Yuhao Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 110

Top Venues

Publications

Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhu, Paul N. Whatmough, Yuhao Zhu
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator. CoRR (2024)
Yu Feng, Tianrui Ma, Yuhao Zhu, Xuan Zhang
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling. CoRR (2024)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) (2024)
Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. ISCA (2024)
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) (2024)
Weikai Lin, Yu Feng, Yuhao Zhu
RTGS: Enabling Real-Time Gaussian Splatting on Mobile Devices Using Efficiency-Guided Pruning and Foveated Rendering. CoRR (2024)
Yu Feng, Tianrui Ma, Yuhao Zhu, Xuan Zhang
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling. ISCA (2024)
Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. CoRR (2024)
Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhou, Paul N. Whatmough, Yuhao Zhu
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator. ISPASS (2024)
Nisarg Ujjainkar, Ethan Shahan, Kenneth Chen, Budmonde Duinkharjav, Qi Sun, Yuhao Zhu
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality. ASPLOS (1) (2024)
Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu
Fast and Accurate: Video Enhancement Using Sparse Depth. WACV (2023)
Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu
BLITZCRANK: Factor Graph Accelerator for Motion Planning. DAC (2023)
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA (2023)
Nisarg Ujjainkar, Ethan Shahan, Kenneth Chen, Budmonde Duinkharjav, Qi Sun, Yuhao Zhu
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality. CoRR (2023)
Yuhao Zhu
Teaching color science to EECS students using interactive tutorials: Tools and lessons. Visualization and Data Analysis (2023)
Tianrui Ma, Yu Feng, Xuan Zhang, Yuhao Zhu
CAMJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing. ISCA (2023)
Yu Feng, Tianrui Ma, Adith Boloor, Yuhao Zhu, Xuan Zhang
Invited Paper: Learned In-Sensor Visual Computing: From Compression to Eventification. ICCAD (2023)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR (2023)
Qiang Liu, Yuhui Hao, Weizhuang Liu, Bo Yu, Yiming Gan, Jie Tang, Shaoshan Liu, Yuhao Zhu
An Energy Efficient and Runtime Reconfigurable Accelerator for Robotic Localization. IEEE Trans. Computers 72 (7) (2023)
Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. CoRR (2023)
Kenneth Chen, Budmonde Duinkharjav, Nisarg Ujjainkar, Ethan Shahan, Abhishek Tyagi, Jiayi He, Yuhao Zhu, Qi Sun
Imperceptible Color Modulation for Power Saving in VR/AR. SIGGRAPH Emerging Technologies (2023)
Elias Neuman-Donihue, Michael Jarvis, Yuhao Zhu
FastPoints: A State-of-the-Art Point Cloud Renderer for Unity. CoRR (2023)
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR (2023)
Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. ISCA (2023)
Elias Neuman-Donihue, Michael Jarvis, Yuhao Zhu
FastPoints: A state-of-the-art point cloud renderer for Unity. Visualization and Data Analysis (2023)
Shuang Wu, Bo Yu, Shaoshan Liu, Yuhao Zhu
Autonomy 2.0: The Quest for Economies of Scale. CoRR (2023)
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR (2022)
Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu
Real-Time Gaze Tracking with Event-Driven Eye Segmentation. VR (2022)
Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu
Real-Time Gaze Tracking with Event-Driven Eye Segmentation. CoRR (2022)
Yuhao Zhu
RTNN: accelerating neighbor search using hardware ray tracing. PPoPP (2022)
Shaoshan Liu, Bo Yu, Jie Tang, Yuhao Zhu, Xue Liu
Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective. IEEE Wirel. Commun. 29 (4) (2022)
Yuhao Zhu
RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing. CoRR (2022)
Yu Feng, Gunnar Hammonds, Yiming Gan, Yuhao Zhu
Crescent: Taming Memory Irregularities for Accelerating Deep Point Cloud Analytics. CoRR (2022)
Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu
Factor Graph Accelerator for LiDAR-Inertial Odometry. CoRR (2022)
Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
Block-Skim: Efficient Question Answering for Transformer. AAAI (2022)
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO (2022)
Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration. HPCA (2022)
Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu
Braum: Analyzing and Protecting Autonomous Machine Software Stack. ISSRE (2022)
Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu
Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). ICCAD (2022)
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR (2022)
Budmonde Duinkharjav, Kenneth Chen, Abhishek Tyagi, Jiayi He, Yuhao Zhu, Qi Sun
Color-Perception-Guided Display Power Reduction for Virtual Reality. CoRR (2022)
Abhishek Tyagi, Yiming Gan, Shaoshan Liu, Bo Yu, Paul N. Whatmough, Yuhao Zhu
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators. CoRR (2022)
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR (2022)
Sifan Ye, Ting Wu, Michael Jarvis, Yuhao Zhu
Digital reconstruction of Elmina Castle for mobile virtual reality via point-based detail transfer. Visualization and Data Analysis (2022)
Yu Feng, Gunnar Hammonds, Yiming Gan, Yuhao Zhu
Crescent: taming memory irregularities for accelerating deep point cloud analytics. ISCA (2022)
Budmonde Duinkharjav, Kenneth Chen, Abhishek Tyagi, Jiayi He, Yuhao Zhu, Qi Sun
Color-Perception-Guided Display Power Reduction for Virtual Reality. ACM Trans. Graph. 41 (6) (2022)
Yawen Lu, Yuhao Zhu, Guoyu Lu
3D SceneFlowNet: Self-Supervised 3D Scene Flow Estimation Based on Graph CNN. ICIP (2021)
Joshua Romphf, Elias Neuman-Donihue, Gregory Heyworth, Yuhao Zhu
Resurrect3D: An Open and Customizable Platform for Visualizing and Analyzing Cultural Heritage Artifacts. Web3D (2021)
Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC (2021)
Joshua Romphf, Elias Neuman-Donihue, Gregory Heyworth, Yuhao Zhu
Resurrect3D: An Open and Customizable Platform for Visualizing and Analyzing Cultural Heritage Artifacts. CoRR (2021)
Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration. CoRR (2021)
Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu
ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. CoRR (2021)
Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. HPCA (2021)
Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, Yuhao Zhu
Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. MICRO (2021)
Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guang R. Gao
The Promise of Dataflow Architectures in the Design of Processing Systems for Autonomous Machines. CoRR (2021)
Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu
Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. RTAS (2021)
Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu
A LiDAR-Guided Framework for Video Enhancement. CoRR (2021)
Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu
The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. CoRR (2021)
Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR (2021)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu
Block-Skim: Efficient Question Answering for Transformer. CoRR (2021)
Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines. CoRR (2020)
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC (2020)
Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu
A Survey of FPGA-Based Robotic Computing. CoRR (2020)
Bo Yu, Wei Hu, Leimeng Xu, Jie Tang, Shaoshan Liu, Yuhao Zhu
Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. MICRO (2020)
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC (2020)
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR (2020)
Yue Leng, Jian Huang, Chi-Chun Chen, Qiuyue Sun, Yuhao Zhu
Energy-Efficient Video Processing for Virtual Reality. IEEE Micro 40 (3) (2020)
Yu Feng, Shaoshan Liu, Yuhao Zhu
Real-Time Spatio-Temporal LiDAR Point Cloud Compression. CoRR (2020)
Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Ptolemy: Architecture Support for Robust Deep Learning. MICRO (2020)
Yu Feng, Boyuan Tian, Tiancheng Xu, Paul N. Whatmough, Yuhao Zhu
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation. MICRO (2020)
Qiuyue Sun, Amir Taherin, Yawo Siatitse, Yuhao Zhu
Energy-Efficient 360-Degree Video Rendering on FPGA via Algorithm-Architecture Co-Design. FPGA (2020)
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR (2020)
Yu Feng, Shaoshan Liu, Yuhao Zhu
Real-Time Spatio-Temporal LiDAR Point Cloud Compression. IROS (2020)
Yu Feng, Boyuan Tian, Tiancheng Xu, Paul N. Whatmough, Yuhao Zhu
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation. CoRR (2020)
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. CVPR (2020)
Sifan Ye, Ting Wu, Michael Jarvis, Yuhao Zhu
Digital Reconstruction of Elmina Castle for Mobile Virtual Reality via Point-based Detail Transfer. CoRR (2020)
Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna
A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim. ISPASS (2020)
Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu
Ptolemy: Architecture Support for Robust Deep Learning. CoRR (2020)
Yiming Gan, Yuxian Qiu, Lele Chen, Jingwen Leng, Yuhao Zhu
Low-Latency Proactive Continuous Vision. PACT (2020)
Carlos Mauricio Villegas Burgos, Tianqi Yang, Nick Vamivakas, Yuhao Zhu
End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics. CoRR (2020)
Yu Feng, Yuhao Zhu
PES: Proactive Event Scheduling for Responsive and Energy-Efficient Mobile Web Computing. CoRR (2019)
Haichuan Yang, Yuhao Zhu, Ji Liu
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CVPR (2019)
Wenzhi Cui, Daniel Richins, Yuhao Zhu, Vijay Janapa Reddi
Tail latency in node.js: energy efficient turbo boosting for long latency requests in event-driven web services. VEE (2019)
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. CoRR (2019)
Yiming Gan, Yuxian Qiu, Jingwen Leng, Yuhao Zhu
SVSoC: Speculative Vision Systems-on-a-Chip. IEEE Comput. Archit. Lett. 18 (1) (2019)
Yu Feng, Paul N. Whatmough, Yuhao Zhu
ASV: Accelerated Stereo Vision System. MICRO (2019)
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Adversarial Defense Through Network Profiling Based Path Extraction. CoRR (2019)
Yue Leng, Chi-Chun Chen, Qiuyue Sun, Jian Huang, Yuhao Zhu
Energy-efficient video processing for virtual reality. ISCA (2019)
Yu Feng, Paul N. Whatmough, Yuhao Zhu
ASV: Accelerated Stereo Vision System. CoRR (2019)
Tiancheng Xu, Boyuan Tian, Yuhao Zhu
Tigris: Architecture and Algorithms for 3D Perception in Point Clouds. MICRO (2019)
Haichuan Yang, Yuhao Zhu, Ji Liu
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. ICLR (Poster) (2019)
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Adversarial Defense Through Network Profiling Based Path Extraction. CVPR (2019)
Yu Feng, Yuhao Zhu
PES: proactive event scheduling for responsive and energy-efficient mobile web computing. ISCA (2019)
Tiancheng Xu, Boyuan Tian, Yuhao Zhu
Tigris: Architecture and Algorithms for 3D Perception in Point Clouds. CoRR (2019)
Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks
Demystifying Bayesian Inference Workloads. ISPASS (2019)
Yuhao Zhu, Gu-Yeon Wei, David M. Brooks
Cloud No Longer a Silver Bullet, Edge to the Rescue. CoRR (2018)
Yue Leng, Chi-Chun Chen, Qiuyue Sun, Jian Huang, Yuhao Zhu
Semantic-Aware Virtual Reality Video Streaming. APSys (2018)
Ananda Samajdar, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna
SCALE-Sim: Systolic CNN Accelerator. CoRR (2018)
Yuhao Zhu, Anand Samajdar, Matthew Mattina, Paul N. Whatmough
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision. ISCA (2018)
Haichuan Yang, Yuhao Zhu, Ji Liu
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuhao Zhu