Xue Lin

Orcid: 0000-0003-0529-7408

According to our database1, Xue Lin authored at least 230 papers between 2006 and 2024.

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Bibliography

2024
Epidemic Spreading Over Multi-Layer Networks With Stubborn Agents.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks.
Found. Trends Priv. Secur., 2024

Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection.
CoRR, 2024

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning.
CoRR, 2024

Manifold-Regularized Feature Selector for High-Resolution Aerial Photographs Categorization.
IEEE Access, 2024

2023
Temporal Heterogeneous Information Network Embedding via Semantic Evolution.
IEEE Trans. Knowl. Data Eng., December, 2023

The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation.
Int. J. Hum. Comput. Stud., November, 2023

Effects of Motion-Relevant Knowledge From Unlabeled Video to Human-Object Interaction Detection.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Virtual Coupling-Based H<sub>∞</sub> Active Fault-Tolerant Cooperative Control for Multiple High-Speed Trains With Unknown Parameters and Actuator Faults.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023

Projected Generative Adversarial Network for Point Cloud Completion.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

Structure-Enriched Topology Learning For Cross-Domain Multi-Person Pose Estimation.
IEEE Trans. Multim., 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.
CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.
CoRR, 2023

Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
CoRR, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms.
Proceedings of the 32nd USENIX Security Symposium, 2023

Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Machine Learning Across Network-Connected FPGAs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-modal medical image classification method combining graph convolution neural networks.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Towards Real-Time Segmentation on the Edge.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Less is More: Data Pruning for Faster Adversarial Training.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
ACM Trans. Embed. Comput. Syst., September, 2022

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.
ACM Trans. Design Autom. Electr. Syst., 2022

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.
IEEE Trans. Neural Networks Learn. Syst., 2022

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?
IEEE Trans. Neural Networks Learn. Syst., 2022

Model-Free Adaptive Iterative Learning Bipartite Containment Control for Multi-Agent Systems.
Sensors, 2022

GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Stability and Bifurcation Analysis on a Fractional Model of Disease Spreading with Different Time Delays.
Neural Process. Lett., 2022

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed.
CoRR, 2022

HLA3D: an integrated structure-based computational toolkit for immunotherapy.
Briefings Bioinform., 2022

Integrating bioinformatic strategies in spatial life science research.
Briefings Bioinform., 2022

CFENet: Content-aware feature enhancement network for multi-person pose estimation.
Appl. Intell., 2022

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Image Classification of Alzheimer's Disease based on Residual Bilinear and Attentive Models.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Reverse Engineering of Imperceptible Adversarial Image Perturbations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Location-Free Human Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021
Motion-Aware Feature Enhancement Network for Video Prediction.
IEEE Trans. Circuits Syst. Video Technol., 2021

Improved disturbance-observer-based fault-tolerant control for the linear system subject to unknown actuator faults and multiple disturbances.
Int. J. Control, 2021

Editorial: Safe and Trustworthy Machine Learning.
Frontiers Big Data, 2021

ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA.
CoRR, 2021

Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search.
CoRR, 2021

High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
CoRR, 2021

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations.
CoRR, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification.
CoRR, 2021

MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation.
Comput. Biol. Medicine, 2021

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
Proceedings of the 30th USENIX Security Symposium, 2021

Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
Proceedings of the IEEE Security and Privacy Workshops, 2021

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers.
Proceedings of the 9th International Conference on Learning Representations, 2021

RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI.
Proceedings of CECNet 2021, 2021

Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Neural Networks-Based Sliding Mode Fault-Tolerant Control for High-Speed Trains With Bounded Parameters and Actuator Faults.
IEEE Trans. Veh. Technol., 2020

Information Propagation Over Networks With Antagonistic Interactions: The Equilibrium Analysis.
IEEE Trans. Control. Netw. Syst., 2020

Integral Knowledge Distillation for Multi-Person Pose Estimation.
IEEE Signal Process. Lett., 2020

A novel image retrieval method based on multi-features fusion.
Signal Process. Image Commun., 2020

Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices.
Parallel Comput., 2020

Graph matching based on local and global information of the graph nodes.
Multim. Tools Appl., 2020

Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device.
CoRR, 2020

Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework.
CoRR, 2020

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CoRR, 2020

Learned Fine-Tuner for Incongruous Few-Shot Learning.
CoRR, 2020

MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.
CoRR, 2020

Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.
CoRR, 2020

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
CoRR, 2020

Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection.
CoRR, 2020

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.
CoRR, 2020

Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack.
CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.
CoRR, 2020

Defending against Backdoor Attack on Deep Neural Networks.
CoRR, 2020

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
CoRR, 2020

Block Switching: A Stochastic Approach for Deep Learning Security.
CoRR, 2020

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.
CoRR, 2020

Competitive diffusion in signed social networks: A game-theoretic perspective.
Autom., 2020

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Alleviating Human-level Shift: A Robust Domain Adaptation Method for Multi-person Pose Estimation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.
Proceedings of the 8th International Conference on Learning Representations, 2020

New Passive and Active Attacks on Deep Neural Networks in Medical Applications.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Adversarial T-Shirt! Evading Person Detectors in a Physical World.
Proceedings of the Computer Vision - ECCV 2020, 2020

3D CNN Acceleration on FPGA using Hardware-Aware Pruning.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Certificated Model Robustness Against Weight Perturbations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression.
IEEE Trans. Sustain. Comput., 2019

Robust Adaptive Nonsingular Terminal Sliding Mode Control for Automatic Train Operation.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Opinion Propagation Over Signed Networks: Models and Convergence Analysis.
IEEE Trans. Autom. Control., 2019

Geographically Weighted Regression Effects on Soil Zinc Content Hyperspectral Modeling by Applying the Fractional-Order Differential.
Remote. Sens., 2019

A novel method for graph matching based on belief propagation.
Neurocomputing, 2019

Evading Real-Time Person Detectors by Adversarial T-shirt.
CoRR, 2019

Reweighted Proximal Pruning for Large-Scale Language Representation.
CoRR, 2019

Non-structured DNN Weight Pruning Considered Harmful.
CoRR, 2019

Interpreting Adversarial Examples by Activation Promotion and Suppression.
CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.
CoRR, 2019

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.
CoRR, 2019

Comparison of Patch-Based Approaches for Interferometric Phase Filtering.
Proceedings of the 2019 International Symposium on Signal Processing Systems, 2019

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
Proceedings of the 7th International Conference on Learning Representations, 2019

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Robustness vs. Model Compression, or Both?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Experiments of Interferometric Phase Filtering through Weighted Nuclear Norm Minimization.
Proceedings of the 2nd International Conference on Big Data Technologies, 2019

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Geometry-Based Stochastic Channel Model for the Millimeter-Wave Band in a 3GPP High-Speed Train Scenario.
IEEE Trans. Veh. Technol., 2018

Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations.
IEEE Trans. Very Large Scale Integr. Syst., 2018

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation.
Nano Commun. Networks, 2018

Reconfigurable Photovoltaic Systems for Electric Vehicles.
IEEE Des. Test, 2018

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers.
CoRR, 2018

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM.
CoRR, 2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.
CoRR, 2018

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
CoRR, 2018

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs.
CoRR, 2018

Service Sites Selection for Shared Bicycles Based on the Location Data of Mobikes.
IEEE Access, 2018

An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Defensive dropout for hardening deep neural networks under adversarial attacks.
Proceedings of the International Conference on Computer-Aided Design, 2018

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Finite-Time Consensus of Switched Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Neural adaptive fault-tolerant control for high-speed trains with input saturation and unknown disturbance.
Neurocomputing, 2017

Consensus of switched multi-agent systems with random networks.
Int. J. Control, 2017

Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model.
IET Cyper-Phys. Syst.: Theory & Appl., 2017

CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing.
IET Cyper-Phys. Syst.: Theory & Appl., 2017

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.
CoRR, 2017

Delta-operator based consensus analysis of multi-agent networks with link failures.
CoRR, 2017

Mixed H<sub>-</sub>/H<sub>∞</sub> fault detection filter design for the dynamics of high speed train.
Sci. China Inf. Sci., 2017

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.
Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Data center power management for regulation service using neural network-based power prediction.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Fast and energy-aware resource provisioning and task scheduling for cloud systems.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Reconfigurable thermoelectric generators for vehicle radiators energy harvesting.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

An imaging strategy for high-precision and wide-beam airborne SAR system.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

PID-type sliding mode fault-tolerant control for high-speed trains using neural networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016
Concurrent Task Scheduling and Dynamic Voltage and Frequency Scaling in a Real-Time Embedded System With Energy Harvesting.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

A Sparsity-Based InSAR Phase Denoising Algorithm Using Nonlocal Wavelet Shrinkage.
Remote. Sens., 2016

Negotiation-based resource provisioning and task scheduling algorithm for cloud systems.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

A nonlocal interferometric phase filtering strategy for practical InSAR system.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Power-aware virtual machine mapping in the data-center-on-a-chip paradigm.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment.
IEEE Trans. Serv. Comput., 2015

Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries.
IEEE Trans. Circuits Syst. II Express Briefs, 2015

Nonlocal SAR Interferometric Phase Filtering Through Higher Order Singular Value Decomposition.
IEEE Geosci. Remote. Sens. Lett., 2015

Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Study on effect factors of multisquint estimation of time-varying baseline errors in repeat-pass airborne SAR.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles.
Proceedings of the 52nd Annual Design Automation Conference, 2015

Reinforcement learning-based control of residential energy storage systems for electric bill minimization.
Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference, 2015

Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

Hierarchical Deployment and Control of Energy Storage Devices in Data Centers.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Single-Source, Single-Destination Charge Migration in Hybrid Electrical Energy Storage Systems.
IEEE Trans. Very Large Scale Integr. Syst., 2014

Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules.
IEEE Trans. Smart Grid, 2014

Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

Designing Fault-Tolerant Photovoltaic Systems.
IEEE Des. Test, 2014

Exponential Stabilization of Neutral-Type Neural Networks with Mixed Interval Time-Varying Delays by Intermittent Control: A CCL Approach.
Circuits Syst. Signal Process., 2014

5nm FinFET Standard Cell Library Optimization and Circuit Synthesis in Near-and Super-Threshold Voltage Regimes.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

FinCACTI: Architectural Analysis and Modeling of Caches with Deeply-Scaled FinFET Devices.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

Stack sizing analysis and optimization for FinFET logic cells and circuits operating in the sub/near-threshold regime.
Proceedings of the Fifteenth International Symposium on Quality Electronic Design, 2014

An improved logical effort model and framework applied to optimal sizing of circuits operating in multiple supply voltage regimes.
Proceedings of the Fifteenth International Symposium on Quality Electronic Design, 2014

Coordination of the smart grid and distributed data centers: A nested game-based optimization framework.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Topography- and aperture-dependent motion compensation for airborne SAR: A back projection approach.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Power supply and consumption co-optimization of portable embedded systems with hybrid power supply.
Proceedings of the 32nd IEEE International Conference on Computer Design, 2014

Reinforcement learning based power management for hybrid electric vehicles.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails.
Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014

Energy optimal sizing of FinFET standard cells operating in multiple voltage regimes using adaptive independent gate control.
Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014

Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

Semi-analytical current source modeling of FinFET devices operating in near/sub-threshold regime with independent gate control and considering process variation.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013
Robust passive filtering for neutral-type neural networks with time-varying discrete and unbounded distributed delays.
J. Frankl. Inst., 2013

A Nested Two Stage Game-Based Optimization Framework in Mobile Cloud Computing System.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Hierarchical dynamic power management using model-free reinforcement learning.
Proceedings of the International Symposium on Quality Electronic Design, 2013

A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting.
Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013

A sequential game perspective and optimization of the smart grid with distributed data centers.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

Joint sizing and adaptive independent gate control for FinFET circuits operating in multiple voltage regimes using the logical effort method.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

Optimal control of a grid-connected hybrid electrical energy storage system for homes.
Proceedings of the Design, Automation and Test in Europe, 2013

Capital cost-aware design and partial shading-aware architecture optimization of a reconfigurable photovoltaic system.
Proceedings of the Design, Automation and Test in Europe, 2013

An optimal control policy in a mobile cloud computing system based on stochastic data.
Proceedings of the IEEE 2nd International Conference on Cloud Networking, 2013

2012
Enhancing efficiency and robustness of a photovoltaic power system under partial shading.
Proceedings of the Thirteenth International Symposium on Quality Electronic Design, 2012

Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012

A method of airborne InSAR DEM reconstruction in layover areas.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Online fault detection and tolerance for photovoltaic energy harvesting systems.
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

State of health aware charge management in hybrid electrical energy storage systems.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects.
Proceedings of the 49th Annual Design Automation Conference 2012, 2012

2011
Socio-Technical Influences of Cyber Espionage: A Case Study of the GhostNet System.
Int. J. Technoethics, 2011

2009
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations.
BMC Bioinform., 2009

2006
A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database.
BMC Bioinform., 2006


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