Domain > yinjunphua.com

More information on this domain is in AlienVault OTX

DNS Resolutions

Date	IP Address
2023-09-13	18.160.96.43 (ClassC)
2024-07-14	18.154.84.38 (ClassC)
2024-07-21	18.161.21.126 (ClassC)
2024-11-21	18.161.6.16 (ClassC)
2025-03-16	99.86.38.3 (ClassC)
2025-04-17	18.161.6.103 (ClassC)
2025-06-07	99.86.38.58 (ClassC)
2025-07-16	18.161.6.106 (ClassC)
2025-11-21	3.169.173.32 (ClassC)
2026-01-22	18.161.6.82 (ClassC)

HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 14722Connection: keep-aliveDate: Thu, 21 Nov 2024 18:46:52 GMTLast-Modified: Tue, 01 Oct 2024 08:09:53 GMTETag: 94afae559da97cbff823adbd7c3bf451x-

!doctype html>html langen>head>	meta charsetutf-8>	title>Yin Jun, Phua -- Assistant Professor at Science Tokyo/title>	meta namedescription contentYin Jun Phua, currently an assistant professor at Institute of Science Tokyo. Main research focus is on bridging the gap between symbolic AI and neural networks.>	link relstylesheet href/css/chota.css>	link relstylesheet href/css/style.css>	link relapple-touch-icon sizes180x180 href/apple-touch-icon.png>	link relicon typeimage/png sizes32x32 href/favicon-32x32.png>	link relicon typeimage/png sizes16x16 href/favicon-16x16.png>	link relmanifest href/site.webmanifest>	meta nameviewport contentwidthdevice-width, initial-scale1.0>	link relalternate hreflangen hrefhttps://yinjunphua.com/>	link relalternate hreflangja hrefhttps://yinjunphua.com/ja/>	link relcanonical hrefhttps://yinjunphua.com/>	meta http-equivcontent-language contenten>/head>body>	div classcontainer>		div classrow>			div classcol>				div classpull-right>					EN | a href/ja/>日本語/a>				/div>			/div>		/div>		nav classnav>			div classnav-left>				h1 classis-marginless>Yin Jun, Phua small>— Ph.D. in Informatics/small>/h1>			/div>			div classnav-right>				a href/my-research.html>My Research/a>			/div>		/nav>		hr>		div classrow>			div classcol-10>				p>span classtext-grey>Currently/span> strong>Assistant Professor/strong> span classtext-grey>at/span> Institute of Science Tokyo span classtext-grey>since/span> October, 2024./p>				p>span classtext-grey>My main research focus is on/span> bridging the gap between strong>symbolic AI/strong> and strong>neural networks/strong>./p>				p classtext-grey>During my Ph.D., I focused on developing deep learning techniques that could extract symbolic rules from time series data. The symbolic rules generated by these techniques were meant to serve as an explanation for the observed data, and could be used for prediction and manipulation of dynamic systems. My work aimed to create explainable AI systems that could provide human-accessible insights into complex systems./p

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Domain > yinjunphua.com

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