Tong Xia
Orcid: 0000-0002-6994-6318
According to our database1,
Tong Xia
authored at least 62 papers
between 2018 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, November, 2024
Detection of Surface Rocks and Small Craters in Permanently Shadowed Regions of the Lunar South Pole Based on YOLOv7 and Markov Random Field Algorithms in SAR Images.
Remote. Sens., June, 2024
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.
ACM Trans. Knowl. Discov. Data, April, 2024
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window.
ACM Trans. Intell. Syst. Technol., April, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
CoRR, 2024
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction.
CoRR, 2024
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling.
CoRR, 2024
CoRR, 2024
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
GUI: A Comprehensive Dataset of Global Urban Infrastructure Based on Geospatial Visual Foundation Models.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 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
Medical Image Anal., May, 2023
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
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
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
IEEE Trans. Mob. Comput., 2022
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022
npj Digit. Medicine, 2022
CoRR, 2022
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
Proceedings of the Computing in Cardiology, 2022
2021
IEEE Trans. Mob. Comput., 2021
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
Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.
Int. J. Comput. Assist. Radiol. Surg., 2021
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
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
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
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
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
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
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
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018