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Chi Ian Tang
Chi Ian Tang
Nokia Bell Labs / University of Cambridge
Verified email at cl.cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Exploring the limit of using a deep neural network on pileup data for germline variant calling
R Luo, CL Wong, YS Wong, CI Tang, CM Liu, CM Leung, TW Lam
Nature Machine Intelligence 2 (4), 220-227, 2020
1022020
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
CI Tang, I Perez-Pozuelo, D Spathis, S Brage, N Wareham, C Mascolo
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
982021
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
CI Tang, I Perez-Pozuelo, D Spathis, C Mascolo
arXiv preprint arXiv:2011.11542, 2020
862020
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Y Jain, CI Tang, C Min, F Kawsar, A Mathur
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022
632022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
E Singh Lubana, CI Tang, F Kawsar, RP Dick, A Mathur
arXiv e-prints, arXiv: 2205.11506, 2022
34*2022
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes
K Shah, D Spathis, CI Tang, C Mascolo
arXiv preprint arXiv:2111.07089, 2021
62021
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning
CI Tang, L Qendro, D Spathis, F Kawsar, C Mascolo, A Mathur
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
4*2024
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
D Ma, CI Tang, C Mascolo
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
22022
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
CI Tang, L Qendro, D Spathis, F Kawsar, A Mathur, C Mascolo
arXiv preprint arXiv:2401.02255, 2024
2024
Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors
H Haresamudram, CI Tang, S Suh, P Lukowicz, T Ploetz
Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023
2023
Group Supervised Learning: Extending Self-Supervised Learning to Multi-Device Settings
Y Jain, CI Tang, C Min, F Kawsar, A Mathur
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Articles 1–11