Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Sanxing Chen - |
Description | Home Blog GitHub (opens new window) Home Blog GitHub (opens new window) EN How To Become A Front-end Developer On the Research of CS On Paper Note-taking |
Keywords | N/A |
WebSite | sanxing.ai |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$860,820
Last updated: 2023-05-19 20:06:41
sanxing.ai has Semrush global rank of 12,295,614. sanxing.ai has an estimated worth of US$ 860,820, based on its estimated Ads revenue. sanxing.ai receives approximately 99,326 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, sanxing.ai is safe to visit. |
Purchase/Sale Value | US$860,820 |
Daily Ads Revenue | US$795 |
Monthly Ads Revenue | US$23,839 |
Yearly Ads Revenue | US$286,057 |
Daily Unique Visitors | 6,622 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
sanxing.ai. | A | 300 | IP: sanxing-chen.github.io. |
sanxing-chen.github.io. | A | 3599 | IP: 185.199.111.153 |
sanxing-chen.github.io. | A | 3599 | IP: 185.199.110.153 |
sanxing-chen.github.io. | A | 3599 | IP: 185.199.109.153 |
sanxing-chen.github.io. | A | 3599 | IP: 185.199.108.153 |
sanxing.ai. | AAAA | 299 | IPV6: sanxing-chen.github.io. |
sanxing-chen.github.io. | AAAA | 3599 | IPV6: 2606:50c0:8001::153 |
sanxing-chen.github.io. | AAAA | 3599 | IPV6: 2606:50c0:8002::153 |
sanxing-chen.github.io. | AAAA | 3599 | IPV6: 2606:50c0:8003::153 |
sanxing-chen.github.io. | AAAA | 3599 | IPV6: 2606:50c0:8000::153 |
sanxing.ai. | NS | 299 | NS Record: sanxing-chen.github.io. |
sanxing.ai. | MX | 299 | MX Record: sanxing-chen.github.io. |
sanxing.ai. | TXT | 299 | TXT Record: sanxing-chen.github.io. |
Home Blog GitHub (opens new window) Home Blog GitHub (opens new window) EN How To Become A Front-end Developer On the Research of CS On Paper Note-taking 中文 Sanxing Chen # Bio I am a PhD student at Duke University, advised by Bhuwan Dhingra (opens new window) and Sam Wiseman (opens new window) . I research, through a language processing lens, how to help computers to learn, think, and communicate in the way human beings do. Humans learn language through brief interactions with the world at an early developmental stage, and then it becomes the conduit (opens new window) that transmits all kinds of knowledge between people. In constract, current most advanced learning systems learn language from billions of words in plain text. I’m thus interested in situated learning, especially in an interactive environment. Previously, I spent a year working as an applied scientist at Microsoft. I did my master’s work at the University of Virginia, where I was a member of the ILP Lab (opens new |
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