Yiyu Shi
Orcid: 0000-0002-6788-9823Affiliations:
- University of Notre Dame, Sustainable Computing Laboratory, USA
- Missouri University of Science and Technology, USA (former)
- University of California, Los Angeles, USA (former)
According to our database1,
Yiyu Shi
authored at least 322 papers
between 2006 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Pattern Recognit., 2025
2024
EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2024
CHARM 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal ACAP Architecture.
ACM Trans. Reconfigurable Technol. Syst., September, 2024
Compute-in-Memory-Based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., August, 2024
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2024
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024
Medical Image Anal., 2024
HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy.
Expert Syst. Appl., 2024
A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection.
CoRR, 2024
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective.
CoRR, 2024
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning.
CoRR, 2024
An Adaptive System for Wearable Devices to Detect Stress Using Physiological Signals.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation.
CoRR, 2024
Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client.
CoRR, 2024
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures.
CoRR, 2024
Towards Data-center Level Carbon Modeling and Optimization for Deep Learning Inference.
CoRR, 2024
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
CoRR, 2024
CoRR, 2024
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models.
CoRR, 2024
A Reconfigurable Bandpass Filter with Ferroelectric Devices for Intracardiac Electrograms Monitoring.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Automatic Segment-Level Assessment of Regional Wall Motion Abnormality From Echocardiography Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration.
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper).
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph., October, 2023
Nat. Mac. Intell., July, 2023
An Ultracompact Single-Ferroelectric Field-Effect Transistor Binary and Multibit Associative Search Engine.
Adv. Intell. Syst., July, 2023
IEEE Trans. Medical Imaging, June, 2023
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter-defibrillators.
Nat. Mac. Intell., May, 2023
AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images.
Medical Image Anal., May, 2023
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.
CoRR, 2023
CoRR, 2023
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation.
CoRR, 2023
Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators.
CoRR, 2023
On the Viability of Using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 14th International Green and Sustainable Computing Conference, 2023
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
AccALS: Accelerating Approximate Logic Synthesis by Selection of Multiple Local Approximate Changes.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Demo: Addressing Inter-Intra Patient Variability via Personalized Meta-Federated Learning in IoT-Enabled Health Monitoring.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023
Enhance Regional Wall Segmentation by Style Transfer for Regional Wall Motion Assessment.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023
Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Nat. Mac. Intell., December, 2022
ACM Trans. Design Autom. Electr. Syst., 2022
Personalized Neural Network for Patient-Specific Health Monitoring in IoT: A Metalearning Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.
IEEE Trans. Computers, 2022
Medical Image Anal., 2022
Medical Image Anal., 2022
Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications.
ACM J. Emerg. Technol. Comput. Syst., 2022
Development of A Real-time POCUS Image Quality Assessment and Acquisition Guidance System.
CoRR, 2022
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning.
CoRR, 2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR, 2022
CoRR, 2022
Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning.
CoRR, 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis.
CoRR, 2022
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization.
CoRR, 2022
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus.
CoRR, 2022
CoRR, 2022
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt.
CoRR, 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators.
CoRR, 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning.
CoRR, 2022
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation.
CoRR, 2022
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Maiby's Algorithm: A Two-Stage Deep Learning Approach for Murmur Detection in Mel Spectrograms for Automatic Auscultation of Congenital Heart Disease.
Proceedings of the Computing in Cardiology, 2022
ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection.
ACM Trans. Embed. Comput. Syst., 2021
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators.
IEEE Trans. Computers, 2021
Proc. ACM Meas. Anal. Comput. Syst., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021
ACM J. Emerg. Technol. Comput. Syst., 2021
CoRR, 2021
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
CoRR, 2021
CoRR, 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow.
CoRR, 2021
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection.
CoRR, 2021
A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.
Int. J. Comput. Assist. Radiol. Surg., 2021
AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.
Commun. ACM, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography.
Proceedings of the Information Processing in Medical Imaging, 2021
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021
Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Uncertainty Modeling of Emerging Device based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Dynamic Frequency Scaling Aware Opportunistic Through-Silicon-Via Inductor Utilization in Resonant Clocking.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis.
CoRR, 2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems.
CoRR, 2020
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits.
CoRR, 2020
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
2019
Single-Inductor-Multiple-Tier Regulation: TSV-Inductor-Based On-Chip Buck Converters for 3-D IC Power Delivery.
IEEE Trans. Very Large Scale Integr. Syst., 2019
ACM Trans. Embed. Comput. Syst., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
EffiTest2: Efficient Delay Test and Prediction for Post-Silicon Clock Skew Configuration Under Process Variations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
MDA: A Reconfigurable Memristor-Based Distance Accelerator for Time Series Mining on Data Centers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
Entropy Production-Based Full-Chip Fatigue Analysis: From Theory to Mobile Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
Optimal design of a low-power, phase-switching modulator for implantable medical applications.
Integr., 2019
CoRR, 2019
Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms.
CoRR, 2019
A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts.
Proceedings of the World Wide Web Conference, 2019
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
Privacy-Aware Cost-Effective Scheduling Considering Non-Schedulable Appliances in Smart Home.
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019
XFER: A Novel Design to Achieve Super-Linear Performance on Multiple FPGAs for Real-Time AI.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Fast and Accurate Emissivity and Absolute Temperature Maps Measurement for Integrated Circuits.
IEEE Trans. Very Large Scale Integr. Syst., 2018
Combating Data Leakage Trojans in Commercial and ASIC Applications With Time-Division Multiplexing and Random Encoding.
IEEE Trans. Very Large Scale Integr. Syst., 2018
Triggered-Issuance and Triggered-Execution: A Control Paradigm to Minimize Pipeline Stalls in Distributed Controlled Coarse-Grained Reconfigurable Arrays.
IEEE Trans. Parallel Distributed Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
A Multi-Level-Optimization Framework for FPGA-Based Cellular Neural Network Implementation.
ACM J. Emerg. Technol. Comput. Syst., 2018
Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.
ACM J. Emerg. Technol. Comput. Syst., 2018
A physics-aware methodology for equivalent circuit model extraction of TSV-inductors.
Integr., 2018
Resource constrained cellular neural networks for real-time obstacle detection using FPGAs.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017
Resource constrained real-time lane-vehicle detection for advanced driver assistance on mobile devices.
Proceedings of the Symposium on Applied Computing, 2017
Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization.
Proceedings of the Neuromorphic Computing Symposium, 2017
Proceedings of the Neuromorphic Computing Symposium, 2017
Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
An Efficient Memristor-based Distance Accelerator for Time Series Data Mining on Data Centers.
Proceedings of the 54th Annual Design Automation Conference, 2017
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
Pattern based runtime voltage emergency prediction: An instruction-aware block sparse compressed sensing approach.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
2016
ACM Trans. Design Autom. Electr. Syst., 2016
Obstacle-Avoiding Wind Turbine Placement for Power Loss and Wake Effect Optimization.
ACM Trans. Design Autom. Electr. Syst., 2016
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016
Selective body biasing for post-silicon tuning of sub-threshold designs: A semi-infinite programming approach with Incremental Hypercubic Sampling.
Integr., 2016
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016
Proceedings of the 35th International Conference on Computer-Aided Design, 2016
RECORD: Temporarily Randomized Encoding of COmbinational Logic for Resistance to Data Leakage from hardware Trojan.
Proceedings of the 2016 IEEE Asian Hardware-Oriented Security and Trust, 2016
A novel cross-layer framework for early-stage power delivery and architecture co-exploration.
Proceedings of the 53rd Annual Design Automation Conference, 2016
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016
2015
IEEE Trans. Very Large Scale Integr. Syst., 2015
IEEE Trans. Very Large Scale Integr. Syst., 2015
Fast Random Walk Based Capacitance Extraction for the 3-D IC Structures With Cylindrical Inter-Tier-Vias.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015
Selective Body Biasing for Post-Silicon Tuning of Sub-Threshold Designs: An Adaptive Filtering Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015
ACM J. Emerg. Technol. Comput. Syst., 2015
Multi-threading based parallel dynamic simulator for transient behavior analysis of power systems.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015
Analytical Clustering Score with Application to Post-Placement Multi-Bit Flip-Flop Merging.
Proceedings of the 2015 Symposium on International Symposium on Physical Design, ISPD 2015, Monterey, CA, USA, March 29, 2015
Proceedings of the 2015 Symposium on International Symposium on Physical Design, ISPD 2015, Monterey, CA, USA, March 29, 2015
Optimal selected phasor measurement units for identifying multiple line outages in smart grid.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015
1-Bit Compressed Sensing Based Framework for Built-in Resonance Frequency Prediction Using On-Chip Noise Sensors.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015
Proceedings of the 52nd Annual Design Automation Conference, 2015
2014
IEEE Trans. Very Large Scale Integr. Syst., 2014
Exploring demand flexibility in heterogeneous aggregators: An LMP-based pricing scheme.
ACM Trans. Embed. Comput. Syst., 2014
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014
Multibit Retention Registers for Power Gated Designs: Concept, Design, and Deployment.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014
ACM J. Emerg. Technol. Comput. Syst., 2014
Variability-Aware Parametric Yield Estimation for Analog/Mixed-Signal Circuits: Concepts, Algorithms, and Challenges.
IEEE Des. Test, 2014
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
Optimal PMU placement for identification of multiple power line outages in smart grids.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014
Ambiguity group based location recognition for multiple power line outages in smart grids.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014
Random walk based capacitance extraction for 3D ICs with cylindrical inter-tier-vias.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014
Opportunistic through-silicon-via inductor utilization in LC resonant clocks: concept and algorithms.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014
Phasor Measurement Unit Placement for Identifying Power Line Outages in Wide-Area Transmission System Monitoring.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Yield and timing constrained spare TSV assignment for three-dimensional integrated circuits.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Critical Path Monitor Enabled Dynamic Voltage Scaling for Graceful Degradation in Sub-Threshold Designs.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014
2013
Order statistics for correlated random variables and its application to at-speed testing.
ACM Trans. Design Autom. Electr. Syst., 2013
An Analytical Placement Framework for 3-D ICs and Its Extension on Thermal Awareness.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013
Proceedings of the 2013 International Symposium on VLSI Design, Automation, and Test, 2013
Proceedings of the International Symposium on Physical Design, 2013
Benchmarking for research in power delivery networks of three-dimensional integrated circuits.
Proceedings of the International Symposium on Physical Design, 2013
Novel crack sensor for TSV-based 3D integrated circuits: design and deployment perspectives.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
2012
Worst-Case Estimation for Data-Dependent Timing Jitter and Amplitude Noise in High-Speed Differential Link.
IEEE Trans. Very Large Scale Integr. Syst., 2012
IEEE Trans. Instrum. Meas., 2012
Efficient Wakeup Scheduling Considering Both Resource Usage and Timing Budget for Power Gating Designs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012
Proceedings of Technical Program of 2012 VLSI Design, Automation and Test, 2012
Reliable Power Delivery System Design for Three-Dimensional Integrated Circuits (3D ICs).
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2012
Efficient on-line module-level wake-up scheduling for high performance multi-module designs.
Proceedings of the International Symposium on Physical Design, 2012
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012
Efficient multiple-bit retention register assignment for power gated design: Concept and algorithms.
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012
Capturing the phantom of the power grid - on the runtime adaptive techniques for noise reduction.
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012
2011
Runtime Resonance Noise Reduction with Current Prediction Enabled Frequency Actuator.
IEEE Trans. Very Large Scale Integr. Syst., 2011
Found. Trends Electron. Des. Autom., 2011
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011
Proceedings of the International SoC Design Conference, 2011
On the preconditioner of conjugate gradient method - A power grid simulation perspective.
Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011
Proceedings of the 48th Design Automation Conference, 2011
Proceedings of the 48th Design Automation Conference, 2011
2010
Fast Analysis of a Large-Scale Inductive Interconnect by Block-Structure-Preserved Macromodeling.
IEEE Trans. Very Large Scale Integr. Syst., 2010
EMPIRE: An Efficient and Compact Multiple-Parameterized Model-Order Reduction Method for Physical Optimization.
IEEE Trans. Very Large Scale Integr. Syst., 2010
Proceedings of the 2010 International Conference on Computer-Aided Design, 2010
Proceedings of the 47th Design Automation Conference, 2010
QuickYield: an efficient global-search based parametric yield estimation with performance constraints.
Proceedings of the 47th Design Automation Conference, 2010
2009
Proceedings of the 10th International Symposium on Quality of Electronic Design (ISQED 2009), 2009
Proceedings of the 2009 International Conference on Computer-Aided Design, 2009
Proceedings of the 2009 International Conference on Computer-Aided Design, 2009
Proceedings of the 46th Design Automation Conference, 2009
Incremental and on-demand random walk for iterative power distribution network analysis.
Proceedings of the 14th Asia South Pacific Design Automation Conference, 2009
Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction.
Proceedings of the 14th Asia South Pacific Design Automation Conference, 2009
2008
Thermal Via Allocation for 3-D ICs Considering Temporally and Spatially Variant Thermal Power.
IEEE Trans. Very Large Scale Integr. Syst., 2008
Efficient Decoupling Capacitance Budgeting Considering Operation and Process Variations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008
Temperature-aware clock tree synthesis considering spatiotemporal hot spot correlations.
Proceedings of the 26th International Conference on Computer Design, 2008
Proceedings of the 2008 IEEE International Behavioral Modeling and Simulation Workshop, 2008
2007
ACM Trans. Design Autom. Electr. Syst., 2007
Empire: an efficient and compact multiple-parameterized model order reduction method.
Proceedings of the 2007 International Symposium on Physical Design, 2007
2006
SAMSON: a generalized second-order arnoldi method for reducing multiple source linear network with susceptance.
Proceedings of the 2006 International Symposium on Physical Design, 2006
Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power.
Proceedings of the 2006 International Symposium on Low Power Electronics and Design, 2006
A fast block structure preserving model order reduction for inverse inductance circuits.
Proceedings of the 2006 International Conference on Computer-Aided Design, 2006
Fast analysis of structured power grid by triangularization based structure preserving model order reduction.
Proceedings of the 43rd Design Automation Conference, 2006
Proceedings of the 43rd Design Automation Conference, 2006
CDCTree: novel obstacle-avoiding routing tree construction based on current driven circuit model.
Proceedings of the 2006 Conference on Asia South Pacific Design Automation: ASP-DAC 2006, 2006
Proceedings of the 2006 Conference on Asia South Pacific Design Automation: ASP-DAC 2006, 2006