Draft:Alvin Cheung

Submission declined on 28 September 2024 by SafariScribe (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to meet any of the eight academic-specific criteria or cite multiple reliable, secondary sources independent of the subject, which cover the subject in some depth Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by SafariScribe 45 days ago. Last edited by SafariScribe 45 days ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Submission declined on 6 July 2024 by Ldm1954 (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to meet any of the eight academic-specific criteria or cite multiple reliable, secondary sources independent of the subject, which cover the subject in some depth Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia. Declined by Ldm1954 4 months ago.

• Comment: Declined with the same reason as the previous reviewer. I see this as WP:TOOSOON, and may not pass WP:AFD. Safari Scribe^{Edits! Talk!} 05:45, 28 September 2024 (UTC)

• Comment: As the nominator, please do not use the comments to voice your opinions --those sections are for reviewers. For reference, none of the awards you mention are notable. Ldm1954 (talk) 22:28, 11 September 2024 (UTC)

• Comment: I beg to differ. A good point of comparison is Andy Pavlo, an associate professor at Carnegie Mellon who works in the same field (data management) as Cheung. While Pavlo's papers have more citations than Cheung's, their h-index and i10-index are similar. Besides that, Cheung has arguably a stronger recognition record than Pavlo (one of the notability criteria for academics): both are recipients of the Sloan fellowship and NSF Career Award, but on top of that Cheung is also a recipient of the PECASE Award, the IEEE TCDE rising star award, and the VLDB Early Career Contributions Award. All of these are international recognitions, not grants. So if Pavlo is wiki-notable, then Cheung should be as well. Landau671 (talk) 01:03, 7 July 2024 (UTC)

• Comment: It is very rare for an associate prof to be considered notable on Wikipedia. While he is off to a good start, he needs a significantly stronger publication record plus national awards (not grants. It will be some years, please don't push too hard. Ldm1954 (talk) 11:09, 6 July 2024 (UTC)

Alvin Cheung is an American computer scientist, who is currently an associate professor in the Electrical Engineering and Computer Sciences department at University of California, Berkeley.

Cheung received his undergraduate degree from Stanford University.^[1] and his PhD in computer science from MIT under Samuel Madden and Armando Solar-Lezama.

Cheung joined the Paul G. Allen School of Computer Science & Engineering at the University of Washington as an assistant professor after receiving his PhD. He moved to the University of California, Berkeley in 2019 where he is currently an associate professor in the Electrical Engineering and Computer Sciences department.

Cheung's group works on various research problems that span across data management to programming languages. In data management, his group developed the Cosette, the first fully automated solver that decides the equivalence of SQL queries,^[2] along with various data management systems for video data: LightDB,^[3] the Visual Road video processing benchmark,^[4] and Spatialyze.^[5]

In programming languages, Cheung's group is known for verified lifting,^[6] a technique that uses program synthesis rather than traditional pattern matching-based rules to compile code. His group has also developed program synthesis-based algorithms to help end users write code using natural language and examples.^[7][8][9]

Cheung also teaches a popular undergraduate database class with Joseph Hellerstein at UC Berkeley.^[10]

Cheung's research group has received a number of best paper awards. Cheung himself is a recipient of the Sloan Research Fellowship in 2019,^[11] early career awards from the United States Department of Energy,^[12] the National Science Foundation,^[13] and the Office of Naval Research.^[14]

In addition, Cheung is also a recipient of the Presidential Early Career Award for Scientists and Engineers for his research on code transformations.^[15] He has also received the Very Large Databases Endowment's Early Career Research Contribution Award ^[16] and the IEEE Technical Committee on Data Engineering Rising Star Award ^[17] for his data management work.