Search Results for author: Weijia Zhang

Found 12 papers, 5 papers with code

Towards Learning Causal Representations from Multi-Instance Bags

no code implementations25 Feb 2022 Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang

Although humans can easily identify the object of interest from groups of examples using group-level labels, most of the existing machine learning algorithms can only learn from individually labeled examples.

Scaling Up Query-Focused Summarization to Meet Open-Domain Question Answering

no code implementations14 Dec 2021 Weijia Zhang, Svitlana Vakulenko, Thilina Rajapakse, Evangelos Kanoulas

To address this extended task, we combine passage retrieval with text generation to produce the summary of the retrieved passages given the input query.

Open-Domain Question Answering Passage Retrieval +1

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

no code implementations12 Jul 2021 Weijia Zhang, Hao liu, Lijun Zha, HengShu Zhu, Ji Liu, Dejing Dou, Hui Xiong

Real estate appraisal refers to the process of developing an unbiased opinion for real property's market value, which plays a vital role in decision-making for various players in the marketplace (e. g., real estate agents, appraisers, lenders, and buyers).

Decision Making Graph Representation Learning +1

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

1 code implementation15 Feb 2021 Weijia Zhang, Hao liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong

Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability.

Multi-agent Reinforcement Learning reinforcement-learning

A unified survey of treatment effect heterogeneity modeling and uplift modeling

no code implementations14 Jul 2020 Weijia Zhang, Jiuyong Li, Lin Liu

A central question in many fields of scientific research is to determine how an outcome would be affected by an action, or to measure the effect of an action (a. k. a treatment effect).

A general framework for causal classification

no code implementations25 Mar 2020 Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

We also propose a general framework for causal classification, by using off-the-shelf supervised methods for flexible implementations.

Classification Decision Making +1

Treatment effect estimation with disentangled latent factors

2 code implementations29 Jan 2020 Weijia Zhang, Lin Liu, Jiuyong Li

Much research has been devoted to the problem of estimating treatment effects from observational data; however, most methods assume that the observed variables only contain confounders, i. e., variables that affect both the treatment and the outcome.

Variational Inference

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

1 code implementation24 Nov 2019 Weijia Zhang, Hao liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

However, it is a non-trivial task for predicting citywide parking availability because of three major challenges: 1) the non-Euclidean spatial autocorrelation among parking lots, 2) the dynamic temporal autocorrelation inside of and between parking lots, and 3) the scarcity of information about real-time parking availability obtained from real-time sensors (e. g., camera, ultrasonic sensor, and GPS).

A Deep Neural Information Fusion Architecture for Textual Network Embeddings

no code implementations IJCNLP 2019 Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang

Textual network embeddings aim to learn a low-dimensional representation for every node in the network so that both the structural and textual information from the networks can be well preserved in the representations.

Robust Multi-instance Learning with Stable Instances

no code implementations13 Feb 2019 Weijia Zhang, Jiuyong Li, Lin Liu

Multi-instance learning (MIL) deals with tasks where data is represented by a set of bags and each bag is described by a set of instances.

Causal Inference Image Classification

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