Mascolo, Cecilia

15 publications

ICLR 2026 Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization Hyungjun Yoon, Seungjoo Lee, Yu Wu, XiaoMeng Chen, Taiting Lu, Freddy Yifei Liu, Taeckyung Lee, Hyeongheon Cha, Haochen Zhao, Gaoteng Zhao, Dongyao Chen, Cecilia Mascolo, Sung-Ju Lee, Lili Qiu

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

NeurIPS 2025 SensorLM: Learning the Language of Wearable Sensors Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang

NeurIPSW 2024 Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed

WACV 2024 Kaizen: Practical Self-Supervised Continual Learning with Continual Fine-Tuning Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

NeurIPSW 2024 RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo

NeurIPS 2024 TinyTTA: Efficient Test-Time Adaptation via Early-Exit Ensembles on Edge Devices Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia, Cecilia Mascolo

ICML 2024 TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon, Rui Li, Stylianos Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo

NeurIPS 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking Yuwei Zhang, Tong Xia, Jing Han, Yu Yvonne Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo

IJCAI 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning Abhirup Ghosh, Cecilia Mascolo

MLHC 2023 UDAMA: Unsupervised Domain Adaptation Through Multi-Discriminator Adversarial Training with Noisy Labels Improves Cardio-Fitness Prediction Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo

NeurIPSW 2022 Hybrid-EDL: Improving Evidential Deep Learning for Uncertainty Quantification on Imbalanced Data Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo

NeurIPS 2020 Bayesian Pseudocoresets Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo, Trevor Campbell

NeurIPS 2020 Federated Principal Component Analysis Andreas Grammenos, Rodrigo Mendoza Smith, Jon Crowcroft, Cecilia Mascolo

IJCAI 2018 Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen