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ORCIDTong Xia
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2020 – today
- 2024
[j27]Tong Xia
, Xuancheng Ren, Yuntian Liu, Niutao Liu, Feng Xu, Ya-Qiu Jin:
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. 16(11): 1834 (2024)- [j26]Bangbang Gao, Hui Zhou, Lingqian Wang, Yamei Cao, Bo Yu, Tong Xia, Zhefeng Wei, Hongliang Zhang, Wenbo Sun:
Nonstationary Prestack Linear Bayesian Stochastic Inversion. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j25]Zefang Zong, Tong Xia, Meng Zheng, Yong Li:
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window. ACM Trans. Intell. Syst. Technol. 15(2): 32:1-32:19 (2024) - [j24]Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE J. Biomed. Health Informatics 28(11): 6417-6428 (2024) - [j23]Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin:
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Trans. Knowl. Discov. Data 18(3): 53:1-53:22 (2024) - [c24]Zhenyu Han, Xin Zhang, Yanxin Xi, Yan Luo, Tong Xia, Yong Li:
GUI: A Comprehensive Dataset of Global Urban Infrastructure Based on Geospatial Visual Foundation Models. SIGSPATIAL/GIS 2024: 701-704 - [c23]Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo:
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation. KDD 2024: 3484-3494 - [i23]Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo:
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. CoRR abs/2406.16148 (2024) - [i22]Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed:
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. CoRR abs/2409.08788 (2024) - [i21]Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo:
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. CoRR abs/2410.05361 (2024) - [i20]Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed:
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. CoRR abs/2410.14464 (2024) - 2023
- [j22]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 5 (2023) - [j21]Martin Wagner, 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, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - [j20]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j19]Yuchong Li, Tong Xia, Huoling Luo, Baochun He, Fucang Jia:
MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition. IEEE J. Biomed. Health Informatics 27(10): 4983-4994 (2023) - [j18]Tao Feng, Sirui Song, Tong Xia, Yong Li:
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning. ACM Trans. Knowl. Discov. Data 17(3): 34:1-34:24 (2023) - [j17]Yali Fan, Zhen Tu, Tong Li, Hancheng Cao, Tong Xia, Yong Li, Xiang Chen, Lin Zhang:
Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(3): 3180-3194 (2023) - [c22]Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li:
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery. SIGSPATIAL/GIS 2023: 53:1-53:4 - [c21]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel:
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. UbiComp/ISWC Adjunct 2023: 777-783 - [c20]Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo:
Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. ICASSP 2023: 1-5 - [c19]Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD 2023: 3914-3925 - [i19]Tong Xia, Jing Han, Abhirup Ghosh, Cecilia Mascolo:
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. CoRR abs/2303.07067 (2023) - [i18]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel:
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. CoRR abs/2309.12877 (2023) - [i17]Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li:
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery. CoRR abs/2311.09240 (2023) - [i16]Tong Xia, Abhirup Ghosh, Cecilia Mascolo:
FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation. CoRR abs/2312.02327 (2023) - 2022
- [j16]Tong Li, Tong Xia, Huandong Wang, Zhen Tu, Sasu Tarkoma, Zhu Han, Pan Hui:
Smartphone App Usage Analysis: Datasets, Methods, and Applications. IEEE Commun. Surv. Tutorials 24(2): 937-966 (2022) - [j15]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022) - [j14]Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5693-5707 (2022) - [j13]Tong Li, Yong Li, Mohammad Ashraful Hoque, Tong Xia, Sasu Tarkoma, Pan Hui:
To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage. IEEE Trans. Mob. Comput. 21(4): 1492-1507 (2022) - [j12]Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin:
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21(7): 2372-2384 (2022) - [c18]Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo:
Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. CinC 2022: 1-4 - [c17]Tao Feng, Huandong Wang, Xiaochen Fan, Tong Xia, Yong Li:
Reviving the economy while saving lives: a deep reinforcement learning approach for smart POI reopening. SIGSPATIAL/GIS 2022: 58:1-58:12 - [c16]Tao Feng, Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li:
Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. KDD 2022: 2882-2892 - [i15]Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR abs/2201.01232 (2022) - [i14]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A Summary of the ComParE COVID-19 Challenges. CoRR abs/2202.08981 (2022) - [i13]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - 2021
- [j11]Tong Xia, Fucang Jia:
Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition. Int. J. Comput. Assist. Radiol. Surg. 16(5): 839-848 (2021) - [j10]Yunke Zhang, Fengli Xu, Tong Xia, Yong Li:
Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 193:1-193:30 (2021) - [j9]Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin:
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15(6): 110:1-110:21 (2021) - [j8]Tong Xia, Yong Li, Yue Yu, Fengli Xu, Qingmin Liao, Depeng Jin:
Understanding Urban Dynamics via State-Sharing Hidden Markov Model. IEEE Trans. Knowl. Data Eng. 33(10): 3468-3481 (2021) - [j7]Dianlei Xu, Yong Li, Tong Xia, Jianbo Li, Pan Hui:
Portfolio Optimization in Traffic Offloading: Concept, Model, and Algorithms. IEEE Trans. Mob. Comput. 20(2): 691-706 (2021) - [c15]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. AAAI 2021: 4494-4502 - [c14]Abhirup Ghosh, Tong Xia:
Mobility-based Individual POI Recommendation to Control the COVID-19 Spread. IEEE BigData 2021: 4356-4364 - [c13]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CIKM 2021: 1588-1597 - [c12]Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP 2021: 8328-8332 - [c11]Hongyu Chen, Xiao Ma, Tong Xia, Fucang Jia:
Semi-supervised Semantic Segmentation of Cataract Surgical Images based on DeepLab v3+. ICCDA 2021: 112-118 - [c10]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech 2021: 431-435 - [c9]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech 2021: 2951-2955 - [c8]Wenjing Jiang, Tong Xia, Zhiqiong Wang, Fucang Jia:
Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency. DGM4MICCAI/DALI@MICCAI 2021: 154-162 - [c7]Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks 2021 - [i12]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. CoRR abs/2101.00646 (2021) - [i11]Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. CoRR abs/2102.05225 (2021) - [i10]Tao Feng, Sirui Song, Tong Xia, Yong Li:
Reinforced Contact Tracing and Epidemic Intervention. CoRR abs/2102.08251 (2021) - [i9]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR abs/2102.13468 (2021) - [i8]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR abs/2104.02005 (2021) - [i7]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR abs/2106.15523 (2021) - [i6]Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li:
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey. CoRR abs/2108.04462 (2021) - [i5]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CoRR abs/2108.06228 (2021) - [i4]Martin Wagner, 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, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR abs/2109.14956 (2021) - [i3]Tong Xia, Jing Han, Cecilia Mascolo:
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. CoRR abs/2112.09196 (2021) - 2020
- [j6]Fengli Xu, Zongyu Lin, Tong Xia, Diansheng Guo, Yong Li:
SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 98:1-98:25 (2020) - [j5]Yue Yu, Tong Xia, Huandong Wang, Jie Feng, Yong Li:
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 101:1-101:24 (2020) - [j4]Jieli Yin, Yali Fan, Tong Xia, Yong Li, Xiang Chen, Zhi Zhou, Xu Chen:
Mobile App Usage Patterns Aware Smart Data Pricing. IEEE J. Sel. Areas Commun. 38(4): 645-654 (2020) - [j3]Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao:
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. ACM Trans. Intell. Syst. Technol. 11(6): 64:1-64:12 (2020) - [c6]Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li:
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. IJCAI 2020: 1331-1337 - [c5]Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. KDD 2020: 3474-3484 - [i2]Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. CoRR abs/2006.05919 (2020)
2010 – 2019
- 2019
- [j2]Tong Xia, Yong Li:
Revealing Urban Dynamics by Learning Online and Offline Behaviours Together. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 30:1-30:25 (2019) - [c4]Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li:
DeepMM: Deep Learning Based Map Matching with Data Augmentation. SIGSPATIAL/GIS 2019: 452-455 - [c3]Tong Xia, Sumit Bhardwaj, Pavel A. Dmitriev, Aleksander Fabijan:
Safe velocity: a practical guide to software deployment at scale using controlled rollout. ICSE (SEIP) 2019: 11-20 - [c2]Tong Xia, Yue Yu, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li:
Understanding Urban Dynamics via State-sharing Hidden Markov Model. WWW 2019: 3363-3369 - [i1]Sirui Song, Tong Xia, Depeng Jin, Pan Hui, Yong Li:
UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data. CoRR abs/1911.05493 (2019) - 2018
- [j1]Fengli Xu, Tong Xia, Hancheng Cao, Yong Li, Funing Sun, Fanchao Meng:
Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 46:1-46:25 (2018) - [c1]Tong Xia, Fengli Xu, Jieli Yin, Xiang Chen, Yong Li, Qingmin Liao:
Detecting Human Interaction Borders in City: The Shanghai Case. UbiComp/ISWC Adjunct 2018: 295-298
Coauthor Index
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