Weijia Zhang | DeepAI

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Featured Co-authors

Hao Liu
150 publications
Ji Liu
135 publications
Fan Wang
110 publications
Hui Xiong
89 publications
Dejing Dou
87 publications
Lin Liu
77 publications
Fan Liu
50 publications
Le Zhang
49 publications
Tong Xu
48 publications
Evangelos Kanoulas
47 publications
Jiuyong Li
38 publications

∙ 08/31/2023

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network

Accurate traffic forecasting at intersections governed by intelligent tr...

0 Weijia Zhang, et al. ∙

∙ 06/26/2023

A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation

Vehicle Energy Consumption (VEC) estimation aims to predict the total en...

0 Siqi Lai, et al. ∙

∙ 06/25/2023

Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training

Machine learning-based forecasting models are commonly used in Intellige...

0 Fan Liu, et al. ∙

∙ 06/19/2023

SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation

Accurate segmentation of colonoscopic polyps is considered a fundamental...

0 Feiyu Chen, et al. ∙

∙ 05/26/2023

Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning

In many real-world tasks, the concerned objects can be represented as a ...

0 Wei Tang, et al. ∙

∙ 05/10/2023

Rethinking the Value of Labels for Instance-Dependent Label Noise Learning

Label noise widely exists in large-scale datasets and significantly dege...

0 Hanwen Deng, et al. ∙

∙ 03/27/2023

Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD) enables the training of object...

0 Zhaofei Wang, et al. ∙

∙ 12/18/2022

Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision

Weakly supervised machine learning algorithms are able to learn from amb...

0 Wei Tang, et al. ∙

∙ 02/25/2022

Towards Learning Causal Representations from Multi-Instance Bags

Although humans can easily identify the object of interest from groups o...

0 Weijia Zhang, et al. ∙

∙ 12/14/2021

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

Query-focused summarization (QFS) requires generating a textual summary ...

0 Weijia Zhang, et al. ∙

∙ 07/12/2021

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

Real estate appraisal refers to the process of developing an unbiased op...

0 Weijia Zhang, et al. ∙

∙ 05/04/2021

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

Multi-instance learning is a type of weakly supervised learning. It deal...

0 Weijia Zhang, et al. ∙

∙ 02/15/2021

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

Electric Vehicle (EV) has become a preferable choice in the modern trans...

0 Weijia Zhang, et al. ∙

∙ 07/14/2020

A unified survey on treatment effect heterogeneity modeling and uplift modeling

A central question in many fields of scientific research is to determine...

0 Weijia Zhang, et al. ∙

∙ 03/25/2020

A general framework for causal classification

In many applications, there is a need to predict the effect of an interv...

15 Jiuyong Li, et al. ∙

∙ 01/29/2020

Treatment effect estimation with disentangled latent factors

A pressing concern faced by cancer patients is their prognosis under dif...

16 Weijia Zhang, et al. ∙

∙ 11/24/2019

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

The ability to predict city-wide parking availability is crucial for the...

0 Weijia Zhang, et al. ∙

∙ 08/29/2019

A Deep Neural Information Fusion Architecture for Textual Network Embeddings

Textual network embeddings aim to learn a low-dimensional representation...

0 Zenan Xu, et al. ∙

∙ 02/13/2019

Distributionally Robust Multi-instance Learning with Stable Instances

Multi-instance learning (MIL) deals with tasks where data consist of set...

0 Weijia Zhang, et al. ∙

∙ 02/13/2019

Stable multi-instance learning visa causal inference

Multi-instance learning (MIL) deals with tasks where each example is rep...

0 Weijia Zhang, et al. ∙

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