Tao He

Orcid: 0000-0001-5152-1824

Affiliations:
  • Monash University, Clayton, VIC, Australia


According to our database1, Tao He authored at least 61 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems.
CoRR, May, 2026

Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
CoRR, May, 2026

Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space.
CoRR, May, 2026

Understanding learners' collaborative reflection in an online learning community: a consideration of cognitive and social interactions.
Educ. Inf. Technol., April, 2026

Can We Build Scene Graphs, Not Classify Them? FlowSG: Progressive Image-Conditioned Scene Graph Generation with Flow Matching.
CoRR, April, 2026

One Model, Two Minds: Task-Conditioned Reasoning for Unified Image Quality and Aesthetic Assessment.
CoRR, March, 2026

4DPC<sup>2</sup>hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping.
CoRR, February, 2026

Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility.
CoRR, February, 2026

An Explicit-Thinking LLM-Based Cognitive Apprenticeship Approach to Promote Students' Metacognition, Higher Order Thinking Skills, and Learning Performance.
IEEE Trans. Learn. Technol., 2026

Lifelong scene graph generation.
Pattern Recognit., 2026

Anchor Drift No More: Hierarchical Consistency-Guided Prompt Distillation for Incomplete Multimodal Learning.
Proceedings of the ACM Web Conference 2026, 2026

Weather-Aware Dual-Stage Pseudo-Labeling for Unsupervised Domain Adaptive Object Detection.
Proceedings of the 2026 9th International Conference on Software Engineering and Information Management, 2026

Causality Matters: Temporal Causal-Aware Reasoning for Multimodal Learning under Missing Modalities.
Proceedings of the 2026 9th International Conference on Software Engineering and Information Management, 2026

TiCAL: Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SciEducator: Scientific Video Understanding and Educating via Deming-Cycle Multi-Agent System.
CoRR, November, 2025

TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition.
CoRR, November, 2025

CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

A unified cross-source context enhancement model for multi-source fake news detection.
Knowl. Based Syst., 2025

Customising a Three-Stage Fade-Out Scaffolding for Collaborative Programming Learning: Effects on Programming Achievement, Self-Efficacy and Programming Behaviour.
J. Comput. Assist. Learn., 2025

VQA and Visual Reasoning: An overview of approaches, datasets, and future direction.
Neurocomputing, 2025

Unbiased multimodal intent recognition with auxiliary rationale generation.
Neurocomputing, 2025

How does social support detected automatically in discussion forums relate to online learning burnout? The moderating role of students' self-regulated learning.
Comput. Educ., 2025

Identifying students' metacognition patterns by their needs for cognitive closure in human-GenAI collaboration.
Comput. Educ., 2025

Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering.
Big Data Min. Anal., 2025

Fine-grained Block Pruning with Tiny Sets for Vision Transformers.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

MBCQ: Mixed-bias compensation quantization for extremely low-bit post-training quantization.
Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

SPADE: Spatial-Aware Denoising Network for Open-Vocabulary Panoptic Scene Graph Generation with Long- and Local-Range Context Reasoning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Unbiased Missing-Modality Multimodal Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Unbiased Multimodal Audio-to-Intent Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

KMG-LL: Knowledge-enhanced Multimodal Graph for Dialogue Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality.
CoRR, 2024

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning.
CoRR, 2024

Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Semisupervised Network Embedding With Differentiable Deep Quantization.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation.
Inf. Sci., June, 2023

Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection.
IEEE Trans. Image Process., 2023

State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation.
IEEE Trans. Image Process., 2023

Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection.
CoRR, 2023

2022
Towards Unbiased Scene Graph Generation: Techniques and Applications.
PhD thesis, 2022

Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person-centered approach.
Educ. Inf. Technol., 2022

Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Unsupervised Domain-adaptive Hash for Networks.
CoRR, 2021

Semi-supervised Network Embedding with Differentiable Deep Quantisation.
CoRR, 2021

Semantic Compositional Learning for Low-shot Scene Graph Generation.
CoRR, 2021

Exploring students' digital informal learning: the roles of digital competence and DTPB factors.
Behav. Inf. Technol., 2021

Exploiting Scene Graphs for Human-Object Interaction Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK.
Proceedings of the Blended Learning: Re-thinking and Re-defining the Learning Process., 2021

2020
Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement.
Telematics Informatics, 2020

Exam paper generation based on performance prediction of student group.
Inf. Sci., 2020

Unified Binary Generative Adversarial Network for Image Retrieval and Compression.
Int. J. Comput. Vis., 2020

Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network.
CoRR, 2019

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Deep Region Hashing for Generic Instance Search from Images.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Binary Generative Adversarial Networks for Image Retrieval.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Region Hashing for Efficient Large-scale Instance Search from Images.
CoRR, 2017

Deep Discrete Hashing with Self-supervised Pairwise Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


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