Tong Xia

Tong Xia

A computer science PhD student.

Selected Publications

Uncertainty

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data [PDF] [CODE]

C. Brown*, J. Chauhan*, A. Grammenos*, J. Han*, A. Hasthanasombat*, D. Spathis*, T. Xia*, P. Cicuta, and C. Mascolo. .
KDD, 2021; “Better Future Award” in Hall of Fame Awards 2021, Cambridge

Uncertainty

Sounds of COVID-19: Exploring Realistic Performance of Audio-based Digital Testing [PDF] [CODE]

J. Han*, T. Xia*, D. Spathis, C. Mascolo, et al.
npj Digital Medicine (IF=15.357), 2022

Uncertainty

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening [PDF] [CODE]

T. Xia*, D. Spathis*, C. Brown, J. Chauhan, A. Grammenos, J. Han, C. Mascolo, et al.
NeurIPS Datasets and Benchmarks Track, 2021

Uncertainty

Uncertainty-aware COVID-19 Detection from Imbalanced Sound Data [PDF]

T. Xia, J. Han, L. Qendro, T. Dang, and C. Mascolo.
INTERSPEECH, 2021

Uncertainty

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection [PDF]

T. Xia, J. Han, A Ghosh and C. Mascolo.
ICASSP, 2023

Uncertainty

Exploring Machine Learning for Audio-based Respiratory Condition Screening: A Concise Review of Databases, Methods, and Open Issues [PDF]

T. Xia, J. Han, and C. Mascolo
Journal of Experimental Biology and Medicine (IF=4.088), 2022

Uncertainty

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network [PDF] [CODE]

T. Xia, Y. Qi, J. Feng, F. Xu, F. Sun, D. Guo, and Y. Li.
ACM TKDD (IF=4.157), 2023

Uncertainty

Attnmove: History Enhanced Trajectory Recovery via Attentional Network [PDF] [CODE]

T. Xia, Y. Qi, J. Feng, F. Xu, F. Sun, D. Guo, and Y. Li.
AAAI, 2021

Uncertainty

Understanding Urban Dynamics via State-sharing Hidden Markov Model [PDF]

T. Xia, Y. Yue, Y. Li, et al.
IEEE TKDE (IF=9.235), 2021

Uncertainty

3DGCN: 3-dimensional dynamic graph convolutional network for citywide crowd flow prediction [PDF]

T. Xia, J. Lin, Y. Li, J. Feng, P. Hui, F. Sun, D. Guo, and D. Jin
ACM TKDD (IF=4.157), 2022

Uncertainty

DeepApp: predicting personalized smartphone app usage via context-aware multi-task learning [PDF]

T. Xia, Y. Li, J. Feng, D. Jin, Q. Zhang, H. Luo, and Q. Liao
ACM TIST (IF=10.489), 2020

Uncertainty

Revealing Urban Dynamics by Learning Online and Offline Behaviours Together [PDF]

T. Xia, Y. Li
ACM UbiComp, 2019

Uncertainty

Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning [PDF]

T. Feng, T. Xia, H. Wang, X. Fan, and Y. Li.
KDD, 2022