Shitong Shao

Orcid: 0000-0003-4689-6140

According to our database¹, Shitong Shao authored at least 46 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data.

[BibT_eX]

[DOI]

CoRR, July, 2025

Distillation-Based Domain Generalization for Cross-Dataset EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework.

[BibT_eX]

[DOI]

CoRR, June, 2025

OD3: Optimization-free Dataset Distillation for Object Detection.

[BibT_eX]

[DOI]

CoRR, June, 2025

MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis.

[BibT_eX]

[DOI]

CoRR, March, 2025

CoRe<sup>2</sup>: Collect, Reflect and Refine to Generate Better and Faster.

[BibT_eX]

[DOI]

CoRR, March, 2025

MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice.

[BibT_eX]

[DOI]

CoRR, March, 2025

Spiking Spatiotemporal Neural Architecture Search for EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Prompt-Enhanced: Leveraging language representation for prompt continual learning.

[BibT_eX]

[DOI]

Neural Networks, 2025

IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

USMID: A Unimodal Speaker-Level Membership Inference Detector for Contrastive Pretraining.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2025

DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation.

[BibT_eX]

[DOI]

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

2024

MDDP: Making Decisions From Different Perspectives in Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Games, September, 2024

Attention-Based Intrinsic Reward Mixing Network for Credit Assignment in Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Games, June, 2024

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., May, 2024

2D-SNet: A Lightweight Network for Person Re-Identification on the Small Data Regime.

[BibT_eX]

[DOI]

IEEE Trans. Biom. Behav. Identity Sci., January, 2024

Generalized Contrastive Partial Label Learning for Cross-Subject EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Multi-perspective analysis on data augmentation in knowledge distillation.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Golden Noise for Diffusion Models: A Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2024

A Unimodal Speaker-Level Membership Inference Detector for Contrastive Pretraining.

[BibT_eX]

[DOI]

CoRR, 2024

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Alignment of Diffusion Models: Fundamentals, Challenges, and Future.

[BibT_eX]

[DOI]

CoRR, 2024

Self-supervised Dataset Distillation: A Good Compression Is All You Need.

[BibT_eX]

[DOI]

CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.

[BibT_eX]

[DOI]

CoRR, 2024

Precise Knowledge Transfer via Flow Matching.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Elucidating the Design Space of Dataset Condensation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion Models are Certifiably Robust Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MS-FRAN: A Novel Multi-Source Domain Adaptation Method for EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, November, 2023

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution.

[BibT_eX]

[DOI]

Neurocomputing, October, 2023

A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., September, 2023

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.

[BibT_eX]

[DOI]

CoRR, 2023

Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Teaching What You Should Teach: A Data-Based Distillation Method.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Learning What You Should Learn.

[BibT_eX]

[DOI]

CoRR, 2022

BiSMSM: A Hybrid MLP-Based Model of Global Self-Attention Processes for EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Bootstrap Generalization Ability from Loss Landscape Perspective.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

What Role Does Data Augmentation Play in Knowledge Distillation?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

Shitong Shao

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