Yanzhi Wang
Orcid: 0000-0002-3024-7990
According to our database1,
Yanzhi Wang
authored at least 501 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
A Lightweight Reprogramming Framework for Cross-Device Fault Diagnosis in Edge Computing.
IEEE Trans. Instrum. Meas., 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
DCFNet: Infrared and Visible Image Fusion Network Based on Discrete Wavelet Transform and Convolutional Neural Network.
Sensors, July, 2024
Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing.
IEEE Internet Things J., July, 2024
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024
Unveiling value patterns via deep reinforcement learning in heterogeneous data analytics.
Patterns, 2024
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router.
CoRR, 2024
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems.
CoRR, 2024
MPIPN: A Multi Physics-Informed PointNet for solving parametric acoustic-structure systems.
CoRR, 2024
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge.
CoRR, 2024
E<sup>2</sup>GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.
CoRR, 2024
Proceedings of the Serious Games - 10th Joint International Conference, 2024
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.
Proceedings of the 38th ACM International Conference on Supercomputing, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces.
IEEE/ACM Trans. Netw., December, 2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios.
Eng. Appl. Artif. Intell., November, 2023
IEEE Trans. Computers, May, 2023
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware.
IEEE Trans. Mob. Comput., March, 2023
AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions.
IEEE Netw., 2023
ACM Comput. Surv., 2023
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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
MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
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
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Condense: A Framework for Device and Frequency Adaptive Neural Network Models 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
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Floating Gate Transistor-Based Accurate Digital In-Memory Computing for Deep Neural Networks.
Adv. Intell. Syst., December, 2022
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
ACM Trans. Embed. Comput. Syst., September, 2022
IEEE Trans. Parallel Distributed Syst., 2022
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.
ACM Trans. Design Autom. Electr. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Multim., 2022
IEEE Trans. Mob. Comput., 2022
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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
A survey for deep reinforcement learning in markovian cyber-physical systems: Common problems and solutions.
Neural Networks, 2022
Knowl. Based Syst., 2022
IEEE Internet Things Mag., 2022
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices.
CoRR, 2022
CoRR, 2022
Student-AI Creative Writing: Pedagogical Strategies for Applying Natural Language Generation in Schools.
CoRR, 2022
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks.
CoRR, 2022
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Design and Implementation of Stochastic Neural Networks Using Superconductor Quantum-Flux-Parametron Devices.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022
Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles.
Proceedings of the IEEE Real-Time Systems Symposium, 2022
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 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
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression.
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
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
DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
What drives patients to choose a physician online? A study based on tree models and SHAP values.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
IEEE/ACM Trans. Netw., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration.
IEEE J. Solid State Circuits, 2021
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference.
IEEE J. Solid State Circuits, 2021
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking.
IEEE J. Sel. Areas Commun., 2021
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA.
CoRR, 2021
CoRR, 2021
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression.
CoRR, 2021
CoRR, 2021
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design.
Commun. ACM, 2021
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform.
Appl. Intell., 2021
Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 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
Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021
DNNFusion: accelerating deep neural networks execution with advanced operator fusion.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
MC<sup>2</sup>-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Investigating Digital Literacy Skills in Examination-Oriented Education System for the Post-Pandemic Era.
Proceedings of the ICETM 2021: 4th International Conference on Education Technology Management, Tokyo, Japan, December 17, 2021
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021
TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
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
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
Proceedings of CECNet 2021, 2021
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application.
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
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Circuits Syst., 2020
Guest Editors' Introduction to the Special Issue on Machine Learning Architectures and Accelerators.
IEEE Trans. Computers, 2020
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CoRR, 2020
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR, 2020
CoRR, 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.
CoRR, 2020
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.
CoRR, 2020
CoRR, 2020
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks.
CoRR, 2020
CoRR, 2020
CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way.
CoRR, 2020
CoRR, 2020
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency.
CoRR, 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.
CoRR, 2020
CoRR, 2020
CCF Trans. High Perform. Comput., 2020
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020
SympleGraph: distributed graph processing with precise loop-carried dependency guarantee.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020
Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications.
Proceedings of the HealthDL@MobiSys 2020, 2020
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020
Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
Accurate and Energy-Efficient Implementation of Non-Linear Adder in Parallel Stochastic Computing using Sorting Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 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
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture.
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
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
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
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
IEEE Trans. Sustain. Comput., 2019
Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee.
ACM Trans. Comput. Syst., 2019
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning.
IEEE J. Sel. Areas Commun., 2019
Normalization and dropout for stochastic computing-based deep convolutional neural networks.
Integr., 2019
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology.
CoRR, 2019
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
CoRR, 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness.
CoRR, 2019
CoRR, 2019
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone.
CoRR, 2019
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning.
CoRR, 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.
CoRR, 2019
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019
ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019
A 65nm 0.39-to-140.3TOPS/W 1-to-12b Unified Neural Network Processor Using Block-Circulant-Enabled Transpose-Domain Acceleration with 8.1 × Higher TOPS/mm<sup>2</sup>and 6T HBST-TRAM-Based 2D Data-Reuse Architecture.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019
Proceedings of the 20th International Symposium on Quality Electronic Design, 2019
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology.
Proceedings of the 46th International Symposium on Computer Architecture, 2019
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
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019
Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization.
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019
Proceedings of the 26th IEEE International Conference on High Performance Computing, 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
A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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, 2019
A Sparse-Adaptive CNN Processor with Area/Performance balanced N-Way Set-Associate PE Arrays Assisted by a Collision-Aware Scheduler.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 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
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
Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations.
IEEE Trans. Very Large Scale Integr. Syst., 2018
An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes.
IEEE Trans. Emerg. Top. Comput., 2018
IEEE Trans. Computers, 2018
Model-free Control for Distributed Stream Data Processing using Deep Reinforcement Learning.
Proc. VLDB Endow., 2018
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation.
Nano Commun. Networks, 2018
A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars.
Nano Commun. Networks, 2018
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
IEEE J. Emerg. Sel. Topics Circuits Syst., 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
CoRR, 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018
A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-negative Matrices.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018
Proceedings of the 55th Annual Design Automation Conference, 2018
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 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
Security analysis and enhancement of model compressed deep learning systems under adversarial attacks.
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
ACM Trans. Design Autom. Electr. Syst., 2017
Optimal Control of PEVs with a Charging Aggregator Considering Regulation Service Provisioning.
ACM Trans. Cyber Phys. Syst., 2017
IEEE Trans. Circuits Syst. II Express Briefs, 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
IEEE Des. Test, 2017
CoRR, 2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.
CoRR, 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.
CoRR, 2017
Bioinform., 2017
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 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
A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting.
Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, 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
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Improving contour accuracy of a 2-DOF planar parallel kinematic machine by smart structure based compensation method.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 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
Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs.
Proceedings of the IEEE International Conference on Communications, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017
Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017
Structural design optimization for deep convolutional neural networks using stochastic computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Proceedings of the 54th Annual Design Automation Conference, 2017
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing.
Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017
Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
Towards acceleration of deep convolutional neural networks using stochastic computing.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 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
IEEE Trans. Circuits Syst. II Express Briefs, 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
Model-Free Reinforcement Learning and Bayesian Classification in System-Level Power Management.
IEEE Trans. Computers, 2016
J. Electr. Comput. Eng., 2016
Properness-based blind mitigation of feedback impairments in digital pre-distortion system.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016
Standard cell library based layout characterization and power analysis for 10nm gate-all-around (GAA) transistors.
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars.
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016
Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016
Maximizing the performance of NoC-based MPSoCs under total power and power density constraints.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016
Negotiation-based resource provisioning and task scheduling algorithm for cloud systems.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Designing reconfigurable large-scale deep learning systems using stochastic computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016
Proceedings of the 34th IEEE International Conference on Computer Design, 2016
DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks.
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
Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting.
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
Area-Efficient Error-Resilient Discrete Fourier Transformation Design using Stochastic Computing.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016
Neural Network-based Prediction Algorithms for In-Door Multi-Source Energy Harvesting System for Non-Volatile Processors.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016
Charging state aware optimal auction design for sensor selection in crowdsourcing based sensor networks.
Proceedings of the 19th International Conference on Information Fusion, 2016
Optimal energy allocation and storage control for distributed estimation with sensor collaboration.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Optimal co-scheduling of HVAC control and battery management for energy-efficient buildings considering state-of-health degradation.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 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
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015
Hierarchical power management of a system with autonomously power-managed components using reinforcement learning.
Integr., 2015
Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Proceedings of the Sixteenth International Symposium on Quality Electronic Design, 2015
Optimal choice of FinFET devices for energy minimization in deeply-scaled technologies.
Proceedings of the Sixteenth International Symposium on Quality Electronic Design, 2015
Reconfigurable three dimensional photovoltaic panel architecture for solar-powered time extension.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015
Design and optimization of a reconfigurable power delivery network for large-area, DVS-enabled OLED displays.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015
Multi-source energy harvesting management and optimization for non-volatile processors.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015
Layout Characterization and Power Density Analysis for Shorted-Gate and Independent-Gate 7nm FinFET Standard Cells.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015
Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015
Efficiency-driven design time optimization of a hybrid energy storage system with networked charge transfer interconnect.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015
Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015
Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique.
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
Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation.
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
A cross-layer framework for designing and optimizing deeply-scaled FinFET-based SRAM cells under process variations.
Proceedings of the 20th Asia and South Pacific Design Automation 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
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015
A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center.
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
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
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014
Designing soft-edge flip-flop-based linear pipelines operating in multiple supply voltage regimes.
Integr., 2014
Negotiation-based task scheduling to minimize user's electricity bills under dynamic energy prices.
Proceedings of the IEEE Online Conference on Green Communications, 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
An efficient semi-analytical current source model for FinFET devices in near/sub-threshold regime considering multiple input switching and stack effect.
Proceedings of the Fifteenth International Symposium on Quality Electronic Design, 2014
Dynamic thermal management for FinFET-based circuits exploiting the temperature effect inversion phenomenon.
Proceedings of the International Symposium on Low Power Electronics and Design, 2014
Proceedings of the International Symposium on Low Power Electronics and 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
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014
Model-free learning-based online management of hybrid electrical energy storage systems in electric vehicles.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
Variation-aware joint optimization of the supply voltage and sleep transistor size for the 7nm FinFET technology.
Proceedings of the 32nd IEEE International Conference on Computer Design, 2014
Proceedings of the 32nd IEEE International Conference on Computer Design, 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
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014
Optimal offloading control for a mobile device based on a realistic battery model and semi-markov decision process.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014
An optimization framework for data centers to minimize electric bill under day-ahead dynamic energy prices while providing regulation services.
Proceedings of the International Green Computing Conference, 2014
7nm FinFET standard cell layout characterization and power density prediction in near- and super-threshold voltage regimes.
Proceedings of the International Green Computing Conference, 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
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 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
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
FEPMA: Fine-grained event-driven power meter for android smartphones based on device driver layer event monitoring.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
An energy-aware fault tolerant scheduling framework for soft error resilient cloud computing systems.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Concurrent placement, capacity provisioning, and request flow control for a distributed cloud infrastructure.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Cost-effective design of a hybrid electrical energy storage system for electric vehicles.
Proceedings of the 2014 International Conference on Hardware/Software Codesign and System Synthesis, 2014
Proceedings of the 2014 International Conference on Hardware/Software Codesign and System Synthesis, 2014
Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 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
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013
Accurate Modeling of the Delay and Energy Overhead of Dynamic Voltage and Frequency Scaling in Modern Microprocessors.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013
Found. Trends Electron. Des. Autom., 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
A nested game-based optimization framework for electricity retailers in the smart grid with residential users and PEVs.
Proceedings of the IEEE Online Conference on Green Communications, OnlineGreenComm 2013, 2013
Proceedings of the International Symposium on Quality Electronic Design, 2013
Resource allocation and consolidation in a multi-core server cluster using a Markov decision process model.
Proceedings of the International Symposium on Quality Electronic Design, 2013
Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013
Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 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
A game-theoretic price determination algorithm for utility companies serving a community in smart grid.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013
Semi-analytical current source modeling of near-threshold operating logic cells considering process variations.
Proceedings of the 2013 IEEE 31st International Conference on Computer Design, 2013
Dynamic thermal management in mobile devices considering the thermal coupling between battery and application processor.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 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
Variability-aware design of energy-delay optimal linear pipelines operating in the near-threshold regime and above.
Proceedings of the Great Lakes Symposium on VLSI 2013 (part of ECRC), 2013
A semi-Markovian decision process based control method for offloading tasks from mobile devices to the cloud.
Proceedings of the 2013 IEEE Global Communications Conference, 2013
Reinforcement Learning-Based Dynamic Power Management of a Battery-Powered System Supplying Multiple Active Modes.
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 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
A new paradigm for trading off yield, area and performance to enhance performance per wafer.
Proceedings of the Design, Automation and Test in Europe, 2013
Designing a residential hybrid electrical energy storage system based on the energy buffering strategy.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013
An energy and deadline aware resource provisioning, scheduling and optimization framework for cloud systems.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 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
Maximizing return on investment of a grid-connected hybrid electrical energy storage system.
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems.
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
Online estimation of the remaining energy capacity in mobile systems considering system-wide power consumption and battery characteristics.
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
2012
Proceedings of the Integrated Circuit and System Design. Power and Timing Modeling, 2012
Profit maximization for utility companies in an oligopolistic energy market with dynamic prices.
Proceedings of the IEEE Online Conference on Green Communications, 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
Proceedings of the International Symposium on Low Power Electronics and Design, 2012
Proceedings of the International Symposium on Low Power Electronics and Design, 2012
Proceedings of the 30th International IEEE Conference on Computer Design, 2012
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012
Multiple-source and multiple-destination charge migration 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
Proceedings of the 49th Annual Design Automation Conference 2012, 2012
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012
2011
Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems.
Proceedings of the 2011 International Symposium on Low Power Electronics and Design, 2011
Proceedings of the 2011 International Symposium on Low Power Electronics and Design, 2011
Balanced reconfiguration of storage banks in a hybrid electrical energy storage system.
Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011
Proceedings of the Design, Automation and Test in Europe, 2011
Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification.
Proceedings of the 48th Design Automation Conference, 2011
Synchronization of the Fractional Order Finance Systems with Activation Feedback Control.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011
2010
Pattern Recognit. Lett., 2010
Proceedings of the 2010 International Symposium on Low Power Electronics and Design, 2010
Proceedings of the 2010 International Symposium on Low Power Electronics and Design, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010