2024
Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning.
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
Nonstationary Prestack Linear Bayesian Stochastic Inversion.
IEEE Trans. Geosci. Remote. Sens., 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning.
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
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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.
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Medical Image Anal., May, 2023
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
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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.
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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.
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npj Digit. Medicine, 2022
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study.
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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.
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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.
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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 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.
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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
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