Xusheng Zhao

18 papers A 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dynamic clustering search algorithm for the rectangular strip packing problem.
Appl. Soft Comput.
Xusheng Zhao, Yunqing Rao, Peng Qi, Qianhang Lyu, Jiatai Xu, Xiaochen Wan
2026 J jnl
EIFA-KD: Explicit and implicit feature augmentation with knowledge distillation for long-tailed visual data classification.
Pattern Recognit.
Xiyan Deng, Xiaoli Wang, Yifan Sun, Xusheng Zhao, Siju Tian, Minqi Li, Yuping Wang
2025 J jnl
Reinforced GNNs for Multiple Instance Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xusheng Zhao, Qiong Dai, Xu Bai, Jia Wu, Hao Peng, Huailiang Peng, Zhengtao Yu, Philip S. Yu
2025 J jnl
Solving rectangular strip packing problem with reinforcement learning: a comparative case study.
RAIRO Oper. Res.
Xusheng Zhao, Yunqing Rao, Sirui Wang, Nai Li
2024 J jnl
Hybrid-biased genetic algorithm for packing unequal rectangles into a fixed-size circle.
Comput. Oper. Res.
Qiang Luo, Yunqing Rao, Piaoruo Yang, Xusheng Zhao
2024 J jnl
Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval.
Knowl. Based Syst.
Xusheng Zhao, Jinglei Liu
2024 A conf
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
WSDM
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2023 J jnl
A Q-learning-based algorithm for the 2D-rectangular packing problem.
Soft Comput.
Xusheng Zhao, Yunqing Rao, Ronghua Meng, Jie Fang
2023 J jnl
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng.
Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu
2023 — conf
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
BIBM
Xusheng Zhao, Hao Liu, Qiong Dai, Hao Peng, Xu Bai, Huailiang Peng
2023 J jnl
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
CoRR
Xusheng Zhao, Hao Liu, Qiong Dai, Hao Peng, Xu Bai, Huailiang Peng
2023 J jnl
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
CoRR
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2022 J jnl
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis.
CoRR
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
2022 J jnl
Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks
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
2022 J jnl
Skeleton Curve-Guided Five-Axis Sweep Scanning for Surface With Multiple Holes.
IEEE Trans Autom. Sci. Eng.
Yang Zhang, LiMin Zhu, Pengyu Zhao, Pengcheng Hu, Xusheng Zhao
2021 — conf
A reinforcement learning algorithm for two-dimensional irregular packing problems.
ACAI
Jie Fang, Yunqing Rao, Xiaoqiang Guo, Xusheng Zhao
2021 — conf
New Accounting Standards and Earnings Conservatism: based on descriptive statistics and earnings stock return models.
ICCIR
Xusheng Zhao
2021 J jnl
Sequence Transfer-Based Particle Swarm Optimization Algorithm for Irregular Packing Problems.
IEEE Access
Jie Fang, Yunqing Rao, Pan Liu, Xusheng Zhao