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All You Need is "Love": Evading Hate Speech Detection

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018, p.2-12

2018

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A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, p.1133-1147

2020

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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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IEEE_Xplore

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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IEEE_Xplore

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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IEEE_Xplore

Mitigating Unwanted Biases with Adversarial Learning

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, p.335-340

2018

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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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Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

Proceedings of the 2018 World Wide Web Conference, 2018, p.1063-1072

2018

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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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IEEE_Xplore

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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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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Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.2485-2494

2021

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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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IEEE_Xplore

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

Companion Proceedings of The 2019 World Wide Web Conference, 2019, p.491-500

2019

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Learning Structural Node Embeddings via Diffusion Wavelets

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.1320-1329

2018

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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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IEEE_Xplore

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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Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.257-266

2019

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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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Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Proceedings of the 26th ACM international conference on Multimedia, 2018, p.274-282

2018

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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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IEEE_Xplore

Adversarial Attacks on Neural Networks for Graph Data

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.2847-2856

2018

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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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IEEE_Xplore

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Proceedings of the 26th ACM international conference on Multimedia, 2018, p.402-410

2018

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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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IEEE_Xplore

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All You Need is "Love": Evading Hate Speech Detection

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

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

Mitigating Unwanted Biases with Adversarial Learning

CodeS: Towards Code Model Generalization Under Distribution Shift

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

SynergicLearning: neural network-based feature extraction for highly-accurate hyperdimensional learning

Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping

Potential Based Reward Shaping Using Learning to Rank

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization

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

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

Learning Structural Node Embeddings via Diffusion Wavelets

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

Asymmetric Transitivity Preserving Graph Embedding

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Testing DNN image classifiers for confusion & bias errors

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Self-Checking Deep Neural Networks in Deployment

Adversarial Attacks on Neural Networks for Graph Data

When Does Contrastive Visual Representation Learning Work?

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Contrastive Test-Time Adaptation

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