Fei Fang - RankMe

12 papers A* 3A 2Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. WWW (Companion Volume) Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang
2023	A*	`conf`	DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. ACM Multimedia Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan
2023	J	`jnl`	DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. CoRR Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan
2023	A*	`conf`	Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. AAAI Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang
2023	J	`jnl`	Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. CoRR Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang
2023	A*	`conf`	Video Background Music Generation: Dataset, Method and Evaluation. ICCV Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu
2022	J	`jnl`	Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. CoRR Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang
2022	A	`conf`	Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CIKM Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
2022	J	`jnl`	Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CoRR Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
2022	A	`conf`	UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM Long Guo, Fei Fang, Binqiang Zhao, Bin Cui
2020	J	`jnl`	EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. Proc. VLDB Endow. Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui
2020	J	`jnl`	TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning. CoRR Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao