Block-Skim: Efficient Question Answering for Transformer. - Yue Guan 003; Zhengyi Li 002; Zhouhan Lin; Yuhao Zhu 001; Jingwen Leng; Minyi Guo (AAAI, 2022)

Transkimmer: Transformer Learns to Layer-wise Skim. - Yue Guan 003; Zhengyi Li 002; Jingwen Leng; Zhouhan Lin; Minyi Guo (ACL (1), 2022)

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. - Zhengyi Li 002; Cong Guo 003; Zhanda Zhu; Yangjie Zhou 001; Yuxian Qiu; Xiaotian Gao; Jingwen Leng; Minyi Guo (CoRR, 2022)

Nimbus: Secure and Efficient Two-Party Inference for Transformers. - Zhengyi Li 002; Kang Yang 002; Jin Tan; Wen-jie Lu; Haoqi Wu; Xiao Wang 012; Yu Yu 001; Derun Zhao; Yancheng Zheng; Minyi Guo; Jingwen Leng (NeurIPS, 2024)

An Efficient Private GPT Never Autoregressively Decodes. - Zhengyi Li 002; Yue Guan 003; Kang Yang 002; Yu Feng 007; Ning Liu; Yu Yu 001; Jingwen Leng; Minyi Guo (CoRR, 2025)