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MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal

Aug 02, 2021
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong

* 11 pages, SIGKDD-2021 

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Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder

May 04, 2021
Weijia Zhang

* To appear in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21) 

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Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

Feb 15, 2021
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong

* 12 pages, 10 figures 

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A unified survey on treatment effect heterogeneity modeling and uplift modeling

Jul 14, 2020
Weijia Zhang, Jiuyong Li, Lin Liu

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A general framework for causal classification

Mar 27, 2020
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

* arXiv admin note: text overlap with arXiv:1604.07212 by other authors 

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Treatment effect estimation with disentangled latent factors

Jan 29, 2020
Weijia Zhang, Lin Liu, Jiuyong Li

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Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Nov 24, 2019
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

* 8 pages, 9 figures, AAAI-2020 

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A Deep Neural Information Fusion Architecture for Textual Network Embeddings

Aug 29, 2019
Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang

* To appear at EMNLP-IJCNLP 2019 (Conference on Empirical Methods in Natural Language Processing & International Joint Conference on Natural Language Processing 2019) 

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Distributionally Robust Multi-instance Learning with Stable Instances

Feb 26, 2019
Weijia Zhang, Jiuyong Li, Lin Liu

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Stable multi-instance learning visa causal inference

Feb 13, 2019
Weijia Zhang

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