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My PhD thesis “Constructing and Mining Heterogeneous Information Networks From Massive Text” has been awarded Runner-up in the SIGKDD Dissertation Award competition. Thanks a lot to my advisor Dr. Jiawei Han and the award committee! Here is a brief video introduction to my work.
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We are going to discuss about “Scientific Text Mining and Knowledge Graphs”. More details can be found here.
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Our novel training method, LipGrow, can save ~50% time for deep ResNets with theory behind!
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Recently, we have 2 papers got accepted by ACL. The travel is not clear yet due to the COVID-19. The camera-ready versions are coming soon. Please stay tuned.
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To celebrate the annual event of Halıcıoğlu Data Science Institute, we collaborate with Topcoder to bring a Lightning Data Science Marathon Match to UCSD! It will run from 5 PM PST Feb 26 (Wed) to 5 AM PST Mar 1 (Sunday). We will announce the winners during the HDSI annual event on Mar 2.
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I’m joining UC San Diego as Assistant Professor starting from Jan 2020. I will be jointly appointed by Computer Science and Engineering (CSE) and Halıcıoğlu Data Science Institute (HDSI). I’m looking for talented & dedicated students to work together on data-driven, large-scale text mining and network mining problems.
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Our NetTaxo paper has been accepted by WWW 2020. The camera-ready versions are coming soon. Please stay tuned.
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My team (Jingbo Shang, Zhengkai Wu, Wenda Qiu), representing UIUC, wins the world champion of the IEEEXtreme 12.0 competition! The final leaderboard can be found here.
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Recently, we have gradually developed many theoretically sound and practically useful named entity recognition (NER) tools.
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Recently, we have 3 papers got accepted by EMNLP and CIKM. I will travel to Turin, Italy and Brussels, Belgium for the conferences. The camera-ready versions are coming soon. Please stay tuned.
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Our two KDD Showcase Projects have been selected for oral presentations, poster presentations, and demo presentations!
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Read this for more details.
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This award is for one outstanding graduate student each year in the CS Department at UIUC.
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Great news! Our paper of “Automated Phrase Mining from Massive Text Corpora” has been just accepted by IEEE Transactions on Knowledge and Data Engineering! Please checkout the toolkit at my GibHub: AutoPhrase. It currently support English, Spanish, and Chinese.
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Last Saturday, Nov 4, our 5 teams went to the ACM/ICPC Mid-Central Regional Contest (MCPC)! We are using the theme of “corn” to name the teams, i.e., Popcorn, Unicorn, Scorn, .*corn, and Acorn. The suffix “corn” is always replaced by the emoji U+1F33D.
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Read this for both problems and solutions.
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Read this for both problems and solutions.
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Read this for tryout details.
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More details can be found here.
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I’m visiting Google MTV office on this Monday and Tuesday. More details of this event will be updated later.
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Since the original 50 seats have been filled up quickly, we have extended the class to 150 seats! So CS 491 CAP 2017 Fall has about 100 seats for registration now! Go to U of I self-service and secure your seat (CRN 65816) today!
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From left to right: Bill Poucher, Uttam Thakore, Mattox Beckman, Yewen Fan, Tong Li, Yuting Zhang, Jingbo Shang.
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Here is a short video for everything before the dinner.
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Together with Jialu Liu and Jiawei Han, we have written a phrase mining book “Phrase Mining from Massive Text and Its Applications”.
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I’m honored to receive the Google Ph.D. Fellowship from Fall 2017. The full list of 2017 Google Ph.D. Fellow can be found here. There are 33 recipients from North America, Europe and the Middle East. I’m the sole winner in Structured Data and Database Management from North America.