Xiaofan Zhang

发表

Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems

Deming Chen, Yao Chen, Cong Hao, 2022, ArXiv.

Compilation and Optimizations for Efficient Machine Learning on Embedded Systems

Deming Chen, Yao Chen, Cong Hao, 2022, 2206.03326.

ICCAD: G: Bridge the Hardware-Software Gap: Exploring End-to-End Design Flows for Building Efficient AI Systems

Xiaofan Zhang, 2022 .

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Yuhong Li, Deming Chen, Xiaofan Zhang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search pdf

Minh N. Do, Xiaofan Zhang, Raymond A. Yeh, 2021, ArXiv.

Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment pdf

Deming Chen, Xiaofan Zhang, Hanchen Ye, 2021, ArXiv.

F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding

Deming Chen, Pierce Chuang, Xiaofan Zhang, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices

Wen-mei W. Hwu, Deming Chen, W. Hwu, 2020, ACM Great Lakes Symposium on VLSI.

DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator

Wen-mei W. Hwu, Deming Chen, W. Hwu, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

Yue Wang, Yang Zhao, Chaojian Li, 2020, FPGA.

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Wen-mei W. Hwu, Humphrey Shi, Deming Chen, 2019, MLSys.

SiamVGG: Visual Tracking using Deeper Siamese Networks pdf

Yuhong Li, Xiaofan Zhang, Xiaofan Zhang, 2019, ArXiv.

HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation

Deming Chen, Xiaofan Zhang, Hanchen Ye, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

FPGA/DNN Co-Design: An Efficient Design Methodology for 1oT Intelligence on the Edge

Jinjun Xiong, Yuhong Li, Deming Chen, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

DNNBuilder: an Automated Tool for Building High-Performance DNN Hardware Accelerators for FPGAs

Jinjun Xiong, Deming Chen, Wen-mei W. Hwu, 2018, 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA

Kai Zhang, Deming Chen, Yao Chen, 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

The Sixth Visual Object Tracking VOT2018 Challenge Results

Michael Felsberg, Huchuan Lu, Fahad Shahbaz Khan, 2018, ECCV Workshops.

Efficient Methods for Mapping Neural Machine Translator on FPGAs

Jinjun Xiong, Deming Chen, Wen-mei W. Hwu, 2021, IEEE Transactions on Parallel and Distributed Systems.

High-performance video content recognition with long-term recurrent convolutional network for FPGA

Deming Chen, Zuofu Cheng, Kyle Rupnow, 2017, 2017 27th International Conference on Field Programmable Logic and Applications (FPL).

Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs

Yao Chen, Jiong He, Deming Chen, 2019, FPGA.

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

Jinjun Xiong, Deming Chen, Yao Chen, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Algorithm/Accelerator Co-Design and Co-Search for Edge AI

Deming Chen, Xiaofan Zhang, Yuhong Li, 2022, IEEE Transactions on Circuits and Systems II: Express Briefs.

Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search

Clemens J. S. Schaefer, Jian Li, Xiaofan Zhang, 2023, ArXiv.

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection pdf

Jinjun Xiong, Deming Chen, Kyle Rupnow, 2019, ArXiv.

Design Flow of Accelerating Hybrid Extremely Low Bit-Width Neural Network in Embedded FPGA

Qiuwen Lou, Deming Chen, Chao Zhu, 2018, 2018 28th International Conference on Field Programmable Logic and Applications (FPL).

µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression

Deming Chen, Yao Chen, Cheng Gong, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS

Qin Li, Jinjun Xiong, Deming Chen, 2019, ASP-DAC.

Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs

Jinjun Xiong, Deming Chen, Xiaofan Zhang, 2018, ACM Great Lakes Symposium on VLSI.

Machine learning on FPGAs to face the IoT revolution

Di He, Deming Chen, Zuofu Cheng, 2017, 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition

Jason Cong, Peng Wei, Ramesh Karri, 2021, 2021 Formal Methods in Computer Aided Design (FMCAD).

Exploring HW/SW Co-Optimizations for Accelerating Large-scale Texture Identification on Distributed GPUs

Junsong Wang, Xiaofan Zhang, Yubo Li, 2021, ICPP.

Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization

Clemens J. S. Schaefer, S. Joshi, Xiaofan Zhang, 2023, ArXiv.

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

Pengfei Xu, Deming Chen, Chaojian Li, 2020, FPGA.