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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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Adversarial Graph Augmentation to Improve Graph Contrastive Learning


Jun 25, 2021
Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville

* link to code is added (https://github.com/susheels/adgcl

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3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration


May 11, 2021
Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao

* 6 pages 

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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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IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning


Feb 16, 2021
Nan Wu, Yuan Xie, Cong Hao


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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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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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