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Yang Zhao 0013
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (PhD): Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
- affiliation (former): Fudan University, State Key Laboratory of ASIC and Systems, Shanghai, China
Other persons with the same name
- Yang Zhao — disambiguation page
- Yang Zhao 0001 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (and 1 more)
- Yang Zhao 0002 — Hefei University of Technology, School of Computer and Information, China (and 2 more)
- Yang Zhao 0003 — National University of Defense Technology, College of Computer / National Laboratory for Parallel and Distributed Processing, Changsha, China
- Yang Zhao 0004 — China Mobile Research Institute, Department of Fundamental Network Technology, Beijing, China (and 1 more)
- Yang Zhao 0005 — Nanjing Normal University, School of Electrical and Automation Engineering, China
- Yang Zhao 0006 — Xiamen University, Department of Mechanical and Electrical Engineering, China
- Yang Zhao 0007 — Nanjing University of Science and Technology, School of Mechanical Engineering, China (and 1 more)
- Yang Zhao 0008 — Wuhan University, School of Information Management, China
- Yang Zhao 0009 — Sun Yat-Sen University, School of Public Health (Shenzhen), Guangzhou, China (and 1 more)
- Yang Zhao 0010 — Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Beijing, China (and 1 more)
- Yang Zhao 0011 — University of California, Riverside, USA
- Yang Zhao 0012 — China University of Petroleum, College of Information Science and Engineering, Beijing
- Yang Zhao 0014 — Shenzhen University, China
- Yang Zhao 0015 — National University of Defense Technology, College of Advanced Interdisciplinary Studies, Changsha, China
- Yang Zhao 0016 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yang Zhao 0017 — Nanyang Technological University, Singapore
- Yang Zhao 0018 — Kyoto University, Japan
- Yang Zhao 0019 — La Trobe University, VIC, Australia
- Yang Zhao 0020 — Harbin Institute of Technology, Shenzhen, China
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2020 – today
- 2024
- [j5]Yongan Zhang, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin:
AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3143-3156 (2024) - [c24]Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen:
Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems. IV 2024: 633-638 - [i23]Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang:
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study. CoRR abs/2404.06962 (2024) - [i22]Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao (Frank) Yang:
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. CoRR abs/2406.10789 (2024) - [i21]Zhongzhi Yu, Zheng Wang, Yuhan Li, Haoran You, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reedy Bommu, Yang Katie Zhao, Yingyan Celine Lin:
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting. CoRR abs/2406.15758 (2024) - [i20]Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Ziyuan Nan, TianYun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen:
CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization. CoRR abs/2407.10424 (2024) - 2023
- [j4]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:
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 43(4): 88-97 (2023) - [j3]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7099-7113 (2023) - [c23]Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin:
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. DAC 2023: 1-6 - [c22]Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin:
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA 2023: 273-286 - [c21]Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Celine Lin:
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. ISCA 2023: 6:1-6:13 - [i19]Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Lin:
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. CoRR abs/2304.12467 (2023) - [i18]Yang Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Lin:
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. CoRR abs/2305.05766 (2023) - [i17]Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin:
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits. CoRR abs/2307.08060 (2023) - 2022
- [c20]Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin:
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. ICCAD 2022: 58:1-58:9 - [c19]Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. ICCAD 2022: 132:1-132:9 - [c18]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:
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA 2022: 610-622 - [c17]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR. VLSI Technology and Circuits 2022: 108-109 - [c16]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:
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. VLSI Technology and Circuits 2022: 252-253 - [i16]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:
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR abs/2206.00877 (2022) - [i15]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
i-FlatCam: A 253 FPS, 91.49 μJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR. CoRR abs/2206.08141 (2022) - [i14]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:
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. CoRR abs/2209.04407 (2022) - [i13]Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin:
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR abs/2210.09573 (2022) - [i12]Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin:
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. CoRR abs/2210.13361 (2022) - [i11]Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. CoRR abs/2212.01120 (2022) - 2021
- [j2]Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie:
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1230-1243 (2021) - [c15]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin:
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR 2021 - [c14]Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin:
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. MICRO 2021: 225-237 - [i10]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR abs/2101.01163 (2021) - [i9]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin:
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. CoRR abs/2103.10584 (2021) - [i8]Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin:
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. CoRR abs/2109.05223 (2021) - 2020
- [c13]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA 2020: 40-50 - [c12]Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. ICASSP 2020: 1593-1597 - [c11]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain. ISCA 2020: 832-845 - [c10]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA 2020: 954-967 - [c9]Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. ISCAS 2020: 1-5 - [c8]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. NeurIPS 2020 - [i7]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. CoRR abs/2001.03535 (2020) - [i6]Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. CoRR abs/2002.11270 (2020) - [i5]Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. CoRR abs/2003.01551 (2020) - [i4]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. CoRR abs/2005.01206 (2020) - [i3]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR abs/2005.03403 (2020) - [i2]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. CoRR abs/2012.13113 (2020)
2010 – 2019
- 2019
- [c7]Xianwei Cheng, Yang Zhao, Mohammadreza Robaei, Beilei Jiang, Hui Zhao, Juan Fang:
A Low-Cost and Energy-Efficient NoC Architecture for GPGPUs. ANCS 2019: 1-12 - [c6]Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie:
Memory Trojan Attack on Neural Network Accelerators. DATE 2019: 1415-1420 - [c5]Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin:
Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means. ISCAS 2019: 1 - [c4]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS 2019: 5139-5151 - [i1]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR abs/1910.13349 (2019) - 2018
- [c3]Xianwei Cheng, Yang Zhao, Hui Zhao, Yuan Xie:
Packet pump: overcoming network bottleneck in on-chip interconnects for GPGPUs. DAC 2018: 84:1-84:6 - 2016
- [j1]Yang Zhao, Yilei Shen, Pan Xue, Zhiwei Ma, Zhenfei Peng, Bao-Xing Chen, Zhiliang Hong:
An All-Digital Gigahertz Class-S Transmitter in a 65-nm CMOS. IEEE Trans. Very Large Scale Integr. Syst. 24(4): 1402-1411 (2016) - 2015
- [c2]Pan Xue, Yilei Shen, Yang Zhao, Zhiliang Hong:
An all-digital quadrature RF transmitter with 8-bit ΣΔ modulation. ASICON 2015: 1-4 - 2013
- [c1]Yang Zhao, Bill Yang Liu, Zhiliang Hong:
Design of a time-interleaved band-pass ΣΔ modulator for Class-S power amplifier. ASICON 2013: 1-4
Coauthor Index
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