Shitong Shao

According to our database, Shitong Shao authored at least 18 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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

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

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

CoRR, 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, 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