Search this site
Embedded Files
Yue Lu
  • Home
  • Education
  • Publications
  • Awards and Honors
  • Teaching Experience
Yue Lu
  • Home
  • Education
  • Publications
  • Awards and Honors
  • Teaching Experience
  • More
    • Home
    • Education
    • Publications
    • Awards and Honors
    • Teaching Experience

Email | Instagram | Github | Google Scholar | Linkedin | ORCID 

Yue Lu

Ph.D. Student in Computer Science

University of California, Riverside

Email: ylu175@ucr.edu

About Me

I am a Ph.D. student in the Department of Computer Science and Engineering at University of California, Riverside. My advisor is Dr. Eamonn Keogh. 

Before starting my Ph.D. journey at UC Riverside, I received my B.S. in Software Technology and Applications with First Class Honors from the Macau University of Science and Technology.

Education

  • Ph.D. Computer Science, University of California, Riverside, 2019 - 2023 

Advisor: Dr. Eamonn Keogh

  • B.S. Software Technology and Applications, Macau University of Science and Technology, 2014 - 2018

Advisor: Dr. Hong-Ning Dai

Publications

  • Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, and Eamonn Keogh. Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. In Proceedings of IEEE International Conference on Data Mining (ICDM ‘23) 2023. [pdf] [code]

  • Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Srinivas, Hannah Dela Cruz, Ryan Mercer, and Eamonn Keogh. Matrix Profile XXIX: C22MP: Fusing catch22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector. In Proceedings of IEEE International Conference on Data Mining (ICDM ‘23) 2023. [pdf][Best Paper Runner Up]

  • Yue Lu, Renjie Wu, Mueen Abdullan, Maria A. Zuluaga, Eamonn Keogh. DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. Data Mining and Knowledge Discovery, pp.1-43 2023. [pdf] [code][award]

  • Yue Lu, Renjie Wu, Mueen Abdullan, Maria A. Zuluaga, Eamonn Keogh. Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. In Proceedings of ACM Conference on Knowledge Discovery and Data Mining (KDD ‘22) 2022. [pdf] [code] [slides] [poster]

  • Yue Lu, Junhao Zhou, Hong-Ning Dai, Hao Wang, Hong Xiao. Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM. In Proceedings of the 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN 2018) 2018. [pdf] [code] [video]

  • Junhao Zhou, Yue Lu, Hong-Ning Dai, Hao Wang, Hong Xiao. Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM. IEEE Access, vol. 7, pp. 38856-38866 (extended version of I-SPAN 2018 paper) 2019. [pdf] [slides][code]

Awards and Honors


  • KDD Student Travel Award (2022)

by SIGKDD 2022

  • Dean's Fellowship Award (2019)

by University of California, Riverside

  • Dean’s Honor List (for Top 10% students) (2016-2018)

by Macau University of Science and Technology 

  • Top 10 of "MISS MUST" Campus Ambassador (2015)

by Macau University of Science and Technology 

Teaching Experience

I served as a teaching assistant for the following courses:

  • Spring 23: ARTIFICIAL INTELLIGENCE (CS205)

  • Winter 23: PROJECT IN COMPUTER SCIENCE: ARTIFICIAL INTELLIGENCE (CS179M)

  • Fall 22: INTRO TO ARTIFCAL INTELLIGENCE (CS170)

  • Spring 22: ARTIFICIAL INTELLIGENCE (CS205)

  • Winter 22: PROJECT IN COMPUTER SCIENCE: ARTIFICIAL INTELLIGENCE (CS179M)

  • Fall 20: DATA ANALYSIS METHODS (CS105)

Fun Facts About Me

  • I am from Hefei, a beautiful city in eastern China.

  • My MBTI personality type is INTP.

  • I am a big fan of hip-hop. Asen and MACOVASEAS are my favorite rappers.

  • Macau is my favorite city, where I have many unforgettable and precious memories.

  • My kitten's name is Simba and I love him very much.

Report abuse
Page details
Page updated
Report abuse