What Role Does Data Augmentation Play in Knowledge Distillation? - Wei Li 049; Shitong Shao; Weiyan Liu; Ziming Qiu; Zhihao Zhu; Wei Huan (ACCV (2), 2022)

AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. - Wei Li 049; Weiyan Liu; Shitong Shao; Shiyi Huang (ACML, 2022)

Bootstrap Generalization Ability from Loss Landscape Perspective. - Huanran Chen; Shitong Shao; Ziyi Wang; Zirui Shang; Jin Chen 009; Xiaofeng Ji; Xinxiao Wu (ECCV Workshops (6), 2022)

BiSMSM: A Hybrid MLP-Based Model of Global Self-Attention Processes for EEG-Based Emotion Recognition. - Wei Li 049; Ye Tian 034; Bowen Hou; Jianzhang Dong; Shitong Shao (ICANN (1), 2022)

Learning What You Should Learn. - Shitong Shao; Huanran Chen; Zhen Huang 007; Linrui Gong; Shuai Wang 048; Xinxiao Wu (CoRR, 2022)

Teaching What You Should Teach: A Data-Based Distillation Method. - Shitong Shao; Huanran Chen; Zhen Huang 007; Linrui Gong; Shuai Wang 048; Xinxiao Wu (IJCAI, 2023)

Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition. - Wei Li 049; Bowen Hou; Shitong Shao; Wei Huan; Ye Tian 034 (IJCNN, 2023)

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models. - Shitong Shao; Xiaohan Yuan; Zhen Huang 007; Ziming Qiu; Shuai Wang 048; S. Kevin Zhou (CoRR, 2023)

Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation. - Shuai Wang 048; Daoan Zhang; Zipei Yan; Shitong Shao; Rui Li (CoRR, 2023)

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. - Shitong Shao; Xu Dai; Shouyi Yin; Lujun Li 001; Huanran Chen; Yang Hu 001 (CoRR, 2023)

A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition. - Wei Li 049; Ye Tian 034; Bowen Hou; Jianzhang Dong; Shitong Shao; Aiguo Song (Biomed. Signal Process. Control., 2023)

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. - Jiao Xie; Linrui Gong; Shitong Shao; Shaohui Lin; Linkai Luo (Neurocomputing, 2023)

MS-FRAN: A Novel Multi-Source Domain Adaptation Method for EEG-Based Emotion Recognition. - Wei Li 049; Wei Huan; Shitong Shao; Bowen Hou; Aiguo Song (IEEE J. Biomed. Health Informatics, 2023)

Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching. - Shitong Shao; Zeyuan Yin 001; Muxin Zhou; Xindong Zhang; Zhiqiang Shen (CVPR, 2024)

Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search. - Haosen Sun; Lujun Li 001; Peijie Dong; Zimian Wei; Shitong Shao (ECCV (5), 2024)

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

Diffusion Models are Certifiably Robust Classifiers. - Huanran Chen; Yinpeng Dong; Shitong Shao; Zhongkai Hao; Xiao Yang; Hang Su 006; Jun Zhu 001 (NeurIPS, 2024)

Elucidating the Design Space of Dataset Condensation. - Shitong Shao; Zikai Zhou; Huanran Chen; Zhiqiang Shen (NeurIPS, 2024)

Rethinking Centered Kernel Alignment in Knowledge Distillation. - Zikai Zhou; Yunhang Shen; Shitong Shao; Huanran Chen; Linrui Gong; Shaohui Lin (CoRR, 2024)

Precise Knowledge Transfer via Flow Matching. - Shitong Shao; Zhiqiang Shen; Linrui Gong; Huanran Chen; Xu Dai (CoRR, 2024)

Your Diffusion Model is Secretly a Certifiably Robust Classifier. - Huanran Chen; Yinpeng Dong; Shitong Shao; Zhongkai Hao; Xiao Yang; Hang Su 006; Jun Zhu 001 (CoRR, 2024)

Self-supervised Dataset Distillation: A Good Compression Is All You Need. - Muxin Zhou; Zeyuan Yin 001; Shitong Shao; Zhiqiang Shen (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)

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. - Shitong Shao; Zikai Zhou; Lichen Bai; Haoyi Xiong; 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)

Golden Noise for Diffusion Models: A Learning Framework. - Zikai Zhou; Shitong Shao; Lichen Bai; Zhiqiang Xu; Bo Han; Zeke Xie (CoRR, 2024)

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer. - Shitong Shao; Zikai Zhou; Tian Ye 001; Lichen Bai; Zhiqiang Xu; Zeke Xie (CoRR, 2024)

Multi-perspective analysis on data augmentation in knowledge distillation. - Wei Li 049; Shitong Shao; Ziming Qiu; Aiguo Song (Neurocomputing, 2024)

Generalized Contrastive Partial Label Learning for Cross-Subject EEG-Based Emotion Recognition. - Wei Li 049; Lingmin Fan; Shitong Shao; Aiguo Song (IEEE Trans. Instrum. Meas., 2024)

2D-SNet: A Lightweight Network for Person Re-Identification on the Small Data Regime. - Wei Li 049; Shitong Shao; Ziming Qiu; Zhihao Zhu; Aiguo Song (IEEE Trans. Biom. Behav. Identity Sci., 2024)

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement. - Zhen Huang 007; Han Li; Shitong Shao; Heqin Zhu; Huijie Hu; Zhiwei Cheng; Jianji Wang 003; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2024)

Attention-Based Intrinsic Reward Mixing Network for Credit Assignment in Multiagent Reinforcement Learning. - Wei Li 049; Weiyan Liu; Shitong Shao; Shiyi Huang; Aiguo Song (IEEE Trans. Games, 2024)

MDDP: Making Decisions From Different Perspectives in Multiagent Reinforcement Learning. - Wei Li 049; Ziming Qiu; Shitong Shao; Aiguo Song (IEEE Trans. Games, 2024)

DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation. - Zhiqiang Shen; Ammar Sherif; Zeyuan Yin 001; Shitong Shao (CVPR, 2025)

USMID: A Unimodal Speaker-Level Membership Inference Detector for Contrastive Pretraining. - Ruoxi Cheng; Yizhong Ding; Shuirong Cao; Shitong Shao; Zhiqiang Wang (ICASSP Workshops, 2025)

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 (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)

Prompt-Enhanced: Leveraging language representation for prompt continual learning. - Wei Li 049; Dezhi Li; Shitong Shao; Kaizhu Huang; Zhen Lei 001 (Neural Networks, 2025)

Spiking Spatiotemporal Neural Architecture Search for EEG-Based Emotion Recognition. - Wei Li 049; Zhihao Zhu; Shitong Shao; Yao Lu 008; Aiguo Song (IEEE Trans. Instrum. Meas., 2025)

MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice. - Hongwei Yi; Tian Ye 001; Shitong Shao; Xuancheng Yang; Jiantong Zhao; Hanzhong Guo; Terrance Wang; Qingyu Yin; Zeke Xie; Lei Zhu 003; Wei Li 049; Michael Lingelbach; et al. (CoRR, 2025)

CoRe2: Collect, Reflect and Refine to Generate Better and Faster. - Shitong Shao; Zikai Zhou; Dian Xie; Yuetong Fang; Tian Ye 001; Lichen Bai; Zeke Xie (CoRR, 2025)

MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis. - Shitong Shao; Hongwei Yi; Hanzhong Guo; Tian Ye 001; Daquan Zhou; Michael Lingelbach; Zhiqiang Xu; Zeke Xie (CoRR, 2025)

OD3: Optimization-free Dataset Distillation for Object Detection. - Salwa K. Al Khatib; Ahmed Elhagry; Shitong Shao; Zhiqiang Shen (CoRR, 2025)

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework. - Sixiang Chen; Jianyu Lai; Jialin Gao; Tian Ye 001; Haoyu Chen 003; Hengyu Shi; Shitong Shao; Yunlong Lin; Song Fei; Zhaohu Xing; Yeying Jin; Junfeng Luo; et al. (CoRR, 2025)

Distillation-Based Domain Generalization for Cross-Dataset EEG-Based Emotion Recognition. - Wei Li 049; Siyi Wang; Shitong Shao; Kaizhu Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data. - Rui Huang; Shitong Shao; Zikai Zhou; Pukun Zhao; Hangyu Guo; Tian Ye 001; Lichen Bai; Shuo Yang; Zeke Xie (CoRR, 2025)