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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.16123-16134

2022

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CodeS: Towards Code Model Generalization Under Distribution Shift

2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), 2023, p.1-6

2023

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Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-9

2022

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SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

2020

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Potential Based Reward Shaping Using Learning to Rank

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on human-robot interaction, 2017, p.261-262

2017

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Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on human-robot interaction, 2017, p.373-374

2017

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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.9275-9285

2022

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WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-8

2022

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Asymmetric Transitivity Preserving Graph Embedding

Proceedings of the 22nd ACM SIGKDD International Conference on knowledge discovery and data mining, 2016, p.1105-1114

2016

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Testing DNN Image Classifiers for Confusion & Bias Errors

2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2020, p.304-305

2020

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Self-Checking Deep Neural Networks in Deployment

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.372-384

2021

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Contrastive Test-Time Adaptation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.295-305

2022

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A machine learning based approach to identify SQL injection vulnerabilities

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2019, p.1286-1288

Zhang, Kevin

2019

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Selective-Supervised Contrastive Learning with Noisy Labels

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.316-325

2022

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Constrained Few-shot Class-incremental Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.9047-9057

2022

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Knowledge distillation: A good teacher is patient and consistent

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10915-10924

2022

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Scaling Vision Transformers

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.1204-1213

2022

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Classification of Short Texts by Deploying Topical Annotations

Advances in Information Retrieval, 2012, p.376-387

2012

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Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10164-10173

2022

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CC2Vec: Distributed Representations of Code Changes

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.518-529

2020

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Semantically Enhanced Software Traceability Using Deep Learning Techniques

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.3-14

2017

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When Does Contrastive Visual Representation Learning Work?

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.01-10

2022

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Feature Selection for Improved Phishing Detection

Advanced Research in Applied Artificial Intelligence, 2012, p.252-261

2012

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Grounded Language-Image Pre-training

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10955-10965

2022

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A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models

2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR), 2017, p.146-157

2017

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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

CodeS: Towards Code Model Generalization Under Distribution Shift

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

Potential Based Reward Shaping Using Learning to Rank

Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

Asymmetric Transitivity Preserving Graph Embedding

Testing DNN Image Classifiers for Confusion & Bias Errors

Self-Checking Deep Neural Networks in Deployment

Contrastive Test-Time Adaptation

A machine learning based approach to identify SQL injection vulnerabilities

Selective-Supervised Contrastive Learning with Noisy Labels

Constrained Few-shot Class-incremental Learning

Knowledge distillation: A good teacher is patient and consistent

Scaling Vision Transformers

Classification of Short Texts by Deploying Topical Annotations

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

CC2Vec: Distributed Representations of Code Changes

Semantically Enhanced Software Traceability Using Deep Learning Techniques

When Does Contrastive Visual Representation Learning Work?

Feature Selection for Improved Phishing Detection

Grounded Language-Image Pre-training

A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models

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