Suhang Wang

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Assistant Professor
College of Information Sciences and Technology
Penn State University
Office: E387
Phone: (814)-865-2453
Email: szw494 at psu.edu
Google scholar

Multiple PhD student positions available

I have several fully-funded Ph.D student positions in the area of data mining, machine learning and social media mining. Students with strong backgrounds in machine learning, data mining, mathematics, statistics and programming are encouraged to apply. If interested in the position, please send me a resume with your transcript.

About me

I am an Assistant Professor with the College of Information Sciences and Technology at Penn State University - University Park. I obtained my Ph.D. in Computer Science from Arizona State University in July 2018. My advisor is Professor Huan Liu. I received my BS degree in ECE from Shanghai Jiao Tong University in 2012 and MS degree in EE:System from University of Michigan, Ann Arbor, in 2013.

Research

My research interests are machine learning, data mining and social media mining.

News

  • 3/2024: Glad to be recognized as the 2024 AI 2000 Most Influential Scholar Honorable Mention in Data Mining
  • 3/2024: One paper accepted by NAACL 2024
  • 2/2024: One paper accepted by WWW 2024 Industry Track
  • 2/2024: One paper accepted by WWW 2024
  • 1/2024: One paper accepted by ICLR 2024
  • 12/2023: One paper accepted by SDM 2024
  • 12/2023: One paper accepted by AAAI 2024
  • 10/2023: Two papers accepted by WSDM 2024
  • 10/2023: One paper accepted by ICDE 2024
  • 9/2023: One paper accepted by Neurocomputing
  • 9/2023: One paper accepted by NeurIPS 2023 Datasets and Benchmarks Track
  • 9/2023: Two papers accepted by NeurIPS 2023
  • 8/2023: Grateful to receive a gift funding from NEC Labs to support our research
  • 8/2023: One paper accepted by CIKM 2023
  • 7/2023: One paper accepted by ACM TIST
  • 6/2023: One paper accepted by RecSys 2023
  • 5/2023: Four papers accepted by KDD 2023
  • 5/2023: Glad to be selected as Dean's Circle of Teaching Excellence for 2023
  • 2/2023: Glad to be recognized as the 2023 AI 2000 Most Influential Scholar Honorable Mention in Data Mining
  • 1/2023: One paper accepted by WWW 2023
  • 1/2023: Grateful to receive Cisco Faculty Research Award
  • 11/2022: Two papers accepted by LOG 2022
  • 11/2022: One paper accepted by ICDE 2023
  • 10/2022: One paper accepted by WSDM 2023
  • 9/2022: One paper accepted by NeurIPS 2022