Weijia Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Weakly Supervised

Multi Instance Learning

Top Venues

Publications

Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. AAAI (2024)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Multi-instance partial-label learning: towards exploiting dual inexact supervision. Sci. China Inf. Sci. 67 (3) (2024)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning. NeurIPS (2023)
Zhaofei Wang, Weijia Zhang, Min-Ling Zhang
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection. CoRR (2023)
Hanwen Deng, Weijia Zhang, Min-Ling Zhang
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning. CoRR (2023)
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. CoRR (2023)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning. CoRR (2023)
Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization. NeurIPS (2022)
Wei Tang, Weijia Zhang, Min-Ling Zhang
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision. CoRR (2022)
Weijia Zhang, Jiuyong Li, Lin Liu
A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. ACM Comput. Surv. 54 (8) (2022)
Weijia Zhang
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder. IJCAI (2021)
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
A general framework for causal classification. Int. J. Data Sci. Anal. 11 (2) (2021)
Weijia Zhang, Lin Liu, Jiuyong Li
Treatment Effect Estimation with Disentangled Latent Factors. AAAI (2021)
Weijia Zhang, Lin Liu, Jiuyong Li
Robust Multi-Instance Learning with Stable Instances. ECAI (2020)
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
A general framework for causal classification. CoRR (2020)
Weijia Zhang, Lin Liu, Jiuyong Li
Treatment effect estimation with disentangled latent factors. CoRR (2020)
Mattia Tomasoni, Sergio Gómez, Jake Crawford, Weijia Zhang, Sarvenaz Choobdar, Daniel Marbach, Sven Bergmann
MONET: a toolbox integrating top-performing methods for network modularization. Bioinform. 36 (12) (2020)
Weijia Zhang, Jiuyong Li, Lin Liu
A unified survey on treatment effect heterogeneity modeling and uplift modeling. CoRR (2020)
Weijia Zhang, Jiuyong Li, Lin Liu
Distributionally Robust Multi-instance Learning with Stable Instances. CoRR (2019)
Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. (19) (2018)
Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinform. (19) (2018)
Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li
Mining heterogeneous causal effects for personalized cancer treatment. Bioinform. 33 (15) (2017)
Weijia Zhang, Zhi-Hua Zhou
Multi-Instance Learning with Distribution Change. AAAI (2014)