Aaqib Saeed - RankMe

78 papers A* 2A 2B 4C 1Misc 7Journal 53Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning. CoRR Hung Manh Pham, Jinyang Wu, Xiao Ma, Yiming Zhang, Yixin Xu, Aaqib Saeed, Bin Zhu, Zhou Pan, Dong Ma
2026	J	`jnl`	StethoLM: Audio Language Model for Cardiopulmonary Analysis Across Clinical Tasks. CoRR Yishan Wang, Tsai-Ning Wang, Mathias Funk, Aaqib Saeed
2026	J	`jnl`	StethoLM: Audio Language Model for Cardiopulmonary Analysis Across Clinical Tasks. Trans. Mach. Learn. Res. Yishan Wang, Tsai-Ning Wang, Mathias Funk, Aaqib Saeed
2026	J	`jnl`	UniPACT: A Multimodal Framework for Prognostic Question Answering on Raw ECG and Structured EHR. CoRR Jialu Tang, Tong Xia, Yuan Lu, Aaqib Saeed
2025	A*	`conf`	Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners. ICML Manh Pham Hung, Aaqib Saeed, Dong Ma
2025	—	`conf`	CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning. CHIL Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed
2025	J	`jnl`	CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning. CoRR Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed
2025	Misc	`conf`	Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. ICASSP Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed
2025	—	`conf`	Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. CHIL Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed
2025	J	`jnl`	FAST: Federated Active Learning With Foundation Models for Communication-Efficient Sampling and Training. IEEE Internet Things J. Haoyuan Li, Mathias Funk, Jindong Wang, Aaqib Saeed
2025	J	`jnl`	FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training. CoRR Haoyuan Li, Mathias Funk, Jindong Wang, Aaqib Saeed
2025	J	`jnl`	Helmsman: Autonomous Synthesis of Federated Learning Systems via Multi-Agent Collaboration. CoRR Haoyuan Li, Mathias Funk, Aaqib Saeed
2025	J	`jnl`	Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment. CoRR Jialu Tang, Hung Manh Pham, Ignace De Lathauwer, Henk S. Schipper, Yuan Lu, Dong Ma, Aaqib Saeed
2025	J	`jnl`	Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding. CoRR Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed
2025	A	`conf`	Q-HEART: ECG Question Answering via Knowledge-Informed Multimodal LLMs. ECAI Hung Manh Pham, Jialu Tang, Aaqib Saeed, Dong Ma
2025	J	`jnl`	Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact. CoRR Manh Pham Hung, Matthew Yiwen Ho, Yiming Zhang, Dimitris Spathis, Aaqib Saeed, Dong Ma
2025	J	`jnl`	Unified Multi-task Learning for Voice-Based Detection of Diverse Clinical Conditions. CoRR Ran Piao, Yuan Lu, Hareld Kemps, Tong Xia, Aaqib Saeed
2024	J	`jnl`	A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam A. Tailor
2024	J	`jnl`	C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. CoRR Manh Pham, Aaqib Saeed, Dong Ma
2024	B	`conf`	Collaboratively Learning Federated Models from Noisy Decentralized Data. IEEE Big Data Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed
2024	J	`jnl`	Collaboratively Learning Federated Models from Noisy Decentralized Data. CoRR Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed
2024	Misc	`conf`	Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation. ICASSP Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
2024	J	`jnl`	Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation. CoRR Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
2024	B	`conf`	DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models. IEEE Big Data Vasileios Tsouvalas, Yuki M. Asano, Aaqib Saeed
2024	J	`jnl`	Distilled non-semantic speech embeddings with binary neural networks for low-resource devices. Pattern Recognit. Lett. Harlin Lee, Aaqib Saeed
2024	J	`jnl`	Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. CoRR Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed
2024	J	`jnl`	Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. CoRR Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed
2024	—	`conf`	Federated Learning with a Single Shared Image. CVPR Workshops Sunny Soni, Aaqib Saeed, Yuki M. Asano
2024	J	`jnl`	Federated Learning with a Single Shared Image. CoRR Sunny Soni, Aaqib Saeed, Yuki M. Asano
2024	J	`jnl`	Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. ACM Trans. Intell. Syst. Technol. Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
2024	J	`jnl`	Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. CoRR Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad
2024	—	`conf`	PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. BHI Saurav Raj Pandey, Aaqib Saeed, Harlin Lee
2024	J	`jnl`	PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. CoRR Saurav R. Pandey, Aaqib Saeed, Harlin Lee
2024	—	`conf`	RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. ML4H@NeurIPS Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo
2024	J	`jnl`	RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. CoRR Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo
2023	Misc	`conf`	Active Learning of non-Semantic Speech Tasks with Pretrained models. ICASSP Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
2023	J	`jnl`	Federated Fine-Tuning of Foundation Models via Probabilistic Masking. CoRR Vasileios Tsouvalas, Yuki Asano, Aaqib Saeed
2023	Misc	`conf`	On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. ICASSP Zaharah Allah Bukhsh, Aaqib Saeed
2023	J	`jnl`	Plug-and-Play Multilingual Few-shot Spoken Words Recognition. CoRR Aaqib Saeed, Vasileios Tsouvalas
2023	A*	`conf`	The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image. ICLR Yuki M. Asano, Aaqib Saeed
2022	J	`jnl`	Active Learning of Non-semantic Speech Tasks with Pretrained Models. CoRR Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi
2022	J	`jnl`	Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. CoRR Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim
2022	A	`conf`	Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices. INTERSPEECH Aaqib Saeed
2022	J	`jnl`	Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices. CoRR Aaqib Saeed
2022	J	`jnl`	COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
2022	J	`jnl`	COCOA: Cross Modality Contrastive Learning for Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
2022	J	`jnl`	Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices. CoRR Harlin Lee, Aaqib Saeed
2022	J	`jnl`	Federated Learning with Noisy Labels. CoRR Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia
2022	Misc	`conf`	Federated Self-Training for Data-Efficient Audio Recognition. ICASSP Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi
2022	J	`jnl`	Federated Self-training for Semi-supervised Audio Recognition. ACM Trans. Embed. Comput. Syst. Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi
2022	J	`jnl`	On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. CoRR Zaharah Allah Bukhsh, Aaqib Saeed
2022	J	`jnl`	Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals. CoRR Harlin Lee, Aaqib Saeed
2021	J	`jnl`	Consistency Training of Multi-exit Architectures for Sensor Data. CoRR Aaqib Saeed
2021	Misc	`conf`	Contrastive Learning of General-Purpose Audio Representations. ICASSP Aaqib Saeed, David Grangier, Neil Zeghidour
2021	J	`jnl`	Damage detection using in-domain and cross-domain transfer learning. CoRR Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed
2021	J	`jnl`	Damage detection using in-domain and cross-domain transfer learning. Neural Comput. Appl. Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed
2021	J	`jnl`	Extrapolating from a Single Image to a Thousand Classes using Distillation. CoRR Yuki M. Asano, Aaqib Saeed
2021	J	`jnl`	Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence. IEEE Internet Things J. Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi, Johan Lukkien
2021	J	`jnl`	Federated Self-Training for Semi-Supervised Audio Recognition. CoRR Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi
2021	B	`conf`	Hierarchical Classification and Transfer Learning to Recognize Head Gestures and Facial Expressions Using Earbuds. ICMI Shkurta Gashi, Aaqib Saeed, Alessandra Vicini, Elena Di Lascio, Silvia Santini
2021	Misc	`conf`	Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering. ICASSP Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour
2021	J	`jnl`	LumNet: Learning to Estimate Vertical Visual Field Luminance for Adaptive Lighting Control. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Prince U. C. Songwa, Aaqib Saeed, Sachin Bhardwaj, Marijn Kruisselbrink, Tanir Ozcelebi
2021	J	`jnl`	ProcessTransformer: Predictive Business Process Monitoring with Transformer Network. CoRR Zaharah Allah Bukhsh, Aaqib Saeed, Remco M. Dijkman
2020	J	`jnl`	Contrastive Learning of General-Purpose Audio Representations. CoRR Aaqib Saeed, David Grangier, Neil Zeghidour
2020	J	`jnl`	Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence. CoRR Aaqib Saeed, Flora D. Salim, Tanir Özçelebi, Johan Lukkien
2020	J	`jnl`	Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering. CoRR Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour
2020	—	`conf`	Multi-sensor data augmentation for robust sensing. COINS Aaqib Saeed, Ye Li, Tanir Ozcelebi, Johan Lukkien
2020	J	`jnl`	Sense and Learn: Self-Supervision for Omnipresent Sensors. CoRR Aaqib Saeed, Victor Ungureanu, Beat Gfeller
2020	—	`conf`	Towards federated unsupervised representation learning. EdgeSys@EuroSys Bram van Berlo, Aaqib Saeed, Tanir Ozcelebi
2019	C	`conf`	End-to-End Multi-Modal Behavioral Context Recognition in a Real-Life Setting. FUSION Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski, Johan J. Lukkien
2019	J	`jnl`	Multi-task Self-Supervised Learning for Human Activity Detection. CoRR Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien
2019	J	`jnl`	Multi-task Self-Supervised Learning for Human Activity Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien
2018	J	`jnl`	Learning behavioral context recognition with multi-stream temporal convolutional networks. CoRR Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski, Johan Lukkien
2018	B	`conf`	Model Adaptation and Personalization for Physiological Stress Detection. DSAA Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien, Jan B. F. van Erp, Stojan Trajanovski
2018	J	`jnl`	Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition. Sensors Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien
2017	—	`conf`	Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors. ICDM Workshops Aaqib Saeed, Stojan Trajanovski, Maurice van Keulen, Jan B. F. van Erp
2017	J	`jnl`	Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals. CoRR Aaqib Saeed, Stojan Trajanovski
2016	—	`conf`	#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions. NLP+CSS@EMNLP Anna Priante, Djoerd Hiemstra, Tijs A. van den Broek, Aaqib Saeed, Michel L. Ehrenhard, Ariana Need