Representation learning via Dual-Autoencoder for recommendation. - Fuzhen Zhuang; Zhiqiang Zhang 012; Mingda Qian; Chuan Shi 001; Xing Xie 001; Qing He 003 (Neural Networks, 2017)

Meta-Graph Based Attention-Aware Recommendation over Heterogeneous Information Networks. - Feifei Dai; Xiaoyan Gu 001; Bo Li 063; Jinchao Zhang 002; Mingda Qian; Weiping Wang 005 (ICCS (2), 2019)

Combining Meta-path Instances into Layer-Wise Graphs for Recommendation. - Mingda Qian; Bo Li 063; Xiaoyan Gu 001; Zhuo Wang; Feifei Dai; Weiping Wang 005 (DASFAA (3), 2021)

Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation. - Feifei Dai; Xiaoyan Gu 001; Zhuo Wang; Bo Li 063; Mingda Qian; Weiping Wang 005 (ICANN (1), 2021)

Heterogeneous Side Information-based Iterative Guidance Model for Recommendation. - Feifei Dai; Xiaoyan Gu 001; Zhuo Wang; Mingda Qian; Bo Li 063; Weiping Wang 005 (ICMR, 2021)

Flexible Order Aware Sequential Recommendation. - Mingda Qian; Xiaoyan Gu 001; Lingyang Chu; Feifei Dai; Haihui Fan; Bo Li 063 (ICMR, 2022)

User Popularity Preference Aware Sequential Recommendation. - Mingda Qian; Feifei Dai; Xiaoyan Gu 001; Haihui Fan; Dong Liu; Bo Li 063 (ICCS (1), 2023)

Identifying Misaligned Features for Cross-Domain Cold-Start Recommendation. - Mingda Qian; Feifei Dai; Xiaoyan Gu 001; Haihui Fan; Dong Liu; Feng Tian; Bo Li 063 (ICONIP (5), 2024)