Yang Zhao

According to our database, Yang Zhao authored at least 29 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.

Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin

IEEE Micro, 2023

3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.

Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin

CoRR, 2023

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.

Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Celine Lin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design.

Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing.

Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.

Yang Zhao, Yongan Zhang, Yonggan Fu, Xu Ouyang, Cheng Wan, Shang Wu, Anton Banta, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR.

Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design.

Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks.

Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering.

Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Practical Attacks on Deep Neural Networks by Memory Trojaning.

Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark.

Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin

CoRR, 2021

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

CoRR, 2021

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency.

Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark.

Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training.

Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision.

Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.

Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain.

Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures.

Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

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

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

2019

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.

Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

CoRR, 2019

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings.

Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means.

Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Memory Trojan Attack on Neural Network Accelerators.

Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2016

An All-Digital Gigahertz Class-S Transmitter in a 65-nm CMOS.

Yang Zhao, Yilei Shen, Pan Xue, Zhiwei Ma, Zhenfei Peng, Bao-Xing Chen, Zhiliang Hong

IEEE Trans. Very Large Scale Integr. Syst., 2016

2015

An all-digital quadrature RF transmitter with 8-bit ΣΔ modulation.

Pan Xue, Yilei Shen, Yang Zhao, Zhiliang Hong

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2013

Design of a time-interleaved band-pass ΣΔ modulator for Class-S power amplifier.

Yang Zhao, Bill Yang Liu, Zhiliang Hong

Proceedings of the IEEE 10th International Conference on ASIC, 2013