A Category on the Cache Invalidation for Wireless Mobile Environments. - Jianpei Zhang; Yan Chu 001; Jing Yang 010 (APWeb Workshops, 2006)

Cache Management Based on an Ant Colony Model in Wireless Mobile Environments. - Yan Chu 001; Jianpei Zhang (IMSCCS, 2007)

Community identification based on clustering coefficient. - Jinbo Bai; Hongbo Li; Yan Chu 001 (CHINACOM, 2011)

Network soft partition based on topological potential. - Jianpei Zhang; Hongbo Li; Jing Yang 010; Jinbo Bai; Yan Chu 001 (CHINACOM, 2011)

Scalable Data Cube Analysis over Big Data. - Zhengkui Wang; Yan Chu 001; Kian-Lee Tan; Divyakant Agrawal; Amr El Abbadi; Xiaolong Xu (CoRR, 2013)

A flexible and reliable recommendation algorithm in intelligent transportation system. - Lei Yang; Yan Chu 001; Guangyu Li; Xingmei Wang; Linlin Xia; Zhengkui Wang; Kian-Lee Tan (ICDIM, 2015)

Transfer learning over big data. - Lei Yang; Yan Chu 001; Jianpei Zhang; Linlin Xia; Zhengkui Wang; Kian-Lee Tan (ICDIM, 2015)

Transfer Learning in Large-Scale Short Text Analysis. - Yan Chu 001; Zhengkui Wang; Man Chen; Linlin Xia; Fengmei Wei; Mengnan Cai (KSEM, 2015)

HaCube: Extending MapReduce for Efficient OLAP Cube Materialization and View Maintenance. - Zhengkui Wang; Yan Chu 001; Kian-Lee Tan; Divyakant Agrawal; Amr El Abbadi (DASFAA (2), 2016)

TRSO: A Tourism Recommender System Based on Ontology. - Yan Chu 001; Hongbin Wang; Liying Zheng; Zhengkui Wang; Kian-Lee Tan (KSEM, 2016)

EFAV-MERD: Expected Forwarding Area Volume and Residual Distance Mathematic Expectation Routing Protocol for UASNs. - Haitao Yu 004; Qingwen Wang 002; Nianmin Yao; Yan Chu 001; Maojie Zhou; Yingrui Ma (SpaCCS Workshops, 2017)

SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features. - Xu Yu 001; Yan Chu 001; Feng Jiang; Ying Guo 007; Dunwei Gong (Knowl. Based Syst., 2018)

An Attention-Based Recommendation Algorithm. - Yan Chu 001; Shuhao Qi; Yue Yang; Chenqi Shan; Lina Wang; Zhengkui Wang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network. - Enhan Liu; Yan Chu 001; Lan Luan; Guang Li; Zhengkui Wang (KSEM (1), 2019)

Object Tracking Based on Compressive Features and Extreme Learning Machine. - Enhan Liu; Yan Chu 001; Liying Zheng (IEEE Access, 2019)

SecureAS: A Vulnerability Assessment System for Deep Neural Network Based on Adversarial Examples. - Yan Chu 001; Xiao Yue; Quan Wang; Zhengkui Wang (IEEE Access, 2020)

Automatic Image Captioning Based on ResNet50 and LSTM with Soft Attention. - Yan Chu 001; Xiao Yue; Lei Yu; Mikhailov Sergei; Zhengkui Wang (Wirel. Commun. Mob. Comput., 2020)

A Multi-Target Track Association Algorithm in Underwater Multi-Sensors Environments. - Yan Chu 001; Kezhi Wang; Lina Wang; Shengdong Qu (CSCWD, 2021)

Wasserstein Graph Auto-Encoder. - Yan Chu 001; Haozhuang Li; Hui Ning; Qingchao Zhao (ICA3PP (1), 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)

TSC-GCN: A Face Clustering Method Based on GCN. - Jinmin Xue; Shengdong Qu; Jingxian Li; Yan Chu 001; Zhengkui Wang (KSEM (3), 2022)

Feature Weaken: Vicinal Data Augmentation for Classification. - Songhao Jiang; Yan Chu 001; Tianxing Ma; Tianning Zang (CoRR, 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)

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)

Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. - Songhao Jiang; Yan Chu 001; Zhengkui Wang; Tianxing Ma; Hanlin Wang; Wenxuan Lu; Tianning Zang; Bo Wang (IJCAI, 2023)

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

Meta-pruning: Learning to Prune on Few-Shot Learning. - Yan Chu 001; Keshi Liu; Songhao Jiang; Xianghui Sun; Baoxu Wang; Zhengkui Wang (KSEM (1), 2024)

Vicinal Data Augmentation for Classification Model via Feature Weaken. - Songhao Jiang; Yan Chu 001; Tianxing Ma; Xiaochen Miao; Zhengkui Wang; Tianning Zang (KSEM (1), 2024)

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)

Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation. - Gaoming Yang; Yifeng Ding; Xianjin Fang; Ji Zhang 001; Yan Chu 001 (Vis. Comput., 2025)