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Journal Articles
- 2022
[j3]Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 17:1-17:28 (2022)- 2021
- [j2]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis
, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 36:1-36:30 (2021) - 2020
- [j1]Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi Ian Tang, Chi-Man Liu, Chi-Ming Leung, Tak Wah Lam:
Exploring the limit of using a deep neural network on pileup data for germline variant calling. Nat. Mach. Intell. 2(4): 220-227 (2020)
Conference and Workshop Papers
- 2024
- [c4]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV 2024: 2829-2838 - 2023
- [c3]Harish Haresamudram, Chi Ian Tang, Sungho Suh, Paul Lukowicz, Thomas Ploetz:
Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors. UbiComp/ISWC Adjunct 2023: 759-761 - 2022
- [c2]Dong Ma, Chi Ian Tang, Cecilia Mascolo:
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning. ICASSP 2022: 4173-4177 - [c1]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. ICML 2022: 14461-14484
Informal and Other Publications
- 2024
- [i9]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo:
Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR abs/2401.02255 (2024) - [i8]Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024) - 2023
- [i7]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Practical self-supervised continual learning with continual fine-tuning. CoRR abs/2303.17235 (2023) - 2022
- [i6]Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. CoRR abs/2202.00758 (2022) - [i5]Dong Ma, Chi Ian Tang, Cecilia Mascolo:
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning. CoRR abs/2204.12915 (2022) - [i4]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. CoRR abs/2205.11506 (2022) - 2021
- [i3]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. CoRR abs/2102.06073 (2021) - [i2]Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo:
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes. CoRR abs/2111.07089 (2021) - 2020
- [i1]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo:
Exploring Contrastive Learning in Human Activity Recognition for Healthcare. CoRR abs/2011.11542 (2020)
Coauthor Index
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