Adaptive Reactive Power Control of PV Power Plants for Improved Power Transfer Capability Under Ultra-Weak Grid Conditions. - Dongsheng Yang 003; Xiongfei Wang; Fangcheng Liu; Kai Xin; Yunfeng Liu; Frede Blaabjerg (IEEE Trans. Smart Grid, 2019)

Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking. - Kai Han 002; Jinho Lee; Lang Huang 001; Fangcheng Liu; Seiichi Uchida; Chao Zhang 001 (ICSI (2), 2021)

Unrestricted Adversarial Attacks on ImageNet Competition. - Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; Chao Li; Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; et al. (CoRR, 2021)

Towards Transferable Unrestricted Adversarial Examples with Minimum Changes. - Fangcheng Liu; Chao Zhang 001; Hongyang Zhang 001 (SaTML, 2023)

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. - Yunhe Wang 001; Hanting Chen; Yehui Tang; Tianyu Guo 001; Kai Han 002; Ying Nie; Xutao Wang; Hailin Hu 002; Zheyuan Bai; Yun Wang; Fangcheng Liu; Zhicheng Liu 001; et al. (CoRR, 2023)

Rethinking Optimization and Architecture for Tiny Language Models. - Yehui Tang; Kai Han 002; Fangcheng Liu; Yunsheng Ni; Yuchuan Tian; Zheyuan Bai; Yi-Qi Hu; Sichao Liu; Shangling Jui; Yunhe Wang 001 (ICML, 2024)

Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting. - Fangcheng Liu; Yehui Tang; Zhenhua Liu 003; Yunsheng Ni; Duyu Tang; Kai Han 002; Yunhe Wang 001 (NeurIPS, 2024)

Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. - Fangcheng Liu; Yehui Tang; Zhenhua Liu 003; Yunsheng Ni; Kai Han 002; Yunhe Wang 001 (CoRR, 2024)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. - Yehui Tang; Xiaosong Li; Fangcheng Liu; Wei Guo 006; Hang Zhou; Yaoyuan Wang; Kai Han 002; Xianzhi Yu; Jinpeng Li 004; Hui Zang; Fei Mi; Xiaojun Meng; et al. (CoRR, 2025)