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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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