| 2026 | AAAI | Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2026 | LREC | ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark. | Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, Duy Mai Hoang, Chien Dinh Huynh, Inigo Jauregi Unanue, Massimo Piccardi, Wray L. Buntine, Dung D. Le |
| 2025 | ADMA | Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition. | Wei Tan, Dan Nguyen, Chen Li, Wray L. Buntine, Haifeng Zhao, Lan Du |
| 2025 | EMNLP | VerifiAgent: a Unified Verification Agent in Language Model Reasoning. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2025 | EMNLP | Logical Reasoning with Outcome Reward Models for Test-Time Scaling. | Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi |
| 2025 | EMNLP | Assessing the Sensitivity and Alignment of FOL Closeness Metrics. | Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi |
| 2025 | ICML | Navigating Conflicting Views: Harnessing Trust for Learning. | Jueqing Lu, Wray L. Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe, Lan Du |
| 2025 | NAACL | Discrete Diffusion Language Model for Efficient Text Summarization. | Do Huu Dat, Duc Anh Do, Anh Tuan Luu, Wray L. Buntine |
| 2025 | WACV | HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. | Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun |
| 2024 | AAAI | Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. | Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine |
| 2024 | ACL | Towards Uncertainty-Aware Language Agent. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2024 | ACL | PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. | Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi |
| 2024 | ACL | MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. | Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine |
| 2024 | CIKM | Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. | Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir |
| 2024 | COLING | Improving Vietnamese-English Medical Machine Translation. | Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine |
| 2024 | EACL | Reward Engineering for Generating Semi-structured Explanation. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2023 | AAAI | AUC Maximization for Low-Resource Named Entity Recognition. | Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen |
| 2023 | AAAI | Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. | Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie |
| 2023 | AIED | Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. | Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic |
| 2023 | AIED | Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. | Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine |
| 2023 | ICDM | Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? | Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen |
| 2023 | ICDM | MEG: Masked Ensemble Tabular Data Generator. | Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine |
| 2023 | IJCAI | A Survey on Out-of-Distribution Evaluation of Neural NLP Models. | Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine |
| 2022 | ACL | On the Effect of Isotropy on VAE Representations of Text. | Lan Zhang, Wray L. Buntine, Ehsan Shareghi |
| 2022 | EMNLP | Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. | Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare |
| 2022 | PAKDD | ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. | Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie |
| 2022 | WACV | Inductive Biases for Low Data VQA: A Data Augmentation Approach. | Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari |
| 2021 | CVPR | All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. | Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari |
| 2021 | EMNLP | Neural Attention-Aware Hierarchical Topic Model. | Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine |
| 2021 | EMNLP | Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. | Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine |
| 2021 | EMNLP | Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? | Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du |
| 2021 | ICLR | Neural Topic Model via Optimal Transport. | He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine |
| 2021 | IJCAI | Topic Modelling Meets Deep Neural Networks: A Survey. | He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine |
| 2021 | NAACL | Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures. | Caitlin Doogan, Wray L. Buntine |
| 2020 | ADC | Gaussian Embedding of Large-Scale Attributed Graphs. | Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine |
| 2020 | AISTATS | Variational Autoencoders for Sparse and Overdispersed Discrete Data. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou |
| 2020 | COLING | Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. | Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari |
| 2020 | ECAI | MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. | Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine |
| 2020 | PAKDD | Robust Attribute and Structure Preserving Graph Embedding. | Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine |
| 2020 | PAKDD | Hierarchical Gradient Smoothing for Probability Estimation Trees. | He Zhang, Franois Petitjean, Wray L. Buntine |
| 2019 | ACL | Leveraging Meta Information in Short Text Aggregation. | He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine |
| 2018 | ACL | Learning How to Actively Learn: A Deep Imitation Learning Approach. | Ming Liu, Wray L. Buntine, Gholamreza Haffari |
| 2018 | ACL | Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. | Poorya Zaremoodi, Wray L. Buntine, Gholamreza Haffari |
| 2018 | ACML | Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. | Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine |
| 2018 | AISTATS | Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine |
| 2018 | CoNLL | Learning to Actively Learn Neural Machine Translation. | Ming Liu, Wray L. Buntine, Gholamreza Haffari |
| 2018 | ICML | Inter and Intra Topic Structure Learning with Word Embeddings. | He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou |
| 2017 | ACML | A Word Embeddings Informed Focused Topic Model. | He Zhao, Lan Du, Wray L. Buntine |
| 2017 | ICDM | MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. | He Zhao, Lan Du, Wray L. Buntine, Gang Liu |
| 2017 | ICML | Leveraging Node Attributes for Incomplete Relational Data. | He Zhao, Lan Du, Wray L. Buntine |
| 2016 | SIGIR | PULP: A System for Exploratory Search of Scientific Literature. | Alan Medlar, Kalle Ilves, Ping Wang, Wray L. Buntine, Dorota Glowacka |
| 2015 | CIKM | Making Topic Models more Usable. | Wray L. Buntine |
| 2015 | DSAA | Special session on trends & controversies in data science (TCDS). | Florence Forbes, Wray L. Buntine |
| 2014 | ACML | Bibliographic Analysis with the Citation Network Topic Model. | Kar Wai Lim, Wray L. Buntine |
| 2014 | CIKM | Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. | Kar Wai Lim, Wray L. Buntine |
| 2014 | KDD | Experiments with non-parametric topic models. | Wray L. Buntine, Swapnil Mishra |
| 2013 | ICML | Dependent Normalized Random Measures. | Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh |
| 2013 | NAACL | Topic Segmentation with a Structured Topic Model. | Lan Du, Wray L. Buntine, Mark Johnson |
| 2013 | SIGIR | Improving LDA topic models for microblogs via tweet pooling and automatic labeling. | Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie |
| 2012 | EMNLP | Modelling Sequential Text with an Adaptive Topic Model. | Lan Du, Wray L. Buntine, Huidong Jin |
| 2012 | ICML | Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. | Changyou Chen, Nan Ding, Wray L. Buntine |
| 2009 | ACML | Estimating Likelihoods for Topic Models. | Wray L. Buntine |
| 2009 | ICDM | Kernel Conditional Quantile Estimation via Reduction Revisited. | Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibrio S. Caetano, Wray L. Buntine |
| 2009 | ICMLA | Exploring Scale-Induced Feature Hierarchies in Natural Images. | Jukka Perki, Tinne Tuytelaars, Wray L. Buntine |
| 2008 | CIKM | Natural language retrieval of grocery products. | Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, Patrik Floren, Joonas Kukkonen, Peter Peltonen |
| 2008 | SIGIR | Product retrieval for grocery stores. | Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, Patrik Floren, Joonas Kukkonen |
| 2005 | SIGIR | A temporally adaptive content-based relevance ranking algorithm. | Jukka Perki, Wray L. Buntine, Henry Tirri |
| 2004 | ILP | Automated Synthesis of Data Analysis Programs: Learning in Logic. | Wray L. Buntine |
| 2004 | UAI | Applying Discrete PCA in Data Analysis. | Wray L. Buntine, Aleks Jakulin |
| 2003 | AISTATS | Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction? | Wray L. Buntine, Sami Perttu |
| 2003 | AISTATS | Efficient Computing of Stochastic Complexity. | Petri Kontkanen, Wray L. Buntine, Petri Myllymki, Jorma Rissanen, Henry Tirri |
| 1999 | KDD | Towards Automated Synthesis of Data Mining Programs. | Wray L. Buntine, Bernd Fischer, Thomas Pressburger |
| 1998 | ICCD | Learning as applied to stochastic optimization for standard cell placement. | Lixin Su, Wray L. Buntine, A. Richard Newton, Bradley S. Peters |
| 1998 | KDD | Analysing Rock Samples for the Mars Lander. | Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse |
| 1997 | ICCAD | Adaptive methods for netlist partitioning. | Wray L. Buntine, Lixin Su, A. Richard Newton, Andrew Mayer |
| 1995 | KDD | Intelligent Instruments: Discovering How to Turn Spectral Data into Information. | Wray L. Buntine, Tarang Patel |
| 1995 | UAI | Chain graphs for learning. | Wray L. Buntine |
| 1991 | IJCAI | Classifiers: A Theoretical and Empirical Study. | Wray L. Buntine |
| 1991 | UAI | Some Properties of Plausible Reasoning. | Wray L. Buntine |
| 1991 | UAI | Theory Refinement on Bayesian Networks. | Wray L. Buntine |
| 1990 | AAAI | Myths and Legends in Learning Classification Rules. | Wray L. Buntine |
| 1989 | ICML | Learning Classification Rules Using Bayes. | Wray L. Buntine |
| 1989 | IJCAI | A Critique of the Valiant Model. | Wray L. Buntine |
| 1988 | ICML | Machine Invention of First Order Predicates by Inverting Resolution. | Stephen H. Muggleton, Wray L. Buntine |
| 1987 | UAI | Decision Tree Induction Systems: A Bayesian Analysis. | Wray L. Buntine |
| 1986 | ECAI | Generalised Subsumption and its Applications to Induction and Redundancy. | Wray L. Buntine |