24 citations · 73 across the 13 of their papers we have counts for
13 papers
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation
Feiyu Chen, Haiping Ma, Weijia Zhang
Accurate segmentation of colonoscopic polyps is considered a fundamental step in medical image analysis and surgical interventions. Many recent studies have made improvements based…
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning
Hanwen Deng, Weijia Zhang, Min-Ling Zhang
Label noise widely exists in large-scale datasets and significantly degenerates the performances of deep learning algorithms. Due to the non-identifiability of the instance-depende…
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
Wei Tang, Weijia Zhang, Min-Ling Zhang
In many real-world tasks, the concerned objects can be represented as a multi-instance bag associated with a candidate label set, which consists of one ground-truth label and sever…
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection
Zhaofei Wang, Weijia Zhang, Min-Ling Zhang
Weakly Supervised Object Detection (WSOD) enables the training of object detection models using only image-level annotations. State-of-the-art WSOD detectors commonly rely on multi…
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision
Wei Tang, Weijia Zhang, Min-Ling Zhang
Weakly supervised machine learning algorithms are able to learn from ambiguous samples or labels, e.g., multi-instance learning or partial-label learning. However, in some real-wor…
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang, Xuanhui Zhang, Han-Wen Deng +1
Multi-instance learning (MIL) deals with objects represented as bags of instances and can predict instance labels from bag-level supervision. However, significant performance gaps…
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Weijia Zhang, Hao Liu, Lijun Zha +4
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 t…
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
Weijia Zhang
Multi-instance learning is a type of weakly supervised learning. It deals with tasks where the data is a set of bags and each bag is a set of instances. Only the bag labels are obs…
A unified survey of treatment effect heterogeneity modeling and uplift modeling
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 effec…
A general framework for causal classification
Jiuyong Li, Weijia Zhang, Lin Liu +3
In many applications, there is a need to predict the effect of an intervention on different individuals from data. For example, which customers are persuadable by a product promoti…
Treatment effect estimation with disentangled latent factors
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 confoun…
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
Weijia Zhang, Hao Liu, Yanchi Liu +2
The ability to predict city-wide parking availability is crucial for the successful development of Parking Guidance and Information (PGI) systems. Indeed, the effective prediction…
Robust Multi-instance Learning with Stable Instances
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. Unlike standard supervised learning, only…