A reinforcement learning algorithm for two-dimensional irregular packing problems. - Jie Fang; Yunqing Rao; Xiaoqiang Guo; Xusheng Zhao (ACAI, 2021)

New Accounting Standards and Earnings Conservatism: based on descriptive statistics and earnings stock return models. - Xusheng Zhao (ICCIR, 2021)

Sequence Transfer-Based Particle Swarm Optimization Algorithm for Irregular Packing Problems. - Jie Fang; Yunqing Rao; Pan Liu; Xusheng Zhao (IEEE Access, 2021)

Deep reinforcement learning guided graph neural networks for brain network analysis. - Xusheng Zhao; Jia Wu 001; Hao Peng 001; Amin Beheshti; Jessica J. M. Monaghan; David McAlpine; Heivet Hernandez-Perez; Mark Dras; Qiong Dai; Yangyang Li; Philip S. Yu; Lifang He 001 (Neural Networks, 2022)

Skeleton Curve-Guided Five-Axis Sweep Scanning for Surface With Multiple Holes. - Yang Zhang 082; Limin Zhu 001; Pengyu Zhao; Pengcheng Hu; Xusheng Zhao (IEEE Trans Autom. Sci. Eng., 2022)

Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction. - Xusheng Zhao; Hao Liu; Qiong Dai; Hao Peng 001; Xu Bai; Huailiang Peng (BIBM, 2023)

A Q-learning-based algorithm for the 2D-rectangular packing problem. - Xusheng Zhao; Yunqing Rao; Ronghua Meng; Jie Fang (Soft Comput., 2023)

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. - Xusheng Zhao; Qiong Dai; Jia Wu 001; Hao Peng 001; Mingsheng Liu; Xu Bai; Jianlong Tan; Senzhang Wang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. - Xusheng Zhao; Hao Peng 001; Qiong Dai; Xu Bai; Huailiang Peng; Yanbing Liu; Qinglang Guo; Philip S. Yu (WSDM, 2024)

Hybrid-biased genetic algorithm for packing unequal rectangles into a fixed-size circle. - Qiang Luo; Yunqing Rao; Piaoruo Yang; Xusheng Zhao (Comput. Oper. Res., 2024)

Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval. - Xusheng Zhao; Jinglei Liu (Knowl. Based Syst., 2024)

Solving rectangular strip packing problem with reinforcement learning: a comparative case study. - Xusheng Zhao; Yunqing Rao; Sirui Wang; Nai Li (RAIRO Oper. Res., 2025)

Reinforced GNNs for Multiple Instance Learning. - Xusheng Zhao; Qiong Dai; Xu Bai; Jia Wu 001; Hao Peng 001; Huailiang Peng; Zhengtao Yu 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

EIFA-KD: Explicit and implicit feature augmentation with knowledge distillation for long-tailed visual data classification. - Xiyan Deng; Xiaoli Wang 001; Yifan Sun; Xusheng Zhao; Siju Tian; Minqi Li; Yuping Wang 003 (Pattern Recognit., 2026)