{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:15Z","timestamp":1750220235551,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T00:00:00Z","timestamp":1643587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGMOD Rec."],"published-print":{"date-parts":[[2022,1,31]]},"abstract":"<jats:p>Welcome to ACM SIGMOD Record's series of interviews with distinguished members of the database community. I'm Marianne Winslett, and today I have here with me Huanchen Zhang, who is the 2021 winner of the ACM SIGMOD Jim Gray Dissertation Award for his thesis entitled Memory-Efficient Search Trees for Database Management Systems. After a postdoc at Snowflake, Huanchen is now an Assistant professor at Tsinghua University. His PhD is from Carnegie Mellon University, where he worked with David Andersen and Andy Pavlo. So, Huanchen, welcome!<\/jats:p>","DOI":"10.1145\/3516431.3516445","type":"journal-article","created":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T23:31:58Z","timestamp":1643671918000},"page":"47-49","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Huanchen Zhang Speaks Out on Memory-Efficient Search Trees"],"prefix":"10.1145","volume":"50","author":[{"given":"Marianne","family":"Winslett","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vanessa","family":"Braganholo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,31]]},"container-title":["ACM SIGMOD Record"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3516431.3516445","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3516431.3516445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:21Z","timestamp":1750188621000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3516431.3516445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,31]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,1,31]]}},"alternative-id":["10.1145\/3516431.3516445"],"URL":"https:\/\/doi.org\/10.1145\/3516431.3516445","relation":{},"ISSN":["0163-5808"],"issn-type":[{"type":"print","value":"0163-5808"}],"subject":[],"published":{"date-parts":[[2022,1,31]]},"assertion":[{"value":"2022-01-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}