Towards Discovering What Patterns Trigger What Labels. - Yufeng Li 008; Ju-Hua Hu; Yuan Jiang 001; Zhi-Hua Zhou (AAAI, 2012)

Distance metric learning using dropout: a structured regularization approach. - Qi Qian 001; Juhua Hu; Rong Jin 001; Jian Pei 001; Shenghuo Zhu (KDD, 2014)

How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. - Juhua Hu; Jian Pei 001; Jie Tang 001 (SDM, 2014)

Pairwised Specific Distance Learning from Physical Linkages. - Ju-Hua Hu; De-Chuan Zhan; Xintao Wu; Yuan Jiang 001; Zhi-Hua Zhou (ACM Trans. Knowl. Discov. Data, 2015)

Finding multiple stable clusterings. - Juhua Hu; Qi Qian 001; Jian Pei 001; Rong Jin 001; Shenghuo Zhu (Knowl. Inf. Syst., 2017)

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. - Lingyang Chu; Xia Hu; Juhua Hu; Lanjun Wang; Jian Pei 001 (KDD, 2018)

Subspace multi-clustering: a review. - Juhua Hu; Jian Pei 001 (Knowl. Inf. Syst., 2018)

Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. - Bin Yu; Giovanna Graciani; Anderson C. A. Nascimento; Juhua Hu (IEEE BigData, 2019)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. - Qi Qian 001; Lei Shang; Baigui Sun; Juhua Hu; Tacoma Tacoma; Hao Li 030; Rong Jin 001 (ICCV, 2019)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. - Qi Qian 001; Lei Shang; Baigui Sun; Juhua Hu; Hao Li 030; Rong Jin 001 (CoRR, 2019)

Hierarchically Robust Representation Learning. - Qi Qian 001; Juhua Hu; Hao Li 030 (CVPR, 2020)

Representation Learning with Fine-grained Patterns. - Yuanhong Xu; Qi Qian 001; Hao Li 030; Rong Jin 001; Juhua Hu (CoRR, 2020)

Efficient Kernel Transfer in Knowledge Distillation. - Qi Qian 001; Hao Li 030; Juhua Hu (CoRR, 2020)

Clustering Analysis of Email Malware Campaigns. - Ruichao Zhang; Shang Wang; Renée Burton; Minh Hoang; Juhua Hu; Anderson C. A. Nascimento (CSR, 2021)

Weakly Supervised Representation Learning with Coarse Labels. - Yuanhong Xu; Qi Qian 001; Hao Li 030; Rong Jin 001; Juhua Hu (ICCV, 2021)

Fairness in Healthcare AI. - Muhammad Aurangzeb Ahmad; Carly Eckert; Christine Allen; Vikas Kumar; Juhua Hu; Ankur Teredesai (ICHI, 2021)

Interpretable Phenotyping for Electronic Health Records. - Christine Allen; Juhua Hu; Vikas Kumar; Muhammad Aurangzeb Ahmad; Ankur Teredesai (ICHI, 2021)

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 (IEEE Big Data, 2022)

Unsupervised Visual Representation Learning by Online Constrained K-Means. - Qi Qian 001; Yuanhong Xu; Juhua Hu; Hao Li 030; Rong Jin 001 (CVPR, 2022)

Improved Knowledge Distillation via Full Kernel Matrix Transfer. - Qi Qian 001; Hao Li 030; Juhua Hu (SDM, 2022)

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 (IEEE Big Data, 2023)

Dictionary-Guided Text Recognition for Smart Street Parking. - Deyang Zhong; Jiayu Li; Wei Cheng; Juhua Hu (BMVC, 2023)

Improved Visual Fine-tuning with Natural Language Supervision. - Junyang Wang 001; Yuanhong Xu; Juhua Hu; Ming Yan 008; Jitao Sang; Qi Qian 001 (ICCV, 2023)

AugDMC: Data Augmentation Guided Deep Multiple Clustering. - Jiawei Yao; Enbei Liu; Maham Rashid; Juhua Hu (INNS DLIA@IJCNN, 2023)

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. - Qi Qian 001; Yuanhong Xu; Juhua Hu (NeurIPS, 2023)

Enhancing Peak Network Traffic Prediction via Time-Series Decomposition. - Tucker Stewart; Bin Yu; Anderson C. A. Nascimento; Juhua Hu (CoRR, 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)

Text-Guided Mixup Towards Long-Tailed Image Categorization. - Richard Franklin; Jiawei Yao; Deyang Zhong; Qi Qian 001; Juhua Hu (BMVC, 2024)

Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. - Jiawei Yao; Qi Qian 001; Juhua Hu (CVPR, 2024)

Online Zero-Shot Classification with CLIP. - Qi Qian 001; Juhua Hu (ECCV (77), 2024)

SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. - Qi Qian 001; Yuanhong Xu; Juhua Hu (ECCV (78), 2024)

Curbside Parking Occupancy Detection - Dashcam-Based Solutions. - Jiayu Li; Hanming Zhang; Juhua Hu; Wei Cheng (MDM, 2024)

Efficiently Build An Accurate Curbside Parking Rule Database for Autonomous Vehicle. - Jiayu Li; Yin Jin; Deyang Zhong; Juhua Hu; Wei Cheng (MOST, 2024)

Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning. - Jiawei Yao; Qi Qian 001; Juhua Hu (NeurIPS, 2024)

Dual-disentangled Deep Multiple Clustering. - Jiawei Yao; Juhua Hu (SDM, 2024)

SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing. - Qi Qian 001; Haiyang Xu 001; Ming Yan 008; Juhua Hu (CoRR, 2024)