Chi Ian Tang

According to our database, Chi Ian Tang authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 Tailor

CoRR, 2024

Balancing Continual Learning and Fine-tuning for Human Activity Recognition.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo

CoRR, 2024

Kaizen: Practical self-supervised continual learning with continual fine-tuning.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Practical self-supervised continual learning with continual fine-tuning.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

CoRR, 2023

Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors.

Harish Haresamudram, Chi Ian Tang, Sungho Suh, Paul Lukowicz, Thomas Ploetz

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition.

Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering.

Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur

Proceedings of the International Conference on Machine Learning, 2022

Improving Feature Generalizability with Multitask Learning in Class Incremental Learning.

Dong Ma, Chi Ian Tang, Cecilia Mascolo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data.

Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes.

Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo

CoRR, 2021

2020

Exploring the limit of using a deep neural network on pileup data for germline variant calling.

Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi Ian Tang, Chi-Man Liu, Chi-Ming Leung, Tak Wah Lam

Nat. Mach. Intell., 2020

Exploring Contrastive Learning in Human Activity Recognition for Healthcare.

Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo

CoRR, 2020