Towards State-Aware Computation in ReRAM Neural Networks. - Yintao He; Ying Wang 001; Xiandong Zhao; Huawei Li 001; Xiaowei Li 001 (DAC, 2020)

RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. - Songyun Qu; Bing Li 017; Ying Wang 001; Dawen Xu 002; Xiandong Zhao; Lei Zhang 008 (DAC, 2020)

BitPruner: Network Pruning for Bit-serial Accelerators. - Xiandong Zhao; Ying Wang 001; Cheng Liu 008; Cong Shi 003; Kaijie Tu; Lei Zhang 008 (DAC, 2020)

Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware. - Xiandong Zhao; Ying Wang 001; Xuyi Cai; Cheng Liu 008; Lei Zhang 008 (ICLR, 2020)

MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design. - Mengdi Wang; Bing Li 017; Ying Wang 001; Cheng Liu 008; Xiaohan Ma; Xiandong Zhao; Lei Zhang 008 (ACM Great Lakes Symposium on VLSI, 2021)

Network Pruning for Bit-Serial Accelerators. - Xiandong Zhao; Ying Wang 001; Cheng Liu 008; Cong Shi 003; Kaijie Tu; Lei Zhang 008 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism. - Guanchen Li; Xiandong Zhao; Lian Liu; Zeping Li; Dong Li 025; Lu Tian; Jie He; Ashish Sirasao; Emad Barsoum (CoRR, 2024)

An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference. - Lian Liu; Ying Wang 001; Xiandong Zhao; Weiwei Chen; Huawei Li 001; Xiaowei Li 001; Yinhe Han 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism. - Guanchen Li; Xiandong Zhao; Lian Liu; Zeping Li; Yixing Xu; Dong Li 025; Lu Tian; Jie He; Ashish Sirasao; Emad Barsoum (COLING, 2025)