Aidong Zhang

发表

A MultiTask Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks

Jing Gao, Fenglong Ma, Qiuling Suo, 2017 .

Risk Prediction on Electronic Health Records with Prior Medical Knowledge

Fenglong Ma, Jing Zhou, Aidong Zhang, 2018, KDD.

A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform

Kebin Jia, Aidong Zhang, Ye Yuan, 2017, BCB.

Truth Discovery on Time Series Data

Jing Gao, Yaliang Li, Aidong Zhang, 2018 .

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution

Aidong Zhang, Guangxu Xun, Kishlay Jha, 2018, KDD.

Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD

Aidong Zhang, Guangxu Xun, Jianhui Sun, 2022, ACM Transactions on Knowledge Discovery from Data.

Demystify Hyperparameters for Stochastic Optimization with Transferable Representations

Aidong Zhang, Kishlay Jha, Jianhui Sun, 2022, KDD.

SCI

Yaliang Li, Aidong Zhang, Liuyi Yao, 2021, Proceedings of the 30th ACM International Conference on Information & Knowledge Management.

Towards Automating Model Explanations with Certified Robustness Guarantees

Chenglin Miao, Aidong Zhang, Jinduo Liu, 2022, AAAI.

A Stagewise Hyperparameter Scheduler to Improve Generalization

Ying Yang, Aidong Zhang, Guangxu Xun, 2021, KDD.

Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets

Mengdi Huai, Aidong Zhang, Chongzhi Zang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning

Aidong Zhang, Qiuling Suo, Weida Zhong, 2020, KDD.

Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values

Qiuling Suo, Weida Zhong, Aidong Zhang, 2021, 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS).

A Survey on Causal Inference pdf

Aidong Zhang, Yaliang Li, Jing Gao, 2020, ACM Trans. Knowl. Discov. Data.

Learning Distance Metrics from Probabilistic Information

Chenglin Miao, Mengdi Huai, Yaliang Li, 2020, ACM Trans. Knowl. Discov. Data.

Metric Learning on Healthcare Data with Incomplete Modalities

Fenglong Ma, Jing Gao, Qiuling Suo, 2019, IJCAI.

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression

Fenglong Ma, Aidong Zhang, Mengdi Huai, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

A Multi-View Deep Learning Framework for EEG Seizure Detection

Kebin Jia, Aidong Zhang, Ye Yuan, 2019, IEEE Journal of Biomedical and Health Informatics.

Context-learning based electroencephalogram analysis for epileptic seizure detection

Aidong Zhang, Xiaowei Jia, Guangxu Xun, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-modal learning for video recommendation based on mobile application usage

Wenyao Xu, Aidong Zhang, Xiaoyi Li, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Privacy-aware Synthesizing for Crowdsourced Data

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2019, IJCAI.

Topic Discovery for Short Texts Using Word Embeddings

Fenglong Ma, Jing Gao, Aidong Zhang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

DeepMV

Chenglin Miao, Shuochao Yao, Wenjun Jiang, 2020 .

Representation Learning for Treatment Effect Estimation from Observational Data

Aidong Zhang, Mengdi Huai, Yaliang Li, 2018, NeurIPS.

Learning Fair Node Representations with Graph Counterfactual Fairness pdf

Ruocheng Guo, Mengting Wan, Aidong Zhang, 2022, WSDM.

Wave2Vec: Deep representation learning for clinical temporal data

Kebin Jia, Aidong Zhang, Qiuling Suo, 2019, Neurocomputing.

A Survey on Context Learning

Aidong Zhang, Xiaowei Jia, Guangxu Xun, 2017, IEEE Transactions on Knowledge and Data Engineering.

MeSHProbeNet: a self-attentive probe net for MeSH indexing

Aidong Zhang, Yaqing Wang, Guangxu Xun, 2019, Bioinform..

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data

Fenglong Ma, Kebin Jia, Aidong Zhang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

A survey on literature based discovery approaches in biomedical domain

Aidong Zhang, Wei Jin, Kishlay Jha, 2019, J. Biomed. Informatics.

Multi-Cause Effect Estimation with Disentangled Confounder Representation

Ruocheng Guo, Jundong Li, Aidong Zhang, 2021, IJCAI.

mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave

Chenglin Miao, Hongfei Xue, Shiyang Wang, 2021, MobiSys.

DeepMV

Fenglong Ma, Lu Su, Shuochao Yao, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

On the Robustness of Metric Learning: An Adversarial Perspective

Chenglin Miao, T. Zheng, Aidong Zhang, 2022, ACM Trans. Knowl. Discov. Data.

Deconfounding with Networked Observational Data in a Dynamic Environment

Ruocheng Guo, Jing Ma, Aidong Zhang, 2021, WSDM.

Towards Confidence Interval Estimation in Truth Discovery

Fenglong Ma, Aidong Zhang, Lu Su, 2019, IEEE Transactions on Knowledge and Data Engineering.

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach

Fenglong Ma, Qi Li, Aidong Zhang, 2016, KDD.

Pairwise Learning with Differential Privacy Guarantees

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2020, AAAI.

Concept-Level Model Interpretation From the Causal Aspect

Yaliang Li, Sheng Li, Aidong Zhang, 2023, IEEE Transactions on Knowledge and Data Engineering.

On the Estimation of Treatment Effect with Text Covariates

Jing Gao, Yaliang Li, Sheng Li, 2019, IJCAI.

Fenglong Ma, Aidong Zhang, Mengdi Huai, 2018, IEEE Transactions on NanoBioscience.

Continual knowledge infusion into pre-trained biomedical language models

Kishlay Jha, Aidong Zhang, Aidong Zhang, 2021, Bioinform..

Knowledge-Guided Efficient Representation Learning for Biomedical Domain

Nan Du, Aidong Zhang, Guangxu Xun, 2021, KDD.

Correlation Networks for Extreme Multi-label Text Classification

Aidong Zhang, Guangxu Xun, Kishlay Jha, 2020, KDD.

Metric Learning from Probabilistic Labels

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2018, KDD.

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation

Mengdi Huai, Aidong Zhang, Sheng Li, 2021, CIKM.

Global Interpretation for Patient Similarity Learning

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation

Aidong Zhang, Mengdi Huai, Yaliang Li, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Personalized disease prediction using a CNN-based similarity learning method

Fenglong Ma, Jing Gao, Aidong Zhang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Chenglin Miao, Jing Gao, Aidong Zhang, 2018, SDM.

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks

Aidong Zhang, Mengdi Huai, Guangxu Xun, 2020, AAAI.

Understanding and Enhancing Robustness of Concept-based Models

Aidong Zhang, Jianhui Sun, Mengdi Huai, 2022, AAAI.

Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD

Aidong Zhang, Guangxu Xun, Jianhui Sun, 2022, ACM Trans. Knowl. Discov. Data.

MeSHProbeNet-P

Aidong Zhang, Guangxu Xun, Kishlay Jha, 2020, ACM Trans. Knowl. Discov. Data.

Aidong Zhang, Yaliang Li, Jing Gao, 2017, IJCAI.

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks

Fenglong Ma, Kebin Jia, Aidong Zhang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning

Fenglong Ma, Kebin Jia, Aidong Zhang, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data

Chenglin Miao, Fenglong Ma, Wenyao Xu, 2019, MobiHoc.

DWE-Med

Aidong Zhang, Guangxu Xun, Kishlay Jha, 2019, ACM Trans. Knowl. Discov. Data.

A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks

Fenglong Ma, Jing Gao, Aidong Zhang, 2017, AMIA.

GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning

Changyou Chen, Weida Zhong, Qiuling Suo, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm

Chenglin Miao, Lu Su, Mengdi Huai, 2019, IJCAI.

Continual representation learning for evolving biomedical bipartite networks

Aidong Zhang, Guangxu Xun, Kishlay Jha, 2021, Bioinform..

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts

Guangxu Xun, Kishlay Jha, Yaqing Wang, 2019, KDD.

Topic Discovery for Biomedical Corpus Using MeSH Embeddings

Aidong Zhang, Ye Yuan, Guangxu Xun, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Interpretable Word Embeddings for Medical Domain

Aidong Zhang, Yaqing Wang, Guangxu Xun, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Towards self‐learning based hypotheses generation in biomedical text domain

Aidong Zhang, Hung Q. Ngo, Guangxu Xun, 2018, Bioinform..

Augmenting word embeddings through external knowledge-base for biomedical application

Aidong Zhang, Guangxu Xun, Kishlay Jha, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Generating Medical Hypotheses Based on Evolutionary Medical Concepts

Aidong Zhang, Yaliang Li, Guangxu Xun, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts

Aidong Zhang, Yaliang Li, Jing Gao, 2017, KDD.

Improving EEG feature learning via synchronized facial video

Aidong Zhang, Xiaoyi Li, Xiaowei Jia, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Detecting epileptic seizures with electroencephalogram via a context-learning model

Aidong Zhang, Xiaowei Jia, Guangxu Xun, 2016, BMC Medical Informatics and Decision Making.

A hybrid self-attention deep learning framework for multivariate sleep stage classification

Fenglong Ma, Aidong Zhang, Kebin Jia, 2019, BMC Bioinformatics.

Recurrent Imputation for Multivariate Time Series with Missing Values

Qiuling Suo, Aidong Zhang, Guangxu Xun, 2019, 2019 IEEE International Conference on Healthcare Informatics (ICHI).

A multi-context learning approach for EEG epileptic seizure detection

Kebin Jia, Aidong Zhang, Ye Yuan, 2018, BMC Systems Biology.

Online Truth Discovery on Time Series Data

Fenglong Ma, Jing Gao, Qi Li, 2018, SDM.

A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning

Kebin Jia, Aidong Zhang, Ye Yuan, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Wave2Vec: Learning Deep Representations for Biosignals

Kebin Jia, Aidong Zhang, Qiuling Suo, 2017, 2017 IEEE International Conference on Data Mining (ICDM).