Shao, Shitong

12 publications

CVPR 2025 DELT: A Simple Diversity-Driven EarlyLate Training for Dataset Distillation Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao

ICCV 2025 Golden Noise for Diffusion Models: A Learning Framework Zikai Zhou, Shitong Shao, Lichen Bai, Shufei Zhang, Zhiqiang Xu, Bo Han, Zeke Xie

ICLR 2025 IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis Shitong Shao, Zikai Zhou, Bai LiChen, Haoyi Xiong, Zeke Xie

ICLR 2025 Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection Bai LiChen, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie

ECCV 2024 Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao

NeurIPS 2024 Diffusion Models Are Certifiably Robust Classifiers Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

NeurIPS 2024 Elucidating the Design Space of Dataset Condensation Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen

CVPR 2024 Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen

IJCAI 2024 Rethinking Centered Kernel Alignment in Knowledge Distillation Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin

IJCAI 2023 Teaching What You Should Teach: A Data-Based Distillation Method Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu

ACML 2022 AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang

ECCVW 2022 Bootstrap Generalization Ability from Loss Landscape Perspective Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu