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ORCIDShitong Shao
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2020 – today
- 2025
[j10]Wei Li
, Zhihao Zhu, Shitong Shao, Yao Lu, Aiguo Song:
Spiking Spatiotemporal Neural Architecture Search for EEG-Based Emotion Recognition. IEEE Trans. Instrum. Meas. 74: 1-14 (2025)- [i22]Hongwei Yi, Tian Ye, Shitong Shao, Xuancheng Yang, Jiantong Zhao, Hanzhong Guo, Terrance Wang, Qingyu Yin, Zeke Xie, Lei Zhu, Wei Li, Michael Lingelbach, Daquan Zhou:
MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice. CoRR abs/2503.05978 (2025) - [i21]Shitong Shao, Zikai Zhou, Dian Xie, Yuetong Fang, Tian Ye, Lichen Bai, Zeke Xie:
CoRe2: Collect, Reflect and Refine to Generate Better and Faster. CoRR abs/2503.09662 (2025) - [i20]Shitong Shao, Hongwei Yi, Hanzhong Guo, Tian Ye, Daquan Zhou, Michael Lingelbach, Zhiqiang Xu, Zeke Xie:
MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis. CoRR abs/2503.13319 (2025) - 2024
- [j9]Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou:
PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement. Int. J. Comput. Assist. Radiol. Surg. 19(5): 939-950 (2024) - [j8]Wei Li, Shitong Shao, Ziming Qiu, Aiguo Song:
Multi-perspective analysis on data augmentation in knowledge distillation. Neurocomputing 583: 127516 (2024) - [j7]Wei Li, Shitong Shao, Ziming Qiu, Zhihao Zhu, Aiguo Song:
2D-SNet: A Lightweight Network for Person Re-Identification on the Small Data Regime. IEEE Trans. Biom. Behav. Identity Sci. 6(1): 68-78 (2024) - [j6]Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang, Aiguo Song:
Attention-Based Intrinsic Reward Mixing Network for Credit Assignment in Multiagent Reinforcement Learning. IEEE Trans. Games 16(2): 270-281 (2024) - [j5]Wei Li, Ziming Qiu, Shitong Shao, Aiguo Song:
MDDP: Making Decisions From Different Perspectives in Multiagent Reinforcement Learning. IEEE Trans. Games 16(3): 621-634 (2024) - [j4]Wei Li, Lingmin Fan, Shitong Shao, Aiguo Song:
Generalized Contrastive Partial Label Learning for Cross-Subject EEG-Based Emotion Recognition. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c11]Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen:
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching. CVPR 2024: 16709-16718 - [c10]Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao:
Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search. ECCV (5) 2024: 56-73 - [c9]Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. IJCAI 2024: 5680-5688 - [c8]Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu:
Diffusion Models are Certifiably Robust Classifiers. NeurIPS 2024 - [c7]Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen:
Elucidating the Design Space of Dataset Condensation. NeurIPS 2024 - [i19]Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. CoRR abs/2401.11824 (2024) - [i18]Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai:
Precise Knowledge Transfer via Flow Matching. CoRR abs/2402.02012 (2024) - [i17]Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu:
Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR abs/2402.02316 (2024) - [i16]Muxin Zhou, Zeyuan Yin, Shitong Shao, Zhiqiang Shen:
Self-supervised Dataset Distillation: A Good Compression Is All You Need. CoRR abs/2404.07976 (2024) - [i15]Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen:
Elucidating the Design Space of Dataset Condensation. CoRR abs/2404.13733 (2024) - [i14]Buhua Liu, Shitong Shao, Bao Li, Lichen Bai, Zhiqiang Xu, Haoyi Xiong, James Kwok, Sumi Helal, Zeke Xie:
Alignment of Diffusion Models: Fundamentals, Challenges, and Future. CoRR abs/2409.07253 (2024) - [i13]Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiong, Zeke Xie:
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. CoRR abs/2410.04171 (2024) - [i12]Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Shitong Shao, Zhiqiang Wang:
A Unimodal Speaker-Level Membership Inference Detector for Contrastive Pretraining. CoRR abs/2410.18371 (2024) - [i11]Zikai Zhou, Shitong Shao, Lichen Bai, Zhiqiang Xu, Bo Han, Zeke Xie:
Golden Noise for Diffusion Models: A Learning Framework. CoRR abs/2411.09502 (2024) - [i10]Shitong Shao, Zikai Zhou, Tian Ye, Lichen Bai, Zhiqiang Xu, Zeke Xie:
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer. CoRR abs/2411.10781 (2024) - [i9]Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao:
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation. CoRR abs/2411.19946 (2024) - [i8]Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie:
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection. CoRR abs/2412.10891 (2024) - 2023
- [j3]Wei Li, Ye Tian, Bowen Hou, Jianzhang Dong, Shitong Shao, Aiguo Song:
A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition. Biomed. Signal Process. Control. 86(Part B): 105223 (2023) - [j2]Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo:
Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. Neurocomputing 554: 126592 (2023) - [j1]Wei Li, Wei Huan, Shitong Shao, Bowen Hou, Aiguo Song:
MS-FRAN: A Novel Multi-Source Domain Adaptation Method for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 27(11): 5302-5313 (2023) - [c6]Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu:
Teaching What You Should Teach: A Data-Based Distillation Method. IJCAI 2023: 1351-1359 - [c5]Wei Li, Bowen Hou, Shitong Shao, Wei Huan, Ye Tian:
Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition. IJCNN 2023: 1-8 - [i7]Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang:
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. CoRR abs/2302.09531 (2023) - [i6]Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, S. Kevin Zhou:
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models. CoRR abs/2304.13416 (2023) - [i5]Shuai Wang, Daoan Zhang, Zipei Yan, Shitong Shao, Rui Li:
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation. CoRR abs/2305.07881 (2023) - [i4]Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu:
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. CoRR abs/2305.10769 (2023) - [i3]Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen:
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching. CoRR abs/2311.17950 (2023) - 2022
- [c4]Wei Li, Shitong Shao, Weiyan Liu, Ziming Qiu, Zhihao Zhu, Wei Huan:
What Role Does Data Augmentation Play in Knowledge Distillation? ACCV (2) 2022: 507-525 - [c3]Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang:
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. ACML 2022: 579-594 - [c2]Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu:
Bootstrap Generalization Ability from Loss Landscape Perspective. ECCV Workshops (6) 2022: 500-517 - [c1]Wei Li, Ye Tian, Bowen Hou, Jianzhang Dong, Shitong Shao:
BiSMSM: A Hybrid MLP-Based Model of Global Self-Attention Processes for EEG-Based Emotion Recognition. ICANN (1) 2022: 37-48 - [i2]Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu:
Bootstrap Generalization Ability from Loss Landscape Perspective. CoRR abs/2209.08473 (2022) - [i1]Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu:
Learning What You Should Learn. CoRR abs/2212.05422 (2022)
Coauthor Index
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