Juhua Hu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Metric Learning

Top Venues

Knowl. Inf. Syst.

Publications

Jiayu Li, Yin Jin, Deyang Zhong, Juhua Hu, Wei Cheng
Efficiently Build An Accurate Curbside Parking Rule Database for Autonomous Vehicle. MOST (2024)
Jiawei Yao, Juhua Hu
Dual-disentangled Deep Multiple Clustering. CoRR (2024)
Jiawei Yao, Juhua Hu
Dual-disentangled Deep Multiple Clustering. SDM (2024)
Jiawei Yao, Qi Qian, Juhua Hu
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. CoRR (2024)
Jiayu Li, Hanming Zhang, Juhua Hu, Wei Cheng
Curbside Parking Occupancy Detection - Dashcam-Based Solutions. MDM (2024)
Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu
AugDMC: Data Augmentation Guided Deep Multiple Clustering. INNS DLIA@IJCNN (2023)
Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
Multi-Subset Approach to Early Sepsis Prediction. CoRR (2023)
Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. BigData (2023)
Tucker Stewart, Bin Yu, Anderson C. A. Nascimento, Juhua Hu
Enhancing Peak Network Traffic Prediction via Time-Series Decomposition. CoRR (2023)
Deyang Zhong, Jiayu Li, Wei Cheng, Juhua Hu
Dictionary-Guided Text Recognition for Smart Street Parking. BMVC (2023)
Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. CoRR (2023)
Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian
Improved Visual Fine-tuning with Natural Language Supervision. CoRR (2023)
Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu
AugDMC: Data Augmentation Guided Deep Multiple Clustering. CoRR (2023)
Qi Qian, Yuanhong Xu, Juhua Hu
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. NeurIPS (2023)
Qi Qian, Yuanhong Xu, Juhua Hu
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. CoRR (2023)
Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian
Improved Visual Fine-tuning with Natural Language Supervision. ICCV (2023)
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR (2022)
Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe
Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care. Big Data (2022)
Qi Qian, Hao Li, Juhua Hu
Improved Knowledge Distillation via Full Kernel Matrix Transfer. SDM (2022)
Ruichao Zhang, Shang Wang, Renée Burton, Minh Hoang, Juhua Hu, Anderson C. A. Nascimento
Clustering Analysis of Email Malware Campaigns. CSR (2021)
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR (2021)
Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Interpretable Phenotyping for Electronic Health Records. ICHI (2021)
Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai
Fairness in Healthcare AI. ICHI (2021)
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
Weakly Supervised Representation Learning with Coarse Labels. ICCV (2021)
Qi Qian, Hao Li, Juhua Hu
Efficient Kernel Transfer in Knowledge Distillation. CoRR (2020)
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
Representation Learning with Fine-grained Patterns. CoRR (2020)
Qi Qian, Juhua Hu, Hao Li
Hierarchically Robust Representation Learning. CVPR (2020)
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV (2019)
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR (2019)
Qi Qian, Juhua Hu, Hao Li
Hierarchically Robust Representation Learning. CoRR (2019)
Bin Yu, Giovanna Graciani, Anderson C. A. Nascimento, Juhua Hu
Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. IEEE BigData (2019)
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR (2018)
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. KDD (2018)
Juhua Hu, Jian Pei
Subspace multi-clustering: a review. Knowl. Inf. Syst. 56 (2) (2018)
Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
Finding multiple stable clusterings. Knowl. Inf. Syst. 51 (3) (2017)
Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
Finding Multiple Stable Clusterings. ICDM (2015)
Juhua Hu, Jian Pei, Jie Tang
How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. SDM (2014)
Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu
Distance metric learning using dropout: a structured regularization approach. KDD (2014)