Shiyu Li - RankMe

33 papers A* 9A 2B 1C 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient and Robust Edge AI: Software, Hardware, and the Co-design. ACM Trans. Embed. Comput. Syst. Bokyung Kim, Shiyu Li, Brady Taylor, Yiran Chen
2025	A*	`conf`	Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. HPCA Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. CoRR Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen
2024	J	`jnl`	A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao (Frank) Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen
2024	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
2024	—	`conf`	CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
2024	J	`jnl`	CSCO: Connectivity Search of Convolutional Operators. CoRR Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
2024	C	`conf`	Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration. ISCAS Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai (Helen) Li
2024	J	`jnl`	NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models. IEEE Trans. Computers Shiyu Li, Yitu Wang, Edward Hanson, Andrew Chang, Yang-Seok Ki, Hai Li, Yiran Chen
2024	A*	`conf`	NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. ISCA Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen
2024	—	`conf`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen
2023	A*	`conf`	Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. DAC Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li
2023	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
2023	J	`jnl`	DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen
2023	J	`jnl`	EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference. ACM Trans. Embed. Comput. Syst. Yitu Wang, Shiyu Li, Qilin Zheng, Andrew Chang, Hai Li, Yiran Chen
2023	A*	`conf`	INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. HPCA Bokyung Kim, Shiyu Li, Hai Li
2023	—	`conf`	Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design. ASP-DAC Xiaoxuan Yang, Shiyu Li, Qilin Zheng, Yiran Chen
2023	J	`jnl`	In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. CoRR Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen
2023	A	`conf`	PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. ICCAD Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie
2023	J	`jnl`	PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. CoRR Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie
2023	A*	`conf`	Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. MICRO Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen
2023	J	`jnl`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen
2022	A*	`conf`	Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. ISCA Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen
2022	A	`conf`	DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters. ICCAD Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu
2022	J	`jnl`	Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Trans. Circuits Syst. II Express Briefs Brady Taylor, Qilin Zheng, Ziru Li, Shiyu Li, Yiran Chen
2021	A*	`conf`	ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. MICRO Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen
2021	A*	`conf`	NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen
2020	J	`jnl`	NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen
2020	A*	`conf`	PENNI: Pruned Kernel Sharing for Efficient CNN Inference. ICML Shiyu Li, Edward Hanson, Hai Li, Yiran Chen
2020	J	`jnl`	PENNI: Pruned Kernel Sharing for Efficient CNN Inference. CoRR Shiyu Li, Edward Hanson, Hai Li, Yiran Chen
2019	J	`jnl`	SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. CoRR Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen
2019	B	`conf`	Towards Decentralized Deep Learning with Differential Privacy. CLOUD Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen
2018	J	`jnl`	LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. CoRR Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen