1 / 9

Publishing in Top Venues

This guide provides valuable insights on topic selection, techniques for developing a story, paper writing tips, and conducting experiments to ensure the story's credibility. The authors, faculty members and research fellows at UNSW's Database Group, share their expertise in core topics of Database, Data Mining, Information Retrieval, and Multimedia. With over 20+ PhD students, the group's research interests encompass new and existing topics in the field. Whether pursuing new areas or complex breakthroughs, this guide offers practical advice to help researchers achieve success in publishing.

mlollis
Download Presentation

Publishing in Top Venues

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Publishing in Top Venues Xuemin Lin School of Computer Science University of New South Wales Australia

  2. Database Group@UNSW (2003-) 3 • 4 faculty members : Prof Xuemin Lin Dr. John Shepherd Dr. Wei Wang Dr. Raymond Wong • 4 research fellows (research assistant Prof) Dr. Lijun Chang --- Graph Dr. Muhammad Aamir Cheema (ARC DECRA) --- Spatial Temporal Dr. Wenjie Zhang (ARC DECRA) --- Uncertain Dr. Ying Zhang (ARC APD) --- Stream • 20+PhD students. • Research Interests: core topics in DB, DM, IR, MM. DBG@UNSW

  3. Enjoyable? Make an interesting story and sell it… Tough game but…let us love this game!

  4. Outline • Topic selection (故事的主题） • Techniques Developing （故事的展开） • Paper writing （故事的写作） • Experiment （故事的现实性）

  5. Topic Selection (new vs existing topics) New topics: • New areas • tough to promote but go for it • Very sound applications (e.g. association rules, data cube, etc) • New problem formalization • tough to promote • avoid delta variations • Period-dependent (NP-completeness, probabilistic queries, etc) • Semantics validation

  6. Topic Selection (new vs existing topics) • Existing problems • Need a “big” story • Complexity breakthroughs! • Critical observations!

  7. Developing Techniques • Single ideas vs multiple ideas? • My personal choice: single idea and framework • Multiple ideas: completeness of your selection • How many enough? Interesting enough? • Nothing to do with quantity • Interesting “insights”! (minimum: 3 interesting spots?) • No space left for reviewers to imagine an immediate improvements.

  8. Writing-up • Easy for “busy” people to read. • Make the early parts most interesting. • Clearly structured. • No holes! • Make a good story in the introduction part • 40% contribution to your success • Your short bio/CV

  9. Experiments • Final chance to market your technical developments • Avoid to have “fun” and mess-up things around! • Results presented aim to verify your insights.

More Related