Jump to content

Jiliang Tang: Difference between revisions

From Wikipedia, the free encyclopedia
Content deleted Content added
Tsd5037 (talk | contribs)
Changed the writing to not copy from his webpage. Please note this is my advisor and he asked me to create this page. I was unaware that I could not directly copy paste thinking he himself allowed me to do so. Added two exact references for his media coverage as this was mentioned in the comments. Note that I will add more later when I have time. His NSF and MSU awards now have exact links to NSF and MSU websites. His google scholar link has remained as this seems a valid reference.
Citation bot (talk | contribs)
Altered template type. | Use this bot. Report bugs. | Suggested by Spinixster | Category:Machine learning researchers | #UCB_Category 22/166
 
(36 intermediate revisions by 17 users not shown)
Line 1: Line 1:
{{Short description|Computer scientist}}
{{db-copyvio|url=http://www.cse.msu.edu/~tangjili/|help=off}}
{{AFC submission|d|prof|u=Tsd5037|ns=2|decliner=Sulfurboy|declinets=20200620005626|ts=20200619235138}} <!-- Do not remove this line! -->

<!-- EDIT BELOW THIS LINE -->
{{Infobox scientist
{{Infobox scientist
| name = Jiliang Tang
| name = Jiliang Tang
| image = [[File:Jiliang tang.jpg|thumb]]
| image =
| caption = Jiliang Tang in 2017
| caption = Tang in 2017
| workplaces = [[Michigan State University]]
| workplaces = [[Michigan State University]]
| alma_mater = [[Arizona State University]] (PhD)
| alma_mater = [[Arizona State University]] (PhD)
| thesis_title = Computing Distrust in Social Media
| thesis_title = Computing Distrust in Social Media
| thesis_year = 2015
| thesis_year = 2015
| doctoral_advisor = [[Huan Liu]]
| doctoral_advisor = [[Huan Liu]]
| awards = [[National Science Foundation CAREER Awards|NSF Career Award]] (2019) <br /> [[Special Interest Group on Knowledge Discovery and Data Mining|ACM SIGKDD Rising Star Award]] (2020)
| awards = [[National_Science_Foundation_CAREER_Awards|NSF Career Award]] (2019)
| website = {{URL|http://www.cse.msu.edu/~tangjili/}}
| website = {{URL|http://www.cse.msu.edu/~tangjili/}}
}}
}}
'''Jiliang Tang''' is a Chinese-born [[computer scientist]] and associate professor at [[Michigan State University]] in the Computer Science and Engineering Department, where he is the director of the Data Science and Engineering (DSE) Lab. His research expertise is in [[data mining]] and [[machine learning]].
Jiliang Tang is a [[Computer Scientist]] and Assistant Professor at [[Michigan_State_University|Michigan State University]] in the Computer Science and Engineering Department. His research expertise is in [[Data_mining|data mining]] and [[Machine_learning|machine learning]]. He is a rising star in his field and has won prestigious awards, such as [[National_Science_Foundation_CAREER_Awards|NSF Career Award]]<ref>{{cite web |title=NSF Award Abstract #1845081 |url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=1845081&HistoricalAwards=false}}</ref> and Michigan State University's Distinguished Withrow Research Award<ref>{{cite web |title=Michigan State Universities 2020 Withrow Scholars |url=https://www.egr.msu.edu/news/2020/04/27/2020-withrow-scholars}}</ref>. He is the director of the [http://dse.cse.msu.edu/ Data Science and Engineering (DSE) Lab] at Michigan State University. His work has received extensive media coverage<ref>{{cite web |title=5 Machine Learning Projects You Can No Longer Overlook |url=https://www.kdnuggets.com/2017/04/five-machine-learning-projects-cant-overlook-april.html}}</ref><ref>{{cite web |title=It's possible to reverse-engineer AI chatbots to spout nonsense, smut or sensitive information |url=https://www.theregister.com/2019/09/20/reverse_engineer_an_ai_chatbot/

}}</ref>. His research has received well over ten thousand citations as seen on his Google Scholar page <ref>{{cite web |title=Dr. Jiliang Tang's Google Scholar Page |url=https://scholar.google.com/citations?user=WtzKMWAAAAAJ&hl=en}}</ref>.
==Education and career==
He received his BEng in software engineering (2008) and MSc in computer science (2010) from the [[Beijing Institute of Technology]], [[Beijing]], China. His PhD is from [[Arizona State University]] (2015), under the direction of [[Huan Liu]]. After gaining his PhD, he worked as a research scientist at [[Yahoo]] Labs (2015–16) before joining [[Michigan State University]] as an assistant professor (2016).<ref name=CV>{{citation |url=https://www.cse.msu.edu/~tangjili/jiliang_tang.pdf |title=Jiliang Tang|publisher=[[Michigan State University]]|access-date=December 22, 2020}}</ref> His research has mostly been published jointly with Huan Liu. It has received over thirteen thousand citations documented by [[Google Scholar]],<ref name=GS>{{Google Scholar id|WtzKMWAAAAAJ}}</ref> and has received coverage in the media.<ref>{{cite web |title=5 Machine Learning Projects You Can No Longer Overlook |url=https://www.kdnuggets.com/2017/04/five-machine-learning-projects-cant-overlook-april.html}}</ref><ref>{{cite web |title=It's possible to reverse-engineer AI chatbots to spout nonsense, smut or sensitive information |url=https://www.theregister.com/2019/09/20/reverse_engineer_an_ai_chatbot/
}}</ref>

==Awards==
He has received the 2020 [[Association for Computing Machinery|ACM]] [[Special Interest Group on Knowledge Discovery and Data Mining|SIGKDD]] Rising Star Award that "aims to celebrate the early accomplishments of the SIGKDD communities' brightest new minds",<ref>{{cite press release |title=ACM SIGKDD Rising Star Award | url=https://www.prnewswire.com/news-releases/kdd-2020-honors-career-achievements-in-knowledge-discovery-and-data-mining-301111583.html}}</ref> [[National Science Foundation CAREER Awards|NSF Career Award]],<ref>{{cite web |title=NSF Award Abstract #1845081 |url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=1845081&HistoricalAwards=false}}</ref> and Michigan State University's Distinguished Withrow Research Award.<ref>{{cite web |title=Michigan State Universities 2020 Withrow Scholars |url=https://www.egr.msu.edu/news/2020/04/27/2020-withrow-scholars}}</ref>

==Selected publications==
===Books===
*Jiliang Tang, Huan Liu. ''Trust in Social Media'', (Synthesis digital library of engineering and computer science; Synthesis lectures on information security, privacy, and trust, # 13) Morgan & Claypool, 2015 {{ISBN| 9781627054058}}

===Peer reviewed journal articles===
*Shu K, Sliva A, Wang S, Tang J, Liu H. Fake news detection on social media: A data mining perspective. ACM SIGKDD explorations newsletter. 2017 Sep 1;19(1):22-36. [https://arxiv.org/pdf/1708.01967] {{openaccess}}
*Tang J, Alelyani S, Liu H. Feature selection for classification: A review. Data classification: Algorithms and applications. 2014:37. [http://www.cvs.edu.in/upload/feature_selection_for_classification.pdf]
*Li J, Cheng K, Wang S, Morstatter F, Trevino RP, Tang J, Liu H. Feature selection: A data perspective. ACM Computing Surveys (CSUR). 2017 Dec 6;50(6):1-45. [https://dl.acm.org/doi/pdf/10.1145/3136625]
* Chang S, Han W, Tang J, Qi GJ, Aggarwal CC, Huang TS. Heterogeneous network embedding via deep architectures. InProceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining 2015 Aug 10 (pp.&nbsp;119–128)
*Gao H, Tang J, Hu X, Liu H. Exploring temporal effects for location recommendation on location-based social networks. InProceedings of the 7th ACM conference on Recommender systems 2013 Oct 12 (pp.&nbsp;93–100).
*Hu X, Tang J, Gao H, Liu H. Unsupervised sentiment analysis with emotional signals. InProceedings of the 22nd international conference on World Wide Web 2013 May 13 (pp.&nbsp;607–618).

==References==
{{reflist}}

== External links ==
*[http://www.cse.msu.edu/~tangjili/ Webpage at Michigan State]
{{authority control}}

{{DEFAULTSORT:Tang, Jiliang}}
[[Category:Chinese expatriates in the United States]]
[[Category:Machine learning researchers]]
[[Category:21st-century Chinese scientists]]
[[Category:Arizona State University alumni]]
[[Category:Beijing Institute of Technology alumni]]
[[Category:Michigan State University faculty]]
[[Category:Chinese computer scientists]]
[[Category:Living people]]
[[Category:Year of birth missing (living people)]]

Latest revision as of 02:26, 5 June 2024

Jiliang Tang
Alma materArizona State University (PhD)
AwardsNSF Career Award (2019)
ACM SIGKDD Rising Star Award (2020)
Scientific career
InstitutionsMichigan State University
Thesis Computing Distrust in Social Media  (2015)
Doctoral advisorHuan Liu
Websitewww.cse.msu.edu/~tangjili/

Jiliang Tang is a Chinese-born computer scientist and associate professor at Michigan State University in the Computer Science and Engineering Department, where he is the director of the Data Science and Engineering (DSE) Lab. His research expertise is in data mining and machine learning.

Education and career

[edit]

He received his BEng in software engineering (2008) and MSc in computer science (2010) from the Beijing Institute of Technology, Beijing, China. His PhD is from Arizona State University (2015), under the direction of Huan Liu. After gaining his PhD, he worked as a research scientist at Yahoo Labs (2015–16) before joining Michigan State University as an assistant professor (2016).[1] His research has mostly been published jointly with Huan Liu. It has received over thirteen thousand citations documented by Google Scholar,[2] and has received coverage in the media.[3][4]

Awards

[edit]

He has received the 2020 ACM SIGKDD Rising Star Award that "aims to celebrate the early accomplishments of the SIGKDD communities' brightest new minds",[5] NSF Career Award,[6] and Michigan State University's Distinguished Withrow Research Award.[7]

Selected publications

[edit]

Books

[edit]
  • Jiliang Tang, Huan Liu. Trust in Social Media, (Synthesis digital library of engineering and computer science; Synthesis lectures on information security, privacy, and trust, # 13) Morgan & Claypool, 2015 ISBN 9781627054058

Peer reviewed journal articles

[edit]
  • Shu K, Sliva A, Wang S, Tang J, Liu H. Fake news detection on social media: A data mining perspective. ACM SIGKDD explorations newsletter. 2017 Sep 1;19(1):22-36. [1] Open access icon
  • Tang J, Alelyani S, Liu H. Feature selection for classification: A review. Data classification: Algorithms and applications. 2014:37. [2]
  • Li J, Cheng K, Wang S, Morstatter F, Trevino RP, Tang J, Liu H. Feature selection: A data perspective. ACM Computing Surveys (CSUR). 2017 Dec 6;50(6):1-45. [3]
  • Chang S, Han W, Tang J, Qi GJ, Aggarwal CC, Huang TS. Heterogeneous network embedding via deep architectures. InProceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining 2015 Aug 10 (pp. 119–128)
  • Gao H, Tang J, Hu X, Liu H. Exploring temporal effects for location recommendation on location-based social networks. InProceedings of the 7th ACM conference on Recommender systems 2013 Oct 12 (pp. 93–100).
  • Hu X, Tang J, Gao H, Liu H. Unsupervised sentiment analysis with emotional signals. InProceedings of the 22nd international conference on World Wide Web 2013 May 13 (pp. 607–618).

References

[edit]
[edit]