Author

Yintao He

Observed name: He, Yintao

Institutions: Duke University, Chinese Academy of Sciences, Institute of Computing Technology, University of Chinese Academy of Sciences

Observed institutions: Duke University, Chinese Academy of Sciences, North China University of Water Resources and Electric Power, Institute of Computing Technology, University of Chinese Academy of Sciences, State Key Laboratory of Computer Architecture

ORCID: 0000-0003-3054-0617

Observed ORCID: 0000-0003-3054-0617

OpenAlex ID: A5090389605

PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System

2025 · Yintao He, Haiyu Mao, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 40

Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning

2022 · Zhixiao Zhang, Bo Wang, et al. · Processes · 20

PDF

CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators

2024 · Songyun Qu, Shixin Zhao, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 14

An Agile Precision-Tunable CNN Accelerator based on ReRAM

2019 · Yintao He, Ying Wang, et al. · 13

TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning

2021 · Yintao He, Ying Wang, et al. · ACM/IEEE Design Automation Conference (DAC) · 12

AmgR: Algebraic Multigrid Accelerated on ReRAM

2023 · Mingjia Fan, Xiaotian Tian, et al. · ACM/IEEE Design Automation Conference (DAC) · 10

InfoX

2022 · Yintao He, Songyun Qu, et al. · ACM/IEEE Design Automation Conference (DAC) · 9

PDF

On-Line Fault Protection for ReRAM-Based Neural Networks

2022 · Wen Li, Ying Wang, et al. · IEEE Transactions on Computers · 9

Towards State-Aware Computation in ReRAM Neural Networks

2020 · Yintao He, Ying Wang, et al. · ACM/IEEE Design Automation Conference (DAC) · 9

Case studies of the load-bearing performance of shield tunnel segment with misaligned defects

2024 · Fenglan Li, Pengcheng Si, et al. · Scientific Reports · 7

A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks

2024 · Yintao He, Bing Li, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 7

Numerical Analysis of the Single-Directionally Misaligned Segment Behavior of Hydraulic TBM Tunnel

2024 · Fenglan Li, Pengcheng Si, et al. · Buildings · 6

Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration

2024 · Lian Liu, Zhaohui Xu, et al. · ACM/IEEE Design Automation Conference (DAC) · 5

A Fast Precision Tuning Solution for Always-On DNN Accelerators

2021 · Ying Wang, Yintao He, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 5

Case study of the impacts of pea-gravel grouting defects on loading responses of TBM tunnel segment lining with different surrounding rocks

2025 · Yintao He, Changyong Li, et al. · Results in Engineering · 4

Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing

2021 · Yintao He, Ying Wang, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 4

Circuits to Systems: Codesigning Efficient AI Hardware

2025 · Yiran Chen, Cong Guo, et al. · IEEE Design and Test · 2

A Case Study of Systemic Risk Assessment for the Operational Safety of a Long-Distance Water Delivery Tunnel

2025 · Pengcheng Si, Changyong Li, et al. · Processes · 2

PDF

Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators

2025 · Shixin Zhao, Yuming Li, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 2

The “BOOT+BTO” operation mode of the comprehensive utilization of water conservancy project

2023 · Zhiyong Li, Zhixiao Zhang, et al. · Desalination and Water Treatment · 2

PDF

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration

2026 · Xueying Wu, Baijun Zhou, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 1

PDF

Vortex: Bridging Extreme Compression and Efficient LLM Inference

2026 · Haoxuan Shan, Cong Guo, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

3D-MoE: Complementarity-Guided Hardware-Software Co-Design for MoE Decode on 3D-Stacked NMP

2026 · Pan, Yudong, Liu, Lian, et al. · arXiv (Cornell University)

PDF

A Shape-Adaptive Architecture with Disaggregated Quantization for Efficient LLM Serving