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Yi-Ke Guo
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- affiliation: Imperial College London, UK
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2020 – today
- 2023
[j114]Xing Wu
, Bin Tang, Ming Zhao, Jianjia Wang, Yike Guo:
STR Transformer: A Cross-domain Transformer for Scene Text Recognition. Appl. Intell. 53(3): 3444-3458 (2023)- [j113]Ryan Ong, Jiahao Sun, Ovidiu Serban, Yi-Ke Guo:
TKGQA Dataset: Using Question Answering to Guide and Validate the Evolution of Temporal Knowledge Graph. Data 8(3): 61 (2023) - [j112]Wenpeng Xing, Jie Chen, Yike Guo:
Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion. Int. J. Autom. Comput. 20(3): 408-420 (2023) - [j111]Shengwei Gu, Xiangfeng Luo, Xinzhi Wang, Yike Guo:
Accelerating Multi-Exit BERT Inference via Curriculum Learning and Knowledge Distillation. Int. J. Softw. Eng. Knowl. Eng. 33(3): 395-413 (2023) - [j110]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. 94(1): 11 (2023) - [j109]Yue Liu, Zitu Liu, Shuang Li, Yike Guo, Qun Liu, Guoyin Wang:
Cloud-Cluster: An uncertainty clustering algorithm based on cloud model. Knowl. Based Syst. 263: 110261 (2023) - [j108]Weihang Zhang, Ovidiu Serban, Jiahao Sun, Yike Guo:
IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning. Mach. Learn. Knowl. Extr. 5(1): 43-58 (2023) - [j107]Yue Liu, Zitu Liu, Shuang Li, Zhenyao Yu, Yike Guo, Qun Liu, Guoyin Wang:
Cloud-VAE: Variational autoencoder with concepts embedded. Pattern Recognit. 140: 109530 (2023) - [i70]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i69]Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci:
Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR abs/2305.00261 (2023) - [i68]Wei Xue, Yiwen Wang, Qifeng Liu, Yike Guo:
Learn to Sing by Listening: Building Controllable Virtual Singer by Unsupervised Learning from Voice Recordings. CoRR abs/2305.05401 (2023) - [i67]Zhen Ye, Wei Xue, Xu Tan, Jie Chen, Qifeng Liu, Yike Guo:
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model. CoRR abs/2305.06908 (2023) - [i66]Chenhong Zhou, Xiaorui Zhang, Meng Gao, Shanshan Liu, Yike Guo, Jie Chen:
Long-lead forecasts of wintertime air stagnation index in southern China using oceanic memory effects. CoRR abs/2305.11901 (2023) - [i65]Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo:
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation. CoRR abs/2305.12868 (2023) - [i64]Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu:
Interactive Natural Language Processing. CoRR abs/2305.13246 (2023) - 2022
- [b1]Jun Gu, Yike Guo:
Human and Machines - Philosophical Thinking of Artificial Intelligence. Springer 2022, ISBN 978-981-19-6304-9, pp. 1-227 - [j106]Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian, Yike Guo:
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition. Algorithms 15(5): 160 (2022) - [j105]Xing Wu, Yafei Zhang, Qing Li, Yangyang Qi, Jianjia Wang, Yike Guo:
Face aging with pixel-level alignment GAN. Appl. Intell. 52(13): 14665-14678 (2022) - [j104]Xing Wu, Sihui Ji, Jianjia Wang, Yike Guo:
Speech synthesis with face embeddings. Appl. Intell. 52(13): 14839-14852 (2022) - [j103]Fanrong Meng, Junjie Zhou, Dengkui Kong, Min Yao, KongYi Wu, Xuchun Liu, Xuefei Wang, Yike Guo:
The Design and Implementation of Geospatial Information Verification Middle Platform for Natural Resources Government Affairs. ISPRS Int. J. Geo Inf. 11(10): 496 (2022) - [j102]César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing 470: 11-28 (2022) - [j101]Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo:
FTAP: Feature transferring autonomous machine learning pipeline. Inf. Sci. 593: 385-397 (2022) - [j100]Zhi Li, Xing Wu, Jianjia Wang, Yike Guo:
Weather-degraded image semantic segmentation with multi-task knowledge distillation. Image Vis. Comput. 127: 104554 (2022) - [j99]Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci:
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. 464: 111302 (2022) - [j98]Xing Wu, Yisong Li, Jianjia Wang, Quan Qian, Yike Guo:
UBAR: User Behavior-Aware Recommendation with knowledge graph. Knowl. Based Syst. 254: 109661 (2022) - [j97]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive annotation of brain MR images with gradient-guided sampling. Medical Image Anal. 77: 102373 (2022) - [j96]Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo:
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. PLoS Comput. Biol. 18(2) (2022) - [j95]Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci:
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. 14(13): 3228 (2022) - [j94]Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang, Yike Guo:
Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering. IEEE Trans. Image Process. 31: 6109-6123 (2022) - [c150]Xiaoyu Zhang, Yike Guo:
OmiTrans: Generative Adversarial Networks Based Omics-to-omics Translation Framework. BIBM 2022: 653-659 - [c149]Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo:
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring. BIBM 2022: 860-863 - [c148]Qing Yin, Zhihua Wang, Yunya Song, Richard Yida Xu, Shuai Niu, Liang Bai, Yike Guo, Xian Yang:
Improving Deep Embedded Clustering via Learning Cluster-level Representations. COLING 2022: 2226-2236 - [c147]Xing Wu, Jingwen Li, Quan Qian, Yue Liu, Yike Guo:
Causal Reasoning Methods in Medical Domain: A Review. IEA/AIE 2022: 184-196 - [c146]Ho Yin Au, Jie Chen, Junkun Jiang, Yike Guo:
ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style and Tempo Consistent Dynamic Graph. ACM Multimedia 2022: 3917-3925 - [c145]Junkun Jiang, Jie Chen, Yike Guo:
A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion. ACM Multimedia 2022: 5123-5131 - [c144]Xing Wu, Yuan Zhang, Jianjia Wang, Yike Guo:
TRCA: Text Restoration for Chinese ASR with BERT. SoMeT 2022: 661-668 - [e7]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13534, Springer 2022, ISBN 978-3-031-18906-7 [contents] - [e6]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13535, Springer 2022, ISBN 978-3-031-18909-8 [contents] - [e5]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13536, Springer 2022, ISBN 978-3-031-18912-8 [contents] - [e4]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13537, Springer 2022, ISBN 978-3-031-18915-9 [contents] - [i63]Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang:
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. CoRR abs/2201.06779 (2022) - [i62]Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang:
Label-dependent and event-guided interpretable disease risk prediction using EHRs. CoRR abs/2201.06783 (2022) - [i61]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR abs/2204.03497 (2022) - [i60]Mihai Suteu, Yike Guo:
Receding Neuron Importances for Structured Pruning. CoRR abs/2204.06404 (2022) - [i59]Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo:
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge. CoRR abs/2204.10202 (2022) - [i58]Jingqing Zhang, Atri Sharma, Luis Bolanos, Tong Li, Ashwani Tanwar, Vibhor Gupta, Yike Guo:
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases. CoRR abs/2205.08891 (2022) - [i57]Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Narges Tabari, Bingyuan Chen, Vibhor Gupta, Yike Guo:
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint. CoRR abs/2205.12368 (2022) - [i56]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling. CoRR abs/2206.01014 (2022) - [i55]Junkun Jiang, Jie Chen, Yike Guo:
A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion. CoRR abs/2207.07381 (2022) - [i54]Ho Yin Au, Jie Chen, Junkun Jiang, Yike Guo:
ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style and Tempo Consistent Dynamic Graph. CoRR abs/2207.07386 (2022) - [i53]Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Henrik J. Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu:
Pathway to Future Symbiotic Creativity. CoRR abs/2209.02388 (2022) - 2021
- [j93]Xing Wu, Jianjia Wang, Peng Wang, Zhaoxiang Bian, Tao Huang, Yike Guo, Hamido Fujita:
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy. Appl. Soft Comput. 106: 107342 (2021) - [j92]Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo:
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data. Briefings Bioinform. 22(6) (2021) - [j91]Deyi Li, Wen He, Yike Guo:
Why AI still doesn't have consciousness? CAAI Trans. Intell. Technol. 6(2): 175-179 (2021) - [j90]Nguyen Binh Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo:
Privacy preservation in federated learning: An insightful survey from the GDPR perspective. Comput. Secur. 110: 102402 (2021) - [j89]Nguyen Binh Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo:
A blockchain-based trust system for decentralised applications: When trustless needs trust. Future Gener. Comput. Syst. 124: 68-79 (2021) - [j88]Pin Wu, Xuting Chang, Wenyan Yuan, Junwu Sun, Wenjie Zhang, Rossella Arcucci, Yike Guo:
Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state. J. Comput. Sci. 51: 101323 (2021) - [c143]Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang:
Label-dependent and event-guided interpretable disease risk prediction using EHRs. BIBM 2021: 1473-1476 - [c142]Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo:
HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. CICAI 2021: 747-758 - [c141]Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. DASFAA (Workshops) 2021: 381-397 - [c140]Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo:
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. EMNLP (1) 2021: 8754-8769 - [c139]Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain:
Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops 2021: 255-266 - [c138]Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) 2021: 373-386 - [c137]Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang:
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. ICDM 2021: 449-458 - [c136]Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai:
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. MICCAI (3) 2021: 14-24 - [i52]César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo:
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR abs/2101.01568 (2021) - [i51]Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo:
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR abs/2101.02121 (2021) - [i50]Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. CoRR abs/2101.09653 (2021) - [i49]Nguyen Binh Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo:
A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust. CoRR abs/2101.10920 (2021) - [i48]César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR abs/2102.02664 (2021) - [i47]Xiaoyu Zhang, Kai Sun, Yike Guo:
OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning. CoRR abs/2102.02669 (2021) - [i46]Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR abs/2103.00485 (2021) - [i45]Pan Wang, Zhifeng Gong, Shuo Wang, Hao Dong, Jialu Fan, Ling Li, Peter R. N. Childs, Yike Guo:
Product semantics translation from brain activity via adversarial learning. CoRR abs/2103.15602 (2021) - [i44]Axel Oehmichen, Florian Guitton, Cedric Wahl, Bertrand Foing, Damian Tziamtzis, Yike Guo:
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19. CoRR abs/2103.17096 (2021) - [i43]César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain:
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR abs/2104.06297 (2021) - [i42]Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo:
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data. CoRR abs/2105.12807 (2021) - [i41]Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy:
Correcting public opinion trends through Bayesian data assimilation. CoRR abs/2105.14276 (2021) - [i40]Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai:
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. CoRR abs/2107.03887 (2021) - [i39]Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo:
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases. CoRR abs/2107.11665 (2021) - [i38]Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo:
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. CoRR abs/2109.01935 (2021) - [i37]Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo:
A Scalable Inference Method For Large Dynamic Economic Systems. CoRR abs/2110.14346 (2021) - [i36]Xiaoyu Zhang, Yike Guo:
OmiTrans: generative adversarial networks based omics-to-omics translation framework. CoRR abs/2111.13785 (2021) - [i35]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j87]Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo:
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. IEEE Comput. Intell. Mag. 15(4): 23-33 (2020) - [j86]Subin Huang, Xiangfeng Luo, Jing Huang, Hao Wang, Shengwei Gu, Yike Guo:
Improving taxonomic relation learning via incorporating relation descriptions into word embeddings. Concurr. Comput. Pract. Exp. 32(14) (2020) - [j85]Pin Wu, Zhidan Lei, Quan Zhou, Rukang Zhu, Xuting Chang, Junwu Sun, Wenjie Zhang, Yike Guo:
Multiple premises entailment recognition based on attention and gate mechanism. Expert Syst. Appl. 147: 113214 (2020) - [j84]Víctor Martínez, Senaka Fernando, Miguel Molina-Solana, Yike Guo:
Tuoris: A middleware for visualizing dynamic graphics in scalable resolution display environments. Future Gener. Comput. Syst. 106: 559-571 (2020) - [j83]Senaka Fernando, Julio Amador Díaz López, Ovidiu Serban, Juan Gómez-Romero, Miguel Molina-Solana, Yike Guo:
Towards a large-scale twitter observatory for political events. Future Gener. Comput. Syst. 110: 976-983 (2020) - [j82]Senaka Fernando, James Scott-Brown, Ovidiu Serban, David Birch, David Akroyd, Miguel Molina-Solana, Thomas Heinis, Yike Guo:
Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations. Future Gener. Comput. Syst. 112: 785-799 (2020) - [j81]Di Wu, Tao Xiao, Xuewen Liao, Jie Luo, Chao Wu, Shigeng Zhang, Yong Li, Yike Guo:
When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 61:1-61:26 (2020) - [j80]Xing Wu, Mingyu Zhong, Yike Guo, Hamido Fujita:
The assessment of small bowel motility with attentive deformable neural network. Inf. Sci. 508: 22-32 (2020) - [j79]Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo:
Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. 42: 101110 (2020) - [j78]Xing Wu, Haolei Chen, Changgu Chen, Mingyu Zhong, Shaorong Xie, Yike Guo, Hamido Fujita:
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method. Knowl. Based Syst. 196: 105201 (2020) - [j77]Nguyen Binh Truong, Kai Sun, Gyu Myoung Lee, Yike Guo:
GDPR-Compliant Personal Data Management: A Blockchain-Based Solution. IEEE Trans. Inf. Forensics Secur. 15: 1746-1761 (2020) - [c135]Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (1) 2020: 514-523 - [c134]Akara Supratak, Yike Guo:
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG. EMBC 2020: 641-644 - [c133]Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo:
Neural Assimilation. ICCS (6) 2020: 155-168 - [c132]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) 2020: 88-97 - [c131]Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. MICCAI (4) 2020: 156-165 - [c130]Philip Nadler, Rossella Arcucci, Yike Guo:
A Neural SIR Model for Global Forecasting. ML4H@NeurIPS 2020: 254-266 - [e3]Panos M. Pardalos, Ilias S. Kotsireas, Yike Guo, William J. Knottenbelt:
Mathematical Research for Blockchain Economy, 1st International Conference, MARBLE 2019, Santorini, Greece, May 6-9, 2019. Springer 2020, ISBN 978-3-030-37109-8 [contents] - [i34]Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo:
Efficient Deep Representation Learning by Adaptive Latent Space Sampling. CoRR abs/2004.02757 (2020) - [i33]Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo:
An Epidemiological Modelling Approach for Covid19 via Data Assimilation. CoRR abs/2004.12130 (2020) - [i32]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR abs/2006.13379 (2020) - [i31]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. CoRR abs/2006.14984 (2020) - [i30]Nguyen Binh Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo:
Privacy Preservation in Federated Learning: Insights from the GDPR Perspective. CoRR abs/2011.05411 (2020) - [i29]Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Neural Network. CoRR abs/2012.12056 (2020)
2010 – 2019
- 2019
- [j76]