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ORCIDJuhua Hu
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- affiliation: Simon Fraser University
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Journal Articles
- 2018
[j3]Juhua Hu, Jian Pei
:
Subspace multi-clustering: a review. Knowl. Inf. Syst. 56(2): 257-284 (2018)- 2017
- [j2]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding multiple stable clusterings. Knowl. Inf. Syst. 51(3): 991-1021 (2017) - 2015
- [j1]Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou:
Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data 9(3): 20:1-20:27 (2015)
Conference and Workshop Papers
- 2024
- [c25]Jiawei Yao, Qi Qian, Juhua Hu:
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. CVPR 2024: 14066-14075 - [c24]Qi Qian, Yuanhong Xu, Juhua Hu:
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. ECCV (78) 2024: 1-17 - [c23]Jiayu Li, Hanming Zhang, Juhua Hu, Wei Cheng:
Curbside Parking Occupancy Detection - Dashcam-Based Solutions. MDM 2024: 219-226 - [c22]Jiayu Li, Yin Jin, Deyang Zhong, Juhua Hu, Wei Cheng:
Efficiently Build An Accurate Curbside Parking Rule Database for Autonomous Vehicle. MOST 2024: 72-82 - [c21]Jiawei Yao, Juhua Hu:
Dual-disentangled Deep Multiple Clustering. SDM 2024: 679-687 - 2023
- [c20]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. IEEE Big Data 2023: 1843-1852 - [c19]Deyang Zhong, Jiayu Li, Wei Cheng, Juhua Hu:
Dictionary-Guided Text Recognition for Smart Street Parking. BMVC 2023: 647-649 - [c18]Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. ICCV 2023: 11865-11875 - [c17]Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu:
AugDMC: Data Augmentation Guided Deep Multiple Clustering. INNS DLIA@IJCNN 2023: 571-580 - [c16]Qi Qian, Yuanhong Xu, Juhua Hu:
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. NeurIPS 2023 - 2022
- [c15]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. IEEE Big Data 2022: 2082-2092 - [c14]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR 2022: 16619-16628 - [c13]Qi Qian, Hao Li, Juhua Hu:
Improved Knowledge Distillation via Full Kernel Matrix Transfer. SDM 2022: 612-620 - 2021
- [c12]Ruichao Zhang, Shang Wang, Renée Burton, Minh Hoang, Juhua Hu, Anderson C. A. Nascimento:
Clustering Analysis of Email Malware Campaigns. CSR 2021: 95-102 - [c11]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Weakly Supervised Representation Learning with Coarse Labels. ICCV 2021: 10573-10581 - [c10]Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Interpretable Phenotyping for Electronic Health Records. ICHI 2021: 161-170 - [c9]Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai:
Fairness in Healthcare AI. ICHI 2021: 554-555 - 2020
- [c8]Qi Qian, Juhua Hu, Hao Li:
Hierarchically Robust Representation Learning. CVPR 2020: 7334-7342 - 2019
- [c7]Bin Yu, Giovanna Graciani, Anderson C. A. Nascimento, Juhua Hu:
Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. IEEE BigData 2019: 4208-4213 - [c6]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV 2019: 6449-6457 - 2018
- [c5]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: 1244-1253 - 2015
- [c4]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding Multiple Stable Clusterings. ICDM 2015: 171-180 - 2014
- [c3]Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu:
Distance metric learning using dropout: a structured regularization approach. KDD 2014: 323-332 - [c2]Juhua Hu, Jian Pei, Jie Tang:
How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. SDM 2014: 136-144 - 2012
- [c1]Yufeng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou:
Towards Discovering What Patterns Trigger What Labels. AAAI 2012: 1012-1018
Informal and Other Publications
- 2024
- [i18]Jiawei Yao, Juhua Hu:
Dual-disentangled Deep Multiple Clustering. CoRR abs/2402.05310 (2024) - [i17]Jiawei Yao, Qi Qian, Juhua Hu:
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. CoRR abs/2404.15655 (2024) - [i16]Qi Qian, Juhua Hu:
Online Zero-Shot Classification with CLIP. CoRR abs/2408.13320 (2024) - [i15]Qi Qian, Yuanhong Xu, Juhua Hu:
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. CoRR abs/2408.13351 (2024) - [i14]Richard Franklin, Jiawei Yao, Deyang Zhong, Qi Qian, Juhua Hu:
Text-Guided Mixup Towards Long-Tailed Image Categorization. CoRR abs/2409.03583 (2024) - [i13]Qi Qian, Haiyang Xu, Ming Yan, Juhua Hu:
SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing. CoRR abs/2409.10476 (2024) - 2023
- [i12]Tucker Stewart, Bin Yu, Anderson C. A. Nascimento, Juhua Hu:
Enhancing Peak Network Traffic Prediction via Time-Series Decomposition. CoRR abs/2303.13529 (2023) - [i11]Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. CoRR abs/2304.01489 (2023) - [i10]Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu:
Multi-Subset Approach to Early Sepsis Prediction. CoRR abs/2304.06384 (2023) - [i9]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 abs/2304.12737 (2023) - [i8]Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu:
AugDMC: Data Augmentation Guided Deep Multiple Clustering. CoRR abs/2306.13023 (2023) - [i7]Qi Qian, Yuanhong Xu, Juhua Hu:
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. CoRR abs/2310.19752 (2023) - 2021
- [i6]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR abs/2105.11527 (2021) - 2020
- [i5]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Representation Learning with Fine-grained Patterns. CoRR abs/2005.09681 (2020) - [i4]Qi Qian, Hao Li, Juhua Hu:
Efficient Kernel Transfer in Knowledge Distillation. CoRR abs/2009.14416 (2020) - 2019
- [i3]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR abs/1909.05235 (2019) - [i2]Qi Qian, Juhua Hu, Hao Li:
Hierarchically Robust Representation Learning. CoRR abs/1911.04047 (2019) - 2018
- [i1]Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei:
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR abs/1802.06259 (2018)
Coauthor Index
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