#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions. - Anna Priante; Djoerd Hiemstra; Tijs A. van den Broek; Aaqib Saeed; Michel L. Ehrenhard; Ariana Need (NLP+CSS@EMNLP, 2016)

Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors. - Aaqib Saeed; Stojan Trajanovski; Maurice van Keulen; Jan B. F. van Erp (ICDM Workshops, 2017)

Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals. - Aaqib Saeed; Stojan Trajanovski (CoRR, 2017)

Model Adaptation and Personalization for Physiological Stress Detection. - Aaqib Saeed; Tanir Ozcelebi; Johan Lukkien; Jan B. F. van Erp; Stojan Trajanovski (DSAA, 2018)

Learning behavioral context recognition with multi-stream temporal convolutional networks. - Aaqib Saeed; Tanir Ozcelebi; Stojan Trajanovski; Johan Lukkien (CoRR, 2018)

Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition. - Aaqib Saeed; Tanir Ozcelebi; Johan Lukkien (Sensors, 2018)

End-to-End Multi-Modal Behavioral Context Recognition in a Real-Life Setting. - Aaqib Saeed; Tanir Ozcelebi; Stojan Trajanovski; Johan J. Lukkien (FUSION, 2019)

Multi-task Self-Supervised Learning for Human Activity Detection. - Aaqib Saeed; Tanir Ozcelebi; Johan Lukkien (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Multi-sensor data augmentation for robust sensing. - Aaqib Saeed; Ye Li; Tanir Ozcelebi; Johan Lukkien (COINS, 2020)

Towards federated unsupervised representation learning. - Bram van Berlo; Aaqib Saeed; Tanir Ozcelebi (EdgeSys@EuroSys, 2020)

Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence. - Aaqib Saeed; Flora D. Salim; Tanir Özçelebi; Johan Lukkien (CoRR, 2020)

Sense and Learn: Self-Supervision for Omnipresent Sensors. - Aaqib Saeed; Victor Ungureanu; Beat Gfeller (CoRR, 2020)

Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering. - Aaqib Saeed; David Grangier; Olivier Pietquin; Neil Zeghidour (ICASSP, 2021)

Contrastive Learning of General-Purpose Audio Representations. - Aaqib Saeed; David Grangier; Neil Zeghidour (ICASSP, 2021)

Hierarchical Classification and Transfer Learning to Recognize Head Gestures and Facial Expressions Using Earbuds. - Shkurta Gashi; Aaqib Saeed; Alessandra Vicini; Elena Di Lascio; Silvia Santini (ICMI, 2021)

ProcessTransformer: Predictive Business Process Monitoring with Transformer Network. - Zaharah Allah Bukhsh; Aaqib Saeed; Remco M. Dijkman (CoRR, 2021)

Consistency Training of Multi-exit Architectures for Sensor Data. - Aaqib Saeed (CoRR, 2021)

Extrapolating from a Single Image to a Thousand Classes using Distillation. - Yuki M. Asano; Aaqib Saeed (CoRR, 2021)

LumNet: Learning to Estimate Vertical Visual Field Luminance for Adaptive Lighting Control. - Prince U. C. Songwa; Aaqib Saeed; Sachin Bhardwaj; Marijn Kruisselbrink; Tanir Ozcelebi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence. - Aaqib Saeed; Flora D. Salim; Tanir Ozcelebi; Johan Lukkien (IEEE Internet Things J., 2021)

Damage detection using in-domain and cross-domain transfer learning. - Zaharah Allah Bukhsh; Nils Jansen 001; Aaqib Saeed (Neural Comput. Appl., 2021)

Federated Self-Training for Data-Efficient Audio Recognition. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi (ICASSP, 2022)

Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices. - Aaqib Saeed (INTERSPEECH, 2022)

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. - Shohreh Deldari; Hao Xue 001; Aaqib Saeed; Jiayuan He 002; Daniel V. Smith; Flora D. Salim (CoRR, 2022)

Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals. - Harlin Lee; Aaqib Saeed (CoRR, 2022)

Federated Learning with Noisy Labels. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi; Nirvana Meratnia (CoRR, 2022)

COCOA: Cross Modality Contrastive Learning for Sensor Data. - Shohreh Deldari; Hao Xue 001; Aaqib Saeed; Daniel V. Smith; Flora D. Salim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Federated Self-training for Semi-supervised Audio Recognition. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi (ACM Trans. Embed. Comput. Syst., 2022)

On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. - Zaharah Allah Bukhsh; Aaqib Saeed (ICASSP, 2023)

Active Learning of non-Semantic Speech Tasks with Pretrained models. - Harlin Lee; Aaqib Saeed; Andrea L. Bertozzi (ICASSP, 2023)

The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image. - Yuki M. Asano; Aaqib Saeed (ICLR, 2023)

Plug-and-Play Multilingual Few-shot Spoken Words Recognition. - Aaqib Saeed; Vasileios Tsouvalas (CoRR, 2023)

Federated Fine-Tuning of Foundation Models via Probabilistic Masking. - Vasileios Tsouvalas; Yuki Asano 001; Aaqib Saeed (CoRR, 2023)

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. - Saurav Raj Pandey; Aaqib Saeed; Harlin Lee (BHI, 2024)

Collaboratively Learning Federated Models from Noisy Decentralized Data. - Haoyuan Li; Mathias Funk; Nezihe Merve Gürel; Aaqib Saeed (IEEE Big Data, 2024)

DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models. - Vasileios Tsouvalas; Yuki M. Asano; Aaqib Saeed (IEEE Big Data, 2024)

Federated Learning with a Single Shared Image. - Sunny Soni; Aaqib Saeed; Yuki M. Asano (CVPR Workshops, 2024)

Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi; Nirvana Meratnia (ICASSP, 2024)

RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. - Yuwei Zhang; Tong Xia; Aaqib Saeed; Cecilia Mascolo (ML4H@NeurIPS, 2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. - Aaqib Saeed; Dimitris Spathis; Jungwoo Oh; Edward Choi; Ali Etemad (CoRR, 2024)

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. - Dimitris Spathis; Aaqib Saeed; Ali Etemad; Sana Tonekaboni; Stefanos Laskaridis; Shohreh Deldari; Chi Ian Tang; Patrick Schwab; Shyam A. Tailor (CoRR, 2024)

C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. - Manh Pham; Aaqib Saeed; Dong Ma 001 (CoRR, 2024)

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. - Saurav R. Pandey; Aaqib Saeed; Harlin Lee (CoRR, 2024)

Distilled non-semantic speech embeddings with binary neural networks for low-resource devices. - Harlin Lee; Aaqib Saeed (Pattern Recognit. Lett., 2024)

Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. - Vasileios Tsouvalas; Aaqib Saeed; Tanir Ozcelebi; Nirvana Meratnia (ACM Trans. Intell. Syst. Technol., 2024)

Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. - Jialu Tang; Tong Xia; Yuan Lu; Cecilia Mascolo; Aaqib Saeed (CHIL, 2025)

CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning. - Tsai-Ning Wang; Lin-Lin Chen; Neil Zeghidour; Aaqib Saeed (CHIL, 2025)

Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. - Jialu Tang; Tong Xia; Yuan Lu; Cecilia Mascolo; Aaqib Saeed (ICASSP, 2025)

FAST: Federated Active Learning With Foundation Models for Communication-Efficient Sampling and Training. - Haoyuan Li; Mathias Funk; Jindong Wang 001; Aaqib Saeed (IEEE Internet Things J., 2025)

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact. - Manh Pham Hung; Matthew Yiwen Ho; Yiming Zhang; Dimitris Spathis; Aaqib Saeed; Dong Ma 001 (CoRR, 2025)