Gao Sheng Huang
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Gao Sheng Huangcomputer-science Degrees
Computer Science
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#6972
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Machine Learning
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#2234
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Artificial Intelligence
#2474
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#2515
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Database
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#3844
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Computer Science
Gao Sheng Huang's Degrees
- PhD Computer Science Cornell University
- Masters Computer Science Cornell University
- Bachelors Computer Science National Taiwan University
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Why Is Gao Sheng Huang Influential?
(Suggest an Edit or Addition)Gao Sheng Huang's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Densely Connected Convolutional Networks (2016) (25003)
- Deep Networks with Stochastic Depth (2016) (1800)
- Learning Efficient Convolutional Networks through Network Slimming (2017) (1650)
- Trends in extreme learning machines: A review (2015) (1421)
- Rethinking the Value of Network Pruning (2018) (1004)
- Snapshot Ensembles: Train 1, get M for free (2017) (661)
- Semi-Supervised and Unsupervised Extreme Learning Machines (2014) (659)
- CondenseNet: An Efficient DenseNet Using Learned Group Convolutions (2017) (646)
- Multi-Scale Dense Networks for Resource Efficient Image Classification (2017) (519)
- Horizontal Pyramid Matching for Person Re-identification (2018) (329)
- Convolutional Networks with Dense Connectivity (2019) (228)
- Resource Aware Person Re-identification Across Multiple Resolutions (2018) (214)
- Dynamic Neural Networks: A Survey (2021) (209)
- An empirical study on evaluation metrics of generative adversarial networks (2018) (190)
- Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation (2018) (157)
- 3D Object Detection with Pointformer (2020) (156)
- Supervised Word Mover's Distance (2016) (146)
- Gradient boosted feature selection (2014) (139)
- Memory-Efficient Implementation of DenseNets (2017) (134)
- Multi-Scale Dense Convolutional Networks for Efficient Prediction (2017) (115)
- Resolution Adaptive Networks for Efficient Inference (2020) (110)
- Asymmetric Valleys: Beyond Sharp and Flat Local Minima (2019) (107)
- Anytime Stereo Image Depth Estimation on Mobile Devices (2018) (103)
- Implicit Semantic Data Augmentation for Deep Networks (2019) (99)
- Deep Residual Correction Network for Partial Domain Adaptation (2020) (81)
- Improved Techniques for Training Adaptive Deep Networks (2019) (78)
- Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification (2020) (76)
- Joint Adversarial Domain Adaptation (2019) (75)
- Cannabinoid receptor agonists and antagonists stimulate insulin secretion from isolated human islets of Langerhans (2011) (61)
- Regularizing Deep Networks With Semantic Data Augmentation (2020) (61)
- Domain Conditioned Adaptation Network (2020) (58)
- Interpretable Spatio-Temporal Attention for Video Action Recognition (2018) (57)
- Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation (2020) (55)
- Robust Support Vector Regression for Uncertain Input and Output Data (2012) (53)
- Prediction Reweighting for Domain Adaptation (2017) (51)
- Discriminative clustering via extreme learning machine (2015) (49)
- Unsupervised neighborhood component analysis for clustering (2015) (44)
- Revisiting Locally Supervised Learning: an Alternative to End-to-end Training (2021) (40)
- Orthogonal Least Squares Algorithm for Training Cascade Neural Networks (2012) (40)
- GPR54 peptide agonists stimulate insulin secretion from murine, porcine and human islets (2012) (37)
- Twin extreme learning machines for pattern classification (2017) (36)
- Human Islets Derived From Donors After Cardiac Death Are Fully Biofunctional (2007) (34)
- Cross-Domain Extreme Learning Machines for Domain Adaptation (2019) (32)
- Generalized Domain Conditioned Adaptation Network (2021) (25)
- SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation (2022) (24)
- Dimension Reduction by Minimum Error Minimax Probability Machine (2017) (23)
- Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning (2019) (19)
- Assisting scalable diagnosis automatically via CT images in the combat against COVID-19 (2020) (19)
- Learning Large Euclidean Margin for Sketch-based Image Retrieval (2018) (19)
- Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis (2019) (19)
- Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation (2020) (18)
- Evolving Attention with Residual Convolutions (2021) (17)
- Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving (2020) (16)
- Gated Path Selection Network for Semantic Segmentation (2020) (15)
- Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning (2020) (15)
- Anytime Representation Learning (2013) (15)
- Meta-Semi: A Meta-learning Approach for Semi-supervised Learning (2020) (15)
- Self-Supervised Discovering of Interpretable Features for Reinforcement Learning (2020) (14)
- A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing (2019) (12)
- A distinct immunogenic region of glutamic acid decarboxylase 65 is naturally processed and presented by human islet cells to cytotoxic CD8 T cells (2015) (12)
- Maximin Separation Probability Clustering (2015) (11)
- Graph Embedding-Based Dimension Reduction With Extreme Learning Machine (2019) (11)
- Efficient Lasso training from a geometrical perspective (2015) (10)
- FSD-10: A fine-grained classification dataset for figure skating (2020) (10)
- Inability to process and store proinsulin in transdifferentiated pancreatic acinar cells lacking the regulated secretory pathway. (2008) (10)
- Recent Advances in Polychloromethylation Reactions (2020) (8)
- HLA‐DR‐restricted T cell lines from newly diagnosed type 1 diabetic patients specific for insulinoma and normal islet beta cell proteins: lack of reactivity to glutamic acid decarboxylase (1995) (8)
- Kernelized LARS–LASSO for constructing radial basis function neural networks (2013) (8)
- A second order cone programming approach for semi-supervised learning (2013) (8)
- Artificial intelligence for stepwise diagnosis and monitoring of COVID-19 (2022) (8)
- Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos (2018) (8)
- Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax (2018) (7)
- Transductive Minimax Probability Machine (2014) (6)
- Integrating Large Circular Kernels into CNNs through Neural Architecture Search (2021) (5)
- Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration (2021) (5)
- The effect of gas concentration on optical gas sensing properties of Ag- and Pt-doped SnO2 ultrafine particle films (2000) (5)
- FSD-10: A Dataset for Competitive Sports Content Analysis (2020) (5)
- Non-linear neighborhood component analysis based on constructive neural networks (2014) (3)
- Incremental Extreme Learning Machine Based on Cascade Neural Networks (2015) (2)
- DiSparse: Disentangled Sparsification for Multitask Model Compression (2022) (2)
- The High Separation Probability Assumption for Semi-Supervised Learning (2022) (2)
- Dimension Reduction by Maximizing Pairwise Discriminations (2015) (1)
- Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis (2017) (1)
- Rhodium-catalyzed C-H activation/cyclization of aryl sulfoximines with iodonium ylides towards polycyclic 1,2-benzothiazines. (2021) (1)
- Circ_0136666 aggravates osteosarcoma development through mediating miR-1244/CEP55 axis (2022) (1)
- Cross-Iteration Batch Normalization (2019) (1)
- Identification of ZDHHC1 as a Pyroptosis Inducer and Potential Target in the Establishment of Pyroptosis-Related Signature in Localized Prostate Cancer (2022) (1)
- A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing (2019) (1)
- Aware Person Re-identification across Multiple Resolutions (2018) (0)
- Effect of insulin pump on oxygen stress level in patients with different courses of type 2 diabetes (2019) (0)
- Learning decomposed subspaces for supervised bidirectional image generation (2019) (0)
- Stepwise Diagnosis and Dynamic Change Prediction AI System for COVID-19 (2020) (0)
- ncRNA-mediated upregulation of FAM83A is associated with poor prognosis and immune infiltration in pancreatic cancer (2023) (0)
- Comparative response to incremental cardiopulmonary exercise testing in patients with uni- and bilateral diaphragm dysfunction (2021) (0)
- Rh(III)‐catalyzed C6‐selective C–H 3‐oxoalkylation of 2‐pyridones with allylic alcohols (2022) (0)
- Title: Assisting Scalable Diagnosis Automatically via CT Images in the Combat against COVID-19 (2020) (0)
- Self-exothermic reaction assisted green synthesis of carbon dots for the detection of para-nitrophenol and β-glucosidase activity (2023) (0)
- Assessing a Single Image in Reference-Guided Image Synthesis (2021) (0)
- Boosted Dynamic Neural Networks (2022) (0)
- Rhodium‐Catalyzed C–H Activation/Annulation of N‐Aryl‐Pyrazolidinones with Vinylene Carbonate (2022) (0)
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What Schools Are Affiliated With Gao Sheng Huang?
Gao Sheng Huang is affiliated with the following schools:
