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Yi-Ke Guo
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- affiliation: Imperial College London, UK
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2020 – today
- 2022
[j96]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)- [j95]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) - [j94]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) - [j93]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) - [i60]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) - [i59]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) - [i58]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) - [i57]Mihai Suteu, Yike Guo:
Receding Neuron Importances for Structured Pruning. CoRR abs/2204.06404 (2022) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - 2021
- [j92]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) - [j91]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) - [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) - [c142]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 - [c141]Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo:
HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. CICAI 2021: 747-758 - [c140]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 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]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 Meyer, Nisarg A. Shah, Sanjay 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) - [c134]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 - [c133]Akara Supratak, Yike Guo:
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG. EMBC 2020: 641-644 - [c132]Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo:
Neural Assimilation. ICCS (6) 2020: 155-168 - [c131]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 - [c130]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 - [c129]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]Qi Sun, Yue Liu, Wenjie Tian, Yike Guo:
CF-PROV: A Content-Rich and Fine-Grained Scientific Workflow Provenance Model. IEEE Access 7: 30002-30016 (2019) - [j75]Axel Oehmichen, Kevin Hua, Julio Amador Díaz López, Miguel Molina-Solana, Juan Gómez-Romero, Yike Guo:
Not All Lies Are Equal. A Study Into the Engineering of Political Misinformation in the 2016 US Presidential Election. IEEE Access 7: 126305-126314 (2019) - [j74]Xing Wu, Zhikang Du, Yike Guo, Hamido Fujita:
Hierarchical attention based long short-term memory for Chinese lyric generation. Appl. Intell. 49(1): 44-52 (2019) - [j73]Xing Wu, Shuji Dai, Yike Guo, Hamido Fujita:
A machine learning attack against variable-length Chinese character CAPTCHAs. Appl. Intell. 49(4): 1548-1565 (2019) - [j72]Mansoor Saqi, Artem Lysenko, Yike Guo, Tatsuhiko Tsunoda, Charles Auffray:
Navigating the disease landscape: knowledge representations for contextualizing molecular signatures. Briefings Bioinform. 20(2): 609-623 (2019) - [j71]Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yike Guo:
Model error correction in data assimilation by integrating neural networks. Big Data Min. Anal. 2(2): 83-91 (2019) - [j70]Wei Gu, Reha Yildirimman, Emmanuel Van der Stuyft, Denny Verbeeck, Sascha Herzinger, Venkata P. Satagopam, Adriano Barbosa-Silva, Reinhard Schneider, Bodo M. H. Lange, Hans Lehrach, Yike Guo, David Henderson, Anthony Rowe:
Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium. BMC Bioinform. 20(1): 164:1-164:11 (2019) - [j69]Xuefeng Fu, Xiangfeng Luo, Yike Guo:
Entity emotion mining in social media environment. Concurr. Comput. Pract. Exp. 31(20) (2019) - [j68]Kristijonas Cyras, David Birch, Yike Guo, Francesca Toni, Rajvinder Dulay, Sally Turvey, Daniel Greenberg, Tharindi Hapuarachchi:
Explanations by arbitrated argumentative dispute. Expert Syst. Appl. 127: 141-156 (2019) - [j67]Xiuxia Ma, Xiangfeng Luo, Subin Huang, Yike Guo:
Multi-Distribution Characteristics Based Chinese Entity Synonym Extraction from The Web. Int. J. Intell. Inf. Technol. 15(3): 42-63 (2019) - [j66]Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo:
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379: 51-69 (2019) - [j65]Liuqing Chen, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter R. N. Childs, Jun Xiao, Chao Wu:
An artificial intelligence based data-driven approach for design ideation. J. Vis. Commun. Image Represent. 61: 10-22 (2019) - [j64]Subin Huang, Xiangfeng Luo, Jing Huang, Yike Guo, Shengwei Gu:
An unsupervised approach for learning a Chinese IS-A taxonomy from an unstructured corpus. Knowl. Based Syst. 182 (2019) - [j63]Stelios Pavlidis, Calixte Monast, Matthew J. Loza, Patrick Branigan, Kiang F. Chung, Ian M. Adcock, Yike Guo, Anthony Rowe, Frédéric Baribaud:
I_MDS: an inflammatory bowel disease molecular activity score to classify patients with differing disease-driving pathways and therapeutic response to anti-TNF treatment. PLoS Comput. Biol. 15(4) (2019) - [j62]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
An Information-Theoretical Framework for Cluster Ensemble. IEEE Trans. Knowl. Data Eng. 31(8): 1464-1477 (2019) - [c128]Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. BIBM 2019: 598-603 - [c127]Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. BIBM 2019: 765-769 - [c126]Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (2) 2019: 61-72 - [c125]Xiuxia Ma, Xiangfeng Luo, Subin Huang, Yike Guo:
Chinese Entity Synonym Extraction from the Web. CSIA 2019: 357-363 - [c124]Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo:
Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops 2019: 583-595 - [c123]Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. ICANN (3) 2019: 525-536 - [c122]Rossella Arcucci, Douglas McIlwraith, Yike Guo:
Scalable Weak Constraint Gaussian Processes. ICCS (4) 2019: 111-125 - [c121]Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo:
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP 2019: 734-738 - [c120]Xing Wu, Jianxing Xu, Jianjia Wang, Yufeng Li, Weimin Li, Yike Guo:
Identity authentication on mobile devices using face verification and ID image recognition. ITQM 2019: 932-939 - [c119]Senaka Fernando, David Birch, Miguel Molina-Solana, Douglas McIlwraith, Yike Guo:
Compositional Microservices for Immersive Social Visual Analytics. IV (1) 2019: 216-223 - [c118]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI 2019: 199-206 - [c117]Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. MICCAI (2) 2019: 541-549 - [c116]Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo:
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT (1) 2019: 1031-1040 - [c115]Nguyen Binh Truong, Kai Sun, Yike Guo:
Blockchain-based Personal Data Management: From Fiction to Solution. NCA 2019: 1-8 - [c114]Philip Nadler, Rossella Arcucci, Yi-Ke Guo:
A Scalable Approach to Econometric Inference. PARCO 2019: 59-68 - [c113]Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo:
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO 2019: 189-198 - [c112]Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci:
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS 2019: 633-640 - [c111]Philip Nadler, Rossella Arcucci, Yi-Ke Guo:
Data Assimilation for Parameter Estimation in Economic Modelling. SITIS 2019: 649-656 - [c110]Xing Wu, Mingyu Zhong, Guofei Feng, Shaorong Xie, Yike Guo:
The Collaborative Strategy of Multiple USVs with Deep Reinforcement Learning Method. SoMeT 2019: 159-175 - [i28]Pierre H. Richemond, Yike Guo:
Combining learning rate decay and weight decay with complexity gradient descent - Part I. CoRR abs/1902.02881 (2019) - [i27]Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo:
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. CoRR abs/1903.12626 (2019) - [i26]Nguyen Binh Truong, Kai Sun, Gyu Myoung Lee, Yike Guo:
GDPR-Compliant Personal Data Management: A Blockchain-based Solution. CoRR abs/1904.03038 (2019) - [i25]Pierre H. Richemond, Yike Guo:
Static Activation Function Normalization. CoRR abs/1905.01369 (2019) - [i24]Jiazhu Dai, Chuanshuai Chen, Yike Guo:
A backdoor attack against LSTM-based text classification systems. CoRR abs/1905.12457 (2019) - [i23]Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. CoRR abs/1907.02757 (2019) - [i22]Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. CoRR abs/1908.06278 (2019) - [i21]Nguyen Binh Truong, Kai Sun, Yike Guo:
Blockchain-based Personal Data Management: From Fiction to Solution. CoRR abs/1908.10630 (2019) - [i20]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. CoRR abs/1908.10851 (2019) - [i19]