Yiyu Shi

Kaleem Nawaz Khan, X. Li, Yiyu Shi, 2022, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Hybrid Gate-Pulse Model for Variational Quantum Algorithms

Xuehai Qian, Yiyu Shi, Ji Liu, 2022, 2023 60th ACM/IEEE Design Automation Conference (DAC).

ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators

Yiyu Shi, Jingtong Hu, Zhenge Jia, 2022, 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Introduction to

Yiyu Shi, Takashi Sato, Takashi Sato, 2015, ACM J. Emerg. Technol. Comput. Syst..

M 209 S Course Final Report Power Efficient Event Detection and Camera Calibration Algorithms with Application on ENS

Yiyu Shi, Yu Hu, Paul Mesa, 2022 .

Fair Multi-Exit Framework for Facial Attribute Classification

Yiyu Shi, Yu-Jen Chen, Tsung-Yi Ho, 2023, ArXiv.

Effective CAD research in the sea of papers

Yiyu Shi, Da-Cheng Juan, Jinglan Liu, 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Power Delivery Resonant Virus: Concept and Applications

Yiyu Shi, Cheng Zhuo, Di Gao, 2019, 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

Analytical Clustering Score with Application to Postplacement Register Clustering

Yiyu Shi, Peixin Li, Chang Xu, 2016, ACM Trans. Design Autom. Electr. Syst..

Analytical Clustering Score with Application to Post-Placement Multi-Bit Flip-Flop Merging

Yiyu Shi, Peixin Li, Chang Xu, 2015, ISPD.

PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence

Yiyu Shi, Xiaowei Xu, Jiaxin Zhang, 2018, 1802.09153.

A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image

Yiyu Shi, Meiping Huang, Hailong Qiu, 2021, International Journal of Computer Assisted Radiology and Surgery.

Pyramid-Net: Intra-layer Pyramid-Scale Feature Aggregation Network for Retinal Vessel Segmentation

Yiyu Shi, Meiping Huang, Xiaowei Xu, 2021, Frontiers in Medicine.

Clinical Efficacy of Topical Tacrolimus on Conjunctival Hyperemia Caused by Prostaglandin Analogues

Yiyu Shi, Jing Yang, Haibo Chen, 2022, Evidence-based complementary and alternative medicine : eCAM.

A universal state-of-charge algorithm for batteries

Yiyu Shi, Lei He, Bingjun Xiao, 2010, Design Automation Conference.

Positional Contrastive Learning for Volumetric Medical Image Segmentation

Yiyu Shi, Meiping Huang, Haiyun Yuan, 2021, MICCAI.

Fast Analysis of a Large-Scale Inductive Interconnect by Block-Structure-Preserved Macromodeling

Yiyu Shi, Hao Yu, Sheldon X.-D. Tan, 2010, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Hardware design and the competency awareness of a neural network

X. Hu, Jinjun Xiong, Yiyu Shi, 2020, Nature Electronics.

Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation

Yiyu Shi, Xiaowei Xu, Dewen Zeng, 2021, MICCAI.

Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs

Yiyu Shi, Zhenge Jia, Lichuan Ping, 2021, IJCAI.

Development of A Real-time POCUS Image Quality Assessment and Acquisition Guidance System

Yiyu Shi, B. Nti, Jingtong Hu, 2022, arXiv.org.

MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation pdf

Weiwen Jiang, Cheng Zhuo, Yiyu Shi, 2020, MICCAI.

RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Yiyu Shi, Xiaowei Xu, Cheng Zhuo, 2022, MICCAI.

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2022, MICCAI.

Invited:Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography

Yiyu Shi, Haiyun Yuan, Yukun Ding, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography pdf

Yiyu Shi, Meiping Huang, Yukun Ding, 2021, IPMI.

EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Yiyu Shi, Tianchen Wang, Meiping Huang, 2021, MICCAI.

ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

Jian Zhuang, Meiping Huang, Yiyu Shi, 2020, MICCAI.

ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation

Jinjun Xiong, Jian Zhuang, Meiping Huang, 2020, MICCAI.

Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching

Jian Zhuang, Tianchen Wang, Meiping Huang, 2019, MICCAI.

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

Yiyu Shi, Qi Liu, Xiaowei Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms

Xuehai Qian, Yiyu Shi, Yongshan Ding, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Chapter 9 – Smart home cybersecurity considering the integration of renewable energy

Shiyan Hu, Yiyu Shi, Xueyang Li, 2016 .

Impact assessment of net metering on smart home cyberattack detection

Jie Wu, Yang Liu, Yu Hu, 2015, 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC).

Myocardial Segmentation of Cardiac MRI Sequences With Temporal Consistency for Coronary Artery Disease Diagnosis

Yiyu Shi, Dewen Zeng, Meiping Huang, 2020, Frontiers in Cardiovascular Medicine.

Scaling for edge inference of deep neural networks

J. Cong, Yiyu Shi, M. Niemier, 2018 .

When Machine Learning Meets Quantum Computers: A Case Study pdf

Jinjun Xiong, Weiwen Jiang, Yiyu Shi, 2020, 2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC).

Scaling for edge inference of deep neural networks

Jason Cong, Yiyu Shi, Michael Niemier, 2018 .

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

Meng Li, Weiwen Jiang, Hyoukjun Kwon, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

DAC-SDC Low Power Object Detection Challenge for UAV Applications

Yiyu Shi, Jingtong Hu, Xiaowei Xu, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise

Ulf Schlichtmann, Bing Li, Tsung-Yi Ho, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs

Yiyu Shi, Jingtong Hu, Zhenge Jia, 2021, 2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC).

Towards Advantages of Parameterized Quantum Pulses

P. Kogge, Tongyang Li, Yiyu Shi, 2023, 2304.09253.

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper)

Jinjun Xiong, Yiyu Shi, Shanglin Zhou, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

A co-design framework of neural networks and quantum circuits towards quantum advantage

Jinjun Xiong, Weiwen Jiang, Yiyu Shi, 2020, Nature Communications.

Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits pdf

Jinjun Xiong, Weiwen Jiang, Yiyu Shi, 2020, ArXiv.

Efficient Location Identification of Multiple Line Outages With Limited PMUs in Smart Grids

Jinjun Xiong, Yiyu Shi, Jie Wu, 2015, IEEE Transactions on Power Systems.

Phasor Measurement Unit Placement for Identifying Power Line Outages in Wide-Area Transmission System Monitoring

Hao Zhu, Yiyu Shi, Hao Zhu, 2014, 2014 47th Hawaii International Conference on System Sciences.

Ambiguity group based location recognition for multiple power line outages in smart grids

Jie Wu, Jinjun Xiong, Yiyu Shi, 2014, ISGT 2014.

A novel risk stratification model for STEMI after primary PCI: global longitudinal strain and deep neural network assisted myocardial contrast echocardiography quantitative analysis

Yiyu Shi, J. Chen, S. Cao, 2023, Frontiers in Cardiovascular Medicine.

A deep learning approach with temporal consistency for automatic myocardial segmentation of quantitative myocardial contrast echocardiography

Yiyu Shi, Dewen Zeng, Meiping Huang, 2021, The International Journal of Cardiovascular Imaging.

ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection

Yiyu Shi, Xiaowei Xu, Jiawei Zhang, 2021, Frontiers in Physiology.

The larger the fairer?: small neural networks can achieve fairness for edge devices

Yiyu Shi, Jingtong Hu, Lei Yang, 2022, DAC.

Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off

Jinjun Xiong, Jinglan Liu, Yiyu Shi, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms pdf

Jinjun Xiong, Yiyu Shi, Jinglan Liu, 2019, ArXiv.

RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search pdf

Yiyu Shi, Xiaobo Sharon Hu, Weiwen Jiang, 2021, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).

Federated Contrastive Learning for Volumetric Medical Image Segmentation

Yiyu Shi, Dewen Zeng, Yawen Wu, 2022, MICCAI.

Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference

Yiyu Shi, Edwin H.-M. Sha, Qingfeng Zhuge, 2019, ACM Trans. Embed. Comput. Syst..

Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach

Qi Liu, Wujie Wen, Tao Liu, 2020, MICCAI.

When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design

Jingtong Hu, Xinyi Zhang, Yiyu Shi, 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays (Invited Paper)

Yiyu Shi, Dewen Zeng, John N. Kheir, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation

Mei Tian, Cheng Zhuo, Jinlong Zhao, 2020, MICCAI.

Personalized Neural Network for Patient-Specific Health Monitoring in IoT: A Metalearning Approach

Yiyu Shi, Jingtong Hu, Zhenge Jia, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation

Yiyu Shi, Cheng Zhuo, Shunjie Dong, 2022, Medical Image Anal..

Real-Time Adversarial Attacks pdf

Christian Poellabauer, Yiyu Shi, Boyang Li, 2019, IJCAI.

Resource constrained cellular neural networks for real-time obstacle detection using FPGAs

Yiyu Shi, Qing Lu, Tianchen Wang, 2018, 2018 19th International Symposium on Quality Electronic Design (ISQED).

From Layout to System: Early Stage Power Delivery and Architecture Co-Exploration

Yiyu Shi, Cheng Zhuo, Kassan Unda, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence

Jingtong Hu, Weichen Liu, Weiwen Jiang, 2020, 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start

Jingtong Hu, Weiwen Jiang, Sakyasingha Dasgupta, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Hardware/Software Co-Exploration of Neural Architectures

Yiyu Shi, Edwin H.-M. Sha, Shouzhen Gu, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

Lei Yang, Yiyu Shi, Edwin Hsing-Mean Sha, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies

Masanori Hashimoto, Cheng Zhuo, Xichuan Zhou, 2019, 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

Generative adversarial network based scalable on-chip noise sensor placement

Yiyu Shi, Ulf Schlichtmann, Jianlei Yang, 2017, 2017 30th IEEE International System-on-Chip Conference (SOCC).

Distributed Contrastive Learning for Medical Image Segmentation

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2022, Medical Image Anal..

Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks

Yiyu Shi, Zhenge Jia, Lichuan Ping, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Exploiting Computation Power of Blockchain for Biomedical Image Segmentation

Yiyu Shi, Xiaowei Xu, Boyang Li, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability

Jinjun Xiong, Yiyu Shi, Meng Jiang, 2018, CIKM.

Additional Positive Enables Better Representation Learning for Medical Images

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2023, MICCAI.

A Multi-Level-Optimization Framework for FPGA-Based Cellular Neural Network Implementation

Yiyu Shi, Cheng Zhuo, Zhongyang Liu, 2018, ACM J. Emerg. Technol. Comput. Syst..

Distributed Unsupervised Visual Representation Learning with Fused Features pdf

Yiyu Shi, Meng Li, Dewen Zeng, 2021, ArXiv.

On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks

Jinjun Xiong, Jinglan Liu, Yiyu Shi, 2018, ICLR.

Energy-recycling Blockchain with Proof-of-Deep-Learning

Yiyu Shi, Boyang Li, Taeho Jung, 2019, 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).

Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators

Xiaowei Xu, Meng Jiang, Jinglan Liu, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices

Yawen Wu, Yiyu Shi, J. Hu, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming

Jinjun Xiong, Wenjian Yu, Yiyu Shi, 2017, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

A mining pool solution for novel proof-of-neural-architecture consensus

Yiyu Shi, Taeho Jung, Weiwen Jiang, 2021, 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).

Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

X. Hu, Yiyu Shi, J. Hu, 2019, IEEE Transactions on Computers.

On Neural Architecture Search for Resource-Constrained Hardware Platforms pdf

Jingtong Hu, Weiwen Jiang, Qing Lu, 2019, ArXiv.

On the Viability of Using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators

Yiyu Shi, Zheyu Yan, X. Hu, 2023, 2023 IEEE 36th International System-on-Chip Conference (SOCC).

Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators

Wujie Wen, Yiyu Shi, Zheyu Yan, 2023, ArXiv.

Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?

X. Hu, Yiyu Shi, Zheyu Yan, 2022, 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

SWIM: selective write-verify for computing-in-memory neural accelerators

X. Hu, Yiyu Shi, Zheyu Yan, 2022, DAC.

Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices

Yiyu Shi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Uncertainty Modeling of Emerging Device based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search

Yiyu Shi, Xiaobo Sharon Hu, Da-Cheng Juan, 2021, 2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC).

Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation

Jingtong Hu, Weiwen Jiang, Jian Zhuang, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition

Takashi Sato, Yiyu Shi, Masayuki Hiromoto, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NASS: Optimizing Secure Inference via Neural Architecture Search

Takashi Sato, Weiwen Jiang, Qing Lu, 2020, ECAI.

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

Xiaobo Sharon Hu, Lin Yang, Danny Ziyi Chen, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Novel applications of deep learning hidden features for adaptive testing

Jinjun Xiong, Yiyu Shi, Bingjun Xiao, 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

Yiyu Shi, Jianyi Yang, Bingqian Lu, 2021, Proc. ACM Meas. Anal. Comput. Syst..

A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators

Yiyu Shi, Shaolei Ren, Zheyu Yan, 2022, ArXiv.

BUNET: Blind Medical Image Segmentation Based on Secure UNET

Xiaowei Xu, Takashi Sato, Weiwen Jiang, 2020, MICCAI.

Integrating memristors and CMOS for better AI

Bike Xie, Weiwen Jiang, Yiyu Shi, 2019, Nature Electronics.

Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation

Yiyu Shi, Yu-Jen Chen, Tsung-Yi Ho, 2023, 2306.03878.

On the Efficacy of Through-Silicon-Via Inductors

Yiyu Shi, Umamaheswara Rao Tida, Cheng Zhuo, 2015, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Stochastic Optimization Over Correlated Data Set: A Case Study on VLSI Decoupling Capacitance Budgeting

Jinjun Xiong, Yiyu Shi, Lei He, 2011 .

Efficient decoupling capacitance budgeting considering operation and process variations

Jinjun Xiong, Lei He, Yiyu Shi, 2007, 2007 IEEE/ACM International Conference on Computer-Aided Design.

Self-Supervised On-Device Federated Learning From Unlabeled Streams

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning

Jingtong Hu, Yawen Wu, Yiyu Shi, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2022, ArXiv.

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation

Yiyu Shi, Xinrong Hu, Yejia Zhang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MSU-Net : Multiscale Statistical U-Net for Real-time 3 D Cardiac MRI Video Segmentation

Jinjun Xiong, Yiyu Shi, Conv, 2019 .

Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective

Jian Zhuang, Tsung-Yi Ho, Wujie Wen, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Ultracompact Single‐Ferroelectric Field‐Effect Transistor Binary and Multibit Associative Search Engine

Yiyu Shi, T. Kämpfe, R. Olivo, 2023, Advanced Intelligent Systems.

Orchestrating Medical Image Compression and Remote Segmentation Networks

Qi Liu, Wujie Wen, Tao Liu, 2020, MICCAI.

Reliable and Robust RRAM-based Neuromorphic Computing

Grace Li Zhang, Ulf Schlichtmann, Bing Li, 2020, ACM Great Lakes Symposium on VLSI.

Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2022, AAAI.

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper)

Yiyu Shi, Lei Yang, Dewen Zeng, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast

Yiyu Shi, Dewen Zeng, Yawen Wu, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study

Hao Liu, Diyin Tang, Jinsong Yu, 2019, Appl. Soft Comput..

: Yield Estimation Parametric Yield Estimation for SRAM Cells : Concepts , Algorithms and Challenges

Yiyu Shi, Lei He, Lei He, 2010 .

DraXRouter: global routing in X-architecture with dynamic resource assignment

Yu Hu, Yiyu Shi, Zhen Cao, 2006, Asia and South Pacific Conference on Design Automation, 2006..

Memcomputing: The cape of good hope: [Extended special session description]

Yiyu Shi, Hung-Ming Chen, Yiyu Shi, 2014, DATE.

An Analytical Placement Framework for 3-D ICs and Its Extension on Thermal Awareness

Jason Cong, Yiyu Shi, Guojie Luo, 2013, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

On the futility of thermal through-silicon-vias

Yiyu Shi, Hao Yu, Shih-Chieh Chang, 2013, 2013 International Symposium onVLSI Design, Automation, and Test (VLSI-DAT).

Thermal-aware cell and through-silicon-via co-placement for 3D ICs

Jason Cong, Yiyu Shi, Guojie Luo, 2011, 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC).

Single-Inductor–Multiple-Tier Regulation: TSV-Inductor-Based On-Chip Buck Converters for 3-D IC Power Delivery

Yiyu Shi, Umamaheswara Rao Tida, Cheng Zhuo, 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design

Tongyang Li, Xuehai Qian, Yiyu Shi, 2023, 2307.08191.

TorchQuantum Case Study for Robust Quantum Circuits

Yiyu Shi, D. Pan, Yongshan Ding, 2022, International Conference on Computer Aided Design.

Modeling and Optimization of Magnetic Core TSV-Inductor for On-Chip DC-DC Converter

Yiyu Shi, Umamaheswara Rao Tida, Cheng Zhuo, 2018, 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts

Yiyu Shi, Qi Li, Xueying Wang, 2019, WWW.

Ct Image Denoising With Encoder-Decoder Based Graph Convolutional Networks

Yiyu Shi, Meiping Huang, Haiyun Yuan, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation

Yiyu Shi, Kuangyu Shi, Cheng Zhuo, 2023, IEEE Transactions on Medical Imaging.

Exploring demand flexibility in heterogeneous aggregators

Soummya Kar, Yiyu Shi, Chenye Wu, 2014, ACM Trans. Embed. Comput. Syst..

Circuit simulation based obstacle-aware Steiner routing

Yiyu Shi, Hao Yu, Lei He, 2006, 2006 43rd ACM/IEEE Design Automation Conference.

Triggered-Issuance and Triggered-Execution: A Control Paradigm to Minimize Pipeline Stalls in Distributed Controlled Coarse-Grained Reconfigurable Arrays

Yiyu Shi, Yangdong Deng, Leibo Liu, 2018, IEEE Transactions on Parallel and Distributed Systems.

Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks

Yiyu Shi, Xiaobo Sharon Hu, Qing Lu, 2017, 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation

Jinjun Xiong, Xiaowei Xu, Jian Zhuang, 2020, MIDL.

Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models

Yiyu Shi, J. Hu, Yi Sheng, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design

Tongyang Li, Xuehai Qian, Yiyu Shi, 2023, 2307.08191.

Fidelity estimator, randomized benchmarking and ZNE for quantum pulses

Tongyang Li, Xuehai Qian, Yiyu Shi, 2023, 2305.12597.

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

Kaleem Nawaz Khan, X. Li, Yiyu Shi, 2022, Comput. Medical Imaging Graph..

Multi-threading based parallel dynamic simulator for transient behavior analysis of power systems

Jie Wu, Jinjun Xiong, Yiyu Shi, 2015, 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm).

On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection

Yiyu Shi, Zhenge Jia, Samir Saba, 2021, ACM Trans. Embed. Comput. Syst..

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning

Yiyu Shi, Dewen Zeng, Jingtong Hu, 2022, ArXiv.

A Novel Fully Synthesizable All-Digital RF Transmitter for IoT Applications

Yiyu Shi, Mau-Chung Frank Chang, Tatsuo Itoh, 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation

Yiyu Shi, Xinrong Hu, Corey Wang, 2022, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

EffiTest2: Efficient Delay Test and Prediction for Post-Silicon Clock Skew Configuration Under Process Variations

Yiyu Shi, Ulf Schlichtmann, Jiang Hu, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems

Jingtong Hu, Zhenge Jia, Feng Hong, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Quantization Through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space

Yiyu Shi, Jingtong Hu, Xiaowei Xu, 2023, 2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC).