He Zhao

Orcid: 0000-0003-0894-2265

Affiliations:

Monash University, Faculty of Information Technology, Melbourne, Australia (PhD 2019)

According to our database¹, He Zhao authored at least 81 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Prototype-Oriented Clean Subset Extraction for Noisy Long-Tailed Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2025

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data.

[BibT_eX]

[DOI]

CoRR, June, 2025

LLM Meeting Decision Trees on Tabular Data.

[BibT_eX]

[DOI]

CoRR, May, 2025

Direct Advantage Regression: Aligning LLMs with Online AI Reward.

[BibT_eX]

[DOI]

CoRR, April, 2025

Modality-Consistent Prompt Tuning With Optimal Transport.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Diverse Condensed Data Generation via Class Preserving Distribution Matching.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

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

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2025

DRL: Decomposed Representation Learning for Tabular Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Neural Topic Modeling with Large Language Models in the Loop.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs.

[BibT_eX]

[DOI]

CoRR, 2024

Rényi Neural Processes.

[BibT_eX]

[DOI]

Xuesong Wang

He Zhao

Edwin V. Bonilla

CoRR, 2024

Extracting Clean and Balanced Subset for Noisy Long-tailed Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Bayesian Factorised Granger-Causal Graphs For Multivariate Time-series Data.

[BibT_eX]

[DOI]

He Zhao

Edwin V. Bonilla

CoRR, 2024

Variational DAG Estimation via State Augmentation With Stochastic Permutations.

[BibT_eX]

[DOI]

CoRR, 2024

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Topic Model with Distance Awareness.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Transport for Structure Learning Under Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Contrastively enforcing distinctiveness for multi-label image classification.

[BibT_eX]

[DOI]

Neurocomputing, October, 2023

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Towards Generalising Neural Topical Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Directed Graphical Models with Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Neural Processes for Uncertainty Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Vector Quantized Wasserstein Auto-Encoder.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial local distribution regularization for knowledge distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NPCL: Neural Processes for Uncertainty-Aware Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Vector Quantized Wasserstein Auto-Encoder.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Transformed Distribution Matching for Missing Value Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Open-Vocabulary Multi-label Image Classification with Pretrained Vision-Language Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations.

[BibT_eX]

[DOI]

CoRR, 2022

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Label-Aware Autoregressive Framework for Cross-Domain NER.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Particle-based Adversarial Local Distribution Regularization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multi-Label Image Classification with Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Improved and Efficient Text Adversarial Attacks using Target Information.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Most: multi-source domain adaptation via optimal transport for student-teacher learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Topic Modelling Meets Deep Neural Networks: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Optimal Transport for Deep Generative Models: State of the Art and Research Challenges.

[BibT_eX]

[DOI]

Viet Huynh

Dinh Q. Phung

He Zhao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Neural Topic Model via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Neural Attention-Aware Hierarchical Topic Model.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Sinkhorn Topic Model.

[BibT_eX]

[DOI]

CoRR, 2020

MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models.

[BibT_eX]

[DOI]

CoRR, 2020

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling.

[BibT_eX]

[DOI]

Viet Huynh

He Zhao

Dinh Phung

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Adversarial Robustness by Enforcing Local and Global Compactness.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Variational Autoencoders for Sparse and Overdispersed Discrete Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Structured Bayesian Latent Factor Models with Meta-data.

[BibT_eX]

[DOI]

He Zhao

PhD thesis, 2019

Leveraging external information in topic modelling.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Autoencoders for Sparse and Overdispersed Discrete Data.

[BibT_eX]

[DOI]

CoRR, 2019

Leveraging Meta Information in Short Text Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Dirichlet belief networks for topic structure learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inter and Intra Topic Structure Learning with Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Leveraging Node Attributes for Incomplete Relational Data.

[BibT_eX]

[DOI]

He Zhao

Lan Du

Wray L. Buntine

Proceedings of the 34th International Conference on Machine Learning, 2017

MetaLDA: A Topic Model that Efficiently Incorporates Meta Information.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Word Embeddings Informed Focused Topic Model.

[BibT_eX]

[DOI]

He Zhao

Lan Du

Wray L. Buntine

Proceedings of The 9th Asian Conference on Machine Learning, 2017

He Zhao

Timeline

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