LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Feng Yan 001; Shiyu Li 001; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

Towards Decentralized Deep Learning with Differential Privacy. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Syed Zawad; Feng Yan 001; Shiyu Li 001; Hai Helen Li; Yiran Chen 001 (CLOUD, 2019)

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. - Hsin-Pai Cheng; Tunhou Zhang; Yukun Yang 001; Feng Yan 001; Shiyu Li 001; Harris Teague; Hai Helen Li; Yiran Chen 001 (CoRR, 2019)

PENNI: Pruned Kernel Sharing for Efficient CNN Inference. - Shiyu Li 001; Edward Hanson; Hai Li 001; Yiran Chen 001 (ICML, 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Shiyu Li 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Helen Li; Yiran Chen 001 (CoRR, 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Yixing Zhang; Shiyu Li 001; Feng Liang 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Li 001; Yiran Chen 001 (AAAI, 2021)

ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. - Shiyu Li 001; Edward Hanson; Xuehai Qian; Hai (Helen) Li; Yiran Chen 001 (MICRO, 2021)

DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters. - Zhiyao Xie; Shiyu Li 001; Mingyuan Ma; Chen-Chia Chang; Jingyu Pan; Yiran Chen 001; Jiang Hu (ICCAD, 2022)

Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. - Edward Hanson; Shiyu Li 001; Hai Helen Li; Yiran Chen 001 (ISCA, 2022)

Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. - Brady Taylor; Qilin Zheng; Ziru Li; Shiyu Li 001; Yiran Chen 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design. - Xiaoxuan Yang 001; Shiyu Li 001; Qilin Zheng; Yiran Chen 001 (ASP-DAC, 2023)

Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. - Qilin Zheng; Shiyu Li 001; Yitu Wang; Ziru Li; Yiran Chen 001; Hai Helen Li (DAC, 2023)

INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. - Bokyung Kim; Shiyu Li 001; Hai Li 001 (HPCA, 2023)

PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. - Qijun Zhang; Shiyu Li 001; Guanglei Zhou; Jingyu Pan; Chen-Chia Chang; Yiran Chen 001; Zhiyao Xie (ICCAD, 2023)

Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. - Edward Hanson; Shiyu Li 001; Guanglei Zhou; Feng Cheng; Yitu Wang; Rohan Bose; Hai Li 001; Yiran Chen 001 (MICRO, 2023)

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. - Yitu Wang; Shiyu Li 001; Qilin Zheng; Linghao Song; Zongwang Li; Andrew Chang; Hai (Helen) Li; Yiran Chen 001 (CoRR, 2023)

DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. - Edward Hanson; Shiyu Li 001; Xuehai Qian; Hai Helen Li; Yiran Chen 001 (IEEE Trans. Computers, 2023)

EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference. - Yitu Wang; Shiyu Li 001; Qilin Zheng; Andrew Chang; Hai Li 001; Yiran Chen 001 (ACM Trans. Embed. Comput. Syst., 2023)

CSCO: Connectivity Search of Convolutional Operators. - Tunhou Zhang; Shiyu Li 001; Hsin-Pai Cheng; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2024)

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. - Yitu Wang; Shiyu Li 001; Qilin Zheng; Linghao Song; Zongwang Li; Andrew Chang; Hai Li 001; Yiran Chen 001 (ISCA, 2024)

Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration. - Qilin Zheng; Shiyu Li 001; Yitu Wang; Ziru Li; Yiran Chen 001; Hai (Helen) Li (ISCAS, 2024)

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. - Zhixu Du; Shiyu Li 001; Yuhao Wu; Xiangyu Jiang; Jingwei Sun 002; Qilin Zheng; Yongkai Wu; Ang Li 005; Hai Li 001; Yiran Chen 001 (MLSys, 2024)

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. - Cong Guo 003; Feng Cheng; Zhixu Du; James Kiessling; Jonathan Ku; Shiyu Li 001; Ziru Li; Mingyuan Ma; Tergel Molom-Ochir; Benjamin Morris 004; Haoxuan Shan; Jingwei Sun 002; et al. (CoRR, 2024)

NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models. - Shiyu Li 001; Yitu Wang; Edward Hanson; Andrew Chang; Yang-Seok Ki; Hai Li 001; Yiran Chen 001 (IEEE Trans. Computers, 2024)

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. - Xueying Wu; Edward Hanson; Nansu Wang; Qilin Zheng; Xiaoxuan Yang 001; Huanrui Yang; Shiyu Li 001; Feng Cheng; Partha Pratim Pande; Janardhan Rao Doppa; Krishnendu Chakrabarty; Hai Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. - Chiyue Wei; Cong Guo 003; Feng Cheng; Shiyu Li 001; Hao (Frank) Yang; Hai Helen Li; Yiran Chen 001 (HPCA, 2025)

Efficient and Robust Edge AI: Software, Hardware, and the Co-design. - Bokyung Kim; Shiyu Li 001; Brady Taylor; Yiran Chen 001 (ACM Trans. Embed. Comput. Syst., 2025)