Qiong Dai
,
Hao Peng
,
Xu Bai
,
Huailiang Peng
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
BIBM
(2023)
Xusheng Zhao
,
Jia Wu
,
Hao Peng
,
Amin Beheshti
,
Jessica Monaghan
,
David McAlpine
,
Heivet Hernandez-Perez
,
Mark Dras
,
Qiong Dai
,
Yangyang Li
,
Philip S. Yu
,
Lifang He
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis.
CoRR
(2022)
Yang Zhang
,
Limin Zhu
,
Pengyu Zhao
,
Pengcheng Hu
,
Xusheng Zhao
Skeleton Curve-Guided Five-Axis Sweep Scanning for Surface With Multiple Holes.
IEEE Trans Autom. Sci. Eng.
19 (3) (2022)
Xusheng Zhao
,
Jia Wu
,
Hao Peng
,
Amin Beheshti
,
Jessica J. M. Monaghan
,
David McAlpine
,
Heivet Hernandez-Perez
,
Mark Dras
,
Qiong Dai
,
Yangyang Li
,
Philip S. Yu
,
Lifang He
Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks
154 (2022)
Xusheng Zhao
New Accounting Standards and Earnings Conservatism: based on descriptive statistics and earnings stock return models.
ICCIR
(2021)
Jie Fang
,
Yunqing Rao
,
Xiaoqiang Guo
,
Xusheng Zhao
A reinforcement learning algorithm for two-dimensional irregular packing problems.
ACAI
(2021)
Jie Fang
,
Yunqing Rao
,
Pan Liu
,
Xusheng Zhao
Sequence Transfer-Based Particle Swarm Optimization Algorithm for Irregular Packing Problems.
IEEE Access
9 (2021)