Wang, Hua

48 publications

IJCAI 2024 Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting Wenchang Zhang, Hua Wang, Fan Zhang

NeurIPS 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization Hua Wang, Sheng Gao, Huanyu Zhang, Weijie Su, Milan Shen

TMLR 2023 On the Convergence and Calibration of Deep Learning with Differential Privacy Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long

IJCAI 2022 I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation Hua Wang, Linwei Qiu, Jingfei Hu, Jicong Zhang

NeurIPS 2021 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations Jiayao Zhang, Hua Wang, Weijie Su

AAAI 2021 Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie

AAAI 2020 Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang

CVPRW 2020 NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen

NeurIPS 2020 The Complete Lasso Tradeoff Diagram Hua Wang, Yachong Yang, Zhiqi Bu, Weijie Su

IJCAI 2019 Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie

IJCAI 2019 Learning Strictly Orthogonal P-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie

AAAI 2019 Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration Kai Liu, Hua Wang, Fei Han, Hao Zhang

IJCAI 2018 High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization Kai Liu, Hua Wang

AAAI 2018 Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection Fei Han, Hua Wang, Hao Zhang

AAAI 2017 Semi-Supervised Classifications via Elastic and Robust Embedding Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

AAAI 2016 Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang

IJCAI 2016 Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking Xue Yang, Fei Han, Hua Wang, Hao Zhang

AAAI 2016 New L1-Norm Relaxations and Optimizations for Graph Clustering Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

AAAI 2015 Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction Weilong Yao, Jing He, Hua Wang, Yanchun Zhang, Jie Cao

AAAI 2015 Learning Robust Locality Preserving Projection via P-Order Minimization Hua Wang, Feiping Nie, Heng Huang

AAAI 2014 Globally and Locally Consistent Unsupervised Projection Hua Wang, Feiping Nie, Heng Huang

AAAI 2014 Low-Rank Tensor Completion with Spatio-Temporal Consistency Hua Wang, Feiping Nie, Heng Huang

ICML 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization Hua Wang, Feiping Nie, Heng Huang

IJCAI 2013 Adaptive Loss Minimization for Semi-Supervised Elastic Embedding Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Early Active Learning via Robust Representation and Structured Sparsity Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

CVPR 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine Hua Wang, Feiping Nie, Heng Huang, Chris Ding

ICML 2013 Multi-View Clustering and Feature Learning via Structured Sparsity Hua Wang, Feiping Nie, Heng Huang

IJCAI 2013 Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations Hua Wang, Heng Huang, Chris H. Q. Ding

ICML 2013 Robust and Discriminative Self-Taught Learning Hua Wang, Feiping Nie, Heng Huang

ICCV 2013 Semi-Supervised Robust Dictionary Learning via Efficient L-Norms Minimization Hua Wang, Feiping Nie, Weidong Cai, Heng Huang

NeurIPS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen

CVPR 2012 Robust and Discriminative Distance for Multi-Instance Learning Hua Wang, Feiping Nie, Heng Huang

ECCV 2012 Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-Relational Graph Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding

ICCV 2011 Dyadic Transfer Learning for Cross-Domain Image Classification Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

IJCAI 2011 Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon

CVPR 2011 Image Annotation Using Bi-Relational Graph of Images and Semantic Labels Hua Wang, Heng Huang, Chris H. Q. Ding

AAAI 2011 Learning Instance Specific Distance for Multi-Instance Classification Hua Wang, Feiping Nie, Heng Huang

NeurIPS 2011 Maximum Margin Multi-Instance Learning Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Ding

IJCAI 2011 Robust Principal Component Analysis with Non-Greedy L1-Norm Maximization Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang

ICCV 2011 Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen

ICCV 2011 Unsupervised and Semi-Supervised Learning via ℓ1-Norm Graph Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2010 Directed Graph Learning via High-Order Co-Linkage Analysis Hua Wang, Chris H. Q. Ding, Heng Huang

AAAI 2010 Discriminant Laplacian Embedding Hua Wang, Heng Huang, Chris H. Q. Ding

ECCV 2010 Image Categorization Using Directed Graphs Hua Wang, Heng Huang, Chris H. Q. Ding

AAAI 2010 Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor Hua Wang, Chris H. Q. Ding, Heng Huang

ECCV 2010 Multi-Label Feature Transform for Image Classifications Hua Wang, Heng Huang, Chris H. Q. Ding

ECCV 2010 Multi-Label Linear Discriminant Analysis Hua Wang, Chris H. Q. Ding, Heng Huang

ICCV 2009 Image Annotation Using Multi-Label Correlated Green's Function Hua Wang, Heng Huang, Chris H. Q. Ding