Professor

Buntine Wray L.

Affiliation: VinUniversity, Hanoi, Viet Nam

College of Engineering and Computer Science

Introduction

Wray Buntine is a full professor at VinUniversity, Hanoi, from 2022 and recently at Monash University, Melbourne. At Monash, starting 2014, he was foundation director of the Master of Data Science and director of the Machine Learning Group. He was also previously at NICTA in Canberra, Australia and Helsinki Institute for Information Technology where he ran a semantic search project, NASA Ames Research Center, University of California, Berkeley, and Google. In the '90s he was involved in a number of startups for both Wall Street and Silicon Valley. He is known for his theoretical and applied work and in probabilistic methods for document and text analysis, social networks, data mining and machine learning. He is on several journal editorial boards and has been senior programme committee member for premier conferences such as IJCAI, UAI, ACML and SIGKDD. He has over 200 academic publications, several software products and two patents.

Affiliation: VinUniversity, Hanoi, Viet Nam

Research Output

Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition

Tan Wei, Nguyen Dan, Li Chen, Buntine Wray, Zhao Haifeng, Du Lan
  • Active Learning
  • Deep AUC Maximization
  • Named Entity Recognition

Context-driven cold-start Web traffic forecasting

Zhou Xin, Wang Weiqing, Buntine Wray, Bergmeir Christoph
  • Cold-start
  • Multimodal
  • Time series forecasting
  • Web traffic analysis

LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models

Yang Xiaohao, Zhao He, Phung Dinh, Buntine Wray, Du Lan

Preface

Thanh Binh Huynh Thi, Buntine Wray, Fjeld Morten, Miyoshi Takumi, Tran Minh-Triet, Tran Truyen, Bao Ho Tu, Gurrin Cathal, Ide Ichiro, Tung Ta Hai

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting

Zhou Xin, Wang Weiqing, Buntine Wray, Qu Shilin, Sriramulu Abishek, Tan Weicong, Bergmeir Christoph
  • forecasting accuracy
  • high-dimensional time series
  • multivariate time series forecasting

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Tan Wei, Nguyen Ngoc Dang, Du Lan, Buntine Wray

AUC Maximization for Low-Resource Named Entity Recognition

Nguyen Ngoc Dang, Tan Wei, Du Lan, Buntine Wray, Beare Richard, Chen Changyou

Fingerprint

Keyphrases

  • Active Learning
  • Deep AUC Maximization
  • Named Entity Recognition
  • Cold-start
  • Multimodal
  • Time series forecasting
  • Web traffic analysis
  • forecasting accuracy
  • high-dimensional time series
  • multivariate time series forecasting

Computer Science

  • Theoretical Computer Science