Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference. - Xiangjie Li; Chenfei Lou; Yuchi Chen; Zhengping Zhu; Yingtao Shen; Yehan Ma; An Zou (AAAI, 2023)

EENet: Energy Efficient Neural Networks with Run-time Power Management. - Xiangjie Li; Yingtao Shen; An Zou; Yehan Ma (DAC, 2023)

Chain of Compression: A Systematic Approach to Combinationally Compress Convolutional Neural Networks. - Yingtao Shen; Minqing Sun; Jie Zhao; An Zou (CoRR, 2024)

Path-Consistency: Prefix Enhancement for Efficient Inference in LLM. - Jiace Zhu; Yingtao Shen; Jie Zhao; An Zou (CoRR, 2024)

SSMDVFS: Microsecond-Scale DVFS on GPGPUs with Supervised and Self-Calibrated ML. - Minqing Sun; Ruiqi Sun; Yingtao Shen; Wei Yan; Qinfen Hao; An Zou (DATE, 2025)