(AAAI 2026, Acceptance Rate: 17.6%) Qi Fan, An Zou, and Yehan Ma. “TimeBill: Time-Budgeted Inference for Large Language Models..” In the 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26) 2026.
(DATE 2026, Acceptance Rate: 25%) Yingtao Shen, Yinchen Ni, Jiace Zhu, Jie Zhao and An Zou. “Compression Space Search: RL-Based Combinational Compression for Neural Networks.” In 2026 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1-6. IEEE, 2026
(TCAD 2025) Yingtao Shen, Xiangjie Li, Yehan Ma, Weidong Cao, Jie Zhao, An Zou. ‘LEAP: Light Weighting Neural Network Inference through Proactive Early Exiting Prediction.” In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
(DAC 2023, Acceptance Rate: 23%) Xiangjie Li*, Yingtao Shen*, An Zou, Yehan Ma. “EENet: Energy Efficient Neural Networks with Run-time Power Management.” In 2023 60th ACM/ESDA/IEEE Design Automation Conference (DAC), pp. 1-6. IEEE, 2023.
(AAAI 2023 Oral Presentation Paper, Acceptance Rate: 10.8%) Li, Xiangjie, Chenfei Lou, Zhengping Zhu, Yuchi Chen, Yingtao Shen, Yehan Ma, and An Zou. “Predictive Exit: Prediction of Fine-Grained Early Exits for Computation-and Energy-Efficient Inference.” Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), 2023.