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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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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

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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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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Generative Adversarial Attack on Ensemble Clustering

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3839-3848

2022

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Transfer learning across human activities using a cascade neural network architecture

Proceedings of the 23rd International Symposium on Wearable Computers, 2019, p.35-44

2019

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Model-Reuse Attacks on Deep Learning Systems

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018, p.349-363

2018

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Wav2CLIP: Learning Robust Audio Representations from Clip

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.4563-4567

2022

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IEEE_Xplore

A replication study: just-in-time defect prediction with ensemble learning

2018 IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE), 2018, p.42-47

2018

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IEEE_Xplore

Improving Deep Learning for HAR with Shallow LSTMs

2021 International Symposium on Wearable Computers, 2021, p.7-12

2021

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Dual-side sparse tensor core

2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 2021, p.1083-1095

2021

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Cross-modal Adversarial Reprogramming

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2898-2906

2022

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IEEE_Xplore

One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2856-2866

2022

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IEEE_Xplore

On attention models for human activity recognition

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018, p.100-103

2018

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NeuroDiff: scalable differential verification of neural networks using fine-grained approximation

2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020, p.784-796

2020

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IEEE_Xplore

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.986-996

2022

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Tensor feature hallucination for few-shot learning

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2050-2060

2022

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Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks

2022 IEEE 40th International Conference on Computer Design (ICCD), 2022, p.652-655

2022

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IEEE_Xplore

Understanding and improving recurrent networks for human activity recognition by continuous attention

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018, p.56-63

2018

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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

2019 IEEE Symposium on Security and Privacy (SP), 2019, p.739-753

2019

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IEEE_Xplore

Federated Learning over Wireless Networks: Optimization Model Design and Analysis

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019, p.1387-1395

2019

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IEEE_Xplore

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3849-3858

2022

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IEEE_Xplore

Self-Supervised Learning for Few-Shot Image Classification

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.1745-1749

2021

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IEEE_Xplore

A timing engine inspired graph neural network model for pre-routing slack prediction

Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022, p.1207-1212

2022

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Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2826-2835

2022

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IEEE_Xplore

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Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

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

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Generative Adversarial Attack on Ensemble Clustering

Transfer learning across human activities using a cascade neural network architecture

Model-Reuse Attacks on Deep Learning Systems

Wav2CLIP: Learning Robust Audio Representations from Clip

A replication study: just-in-time defect prediction with ensemble learning

Improving Deep Learning for HAR with Shallow LSTMs

Dual-side sparse tensor core

Cross-modal Adversarial Reprogramming

One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection

On attention models for human activity recognition

NeuroDiff: scalable differential verification of neural networks using fine-grained approximation

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation

Tensor feature hallucination for few-shot learning

Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks

Understanding and improving recurrent networks for human activity recognition by continuous attention

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Federated Learning over Wireless Networks: Optimization Model Design and Analysis

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

Self-Supervised Learning for Few-Shot Image Classification

A timing engine inspired graph neural network model for pre-routing slack prediction

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

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