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Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling


Feb 03, 2023
Fanglan Zheng, Menghan Wang, Kun Li, Jiang Tian, Xiaojia Xiang

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Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network


Jun 12, 2022
Zongyuan Huang, Shengyuan Xu, Menghan Wang, Hansi Wu, Yanyan Xu, Yaohui Jin

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* Accepted by KDD2022, the Research Track 

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MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning


Apr 18, 2022
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip Torr

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* This paper was accepted at SIGIR 2022 

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Learning to Hash Naturally Sorts


Jan 31, 2022
Yuming Shen, Jiaguo Yu, Haofeng Zhang, Philip H. S. Torr, Menghan Wang

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* Preprint 

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You Never Cluster Alone


Jun 03, 2021
Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao

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* Preprint 

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M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems


Jun 01, 2020
Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-ming Wu

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* Accepted by KDD 2020 ads track as an oral paper. Code address:https://github.com/99731/M2GRL 

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Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs


Dec 12, 2019
Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si

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An Incidence Geometry approach to Dictionary Learning


Mar 06, 2015
Meera Sitharam, Mohamad Tarifi, Menghan Wang

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Dynamic Decision Process Modeling and Relation-line Handling in Distributed Cooperative Modeling System


Mar 01, 2014
Menghan Wang

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