Yinhe Han

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 32

Top Topics

Convolutional Neural Networks

Natural Language

Instruction Set Architecture

Top Venues

Publications

Siqi Wen, Hanqi Jiang, Cheng Zeng, Runnan Chen, Jidong Yuan, Shuai Liang, Yinhe Han
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. ICIC (5) (2024)
Yuxin Yang, Xiaoming Chen, Yinhe Han
JANM-IK: Jacobian Argumented Nelder-Mead Algorithm for Inverse Kinematics and its Hardware Acceleration. IEEE Comput. Archit. Lett. 23 (1) (2024)
Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. CoRR (2024)
Wanqian Li, Xiaotian Sun, Xinyu Wang, Lei Wang, Yinhe Han, Xiaoming Chen
PIMSYN: Synthesizing Processing-in-memory CNN Accelerators. CoRR (2024)
Yi Chen, Bosheng Liu, Yongqi Xu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, Yinhe Han
Accelerating Frequency-domain Convolutional Neural Networks Inference using FPGAs. ISCAS (2024)
Wanqian Li, Xiaotian Sun, Xinyu Wang, Lei Wang, Yinhe Han, Xiaoming Chen
PIMSYN: Synthesizing Processing-in-Memory CNN Accelerators. DATE (2024)
Lian Liu, Ying Wang, Xiandong Zhao, Weiwei Chen, Huawei Li, Xiaowei Li, Yinhe Han
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Xinyu Wang, Xiaotian Sun, Yinhe Han, Xiaoming Chen
PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators. CoRR (2024)
Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu
ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. ASPLOS (2) (2024)
Xiaoyang Lu, Boyu Long, Xiaoming Chen, Yinhe Han, Xian-He Sun
ACES: Accelerating Sparse Matrix Multiplication with Adaptive Execution Flow and Concurrency-Aware Cache Optimizations. ASPLOS (3) (2024)
Xiaoyu Zhang, Zerun Li, Rui Liu, Xiaoming Chen, Yinhe Han
GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication. IEEE Trans. Computers 73 (6) (2024)
Yiyang Huang, Yuhui Hao, Bo Yu, Feng Yan, Yuxin Yang, Feng Min, Yinhe Han, Lin Ma, Shaoshan Liu, Qiang Liu, Yiming Gan
Corki: Enabling Real-time Embodied AI Robots via Algorithm-Architecture Co-Design. CoRR (2024)
Fuping Li, Ying Wang, Yujie Wang, Mengdi Wang, Yinhe Han, Huawei Li, Xiaowei Li
Chipletizer: Repartitioning SoCs for Cost-Effective Chiplet Integration. ASPDAC (2024)
Xinyu Wang, Xiaotian Sun, Yinhe Han, Xiaoming Chen
PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators. DATE (2024)
Wanqian Li, Yinhe Han, Xiaoming Chen
Mathematical Framework for Optimizing Crossbar Allocation for ReRAM-based CNN Accelerators. ACM Trans. Design Autom. Electr. Syst. 29 (1) (2024)
Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han
GPACE: An Energy-Efficient PQ-Based GCN Accelerator with Redundancy Reduction. DATE (2024)
Haoran Wang, Lei Wang, Haobo Xu, Ying Wang, Yuming Li, Yinhe Han
PrimePar: Efficient Spatial-temporal Tensor Partitioning for Large Transformer Model Training. ASPLOS (3) (2024)
Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. CoRR (2024)
Rui Tang, Xiaoyu Zhang, Rui Liu, Zhejian Luo, Xiaoming Chen, Yinhe Han
Hardware-Software Co-Design for Content-Based Sparse Attention. ICCD (2023)
Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han
PANG: A Pattern-Aware GCN Accelerator for Universal Graphs. ICCD (2023)
Boyu Long, Libo Shen, Xiaoyu Zhang, Yinhe Han, Xian-He Sun, Xiaoming Chen
Meltrix: A RRAM-Based Polymorphic Architecture Enhanced by Function Synthesis. ICCAD (2023)
Xiaotian Sun, Xinyu Wang, Wanqian Li, Lei Wang, Yinhe Han, Xiaoming Chen
PIMCOMP: A Universal Compilation Framework for Crossbar-based PIM DNN Accelerators. DAC (2023)
Cangyuan Li, Ying Wang, Huawei Li, Yinhe Han
APPEND: Rethinking ASIP Synthesis in the Era of AI. DAC (2023)
Libo Shen, Boyu Long, Rui Liu, Xiaoyu Zhang, Yinhe Han, Xiaoming Chen
LIM-GEN: A Data-Guided Framework for Automated Generation of Heterogeneous Logic-in-Memory Architecture. ICCAD (2023)
Xiaotian Sun, Xinyu Wang, Wanqian Li, Lei Wang, Yinhe Han, Xiaoming Chen
PIMCOMP: A Universal Compilation Framework for Crossbar-based PIM DNN Accelerators. CoRR (2023)
Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
ChipGPT: How far are we from natural language hardware design. CoRR (2023)
Chengsi Gao, Ying Wang, Cheng Liu, Mengdi Wang, Weiwei Chen, Yinhe Han, Lei Zhang
Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity. DATE (2023)
Xiaoyu Zhang, Zerun Li, Rui Liu, Xiaoming Chen, Yinhe Han
FSPA: An FeFET-based Sparse Matrix-Dense Vector Multiplication Accelerator. DAC (2023)
Yuxin Yang, Xiaoming Chen, Yinhe Han
Dadu-RBD: Robot Rigid Body Dynamics Accelerator with Multifunctional Pipelines. MICRO (2023)
Yuxin Yang, Xiaoming Chen, Yinhe Han
RBDCore: Robot Rigid Body Dynamics Accelerator with Multifunctional Pipelines. CoRR (2023)
Rui Liu, Xiaoyu Zhang, Zhiwen Xie, Xinyu Wang, Zerun Li, Xiaoming Chen, Yinhe Han, Minghua Tang
FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (9) (2023)
Bosheng Liu, Zhuoshen Jiang, Yalan Wu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, Yinhe Han
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)