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Generic Neural Architecture Search via Regression


Aug 04, 2021
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen


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WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs


Jul 09, 2021
Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen

* Published in the proceedings of ASAP 2021 

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Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems


Apr 08, 2021
Cong Hao, Deming Chen

* Invited paper at IEEE AICAS 2021, 5 pages 

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Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design


Mar 30, 2021
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen

* Accepted by IEEE Design & Test (D&T) 

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


Mar 08, 2021
Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li

* Published as a conference paper at Design Automation Conference 2021 (DAC'21) 

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Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture


Mar 04, 2021
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayeto─člu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu


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PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses


Jan 20, 2021
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayeto─člu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu


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FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations


Dec 22, 2020
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang

* Published at the 29th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2021) 

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


Oct 15, 2020
Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* GLSVLSI, September 7-9, 2020 

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VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization


Jun 10, 2020
Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, Deming Chen

* 14 pages, 9 figures, Journal 

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


May 06, 2020
Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* Accepted by Design Automation Conference (DAC'2020) 

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


Apr 08, 2020
Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen

* Published as a conference paper at Design Automation Conference 2020 (DAC'20) 

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Compressing Large-Scale Transformer-Based Models: A Case Study on BERT


Feb 27, 2020
Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Deming Chen, Marianne Winslett, Hassan Sajjad, Preslav Nakov


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


Jan 06, 2020
Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin

* Accepted by 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'2020) 

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NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving


Nov 18, 2019
Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-mei Hwu, Junli Gu, Deming Chen

* 8 pages, ICCAD 2019 

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


Sep 20, 2019
Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas Huang, Honghui Shi, Wen-mei Hwu, Deming Chen


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


Jul 09, 2019
Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas Huang, Honghui Shi, Wen-mei Hwu, Deming Chen


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A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices


May 20, 2019
Xiaofan Zhang, Cong Hao, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* Accepted by the ICML 2019 Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations (ODML-CDNNR) 

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


Apr 09, 2019
Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-mei Hwu, Deming Chen

* Accepted by Design Automation Conference (DAC'2019) 

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When CTC Training Meets Acoustic Landmarks


Nov 05, 2018
Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen

* submitted in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019) 

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


Oct 25, 2018
Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen

* Accepted by International Conference on Field-Programmable Logic and Applications (FPL'2018) 

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Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks


May 15, 2018
Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen

* Submitted in Interspeech2018 

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


Apr 11, 2018
Yuhong Li, Xiaofan Zhang, Deming Chen

* Accepted by CVPR 2018 

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Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs


Mar 23, 2018
Chuanhao Zhuge, Xinheng Liu, Xiaofan Zhang, Sudeep Gummadi, Jinjun Xiong, Deming Chen

* This paper is accepted in GLSVLSI'18 

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