Shitong Shao

According to our database, Shitong Shao authored at least 35 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Wei Li, Zhihao Zhu, Shitong Shao, Yao Lu, Aiguo Song

IEEE Trans. Instrum. Meas., 2025

2024

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

Wei Li, Ziming Qiu, Shitong Shao, Aiguo Song

IEEE Trans. Games, September, 2024

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

Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang, Aiguo Song

IEEE Trans. Games, June, 2024

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

Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou

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

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

Wei Li, Shitong Shao, Ziming Qiu, Zhihao Zhu, Aiguo Song

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

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

Wei Li, Lingmin Fan, Shitong Shao, Aiguo Song

IEEE Trans. Instrum. Meas., 2024

Multi-perspective analysis on data augmentation in knowledge distillation.

Wei Li, Shitong Shao, Ziming Qiu, Aiguo Song

Neurocomputing, 2024

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

Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie

CoRR, 2024

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

Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao

CoRR, 2024

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

Shitong Shao, Zikai Zhou, Tian Ye, Lichen Bai, Zhiqiang Xu, Zeke Xie

CoRR, 2024

Golden Noise for Diffusion Models: A Learning Framework.

Zikai Zhou, Shitong Shao, Lichen Bai, Zhiqiang Xu, Bo Han, Zeke Xie

CoRR, 2024

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

Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Shitong Shao, Zhiqiang Wang

CoRR, 2024

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

Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiong, Zeke Xie

CoRR, 2024

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

Buhua Liu, Shitong Shao, Bao Li, Lichen Bai, Zhiqiang Xu, Haoyi Xiong, James Kwok, Sumi Helal, Zeke Xie

CoRR, 2024

Elucidating the Design Space of Dataset Condensation.

Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen

CoRR, 2024

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

Muxin Zhou, Zeyuan Yin, Shitong Shao, Zhiqiang Shen

CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.

Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

CoRR, 2024

Precise Knowledge Transfer via Flow Matching.

Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai

CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin

CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin

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

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

Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen

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.

Wei Li, Wei Huan, Shitong Shao, Bowen Hou, Aiguo Song

IEEE J. Biomed. Health Informatics, November, 2023

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

Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo

Neurocomputing, October, 2023

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

Wei Li, Ye Tian, Bowen Hou, Jianzhang Dong, Shitong Shao, Aiguo Song

Biomed. Signal Process. Control., September, 2023

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

Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu

CoRR, 2023

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

Shuai Wang, Daoan Zhang, Zipei Yan, Shitong Shao, Rui Li

CoRR, 2023

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

Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, S. Kevin Zhou

CoRR, 2023

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

Wei Li, Bowen Hou, Shitong Shao, Wei Huan, Ye Tian

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu

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

2022

Learning What You Should Learn.

Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu

CoRR, 2022

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

Wei Li, Ye Tian, Bowen Hou, Jianzhang Dong, Shitong Shao

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

Bootstrap Generalization Ability from Loss Landscape Perspective.

Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang

Proceedings of the Asian Conference on Machine Learning, 2022

What Role Does Data Augmentation Play in Knowledge Distillation?

Wei Li, Shitong Shao, Weiyan Liu, Ziming Qiu, Zhihao Zhu, Wei Huan

Proceedings of the Computer Vision - ACCV 2022, 2022