Yang Zhao

According to our database, Yang Zhao authored at least 55 papers between 2013 and 2025.

Collaborative distances:

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

2025

Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning.

Yibo Zhao, Yang Zhao, Hongru Du, Hao (Frank) Yang

CoRR, November, 2025

Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study.

Guanlin Wu, Boyan Su, Yang Zhao, Pu Wang, Yichen Lin, Hao (Frank) Yang

CoRR, October, 2025

How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation.

Yang Zhao, Pu Wang, Hao (Frank) Yang

CoRR, October, 2025

RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction.

Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao

CoRR, October, 2025

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs.

Pengwei Jin, Di Huang, Chongxiao Li, Shuyao Cheng, Yang Zhao, Xinyao Zheng, Jiaguo Zhu, Shuyi Xing, Bohan Dou, Rui Zhang, Zidong Du, Qi Guo, Xing Hu

CoRR, July, 2025

Advancing real-time infectious disease forecasting using large language models.

Hongru Du, Yang Zhao, Jianan Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang

Nat. Comput. Sci., June, 2025

CodeV-R1: Reasoning-Enhanced Verilog Generation.

Yaoyu Zhu, Di Huang, Han-Qi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

CoRR, May, 2025

Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference.

Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen

CoRR, May, 2025

Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models.

Yang Zhao, Pu Wang, Yibo Zhao, Hongru Du, Hao (Frank) Yang

CoRR, May, 2025

MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators.

Cheng Wan, Runkai Tao, Zheng Du, Yang Katie Zhao, Yingyan Celine Lin

CoRR, January, 2025

Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability.

Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference.

Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents.

Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC.

Yongan Zhang, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2024

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization.

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

CoRR, 2024

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting.

Zhongzhi Yu, Zheng Wang, Yuhan Li, Haoran You, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan Celine Lin

CoRR, 2024

Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.

Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao (Frank) Yang

CoRR, 2024

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study.

Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang

CoRR, 2024

Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.

Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan Celine Lin

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.

Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems.

Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

R-DUCT: Robust Dynamic Unified Carbon Modeling Tool Under Severe Uncertainty.

Wenkai Guan, Yang Katie Zhao, Cristinel Ababei

Proceedings of the 15th IEEE International Green and Sustainable Computing Conference, 2024

U-DUCT: Uncertainty-aware Dynamic Unified Carbon Modeling Tool for Datacenter Scheduling.

Wenkai Guan, Yang Katie Zhao, Cristinel Ababei

Proceedings of the 15th IEEE International Green and Sustainable Computing Conference, 2024

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

Yujie Zhao, Yang Katie Zhao, Cheng Wan, Yingyan Celine Lin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting.

Zhongzhi Yu, Zheng Wang, Yuhan Li, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan (Celine) Lin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

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

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

A Low-Cost and Energy-Efficient NoC Architecture for GPGPUs.

Xianwei Cheng, Yang Zhao, Mohammadreza Robaei, Beilei Jiang, Hui Zhao, Juan Fang

Proceedings of the 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2019

2018

Packet pump: overcoming network bottleneck in on-chip interconnects for GPGPUs.

Xianwei Cheng, Yang Zhao, Hui Zhao, Yuan Xie

Proceedings of the 55th Annual Design Automation Conference, 2018

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