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  1. web.cs.ucla.edu › ~weiwangWei Wang's Home Page

    Wei Wang is the Leonard Kleinrock Chair Professor in Computer Science and Computational Medicine at University of California, Los Angeles and the director of the Scalable Analytics Institute (ScAi).

  2. web.cs.ucla.edu › ~weiwang › resumeWei Wang's Resume - University of California, Los Angeles

    Wei Wang, Ph. D. Leonard Kleinrock Professor Computer Science Department University of California, Los Angeles Los Angeles, CA 90095-1596 Voice: (310) 794-0009 E-mail: weiwang@cs.ucla.edu URL: http://www.cs.ucla.edu/~weiwang/. RESEARCH INTEREST. Big Data Analytics, Data Mining, Machine Learning, Natural Language Processing, Bioinformatics and ...

  3. web.cs.ucla.edu › ~weiwang › chrolistWei Wang's Research - University of California, Los Angeles

    Research: Scalable Graph Representation Learning via Locality Sensitive Hashing, by Xiusi Chen, Jyun-Yu Jiang, and Wei Wang, Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.

  4. web.cs.ucla.edu › ~kwchang › bibliographyEvent Detection from Social Media for Epidemic Prediction

    Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric J. Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, and Kai-Wei Chang, in NAACL, 2024. Download the full text

  5. web.cs.ucla.edu › ~kwchang › membersChang's Group at UCLA NLP - University of California, Los Angeles

    Muhao Chen: PhD 2019 (informally co-advised with Carlo Zaniolo and Wei Wang)-> Postdoc at UPenn -> Assitant Professor at UC Davis Industry . Masoud Monajatipoor: PhD 2024 (Co-Adivsed with Yang) -> Optum Labs Harold (Liunian) Li: PhD 2024 -> OpenAI Tao Meng: PhD 2024 -> Zoom Wasi Uddin Ahmad: PhD 2021 -> Amazon

  6. web.cs.ucla.edu › ~chohsieh › publications_fullCho-Jui Hsieh - University of California, Los Angeles

    Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems , Jyun-Yu Jiang*, Patrick H. Chen*, Cho-Jui Hsieh and Wei Wang. (* Equal Contribution) In Proceedings of the World Wide Web Conference (WWW), 2020.

  7. web.cs.ucla.edu › ~kwchang › bibliographyGender Bias in Contextualized Word Embeddings

    Despite the great success of contextualized word embeddings on downstream applications, these representations potentially embed the societal biases exhibited in their training corpus. In this paper, we quantify, analyze and mitigate the gender bias exhibited in ELMo contextualized word vectors.

  8. web.cs.ucla.edu › ~yzsun › papersSimGNN: A Neural Network Approach to Fast Graph Similarity...

    Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang. 2019. SimGNN: A Neural Network Approach to Fast Graph Similarity Com-putation. In The Twelfth ACM International Conference on Web Search and Data Mining (WSDM’19), February 11–15, 2019, Melbourne, VIC, Australia.

  9. web.cs.ucla.edu › ~yzsunYizhou Sun (孙怡舟) - University of California, Los Angeles

    About Me. I am currently a full professor at Computer Science, UCLA. Prior to that, I joined Northeastern University as an assistant professor in 2013. I received my Ph.D. degree from Computer Science Department, University of Illinois at Urbana Champaign (UIUC) in December 2012.

  10. web.cs.ucla.edu › ~kwchang › publicationsPublications - University of California, Los Angeles

    LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line tools and library calls for users and developers. Comprehensive documents are available for both beginners and advanced users.