Juhua Hu

According to our database, Juhua Hu authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dual-disentangled Deep Multiple Clustering.

Jiawei Yao, Juhua Hu

CoRR, 2024

2023

Multi-Subset Approach to Early Sepsis Prediction.

Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu

CoRR, 2023

Enhancing Peak Network Traffic Prediction via Time-Series Decomposition.

Tucker Stewart, Bin Yu, Anderson C. A. Nascimento, Juhua Hu

CoRR, 2023

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP.

Qi Qian, Yuanhong Xu, Juhua Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AugDMC: Data Augmentation Guided Deep Multiple Clustering.

Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Improved Visual Fine-tuning with Natural Language Supervision.

Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dictionary-Guided Text Recognition for Smart Street Parking.

Deyang Zhong, Jiayu Li, Wei Cheng, Juhua Hu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients.

Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Improved Knowledge Distillation via Full Kernel Matrix Transfer.

Qi Qian, Hao Li, Juhua Hu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Unsupervised Visual Representation Learning by Online Constrained K-Means.

Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care.

Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Interpretable Phenotyping for Electronic Health Records.

Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Fairness in Healthcare AI.

Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Weakly Supervised Representation Learning with Coarse Labels.

Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Clustering Analysis of Email Malware Campaigns.

Ruichao Zhang, Shang Wang, Renée Burton, Minh Hoang, Juhua Hu, Anderson C. A. Nascimento

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

2020

Efficient Kernel Transfer in Knowledge Distillation.

Qi Qian, Hao Li, Juhua Hu

CoRR, 2020

Representation Learning with Fine-grained Patterns.

Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

CoRR, 2020

Hierarchically Robust Representation Learning.

Qi Qian, Juhua Hu, Hao Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin

CoRR, 2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering.

Bin Yu, Giovanna Graciani, Anderson C. A. Nascimento, Juhua Hu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Subspace multi-clustering: a review.

Juhua Hu, Jian Pei

Knowl. Inf. Syst., 2018

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution.

Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Finding multiple stable clusterings.

Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu

Knowl. Inf. Syst., 2017

2015

Pairwised Specific Distance Learning from Physical Linkages.

Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou

ACM Trans. Knowl. Discov. Data, 2015

2014

How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach.

Juhua Hu, Jian Pei, Jie Tang

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Distance metric learning using dropout: a structured regularization approach.

Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2012

Towards Discovering What Patterns Trigger What Labels.

Yu-Feng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012