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ORCIDFei Fang 0002
Person information
- affiliation: Alibaba Group, Beijing, China
Other persons with the same name
- Fei Fang — disambiguation page
- Fei Fang 0001
![[0000-0003-2256-8329]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2256-8329")
— Carnegie Mellon University, Pittsburgh, PA, USA - Fei Fang 0003 — Beijing Technology and Business University, Department of Mathematics, Beijing, China
- Fei Fang 0004 — Peking University, School of New Media, Beijing, China
- Fei Fang 0005 — Stanford University, Stanford, CA, USA
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2020 – today
- 2023
[c6]Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. AAAI 2023: 4614-4622- [c5]Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu:
Video Background Music Generation: Dataset, Method and Evaluation. ICCV 2023: 15591-15601 - [c4]Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan:
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. ACM Multimedia 2023: 1374-1382 - [c3]Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. WWW (Companion Volume) 2023: 346-350 - [i5]Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. CoRR abs/2302.14438 (2023) - [i4]Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan:
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. CoRR abs/2308.02915 (2023) - 2022
- [c2]Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM 2022: 3122-3130 - [c1]Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CIKM 2022: 3674-3683 - [i3]Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. CoRR abs/2208.05728 (2022) - [i2]Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. CoRR abs/2208.11457 (2022) - 2020
- [j1]Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. Proc. VLDB Endow. 14(3): 320-328 (2020) - [i1]Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao:
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning. CoRR abs/2008.02122 (2020)
Coauthor Index
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