Wray L. Buntine

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 117

Top Venues

Publications

Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. CoRR (2024)
Wei Tan, Lan Du, Wray L. Buntine
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. ACL (Findings) (2024)
Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine
Improving Vietnamese-English Medical Machine Translation. LREC/COLING (2024)
Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. AAAI (2024)
Do Huu Dat, Do Duc Anh, Anh Tuan Luu, Wray L. Buntine
Discrete Diffusion Language Model for Long Text Summarization. CoRR (2024)
Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine
A Survey on the Real Power of ChatGPT. CoRR (2024)
Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham
OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation. CoRR (2024)
Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17 (2024)
Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine
Improving Vietnamese-English Medical Machine Translation. CoRR (2024)
Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
Reward Engineering for Generating Semi-structured Explanation. EACL (Findings) (2024)
Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
Towards Uncertainty-Aware Language Agent. CoRR (2024)
Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
Towards Uncertainty-Aware Language Agent. ACL (Findings) (2024)
Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. CoRR (2024)
Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web (WWW) 27 (3) (2024)
Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe
Navigating Conflicting Views: Harnessing Trust for Learning. CoRR (2024)
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
AUC Maximization for Low-Resource Named Entity Recognition. AAAI (2023)
Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine
MEG: Masked Ensemble Tabular Data Generator. ICDM (2023)
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? CoRR (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED (2023)
Caitlin Doogan, Wray L. Buntine, Henry Linger
A systematic review of the use of topic models for short text social media analysis. Artif. Intell. Rev. 56 (12) (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR (2023)
Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. CoRR (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED (2023)
Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun
HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. CoRR (2023)
Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. CoRR (2023)
Wei Tan, Lan Du, Wray L. Buntine
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR (2023)
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? ICDM (2023)
Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
Reward Engineering for Generating Semi-structured Explanation. CoRR (2023)
Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. IJCAI (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR (2023)
Lan Zhang, Wray L. Buntine, Ehsan Shareghi
On the Effect of Isotropy on VAE Representations of Text. ACL (2) (2022)
Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari
Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) (2022)
Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. CoRR (2022)
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. 48 (8) (2022)
Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Wray L. Buntine, Mohammed Bennamoun
Hands-On Bayesian Neural Networks - A Tutorial for Deep Learning Users. IEEE Comput. Intell. Mag. 17 (2) (2022)
Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. EMNLP (2022)
Wray L. Buntine
Understanding Hierarchical Processes. Entropy 24 (12) (2022)
Vy Vo, Weiqing Wang, Wray L. Buntine
Unsupervised Sentence Simplification via Dependency Parsing. CoRR (2022)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR (2022)
Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) (2022)
Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du
AUC Maximization for Low-Resource Named Entity Recognition. CoRR (2022)
Caitlin Doogan, Wray L. Buntine
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures. NAACL-HLT (2021)
Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR (2021)
Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR (2021)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? CoRR (2021)
Lixue Zou, Xiwen Liu, Wray L. Buntine, Yanli Liu
Citation context-based topic models: discovering cited and citing topics from full text. Libr. Hi Tech 39 (4) (2021)
Lan Zhang, Wray L. Buntine, Ehsan Shareghi
The Neglected Sibling: Isotropic Gaussian Posterior for VAE. CoRR (2021)
Wei Tan, Lan Du, Wray L. Buntine
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. NeurIPS (2021)
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR (2021)
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
Neural Topic Model via Optimal Transport. ICLR (2021)
Rabeh Ravanifard, Abdolreza Mirzaei, Wray L. Buntine, Mehran Safayani
Content-Aware Listwise Collaborative Filtering. Neurocomputing 461 (2021)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) (2021)
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. CoRR (2021)
Wei Tan, Lan Du, Wray L. Buntine
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. CoRR (2021)
He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI (2021)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP (Findings) (2021)
Rabeh Ravanifard, Wray L. Buntine, Abdolreza Mirzaei
Recommending content using side information. Appl. Intell. 51 (6) (2021)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
Neural Attention-Aware Hierarchical Topic Model. CoRR (2021)
He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR (2021)
Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. CoRR (2021)
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. EMNLP (Findings) (2021)
Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR (2020)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. COLING (2020)
Wray L. Buntine
Machine learning after the deep learning revolution. Frontiers Comput. Sci. 14 (6) (2020)
Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. CoRR (2020)
He Zhang, François Petitjean, Wray L. Buntine
Bayesian network classifiers using ensembles and smoothing. Knowl. Inf. Syst. 62 (9) (2020)
He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
Neural Sinkhorn Topic Model. CoRR (2020)
Laurent Valentin Jospin, Wray L. Buntine, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun
Hands-on Bayesian Neural Networks - a Tutorial for Deep Learning Users. CoRR (2020)
He Zhang, François Petitjean, Wray L. Buntine
Hierarchical Gradient Smoothing for Probability Estimation Trees. PAKDD (1) (2020)
Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine
LoRMIkA: Local rule-based model interpretability with k-optimal associations. Inf. Sci. 540 (2020)
Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine
Gaussian Embedding of Large-Scale Attributed Graphs. ADC (2020)
Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. ECAI (2020)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS (2020)
Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine
Robust Attribute and Structure Preserving Graph Embedding. PAKDD (2) (2020)
He Zhao, Lan Du, Wray L. Buntine, Gang Liu
Leveraging external information in topic modelling. Knowl. Inf. Syst. 61 (2) (2019)
He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine
Leveraging Meta Information in Short Text Aggregation. ACL (1) (2019)
Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. CoRR (2019)
Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine
Gaussian Embedding of Large-scale Attributed Graphs. CoRR (2019)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou
Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR (2019)
Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray L. Buntine
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. CoRR (2019)
Ming Liu, Wray L. Buntine, Gholamreza Haffari
Learning How to Actively Learn: A Deep Imitation Learning Approach. ACL (1) (2018)
Poorya Zaremoodi, Wray L. Buntine, Gholamreza Haffari
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. ACL (2) (2018)
Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR (2018)
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
Dirichlet belief networks for topic structure learning. NeurIPS (2018)
He Zhao, Piyush Rai, Lan Du, Wray L. Buntine
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS (2018)
Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML (2018)
Joan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray L. Buntine
A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis. ECML/PKDD (2) (2018)
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
Dirichlet belief networks for topic structure learning. CoRR (2018)
François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. 107 (8-10) (2018)
He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
Inter and Intra Topic Structure Learning with Word Embeddings. ICML (2018)
Ming Liu, Wray L. Buntine, Gholamreza Haffari
Learning to Actively Learn Neural Machine Translation. CoNLL (2018)
Wray L. Buntine
Backoff methods for estimating parameters of a Bayesian network. AMBN (2017)
He Zhao, Lan Du, Wray L. Buntine
Leveraging Node Attributes for Incomplete Relational Data. CoRR (2017)
Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106 (9-10) (2017)
He Zhao, Lan Du, Wray L. Buntine
Leveraging Node Attributes for Incomplete Relational Data. ICML (2017)
Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah
Leveraging Linguistic Resources for Improving Neural Text Classification. ALTA (2017)
He Zhao, Lan Du, Wray L. Buntine
A Word Embeddings Informed Focused Topic Model. ACML (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wray L. Buntine