About Me

Hi! I am Yintao He (何银涛). I am a Postdoctoral Associate at Duke University, working with Prof. Yiran Chen and Prof. Hai (Helen) Li.

I obtained my Ph.D. at the Institute of Computing Technology, Chinese Academy of Sciences, advised by Prof. Huawei Li and Prof. Ying Wang. I was a visiting PhD researcher at the Department of Information Technology and Electrical Engineering, ETH Zurich, working with Prof. Onur Mutlu.

I have been awarded the Special Prize of President Scholarship of the Chinese Academy of Sciences (CAS), which is known as the highest award for postgraduate students in CAS.

Know more about me: Google scholar linkedin

News

• 2026.02: 🎉Two papers were accepected to DAC 2026.
• 2026.01: 🎉One paper was accepted to ICLR 2026.

Publications

• [ASPLOS’25] Yintao He, Haiyu Mao, Christina Giannoula, Mohammad Sadrosadati, Juan Gómez-Luna, Huawei Li, Xiaowei Li, Ying Wang, Onur Mutlu, “PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System”, in International Conference on Architectural Support for Programming Languages and Operating Systems, 2025.
• [TCAD] Yintao He, Bing Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, “A Task-Adaptive in-situ ReRAM Computing for Graph Convolutional Networks”, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024.(CCF-A) [paper]
• [DATE’24] Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang, “Bit-Trimmer: Ineffectual Bit-operation Removal for CIM Architecture,” in Design, Automation and Test in Europe Conference, 2024.
• [DAC’22] Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li, “InfoX: An Energy-Efficient ReRAM Accelerator Design with Information-Lossless Low-Bit ADCs,” in IEEE/ACM Proceedings of Design, Automation Conference, 2022.(CCF-A) [paper]
• [TCAD] Yintao He, Ying Wang, Huawei Li, Xiaowei Li, “Saving Energy of RRAM-based Neural Accelerator through State-Aware Computing,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021.(CCF-A) [paper]
• [DAC’21] Yintao He, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, “TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning,” in IEEE/ACM Proceedings of Design, Automation Conference, 2021.(CCF-A, Acceptance Rate: 215/916 = 23.5%) [paper]
• [DAC’20] Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li, “Towards State-Aware Computation in ReRAM Neural Networks,” in IEEE/ACM Proceedings of Design, Automation Conference, 2020.(CCF-A, Acceptance Rate: 228/991=23.0%) [paper] [code]
• [ICCAD’19] Yintao He, Ying Wang, Yongchen Wang, Huawei Li, Xiaowei Li, “An Agile Precision-Tunable CNN Accelerator based on ReRAM,” in IEEE/ACM International Conference On Computer Aided Design, 2019.(CCF-B, Acceptance Rate: 94/394=23.8%) [paper]
• [DAC’26] Juhong Park, Yintao He, Sangheum Yeon, Yiran Chen and Jong Hwan Ko, “REFLEX: Rewrite-Free Row-Aligned Sparse Attention for Efficient LLM Execution on PIM,” to appear in IEEE/ACM Proceedings of Design, Automation Conference, 2026.(CCF-A)
• [DAC’26] Yudong Pan, Yintao He, Tianhua Han, Lian Liu, Shixin Zhao, Zhirong Chen, Mengdi Wang, Cangyuan Li, Yinhe Han and Ying Wang, “TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading,” to appear in IEEE/ACM Proceedings of Design, Automation Conference, 2026.(CCF-A)
• [ICLR’26] Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai “Helen” Li, Yiran Chen, “DPad: Efficient Diffusion Language Models with Suffix Dropout,” in International Conference on Learning Representations, 2026.
• [ASPLOS’25] Shixin Zhao, Yuming Li, Bing Li, Yintao He, Mengdi Wang, Yinhe Han, Ying Wang, “Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators,” in International Conference on Architectural Support for Programming Languages and Operating Systems, 2025.(CCF-A)
• [ASPLOS’24] Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Ying Wang, Lei Zhang, “CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators,” in International Conference on Architectural Support for Programming Languages and Operating Systems, 2024.(CCF-A)
• [DAC’24] Lian Liu, Zhaohui Xu, Yintao He, Ying Wang, Huawei Li, Xiaowei Li and Yinhe Han, “Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration,” to appear in IEEE/ACM Proceedings of Design, Automation Conference, 2024.(CCF-A)
• [DAC’23] Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin and Weifeng Liu, “AmgR: Algebraic Multigrid Accelerated on ReRAM” in IEEE/ACM Proceedings of Design, Automation Conference, 2023.(CCF-A)
• [IEEE Design & Test] Yiran Chen, Cong Guo, Yintao He, Mingyuan Ma, Tergel Molom-Ochir, Nicky Ramos, Haoxuan Shan, Chiyue Wei, Hai Li, “Circuits to systems: co-designing efficient AI hardware,” in IEEE Design & Test, 2025.
• [TC] Wen Li, Ying Wang, Cheng Liu, Yintao He, Lian Liu, Huawei Li, Xiaowei Li, “On-line Fault Protection for ReRAM-based Neural Networks,” in IEEE Transactions on Computers, 2022.(CCF-A) [paper]
• [TCAD] Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li, “A Fast Precision Tuning Solution for Always-On DNN Accelerators,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021.(CCF-A) [paper]

Honors and Awards

• 2024 Special Prize of President Scholarship of the Chinese Academy of Sciences (中科院院长特别奖)
• 2022 National Scholarship
• 2022 Director’s Special Scholarship in the Institute of Computing Technology, Chinese Academy of Sciences
• 2020, 2021 UCAS Merit Student
• 2020 DAC Young Fellow Best Poster Award
• 2020 DAC Young Fellowship
• 2019 Outstanding Graduation Thesis (Top 5 in the department)

Services

• Reviewer: IEEE Trans. CAD, IEEE Trans. PDS, IEEE Trans. ETC, ACM Trans. DAES, ITC 2023, ITC 2024, ISCAS 2026

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