Deep Interest Evolution Network for Click-Through Rate Prediction. - Guorui Zhou; Na Mou; Ying Fan; Qi Pi; Weijie Bian; Chang Zhou; Xiaoqiang Zhu; Kun Gai (AAAI, 2019)

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. - Guorui Zhou; Weijie Bian; Kailun Wu; Lejian Ren; Qi Pi; Yujing Zhang; Can Xiao; Xiang-Rong Sheng; Na Mou; Xinchen Luo; Chi Zhang; Xianjie Qiao; et al. (CoRR, 2020)

CAN: Feature Co-Action Network for Click-Through Rate Prediction. - Weijie Bian; Kailun Wu; Lejian Ren; Qi Pi; Yujing Zhang; Can Xiao; Xiang-Rong Sheng; Yong-Nan Zhu; Zhangming Chan; Na Mou; Xinchen Luo; Shiming Xiang; et al. (WSDM, 2022)

SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. - Beichuan Zhang 002; Chenggen Sun; Jianchao Tan; Xinjun Cai; Jun Zhao; Mengqi Miao; Kang Yin; Chengru Song; Na Mou; Yang Song 008 (CIKM, 2023)

PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. - Ziyang Liu 004; Chaokun Wang; Jingcao Xu; Cheng Wu; Kai Zheng 001; Yang Song 008; Na Mou; Kun Gai (CoRR, 2023)

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. - Kai Zheng 001; Haijun Zhao; Rui Huang; Beichuan Zhang 002; Na Mou; Yanan Niu; Yang Song 008; Hongning Wang; Kun Gai (WWW, 2024)

End-to-end training of Multimodal Model and ranking Model. - Xiuqi Deng; Lu Xu; Xiyao Li; Jinkai Yu; Erpeng Xue; Zhongyuan Wang; Di Zhang; Zhaojie Liu; Guorui Zhou; Yang Song; Na Mou; Shen Jiang; et al. (CoRR, 2024)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 001; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (CoRR, 2024)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 007; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (ICLR, 2025)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. - Wuchao Li; Rui Huang; Haijun Zhao; Chi Liu; Kai Zheng 001; Qi Liu 003; Na Mou; Guorui Zhou; Defu Lian; Yang Song 008; Wentian Bao; Enyun Yu; et al. (WSDM, 2025)

Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems. - Ziyang Liu 004; Chaokun Wang; Shuwen Zheng; Cheng Wu; Kai Zheng 001; Yang Song 008; Na Mou (Trans. Recomm. Syst., 2025)