Na Mou - RankMe

15 papers A* 3A 3Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. WSDM Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2025	J	`jnl`	Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems. Trans. Recomm. Syst. Ziyang Liu, Chaokun Wang, Shuwen Zheng, Cheng Wu, Kai Zheng, Yang Song, Na Mou
2025	A*	`conf`	RecFlow: An Industrial Full Flow Recommendation Dataset. ICLR Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2024	J	`jnl`	DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2024	J	`jnl`	End-to-end training of Multimodal Model and ranking Model. CoRR Xiuqi Deng, Lu Xu, Xiyao Li, Jinkai Yu, Erpeng Xue, Zhongyuan Wang, Di Zhang, Zhaojie Liu, Guorui Zhou, Yang Song, Na Mou, Shen Jiang, Han Li
2024	A*	`conf`	Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. WWW Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
2024	J	`jnl`	Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. CoRR Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
2024	J	`jnl`	RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2023	J	`jnl`	PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. CoRR Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai
2023	A	`conf`	SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CIKM Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song
2023	J	`jnl`	SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CoRR Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song
2022	A	`conf`	CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 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, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng
2020	J	`jnl`	CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR 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, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu
2019	A*	`conf`	Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai
2018	J	`jnl`	Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai