Ruofan Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	LiMAML: Personalization of Deep Recommender Models via Meta Learning	2024	Ruofan Wang Prakruthi Prabhakar Gaurav Srivastava T. W. Wang Zeinab S. Jalali Varun Bharill Yunbo Ouyang Aastha Nigam Divya Venugopalan Aman Gupta

Common Coauthors

Coauthor	Papers Together
Prakruthi Prabhakar	1
Zeinab S. Jalali	1
T. W. Wang	1
Ajith Muralidharan	1
Aastha Nigam	1
Fedor Borisyuk	1
Divya Venugopalan	1
Aman Gupta	1
Varun Bharill	1
Gaurav Srivastava	1
Yunbo Ouyang	1
Sathiya Keerthi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	1
+ PDF Chat	Product-Based Neural Networks for User Response Prediction	2016	Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang	1
+ PDF Chat	Sequential Scenario-Specific Meta Learner for Online Recommendation	2019	Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang	1
+ PDF Chat	MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection	2020	Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li	1
+ PDF Chat	DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems	2021	Ruoxi Wang Rakesh Shivanna Derek Zhiyuan Cheng Sagar Jain Dong Lin Lichan Hong Ed H.	1
+ PDF Chat	Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction	2021	Wentao Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du	1
+ PDF Chat	Personalized Adaptive Meta Learning for Cold-start User Preference Prediction	2021	Runsheng Yu Yu Gong Xu He Yu Zhu Qingwen Liu Wenwu Ou Bo An	1
+ PDF Chat	Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems	2021	Danni Peng Sinno Jialin Pan Jie Zhang Anxiang Zeng	1
+ PDF Chat	A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations	2022	Krishna Prasad Neupane Ervine Zheng Yu Kong Qi Yu	1
+ PDF Chat	Meta-Learning for Online Update of Recommender Systems	2022	Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee	1
+ PDF Chat	Multi-objective Optimization of Notifications Using Offline Reinforcement Learning	2022	Prakruthi Prabhakar Yiping Yuan Guangyu Yang Wensheng Sun Ajith Muralidharan	1
+	G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems	2023	Youshao Xiao Shangchun Zhao Zhenglei Zhou Zhaoxin Huan Lin Ju Xiaolu Zhang Lin Wang Jun Zhou	1