A Multi-Task Learning Model for Better Representation of Clothing Images. - Cairong Yan; Lingjie Zhou; Yongquan Wan (IEEE Access, 2019)

Joint Image-text Representation Learning for Fashion Retrieval. - Cairong Yan; Yu Li; Yongquan Wan; Zhaohui Zhang (ICMLC, 2020)

An Integrated Time-Aware Collaborative Filtering Algorithm. - Yongquan Wan; Yizhou Chen; Cairong Yan (KMO, 2021)

A Contextual Multi-armed Bandit Approach Based on Implicit Feedback for Online Recommendation. - Yongquan Wan; Junli Xian; Cairong Yan (KMO, 2021)

Modeling low- and high-order feature interactions with FM and self-attention network. - Cairong Yan; Yizhou Chen; Yongquan Wan; Pengwei Wang 001 (Appl. Intell., 2021)

Similarity-based sales forecasting using improved ConvLSTM and prophet. - Yongquan Wan; Yizhou Chen; Cairong Yan; Bofeng Zhang (Intell. Data Anal., 2021)

Attribute interaction aware matrix factorization method for recommendation. - Yongquan Wan; Lihua Zhu; Cairong Yan; Bofeng Zhang (Intell. Data Anal., 2021)

Modeling implicit feedback based on bandit learning for recommendation. - Cairong Yan; Junli Xian; Yongquan Wan; Pengwei Wang 001 (Neurocomputing, 2021)

Attribute-Guided Fashion Image Retrieval by Iterative Similarity Learning. - Cairong Yan; Kang Yan; Yanting Zhang 001; Yongquan Wan; Dandan Zhu 001 (ICME, 2022)

Learning Image Representation via Attribute-Aware Attention Networks for Fashion Classification. - Yongquan Wan; Cairong Yan; Bofeng Zhang; Guobing Zou (MMM (1), 2022)

Dynamic clustering based contextual combinatorial multi-armed bandit for online recommendation. - Cairong Yan; Haixia Han; Yanting Zhang 001; Dandan Zhu 001; Yongquan Wan (Knowl. Based Syst., 2022)

Attribute-guided and attribute-manipulated similarity learning network for fashion image retrieval. - Yongquan Wan; Cairong Yan; Guobing Zou; Bofeng Zhang (Intell. Data Anal., 2023)

Dual attention composition network for fashion image retrieval with attribute manipulation. - Yongquan Wan; Guobing Zou; Cairong Yan; Bofeng Zhang (Neural Comput. Appl., 2023)

MIN: multi-dimensional interest network for click-through rate prediction. - Cairong Yan; Xiaoke Li; Yanting Zhang 001; Zijian Wang 010; Yongquan Wan (Knowl. Inf. Syst., 2023)

Dual-Path Multimodal Optimal Transport for Composed Image Retrieval. - Cairong Yan; Meng Ma; Yanting Zhang 001; Yongquan Wan (ACCV (6), 2024)

TAN: A Tripartite Alignment Network Enhancing Composed Image Retrieval with Momentum Distillation. - Yongquan Wan; Erhe Yang; Cairong Yan; Guobing Zou; Bofeng Zhang (ICDM, 2024)

SHAF: Semantic-Guided Hierarchical Alignment and Fusion for Composed Image Retrieval. - Cairong Yan; Erhe Yang; Ran Tao 005; Yongquan Wan; Derun Ai (ICIC (LNAI 5), 2024)

MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction. - Cairong Yan; Xiaoke Li; Ran Tao 005; Zhaohui Zhang; Yongquan Wan (Intell. Data Anal., 2024)

Learning Attribute-guided Fashion Similarity with Spatial and Channel Attention. - Yongquan Wan; Kang Yan; Cairong Yan; Bofeng Zhang (J. Exp. Theor. Artif. Intell., 2024)

cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity. - Cairong Yan; Ziyang Zhu; Yiwei Zhang; Xiaopeng Guan; Yongquan Wan (Intell. Data Anal., 2025)

From spatial to semantic: attribute-aware fashion similarity learning via iterative positioning and attribute diverging. - Yongquan Wan; Jianfei Zheng; Cairong Yan; Guobing Zou (Appl. Intell., 2025)

Composed image retrieval: a survey on recent research and development. - Yongquan Wan; Guobing Zou; Bofeng Zhang (Appl. Intell., 2025)