Aaqib Saeed

Orcid: 0000-0003-1473-0322

According to our database1, Aaqib Saeed authored at least 45 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels.
ACM Trans. Intell. Syst. Technol., April, 2024

Distilled non-semantic speech embeddings with binary neural networks for low-resource devices.
Pattern Recognit. Lett., January, 2024

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals.
CoRR, 2024

Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning.
CoRR, 2024

RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction.
CoRR, 2024

C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training.
CoRR, 2024

Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling.
CoRR, 2024

Collaboratively Learning Federated Models from Noisy Decentralized Data.
CoRR, 2024

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024.
CoRR, 2024

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement.
CoRR, 2024

Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Federated Learning with a Single Shared Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking.
CoRR, 2023

Plug-and-Play Multilingual Few-shot Spoken Words Recognition.
CoRR, 2023

The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Active Learning of non-Semantic Speech Tasks with Pretrained models.
Proceedings of the IEEE International Conference on Acoustics, 2023

On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Federated Self-training for Semi-supervised Audio Recognition.
ACM Trans. Embed. Comput. Syst., November, 2022

COCOA: Cross Modality Contrastive Learning for Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Federated Learning with Noisy Labels.
CoRR, 2022

Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals.
CoRR, 2022

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data.
CoRR, 2022

Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Federated Self-Training for Data-Efficient Audio Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Damage detection using in-domain and cross-domain transfer learning.
Neural Comput. Appl., 2021

Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence.
IEEE Internet Things J., 2021

LumNet: Learning to Estimate Vertical Visual Field Luminance for Adaptive Lighting Control.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Extrapolating from a Single Image to a Thousand Classes using Distillation.
CoRR, 2021

Consistency Training of Multi-exit Architectures for Sensor Data.
CoRR, 2021

ProcessTransformer: Predictive Business Process Monitoring with Transformer Network.
CoRR, 2021

Hierarchical Classification and Transfer Learning to Recognize Head Gestures and Facial Expressions Using Earbuds.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Contrastive Learning of General-Purpose Audio Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Sense and Learn: Self-Supervision for Omnipresent Sensors.
CoRR, 2020

Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence.
CoRR, 2020

Towards federated unsupervised representation learning.
Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020

Multi-sensor data augmentation for robust sensing.
Proceedings of the 2020 International Conference on Omni-layer Intelligent Systems, 2020

2019
Multi-task Self-Supervised Learning for Human Activity Detection.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

End-to-End Multi-Modal Behavioral Context Recognition in a Real-Life Setting.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition.
Sensors, 2018

Learning behavioral context recognition with multi-stream temporal convolutional networks.
CoRR, 2018

Model Adaptation and Personalization for Physiological Stress Detection.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals.
CoRR, 2017

Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016


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