1 | Academichttps://yingxue-zhang.netlify.app/publication-type/1/1Wowchemy (https://wowchemy.com)en-usThu, 01 Sep 2022 12:34:24 +0000https://yingxue-zhang.netlify.app/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png1https://yingxue-zhang.netlify.app/publication-type/1/STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimationhttps://yingxue-zhang.netlify.app/publication/strans-gan-spatially-transferable-generative-adversarial-networks-for-urban-traffic-estimation/Thu, 01 Sep 2022 12:34:24 +0000https://yingxue-zhang.netlify.app/publication/strans-gan-spatially-transferable-generative-adversarial-networks-for-urban-traffic-estimation/C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation though Generative Adversarial Networkshttps://yingxue-zhang.netlify.app/publication/c3gan/Mon, 30 Aug 2021 00:00:00 +0000https://yingxue-zhang.netlify.app/publication/c3gan/<div class="alert alert-note"> <div> Click the <em>Cite</em> button above to demo the feature to enable visitors to import publication metadata into their reference management software. </div> </div> <div class="alert alert-note"> <div> Create your slides in Markdown - click the <em>Slides</em> button to check out the example. </div> </div> <p>Supplementary notes can be added here, including <a href="https://wowchemy.com/docs/writing-markdown-latex/" target="_blank" rel="noopener">code, math, and images</a>.</p>cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Predictionhttps://yingxue-zhang.netlify.app/publication/cst-ml-continuous-spatial-temporal-meta-learning-for-traffic-dynamics-prediction/Mon, 31 Aug 2020 19:28:34 +0000https://yingxue-zhang.netlify.app/publication/cst-ml-continuous-spatial-temporal-meta-learning-for-traffic-dynamics-prediction/COVID-GAN: Esti-mating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional GenerativeAdversarial Networkshttps://yingxue-zhang.netlify.app/publication/covid-gan-esti-mating-human-mobility-responses-to-covid-19-pandemic-through-spatio-temporal-conditional-generativeadversarial-networks/Thu, 27 Aug 2020 19:26:33 +0000https://yingxue-zhang.netlify.app/publication/covid-gan-esti-mating-human-mobility-responses-to-covid-19-pandemic-through-spatio-temporal-conditional-generativeadversarial-networks/Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networkshttps://yingxue-zhang.netlify.app/publication/example/Wed, 03 Jun 2020 00:00:00 +0000https://yingxue-zhang.netlify.app/publication/example/<div class="alert alert-note"> <div> Click the <em>Cite</em> button above to demo the feature to enable visitors to import publication metadata into their reference management software. </div> </div> <div class="alert alert-note"> <div> Create your slides in Markdown - click the <em>Slides</em> button to check out the example. </div> </div> <p>Supplementary notes can be added here, including <a href="https://wowchemy.com/docs/writing-markdown-latex/" target="_blank" rel="noopener">code, math, and images</a>.</p>TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networkshttps://yingxue-zhang.netlify.app/publication/trafficgan-off-deployment-traffic-estimation-with-traffic-generative-adversarial-networks/Thu, 01 Aug 2019 19:33:21 +0000https://yingxue-zhang.netlify.app/publication/trafficgan-off-deployment-traffic-estimation-with-traffic-generative-adversarial-networks/