Detecting Human Interaction Borders in City: The Shanghai Case. - Tong Xia; Fengli Xu; Jieli Yin; Xiang Chen 007; Yong Li 008; Qingmin Liao (UbiComp/ISWC Adjunct, 2018)

Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data. - Fengli Xu; Tong Xia; Hancheng Cao; Yong Li 008; Funing Sun; Fanchao Meng (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

DeepMM: Deep Learning Based Map Matching with Data Augmentation. - Kai Zhao; Jie Feng 002; Zhao Xu 006; Tong Xia; Lin Chen 002; Funing Sun; Diansheng Guo; Depeng Jin; Yong Li 008 (SIGSPATIAL/GIS, 2019)

Safe velocity: a practical guide to software deployment at scale using controlled rollout. - Tong Xia; Sumit Bhardwaj; Pavel A. Dmitriev; Aleksander Fabijan (ICSE (SEIP), 2019)

Understanding Urban Dynamics via State-sharing Hidden Markov Model. - Tong Xia; Yue Yu; Fengli Xu; Funing Sun; Diansheng Guo; Depeng Jin; Yong Li 008 (WWW, 2019)

UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data. - Sirui Song; Tong Xia; Depeng Jin; Pan Hui 001; Yong Li 008 (CoRR, 2019)

Revealing Urban Dynamics by Learning Online and Offline Behaviours Together. - Tong Xia; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. - Jie Feng 002; Ziqian Lin; Tong Xia; Funing Sun; Diansheng Guo; Yong Li 008 (IJCAI, 2020)

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. - Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (KDD, 2020)

SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference. - Fengli Xu; Zongyu Lin; Tong Xia; Diansheng Guo; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network. - Yue Yu; Tong Xia; Huandong Wang; Jie Feng 002; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Mobile App Usage Patterns Aware Smart Data Pricing. - Jieli Yin; Yali Fan; Tong Xia; Yong Li 008; Xiang Chen 007; Zhi Zhou 006; Xu Chen 004 (IEEE J. Sel. Areas Commun., 2020)

DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. - Tong Xia; Yong Li 008; Jie Feng 002; Depeng Jin; Qing Zhang; Hengliang Luo; Qingmin Liao (ACM Trans. Intell. Syst. Technol., 2020)

AttnMove: History Enhanced Trajectory Recovery via Attentional Network. - Tong Xia; Yunhan Qi; Jie Feng 002; Fengli Xu; Funing Sun; Diansheng Guo; Yong Li 008 (AAAI, 2021)

Mobility-based Individual POI Recommendation to Control the COVID-19 Spread. - Abhirup Ghosh; Tong Xia (IEEE BigData, 2021)

One-shot Transfer Learning for Population Mapping. - Erzhuo Shao; Jie Feng 002; Yingheng Wang; Tong Xia; Yong Li 008 (CIKM, 2021)

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. - Jing Han 010; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (ICASSP, 2021)

Semi-supervised Semantic Segmentation of Cataract Surgical Images based on DeepLab v3+. - Hongyu Chen; Xiao Ma 026; Tong Xia; Fucang Jia (ICCDA, 2021)

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Björn W. Schuller; Anton Batliner; Christian Bergler; Cecilia Mascolo; Jing Han 010; Iulia Lefter; Heysem Kaya; Shahin Amiriparian; Alice Baird; Lukas Stappen; Sandra Ottl; Maurice Gerczuk; et al. (Interspeech, 2021)

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. - Tong Xia; Jing Han 010; Lorena Qendro; Ting Dang; Cecilia Mascolo (Interspeech, 2021)

Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency. - Wenjing Jiang; Tong Xia; Zhiqiong Wang; Fucang Jia (DGM4MICCAI/DALI@MICCAI, 2021)

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. - Tong Xia; Dimitris Spathis; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Erika Bondareva; Ting Dang; Andres Floto; Pietro Cicuta; Cecilia Mascolo (NeurIPS Datasets and Benchmarks, 2021)

Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition. - Tong Xia; Fucang Jia (Int. J. Comput. Assist. Radiol. Surg., 2021)

Reinforced Contact Tracing and Epidemic Intervention. - Tao Feng; Sirui Song; Tong Xia; Yong Li 008 (CoRR, 2021)

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey. - Zefang Zong; Tao Feng; Tong Xia; Depeng Jin; Yong Li 008 (CoRR, 2021)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; et al. (CoRR, 2021)

Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. - Tong Xia; Jing Han 010; Cecilia Mascolo (CoRR, 2021)

Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space. - Yunke Zhang; Fengli Xu; Tong Xia; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. - Tong Xia; Junjie Lin; Yong Li 008; Jie Feng 002; Pan Hui 001; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2021)

Understanding Urban Dynamics via State-Sharing Hidden Markov Model. - Tong Xia; Yong Li 008; Yue Yu; Fengli Xu; Qingmin Liao; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

Portfolio Optimization in Traffic Offloading: Concept, Model, and Algorithms. - Dianlei Xu; Yong Li 008; Tong Xia; Jianbo Li; Pan Hui 001 (IEEE Trans. Mob. Comput., 2021)

Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. - Erika Bondareva; Tong Xia; Jing Han 010; Cecilia Mascolo (CinC, 2022)

Reviving the economy while saving lives: a deep reinforcement learning approach for smart POI reopening. - Tao Feng; Huandong Wang; Xiaochen Fan; Tong Xia; Yong Li 008 (SIGSPATIAL/GIS, 2022)

Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. - Tao Feng; Tong Xia; Xiaochen Fan; Huandong Wang; Zefang Zong; Yong Li 008 (KDD, 2022)

Smartphone App Usage Analysis: Datasets, Methods, and Applications. - Tong Li 013; Tong Xia; Huandong Wang; Zhen Tu; Sasu Tarkoma; Zhu Han 001; Pan Hui 001 (IEEE Commun. Surv. Tutorials, 2022)

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. - Ting Dang; Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (CoRR, 2022)

Sounds of COVID-19: exploring realistic performance of audio-based digital testing. - Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Ting Dang; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (npj Digit. Medicine, 2022)

DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. - Erzhuo Shao; Huandong Wang; Jie Feng 002; Tong Xia; Hedong Yang; Lu Geng; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2022)

DeepMM: Deep Learning Based Map Matching With Data Augmentation. - Jie Feng 002; Yong Li 008; Kai Zhao; Zhao Xu 006; Tong Xia; Jinglin Zhang; Depeng Jin (IEEE Trans. Mob. Comput., 2022)

To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage. - Tong Li 013; Yong Li 008; Mohammad Ashraful Hoque; Tong Xia; Sasu Tarkoma; Pan Hui 001 (IEEE Trans. Mob. Comput., 2022)

Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery. - Zhenyu Han; Yanxin Xi; Tong Xia; Yu Liu 016; Yong Li 008 (SIGSPATIAL/GIS, 2023)

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Tong Xia; Niels van Berkel (UbiComp/ISWC Adjunct, 2023)

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. - Tong Xia; Jing Han 010; Abhirup Ghosh; Cecilia Mascolo (ICASSP, 2023)

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. - Ting Dang; Jing Han 010; Tong Xia; Erika Bondareva; Chloë Siegele-Brown; Jagmohan Chauhan; Andreas Grammenos; Dimitris Spathis; Pietro Cicuta; Cecilia Mascolo (KDD, 2023)

FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation. - Tong Xia; Abhirup Ghosh; Cecilia Mascolo (CoRR, 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding. - Yali Fan; Zhen Tu; Tong Li 013; Hancheng Cao; Tong Xia; Yong Li 008; Xiang Chen 007; Lin Zhang 023 (IEEE Trans. Knowl. Data Eng., 2023)

Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning. - Tao Feng; Sirui Song; Tong Xia; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; et al. (Medical Image Anal., 2023)

MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition. - Yuchong Li; Tong Xia; Huoling Luo; Baochun He; Fucang Jia (IEEE J. Biomed. Health Informatics, 2023)

GUI: A Comprehensive Dataset of Global Urban Infrastructure Based on Geospatial Visual Foundation Models. - Zhenyu Han; Xin Zhang 106; Yanxin Xi; Yan Luo; Tong Xia; Yong Li 008 (SIGSPATIAL/GIS, 2024)

FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation. - Tong Xia; Abhirup Ghosh; Xinchi Qiu; Cecilia Mascolo (KDD, 2024)

Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications. - Yuwei Zhang; Tong Xia; Abhirup Ghosh; Cecilia Mascolo (ML4H@NeurIPS, 2024)

RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. - Yuwei Zhang; Tong Xia; Aaqib Saeed; Cecilia Mascolo (ML4H@NeurIPS, 2024)

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. - Yuwei Zhang; Tong Xia; Jing Han 010; Yu Wu 021; Georgios Rizos; Yang Liu 101; Mohammed Mosuily; Jagmohan Chauhan; Cecilia Mascolo (NeurIPS, 2024)

Nonstationary Prestack Linear Bayesian Stochastic Inversion. - Bangbang Gao; Hui Zhou 002; Lingqian Wang; Yamei Cao; Bo Yu 015; Tong Xia; Zhefeng Wei; Hongliang Zhang 005; Wenbo Sun (IEEE Trans. Geosci. Remote. Sens., 2024)

Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window. - Zefang Zong; Tong Xia; Meng Zheng 003; Yong Li 008 (ACM Trans. Intell. Syst. Technol., 2024)

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. - Tong Xia; Yong Li 008; Yunhan Qi; Jie Feng 002; Fengli Xu; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 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. - Tong Xia; Xuancheng Ren; Yuntian Liu; Niutao Liu; Feng Xu 001; Ya-Qiu Jin (Remote. Sens., 2024)

Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. - Tong Xia; Ting Dang; Jing Han 010; Lorena Qendro; Cecilia Mascolo (IEEE J. Biomed. Health Informatics, 2024)

Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. - Jialu Tang; Tong Xia; Yuan Lu; Cecilia Mascolo; Aaqib Saeed (CHIL, 2025)

Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. - Jialu Tang; Tong Xia; Yuan Lu; Cecilia Mascolo; Aaqib Saeed (ICASSP, 2025)

A 3D Reconstruction Method Based on Dual-Frequency Stripes and Lookup Tables. - Jingwen Liu; Juan Zhao; Seiichi Kawata; Jinhua She; Tong Xia (ICIT, 2025)

Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey. - Zefang Zong; Tao Feng; Jingwei Wang 002; Tong Xia; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2025)

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis. - Yu Liu; Weiyao Tao; Tong Xia; Simon Knight 005; Tingting Zhu 001 (CoRR, 2025)