Juhua Hu - RankMe

51 papers A* 11A 5B 3Misc 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rare Event Early Detection: A Dataset of Sepsis Onset for Critically Ill Trauma Patients. CoRR Yin Jin, Tucker Stewart, Deyi Zhou, Chhavi Gupta, Arjita Nema, Scott C. Brakenridge, Grant E. O'Keefe, Juhua Hu
2025	J	`jnl`	Hierarchy-Aware Fine-Tuning of Vision-Language Models. CoRR Jiayu Li, Rajesh Gangireddy, Samet Akcay, Wei Cheng, Juhua Hu
2025	J	`jnl`	MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs. CoRR Sixun Dong, Juhua Hu, Mian Zhang, Ming Yin, Yanjie Fu, Qi Qian
2024	B	`conf`	Curbside Parking Occupancy Detection - Dashcam-Based Solutions. MDM Jiayu Li, Hanming Zhang, Juhua Hu, Wei Cheng
2024	A*	`conf`	Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning. NeurIPS Jiawei Yao, Qi Qian, Juhua Hu
2024	J	`jnl`	Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning. CoRR Jiawei Yao, Qi Qian, Juhua Hu
2024	A	`conf`	Dual-disentangled Deep Multiple Clustering. SDM Jiawei Yao, Juhua Hu
2024	J	`jnl`	Dual-disentangled Deep Multiple Clustering. CoRR Jiawei Yao, Juhua Hu
2024	—	`conf`	Efficiently Build An Accurate Curbside Parking Rule Database for Autonomous Vehicle. MOST Jiayu Li, Yin Jin, Deyang Zhong, Juhua Hu, Wei Cheng
2024	A*	`conf`	Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. CVPR Jiawei Yao, Qi Qian, Juhua Hu
2024	J	`jnl`	Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. CoRR Jiawei Yao, Qi Qian, Juhua Hu
2024	—	`conf`	Online Zero-Shot Classification with CLIP. ECCV (77) Qi Qian, Juhua Hu
2024	J	`jnl`	Online Zero-Shot Classification with CLIP. CoRR Qi Qian, Juhua Hu
2024	—	`conf`	SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. ECCV (78) Qi Qian, Yuanhong Xu, Juhua Hu
2024	J	`jnl`	SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. CoRR Qi Qian, Yuanhong Xu, Juhua Hu
2024	J	`jnl`	SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing. CoRR Qi Qian, Haiyang Xu, Ming Yan, Juhua Hu
2024	A	`conf`	Text-Guided Mixup Towards Long-Tailed Image Categorization. BMVC Richard Franklin, Jiawei Yao, Deyang Zhong, Qi Qian, Juhua Hu
2024	J	`jnl`	Text-Guided Mixup Towards Long-Tailed Image Categorization. CoRR Richard Franklin, Jiawei Yao, Deyang Zhong, Qi Qian, Juhua Hu
2023	—	`conf`	AugDMC: Data Augmentation Guided Deep Multiple Clustering. INNS DLIA@IJCNN Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu
2023	J	`jnl`	AugDMC: Data Augmentation Guided Deep Multiple Clustering. CoRR Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu
2023	A	`conf`	Dictionary-Guided Text Recognition for Smart Street Parking. BMVC Deyang Zhong, Jiayu Li, Wei Cheng, Juhua Hu
2023	J	`jnl`	Enhancing Peak Network Traffic Prediction via Time-Series Decomposition. CoRR Tucker Stewart, Bin Yu, Anderson C. A. Nascimento, Juhua Hu
2023	A*	`conf`	Improved Visual Fine-tuning with Natural Language Supervision. ICCV Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian
2023	J	`jnl`	Improved Visual Fine-tuning with Natural Language Supervision. CoRR Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian
2023	A*	`conf`	Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. NeurIPS Qi Qian, Yuanhong Xu, Juhua Hu
2023	J	`jnl`	Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. CoRR Qi Qian, Yuanhong Xu, Juhua Hu
2023	J	`jnl`	Multi-Subset Approach to Early Sepsis Prediction. CoRR Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
2023	B	`conf`	NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. IEEE Big Data Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
2023	J	`jnl`	NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. CoRR Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
2022	A	`conf`	Improved Knowledge Distillation via Full Kernel Matrix Transfer. SDM Qi Qian, Hao Li, Juhua Hu
2022	B	`conf`	Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care. IEEE Big Data Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe
2022	A*	`conf`	Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
2021	Misc	`conf`	Clustering Analysis of Email Malware Campaigns. CSR Ruichao Zhang, Shang Wang, Renée Burton, Minh Hoang, Juhua Hu, Anderson C. A. Nascimento
2021	—	`conf`	Fairness in Healthcare AI. ICHI Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai
2021	—	`conf`	Interpretable Phenotyping for Electronic Health Records. ICHI Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2021	J	`jnl`	Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
2021	A*	`conf`	Weakly Supervised Representation Learning with Coarse Labels. ICCV Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
2020	J	`jnl`	Efficient Kernel Transfer in Knowledge Distillation. CoRR Qi Qian, Hao Li, Juhua Hu
2020	A*	`conf`	Hierarchically Robust Representation Learning. CVPR Qi Qian, Juhua Hu, Hao Li
2020	J	`jnl`	Representation Learning with Fine-grained Patterns. CoRR Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
2019	—	`conf`	Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. IEEE BigData Bin Yu, Giovanna Graciani, Anderson C. A. Nascimento, Juhua Hu
2019	J	`jnl`	Hierarchically Robust Representation Learning. CoRR Qi Qian, Juhua Hu, Hao Li
2019	A*	`conf`	SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin
2019	J	`jnl`	SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin
2018	A*	`conf`	Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. KDD Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
2018	J	`jnl`	Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
2018	J	`jnl`	Subspace multi-clustering: a review. Knowl. Inf. Syst. Juhua Hu, Jian Pei
2017	J	`jnl`	Finding multiple stable clusterings. Knowl. Inf. Syst. Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
2015	A*	`conf`	Finding Multiple Stable Clusterings. ICDM Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
2014	A*	`conf`	Distance metric learning using dropout: a structured regularization approach. KDD Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu
2014	A	`conf`	How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. SDM Juhua Hu, Jian Pei, Jie Tang