Neural Architecture Search in A Proxy Validation Loss Landscape. - Yanxi Li 001; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (ICML, 2020)

Adapting Neural Architectures Between Domains. - Yanxi Li 001; Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2020)

One-shot Graph Neural Architecture Search with Dynamic Search Space. - Yanxi Li 001; Zean Wen; Yunhe Wang 001; Chang Xu 002 (AAAI, 2021)

Prioritized Architecture Sampling With Monto-Carlo Tree Search. - Xiu Su; Tao Huang 020; Yanxi Li 001; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (CVPR, 2021)

Neural Architecture Dilation for Adversarial Robustness. - Yanxi Li 001; Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2021)

An Image Patch is a Wave: Phase-Aware Vision MLP. - Yehui Tang; Kai Han 002; Jianyuan Guo; Chang Xu 002; Yanxi Li 001; Chao Xu 006; Yunhe Wang 001 (CVPR, 2022)

Spatial-Channel Token Distillation for Vision MLPs. - Yanxi Li 001; Xinghao Chen 001; Minjing Dong; Yehui Tang; Yunhe Wang 001; Chang Xu 002 (ICML, 2022)

Neural architecture tuning with policy adaptation. - Yanxi Li 001; Minjing Dong; Yixing Xu; Yunhe Wang 001; Chang Xu 002 (Neurocomputing, 2022)

Neural Architecture Search for Wide Spectrum Adversarial Robustness. - Zhi Cheng; Yanxi Li 001; Minjing Dong; Xiu Su; Shan You; Chang Xu 002 (AAAI, 2023)

Trade-off between Robustness and Accuracy of Vision Transformers. - Yanxi Li 001; Chang Xu 002 (CVPR, 2023)

Stable Diffusion is Unstable. - Chengbin Du; Yanxi Li 001; Zhongwei Qiu; Chang Xu 002 (NeurIPS, 2023)

GPT Self-Supervision for a Better Data Annotator. - Xiaohuan Pei; Yanxi Li 001; Chang Xu 002 (CoRR, 2023)

Neural Architecture Search via Proxy Validation. - Yanxi Li 001; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Harnessing Edge Information for Improved Robustness in Vision Transformers. - Yanxi Li 001; Chengbin Du; Chang Xu 001 (AAAI, 2024)

Neural Architecture Retrieval. - Xiaohuan Pei; Yanxi Li 001; Minjing Dong; Chang Xu 002 (ICLR, 2024)

Understanding Robustness of Visual State Space Models for Image Classification. - Chengbin Du; Yanxi Li 001; Chang Xu 001 (CoRR, 2024)

Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction. - Yanxi Li 001; Chengbin Du (AAAI, 2025)

AI Scaling: From Up to Down and Out. - Yunke Wang; Yanxi Li 001; Chang Xu 002 (CoRR, 2025)

Adversarially Robust Neural Architectures. - Minjing Dong; Yanxi Li 001; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)