Ontology-based modeling of manufacturing information and its semantic retrieval. - Shaoshuai Li; Lihong Qiao (CSCWD, 2012)

Research of Science and Technology Strategic Base on the International Technology Roadmap for Semiconductors. - Xiaopei Zhang; Shaoshuai Li; Hejun Yu (EEET, 2018)

SVNet: A Single View Network for 3D Shape Recognition. - Shaoshuai Li; Fuyan Liu (ICME, 2019)

On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy. - Dingchuan Xue; Yichao Zhu; Shaoshuai Li; Chang Liu 003; Weisheng Zhang; Xu Guo (CoRR, 2019)

Optimisation of spatially varying orthotropic porous structures based on conformal mapping. - Shaoshuai Li; Yichao Zhu; Xu Guo (CoRR, 2021)

HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Bing Han 017; Lin Zheng 003; Kai-Xin Gao; Xiaobo Guo (CoRR, 2021)

Stiffness optimisation of graded microstructal configurations using asymptotic analysis and machine learning. - Chuang Ma; Dingchuan Xue; Shaoshuai Li; Zhengcheng Zhou; Yichao Zhu; Xu Guo (CoRR, 2021)

A Hybrid Model for Power-on Time Prediction in LF Based on Deep Neural Network and Metallurgical Mechanism. - Xin Shao; Qing Liu; Tao Zhou; Shaoshuai Li (ISCID, 2022)

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. - Wujiang Xu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Xiaobo Guo; Bing Han; Junchi Yan; Yifei Xu (CoRR, 2022)

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Kai-Xin Gao; Bing Han 017; Lin Zheng 003; Xiaobo Guo (CoRR, 2022)

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation. - Ying Chen; Siwei Qiang; Mingming Ha; Xiaolei Liu; Shaoshuai Li; Lingfeng Yuan; Xiaobo Guo; Zhenfeng Zhu (CoRR, 2022)

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. - Wujiang Xu; Runzhong Wang; Xiaobo Guo; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Zhenfeng Zhu; Junchi Yan (ICASSP, 2023)

Neural Node Matching for Multi-Target Cross Domain Recommendation. - Wujiang Xu; Shaoshuai Li; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Xiaolei Liu; Linxun Chen; Zhenfeng Zhu (ICDE, 2023)

Towards Universal Cross-Domain Recommendation. - Jiangxia Cao; Shaoshuai Li; Bowen Yu 002; Xiaobo Guo; Tingwen Liu; Bin Wang 004 (WSDM, 2023)

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Kaixin Gao; Bing Han 017; Lin Zheng 003; Sheng Guo 005; Xiaobo Guo (ACM Trans. Inf. Syst., 2023)

Disentangled Representations Learning for Multi-target Cross-domain Recommendation. - Xiaobo Guo; Shaoshuai Li; Naicheng Guo; Jiangxia Cao; Xiaolei Liu; Qiongxu Ma; Runsheng Gan; Yunan Zhao (ACM Trans. Inf. Syst., 2023)

A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks. - Xiaolei Liu; Shaoshuai Li; Kaixin Gao; Binfeng Wang (NeurIPS, 2024)

Deep learning in cropland field identification: A review. - Fan Xu; Xiaochuang Yao; Kangxin Zhang; Hao Yang; Quanlong Feng; Ying Li 048; Shuai Yan; Bingbo Gao; Shaoshuai Li; Jianyu Yang 005; Chao Zhang 081; Yahui Lv; et al. (Comput. Electron. Agric., 2024)

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction. - Youru Li; Zhenfeng Zhu; Xiaobo Guo; Shaoshuai Li; Yuchen Yang; Yao Zhao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation. - Ying Chen; Siwei Qiang; Mingming Ha; Xiaolei Liu; Shaoshuai Li; Jiabi Tong; Lingfeng Yuan; Xiaobo Guo; Zhenfeng Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation. - Xiaobo Guo; Mingming Ha; Xuewen Tao; Shaoshuai Li; Youru Li; Zhenfeng Zhu; Zhiyong Shen; Li Ma (ACM Trans. Knowl. Discov. Data, 2024)

Optimization of power output in plateau photovoltaic power stations using a hybrid Kepler and Gaussian quantum particle swarm algorithm. - Shuang Gan; Heng Hu; Shaoshuai Li; Qian Peng; Taidong Yan; Huasheng Gong; Yuancheng Zhang (Discov. Artif. Intell., 2025)