Yinhe Han

ORCID

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 107

Top Venues

ASP-DAC

DAC

IEEE Trans. Very Large Scale Integr. Syst.

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Bosheng Liu, Hongyi Liang, Jigang Wu, Xiaoming Chen, Peng Liu, Yinhe Han
Accelerating Convolutional Neural Networks in Frequency Domain via Kernel-Sharing Approach. ASP-DAC (2023)
Hanqi Jiang, Cheng Zeng, Runnan Chen, Shuai Liang, Yinhe Han, Yichao Gao, Conglin Wang
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. CoRR (2023)
Chengsi Gao, Ying Wang, Yinhe Han, Weiwei Chen, Lei Zhang
IVP: An Intelligent Video Processing Architecture for Video Streaming. IEEE Trans. Computers 72 (1) (2023)
Haoran Wang, Haobo Xu, Ying Wang, Yinhe Han
CTA: Hardware-Software Co-design for Compressed Token Attention Mechanism. HPCA (2023)
Shixin Zhao, Songyun Qu, Ying Wang, Yinhe Han
ENASA: Towards Edge Neural Architecture Search based on CIM acceleration. DATE (2023)
Yilun Zhao, Yu Chen, He Li, Ying Wang, Kaiyan Chang, Bingmeng Wang, Bing Li, Yinhe Han
Full State Quantum Circuit Simulation Beyond Memory Limit. ICCAD (2023)
Rui Liu, Xiaoyu Zhang, Xiaoming Chen, Yinhe Han, Minghua Tang
FeMIC: Multi-Operands in-Memory Computing Based on FeFETs. ASP-DAC (2022)
Zhenyu Quan, Xiaoming Chen, Yinhe Han
AIC-Bench: Workload Selection Methodology for Benchmarking AI Chips. HPCC/DSS/SmartCity/DependSys (2022)
Jingyu Niu, Yu Hu, Wei Li, Guangyan Huang, Yinhe Han, Xiaowei Li
Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing. IJCNN (2022)
Feng Min, Ying Wang, Haobo Xu, Junpei Huang, Yujie Wang, Xingqi Zou, Meixuan Lu, Yinhe Han
Dadu-SV: Accelerate Stereo Vision Processing on NPU. IEEE Embed. Syst. Lett. 14 (4) (2022)
Xiaohan Ma, Ying Wang, Yujie Wang, Xuyi Cai, Yinhe Han
Survey on chiplets: interface, interconnect and integration methodology. CCF Trans. High Perform. Comput. 4 (1) (2022)
Zhiwen Xie, Yinhe Han, Xiaoming Chen
PME: Processing-in-memory Masking and Encoding for Secure NVM. HPCC/DSS/SmartCity/DependSys (2022)
Zihao Sun, Yu Hu, Longxing Yang, Shun Lu, Jilin Mei, Yinhe Han, Xiaowei Li
STC-NAS: Fast neural architecture search with source-target consistency. Neurocomputing 497 (2022)
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
Neural-PIM: Efficient Processing-In-Memory With Neural Approximation of Peripherals. IEEE Trans. Computers 71 (9) (2022)
Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yinhe Han, Xiaowei Li
Searching for BurgerFormer with Micro-Meso-Macro Space Design. ICML (2022)
Yalan Wu, Jigang Wu, Long Chen, Jiaquan Yan, Yinhe Han
Load Balance Guaranteed Vehicle-to-Vehicle Computation Offloading for Min-Max Fairness in VANETs. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Zaizuo Tang, Guangzhu Chen, Yinhe Han, Xiaojuan Liao, Qingjun Ru, Yuanyuan Wu
Bi-stage multi-modal 3D instance segmentation method for production workshop scene. Eng. Appl. Artif. Intell. 112 (2022)
Zerun Li, Xiaoming Chen, Yinhe Han
GraphRing: an HMC-ring based graph processing framework with optimized data movement. DAC (2022)
Zerun Li, Xiaoming Chen, Yinhe Han
Optimal Data Allocation for Graph Processing in Processing-in-Memory Systems. ASP-DAC (2022)
Rui Hou, Guangzhu Chen, Yinhe Han, Zaizuo Tang, Qingjun Ru
Multi-modal feature fusion for 3D object detection in the production workshop. Appl. Soft Comput. 115 (2022)
Yalan Wu, Jigang Wu, Peng Liu, Yinhe Han, Thambipillai Srikanthan
Reconfiguration algorithms for synchronous communication on switch based degradable arrays. Parallel Comput. 111 (2022)
Weiwei Chen, Ying Wang, Ying Xu, Chengsi Gao, Yinhe Han, Lei Zhang
Amphis: Managing Reconfigurable Processor Architectures With Generative Adversarial Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Fuping Li, Ying Wang, Yuanqing Cheng, Yujie Wang, Yinhe Han, Huawei Li, Xiaowei Li
GIA: A Reusable General Interposer Architecture for Agile Chiplet Integration. ICCAD (2022)
Hang Xiao, Haobo Xu, Xiaoming Chen, Yujie Wang, Yinhe Han
Fast and High-Accuracy Approximate MAC Unit Design for CNN Computing. IEEE Embed. Syst. Lett. 14 (3) (2022)
Zihao Sun, Yu Hu, Shun Lu, Longxing Yang, Jilin Mei, Yinhe Han, Xiaowei Li
AGNAS: Attention-Guided Micro and Macro-Architecture Search. ICML (2022)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Jigang Wu, Liang Chang, Peng Liu, Haobo Xu
Search-Free Inference Acceleration for Sparse Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals. CoRR (2022)
Haobo Xu, Yuxin Yang, Feng Min, Junpei Huang, Xiaoming Chen, Yinhe Han, Ninghui Sun
Toward Efficient Computing for Robotics: From a Circuit and System View. IEEE Trans. Circuits Syst. II Express Briefs 69 (7) (2022)
Xiaoming Chen, Yinhe Han
Solving Least-Squares Fitting in $O(1)$ Using RRAM-based Computing-in-Memory Technique. ASP-DAC (2022)
Xiaoyu Zhang, Rui Liu, Tao Song, Yuxin Yang, Yinhe Han, Xiaoming Chen
Re-FeMAT: A Reconfigurable Multifunctional FeFET-Based Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Wanqian Li, Yinhe Han, Xiaoming Chen
Energy-Efficient In-SRAM Accumulation for CMOS-based CNN Accelerators. ACM Great Lakes Symposium on VLSI (2022)
Hang Xiao, Haobo Xu, Xiaoming Chen, Yujie Wang, Yinhe Han
P3S: A High Accuracy Probabilistic Prediction Processing System for CNN Acceleration. ACM Great Lakes Symposium on VLSI (2022)
Hang Xiao, Haobo Xu, Ying Wang, Yujie Wang, Yinhe Han
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks. IEEE Comput. Archit. Lett. 21 (1) (2022)
Xuyi Cai, Ying Wang, Xiaohan Ma, Yinhe Han, Lei Zhang
DeepBurning-SEG: Generating DNN Accelerators of Segment-Grained Pipeline Architecture. MICRO (2022)
Liang Yan, Mingzhe Zhang, Rujia Wang, Xiaoming Chen, Xingqi Zou, Xiaoyang Lu, Yinhe Han, Xian-He Sun
CoPIM: A Concurrency-aware PIM Workload Offloading Architecture for Graph Applications. ISLPED (2021)
Xingqi Zou, Sheng Xu, Xiaoming Chen, Liang Yan, Yinhe Han
Breaking the von Neumann bottleneck: architecture-level processing-in-memory technology. Sci. China Inf. Sci. 64 (6) (2021)
Feng Min, Haobo Xu, Ying Wang, Yujie Wang, Jiajun Li, Xingqi Zou, Bei Li, Yinhe Han
Dadu-Eye: A 5.3 TOPS/W, 30 fps/1080p High Accuracy Stereo Vision Accelerator. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (10) (2021)
Xiaoming Chen, Tao Song, Yinhe Han
RRAM-based Analog In-Memory Computing : Invited Paper. NANOARCH (2021)
Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi, Yinhe Han, Xiaowei Li
DDSAS: Dynamic and Differentiable Space-Architecture Search. ACML (2021)
Peng Liu, Zhiqiang You, Jigang Wu, Bosheng Liu, Yinhe Han, Krishnendu Chakrabarty
Fault Modeling and Efficient Testing of Memristor-Based Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (11) (2021)
Lian Yao, Peng Liu, Jigang Wu, Yinhe Han, Yuehang Zhong, Zhiqiang You
Integrating Two Logics Into One Crossbar Array for Logic Gate Design. IEEE Trans. Circuits Syst. II Express Briefs 68 (8) (2021)
Xiaoming Chen, Yuping Wu, Yinhe Han
FePIM: Contention-Free In-Memory Computing Based on Ferroelectric Field-Effect Transistors. ASP-DAC (2021)
Tao Song, Xiaoming Chen, Yinhe Han
(1) with RRAM-based In-Memory Accelerator. ACM Great Lakes Symposium on VLSI (2021)
Bosheng Liu, Zhuoshen Jiang, Jigang Wu, Xiaoming Chen, Yinhe Han, Peng Liu
F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM. DAC (2021)
Tao Song, Xiaoming Chen, Xiaoyu Zhang, Yinhe Han
BRAHMS: Beyond Conventional RRAM-based Neural Network Accelerators Using Hybrid Analog Memory System. DAC (2021)
Peipei Yin, Chenghua Wang, Haroon Waris, Weiqiang Liu, Yinhe Han, Fabrizio Lombardi
Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning. IEEE Trans. Sustain. Comput. 6 (4) (2021)
Peng Liu, Zhiqiang You, Jigang Wu, Michael Elimu, Weizheng Wang, Shuo Cai, Yinhe Han
Defect Analysis and Parallel Testing for 3D Hybrid CMOS-Memristor Memory. IEEE Trans. Emerg. Top. Comput. 9 (2) (2021)
Wei Li, Yu Hu, Yinhe Han, Xiaowei Li
KFS-LIO: Key-Feature Selection for Lightweight Lidar Inertial Odometry. ICRA (2021)
Xiaoming Chen, Yinhe Han, Yu Wang
Communication Lower Bound in Convolution Accelerators. HPCA (2020)
Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC (2020)
Zhao Wang, Yijin Guan, Guangyu Sun, Dimin Niu, Yuhao Wang, Hongzhong Zheng, Yinhe Han
GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks. ACA (2020)
Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction. CVPR (2020)
Sheng Xu, Xiaoming Chen, Xuehai Qian, Yinhe Han
TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries. ACM Great Lakes Symposium on VLSI (2020)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Ying Wang, Jiajun Li, Haobo Xu, Xiaowei Li
Search-free Accelerator for Sparse Convolutional Neural Networks. ASP-DAC (2020)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Haobo Xu
Swallow: A Versatile Accelerator for Sparse Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Yuxin Yang, Xiaoming Chen, Yinhe Han
Dadu-CD: Fast and Efficient Processing-in-Memory Accelerator for Collision Detection. DAC (2020)
Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction. CoRR (2020)
Hang Lu, Mingzhe Zhang, Yinhe Han, Qi Wang, Huawei Li, Xiaowei Li
Architecting Effectual Computation for Machine Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Jingyu Niu, Yu Hu, Beibei Jin, Yinhe Han, Xiaowei Li
Two-Stage Safe Reinforcement Learning for High-Speed Autonomous Racing. SMC (2020)
Yuxin Yang, Shiqi Lian, Xiaoming Chen, Yinhe Han
Accelerating RRT Motion Planning Using TCAM. ACM Great Lakes Symposium on VLSI (2020)
Yongchen Wang, Ying Wang, Huawei Li, Yinhe Han, Xiaowei Li
An Efficient Deep Learning Accelerator for Compressed Video Analysis. DAC (2020)
Yinhe Han, Yuxin Yang, Xiaoming Chen, Shiqi Lian
DaDu Series - Fast and Efficient Robot Accelerators. ICCAD (2020)
Xiaoming Chen, Yinhe Han, Yu Wang
Communication Lower Bound in Convolution Accelerators. CoRR (2019)
Yipei Yang, Jing Ye, Xiaowei Li, Yinhe Han, Huawei Li, Yu Hu
Implementation of Parametric Hardware Trojan in FPGA. ITC-Asia (2019)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li
Accelerating DNN-based 3D point cloud processing for mobile computing. Sci. China Inf. Sci. 62 (11) (2019)
Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xuehai Qian, Xiaowei Li
PIMSim: A Flexible and Detailed Processing-in-Memory Simulator. IEEE Comput. Archit. Lett. 18 (1) (2019)
Huawei Li, Xiaowei Li, Yinhe Han
China Test Conference (CTC) - Extending the Global Test Forum to China. ITC (2019)
Xiaoyu Zhang, Xiaoming Chen, Yinhe Han
FeMAT: Exploring In-Memory Processing in Multifunctional FeFET-Based Memory Array. ICCD (2019)
Jiajun Li, Ying Wang, Bosheng Liu, Yinhe Han, Xiaowei Li
Simulate-the-hardware: training accurate binarized neural networks for low-precision neural accelerators. ASP-DAC (2019)
Xiaoyi Sun, Krishnendu Chakrabarty, Ruirui Huang, Yiquan Chen, Bing Zhao, Hai Cao, Yinhe Han, Xiaoyao Liang, Li Jiang
System-level hardware failure prediction using deep learning. DAC (2019)
Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xiaowei Li
CuckooPIM: an efficient and less-blocking coherence mechanism for processing-in-memory systems. ASP-DAC (2019)
Shichang Zhang, Ying Wang, Xiaoming Chen, Yinhe Han, Yujie Wang, Xiaowei Li
Thread: Towards fine-grained precision reconfiguration in variable-precision neural network accelerator. IEICE Electron. Express 16 (14) (2019)
Xiaoming Chen, Danny Ziyi Chen, Yinhe Han, Xiaobo Sharon Hu
moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units. IEEE Trans. Parallel Distributed Syst. 30 (3) (2019)
Xiaoming Chen, Longxiang Yin, Bosheng Liu, Yinhe Han
Merging Everything (ME): A Unified FPGA Architecture Based on Logic-in-Memory Techniques. DAC (2019)
Bosheng Liu, Xiaoming Chen, Ying Wang, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li
Addressing the issue of processing element under-utilization in general-purpose systolic deep learning accelerators. ASP-DAC (2019)
Xiaoming Chen, Kai Ni, Michael T. Niemier, Yinhe Han, Suman Datta, Xiaobo Sharon Hu
Power and Area Efficient FPGA Building Blocks Based on Ferroelectric FETs. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2019)
Haobo Xu, Ying Wang, Yujie Wang, Jiajun Li, Bosheng Liu, Yinhe Han
ACG-Engine: An Inference Accelerator for Content Generative Neural Networks. ICCAD (2019)
Shiqi Lian, Yinhe Han, Xiaoming Chen, Ying Wang, Hang Xiao
Dadu-P: a scalable accelerator for robot motion planning in a dynamic environment. DAC (2018)
Ying Wang, Zhenyu Quan, Jiajun Li, Yinhe Han, Huawei Li, Xiaowei Li
A retrospective evaluation of energy-efficient object detection solutions on embedded devices. DATE (2018)
Shice Liu, Yu Hu, Yiming Zeng, Qiankun Tang, Beibei Jin, Yinhe Han, Xiaowei Li
See and Think: Disentangling Semantic Scene Completion. NeurIPS (2018)
Yiming Zeng, Yu Hu, Shice Liu, Jing Ye, Yinhe Han, Xiaowei Li, Ninghui Sun
RT3D: Real-Time 3-D Vehicle Detection in LiDAR Point Cloud for Autonomous Driving. IEEE Robotics Autom. Lett. 3 (4) (2018)
Faqiang Sun, Guihai Yan, Xin He, Huawei Li, Yinhe Han
CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency. J. Comput. Sci. Technol. 33 (1) (2018)
Sheng Xu, Ying Wang, Yinhe Han, Xiaowei Li
PIMCH: Cooperative memory prefetching in processing-in-memory architecture. ASP-DAC (2018)
Ying Wang, Huawei Li, Yinhe Han, Xiaowei Li
A Low Overhead In-Network Data Compressor for the Memory Hierarchy of Chip Multiprocessors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (6) (2018)
Shiqi Lian, Ying Wang, Yinhe Han
DimRouter: A Multi-Mode Router Architecture for Higher Energy-Proportionality of On-Chip Networks. J. Comput. Sci. Technol. 33 (5) (2018)
Shiqi Lian, Ying Wang, Yinhe Han, Xiaowei Li
BoDNoC: Providing bandwidth-on-demand interconnection for multi-granularity memory systems. ASP-DAC (2017)
Hang Lu, Guihai Yan, Yinhe Han, Xiaowei Li
PowerTrader: Enforcing Autonomous Power Management for Future Large-Scale Many-Core Processors. IEEE Trans. Multi Scale Comput. Syst. 3 (4) (2017)
Xin He, Shuhao Jiang, Wenyan Lu, Guihai Yan, Yinhe Han, Xiaowei Li
Exploiting the Potential of Computation Reuse Through Approximate Computing. IEEE Trans. Multi Scale Comput. Syst. 3 (3) (2017)
Ying Wang, Yinhe Han, Cheng Wang, Huawei Li, Xiaowei Li
Retention-Aware DRAM Assembly and Repair for Future FGR Memories. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (5) (2017)
Wenyan Lu, Guihai Yan, Jiajun Li, Shijun Gong, Yinhe Han, Xiaowei Li
FlexFlow: A Flexible Dataflow Accelerator Architecture for Convolutional Neural Networks. HPCA (2017)
Xin He, Guihai Yan, Faqiang Sun, Yinhe Han, Xiaowei Li
ApproxEye: Enabling approximate computation reuse for microrobotic computer vision. ASP-DAC (2017)
Cheng Wang, Ying Wang, Yinhe Han, Lili Song, Zhenyu Quan, Jiajun Li, Xiaowei Li
CNN-based object detection solutions for embedded heterogeneous multicore SoCs. ASP-DAC (2017)
Lili Song, Ying Wang, Yinhe Han, Huawei Li, Yuanqing Cheng, Xiaowei Li
STT-RAM Buffer Design for Precision-Tunable General-Purpose Neural Network Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 25 (4) (2017)
Shiqi Lian, Yinhe Han, Ying Wang, Yungang Bao, Hang Xiao, Xiaowei Li, Ninghui Sun
Dadu: Accelerating Inverse Kinematics for High-DOF Robots. DAC (2017)
Song Jin, Songwei Pei, Yinhe Han, Huawei Li
A Cost-Effective Energy Optimization Framework of Multicore SoCs Based on Dynamically Reconfigurable Voltage-Frequency Islands. ACM Trans. Design Autom. Electr. Syst. 21 (2) (2016)
Song Jin, Yinhe Han, Songwei Pei
Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations. Microelectron. J. 54 (2016)
Ying Wang, Jie Xu, Yinhe Han, Huawei Li, Xiaowei Li
DeepBurning: automatic generation of FPGA-based learning accelerators for the neural network family. DAC (2016)
Ying Wang, Yinhe Han, Huawei Li, Xiaowei Li
VANUCA: Enabling Near-Threshold Voltage Operation in Large-Capacity Cache. IEEE Trans. Very Large Scale Integr. Syst. 24 (3) (2016)
Yinhe Han, Jianbo Dong, Kaiheng Weng, Ying Wang, Xiaowei Li
Enhanced Wear-Rate Leveling for PRAM Lifetime Improvement Considering Process Variation. IEEE Trans. Very Large Scale Integr. Syst. 24 (1) (2016)
Guihai Yan, Jun Ma, Yinhe Han, Xiaowei Li
EcoUp: Towards Economical Datacenter Upgrading. IEEE Trans. Parallel Distributed Syst. 27 (7) (2016)

Yinhe Han.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yinhe Han