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{{Short description|Computer scientiest}}
{{Short description|Computer scientist}}
{{Infobox scientist
{{Infobox scientist
| name = Jiliang Tang
| name = Jiliang Tang
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| website = {{URL|http://www.cse.msu.edu/~tangjili/}}
| website = {{URL|http://www.cse.msu.edu/~tangjili/}}
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'''Jiliang Tang''' is a Chinese-born [[computer scientist]] and assistant 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 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==
==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"/> 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/
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>
}}</ref>


==Awards==
==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 web |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>
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==
==Selected publications==
===Books===
===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 Publishers 2015 {{ISBN| 9781627054058}}
*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===
===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}} (Cited 1524 times, according to [[Google Scholar]] <ref name=GS>{{Google Scholar id|WtzKMWAAAAAJ}}</ref>)
*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] (Cited 1112 times, according to [[Google Scholar]] <ref name=GS />)
*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] (Cited 1250 times, according to Google Scholar.<ref name=GS />)
*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) (Cited 531 times, according to Google Scholar.<ref name=GS />)
* 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). (Cited 512 times, according to Google Scholar.<ref name=GS />)
*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). (Cited 417 times, according to Google Scholar.<ref name=GS />)
*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==
==References==
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[[Category:Chinese computer scientists]]
[[Category:Chinese computer scientists]]
[[Category:Living people]]
[[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]
  1. ^ Jiliang Tang (PDF), Michigan State University, retrieved December 22, 2020
  2. ^ Jiliang Tang publications indexed by Google Scholar
  3. ^ "5 Machine Learning Projects You Can No Longer Overlook".
  4. ^ "It's possible to reverse-engineer AI chatbots to spout nonsense, smut or sensitive information".
  5. ^ "ACM SIGKDD Rising Star Award" (Press release).
  6. ^ "NSF Award Abstract #1845081".
  7. ^ "Michigan State Universities 2020 Withrow Scholars".
[edit]
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