An Ergonomics Study of Menu-Operation on Mobile Phone Interface. - Xuemin Zhang; Wen Shan; Qin Xu; Bin Yang; Yun-Feng Zhang (IITA, 2007)

An Ergonomic Study of the Efficiency of the Mobile Shortcuts and Page-Turning Keys in Chinese Users. - Xuemin Zhang; Renlai Zhou; Bin Yang; Wen Shan; Qin Xu (WKDD, 2008)

Projective Feature Learning for 3D Shapes with Multi-View Depth Images. - Zhige Xie; Kai Xu 004; Wen Shan; Ligang Liu 001; Yueshan Xiong; Hui Huang 004 (Comput. Graph. Forum, 2015)

Construction of Manifolds via Compatible Sparse Representations. - Ruimin Wang; Ligang Liu 001; Zhouwang Yang; Kang Wang; Wen Shan; Jiansong Deng; Falai Chen (ACM Trans. Graph., 2016)

News Insider: Innovating News Understanding to Improve the Quality of Reading Experience. - Zhengkui Wang; Soumyadeb Chowdhury; Malcolm Yoke Hean Low; Wen Shan (ACCC, 2021)

Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion. - Yan Chu 001; Zhengkui Wang; Lina Wang; Qingchao Zhao; Wen Shan (KSEM, 2021)

Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. - Qingchao Zhao; Jing Yang 010; Zhengkui Wang; Yan Chu 001; Wen Shan; Isfaque Al Kaderi Tuhin (KSEM, 2021)

EfficientFCOS: An Efficient One-stage Object Detection Model based on FCOS. - Yan Chu 001; Jianpeng Guo; Wen Shan; Zhengkui Wang (CSCWD, 2022)

Density Division Face Clustering Based on Graph Convolutional Networks. - Qingchao Zhao; Long Li; Yan Chu 001; Zhengkui Wang; Wen Shan (ICPR, 2022)

Efficient Supervised Image Clustering Based on Density Division and Graph Neural Networks. - Qingchao Zhao; Long Li; Yan Chu 001; Zhen Yang; Zhengkui Wang; Wen Shan (Remote. Sens., 2022)

Image Segmentation with Vision-Language Models. - Lihu Pan 001; Yunting Yang; Zhengkui Wang; Rui Zhang 082; Wen Shan; Jiashu Li (CSAI, 2023)

Imbalanced Few-Shot Learning Based on Meta-transfer Learning. - Yan Chu 001; Xianghui Sun; Songhao Jiang; Tianwen Xie; Zhengkui Wang; Wen Shan (ICANN (8), 2023)

User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. - Haiyang Wang; Yan Chu 001; Hui Ning; Zhengkui Wang; Wen Shan (KSEM (3), 2023)

Limited-Supervised Multi-Label Learning with Dependency Noise. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Wen Shan; Xingwei Wang 001 (AAAI, 2024)

Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. - Yuan Li 008; Xiuxu Chen; Yuhai Zhao; Wen Shan; Zhengkui Wang; Guoli Yang; Guoren Wang (ICDE, 2024)

Towards Robust Multi-Label Learning against Dirty Label Noise. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Meixia Wang; Min Huang 001; Xingwei Wang 001 (IJCAI, 2024)

Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data. - Lihu Pan 001; Xiaohua Li; Zhengkui Wang; Rui Zhang 082; Nan Yang; Wen Shan (IJCNN, 2024)

Open-Vocabulary And Multitask Image Segmentation. - Lihu Pan 001; Yunting Yang; Zhengkui Wang; Wen Shan; Jiali Yin (SAC, 2024)

Graph Contrastive Learning with Progressive Augmentations. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Xingwei Wang 001 (KDD (1), 2025)

Bi-directional supervised clustering via graph convolutional networks for very large categories of data. - Yang Xiao; Zhengkui Wang; Qingchao Zhao; Wen Shan; Yan Chu 001 (Inf. Sci., 2025)