Tong Xia

Orcid: 0000-0002-6994-6318

According to our database1, Tong Xia authored at least 53 papers between 2018 and 2024.

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Bibliography

2024
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.
ACM Trans. Knowl. Discov. Data, April, 2024

Nonstationary Prestack Linear Bayesian Stochastic Inversion.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition.
IEEE J. Biomed. Health Informatics, October, 2023

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning.
ACM Trans. Knowl. Discov. Data, April, 2023

Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding.
IEEE Trans. Knowl. Data Eng., March, 2023

A summary of the ComParE COVID-19 challenges.
Frontiers Digit. Health, March, 2023

FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation.
CoRR, 2023

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing.
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

Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage.
IEEE Trans. Mob. Comput., 2022

DeepMM: Deep Learning Based Map Matching With Data Augmentation.
IEEE Trans. Mob. Comput., 2022

DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022

Sounds of COVID-19: exploring realistic performance of audio-based digital testing.
npj Digit. Medicine, 2022

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study.
CoRR, 2022

Smartphone App Usage Analysis: Datasets, Methods, and Applications.
IEEE Commun. Surv. Tutorials, 2022

Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Reviving the economy while saving lives: a deep reinforcement learning approach for smart POI reopening.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning.
Proceedings of the Computing in Cardiology, 2022

2021
Portfolio Optimization in Traffic Offloading: Concept, Model, and Algorithms.
IEEE Trans. Mob. Comput., 2021

Understanding Urban Dynamics via State-Sharing Hidden Markov Model.
IEEE Trans. Knowl. Data Eng., 2021

3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction.
ACM Trans. Knowl. Discov. Data, 2021

Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift.
CoRR, 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey.
CoRR, 2021

Reinforced Contact Tracing and Epidemic Intervention.
CoRR, 2021

Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.
Int. J. Comput. Assist. Radiol. Surg., 2021

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Semi-supervised Semantic Segmentation of Cataract Surgical Images based on DeepLab v3+.
Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

One-shot Transfer Learning for Population Mapping.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Mobility-based Individual POI Recommendation to Control the COVID-19 Spread.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

AttnMove: History Enhanced Trajectory Recovery via Attentional Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.
ACM Trans. Intell. Syst. Technol., 2020

Mobile App Usage Patterns Aware Smart Data Pricing.
IEEE J. Sel. Areas Commun., 2020

Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Revealing Urban Dynamics by Learning Online and Offline Behaviours Together.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data.
CoRR, 2019

Understanding Urban Dynamics via State-sharing Hidden Markov Model.
Proceedings of the World Wide Web Conference, 2019

Safe velocity: a practical guide to software deployment at scale using controlled rollout.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

DeepMM: Deep Learning Based Map Matching with Data Augmentation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Detecting Human Interaction Borders in City: The Shanghai Case.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018


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