Hai Li

Orcid: 0000-0003-3228-6544

Affiliations:
  • Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
  • University of Pittsburgh, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
  • NYU Polytechnic Institute, Department of Electrical and Computer Engineering, New York, NY, USA
  • Seagate Technology LLC, Bloomington, MN, USA
  • Intel Corporation, Santa Clara, CA, USA
  • Qualcomm Inc., San Diego, CA, USA
  • Purdue University, Electrical and Computer Engineering, West Lafayette, IN, USA


According to our database1, Hai Li authored at least 440 papers between 2002 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2021, "For contributions to neuromorphic computing and deep-learning acceleration".

Timeline

Legend:

Book 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

Recap of the 61st ACM/IEEE Design Automation Conference (DAC61): The "Chips to Systems Conference".
IEEE Des. Test, December, 2024

NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models.
IEEE Trans. Computers, May, 2024

Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.
CoRR, 2024

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning.
CoRR, 2024

MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data.
CoRR, 2024

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.
CoRR, 2024

MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs.
CoRR, 2024

Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS.
CoRR, 2024

Do Counterfactual Examples Complicate Adversarial Training?
CoRR, 2024

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.
CoRR, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.
CoRR, 2024

Peeking Behind the Curtains of Residual Learning.
CoRR, 2024

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers.
CoRR, 2024

Athena - The NSF AI Institute for Edge Computing.
AI Mag., 2024

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Tunable Hybrid Proposal Networks for the Open World.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks.
Proceedings of the 33rd USENIX Security Symposium, 2024

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CSCO: Connectivity Search of Convolutional Operators.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Outgoing Editorial.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2023.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference.
ACM Trans. Embed. Comput. Syst., October, 2023

ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs.
IEEE Trans. Computers, March, 2023

ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19.
IEEE Des. Test, February, 2023

MWSCAS Guest Editorial Special Issue Based on the 64th International Midwest Symposium on Circuits and Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023

ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs.
IEEE Trans. Emerg. Top. Comput., 2023

Adversarial Estimation of Topological Dimension with Harmonic Score Maps.
CoRR, 2023

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search.
CoRR, 2023

DistDNAS: Search Efficient Feature Interactions within 2 Hours.
CoRR, 2023

Farthest Greedy Path Sampling for Two-shot Recommender Search.
CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.
CoRR, 2023

SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection.
CoRR, 2023

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI.
CoRR, 2023

HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble.
CoRR, 2023

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

: Joint Point Interaction-Dimension Search for 3D Point Cloud.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers.
Proceedings of the International Conference for High Performance Computing, 2023

Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

On a New Type of Neural Computation for Probabilistic Symbolic Reasoning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.
Proceedings of the International Conference on Machine Learning, 2023

Disentangling Learning Representations with Density Estimation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Multi-Agent Cooperative Games Using Belief Map Assisted Training.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Global Vision Transformer Pruning with Hessian-Aware Saliency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification.
Proceedings of the Conference on Lifelong Learning Agents, 2023

DefT: Boosting Scalability of Deformable Convolution Operations on GPUs.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2.
ACM Trans. Embed. Comput. Syst., November, 2022

Introduction to the Special Issue on Accelerating AI on the Edge - Part 1.
ACM Trans. Embed. Comput. Syst., September, 2022

Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks.
ACM Trans. Embed. Comput. Syst., 2022

Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Guest Editors' Introduction: Near-Memory and In-Memory Processing.
IEEE Des. Test, 2022

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud.
CoRR, 2022

More Generalized and Personalized Unsupervised Representation Learning In A Distributed System.
CoRR, 2022

Rethinking Normalization Methods in Federated Learning.
CoRR, 2022

FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices.
CoRR, 2022

Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming.
CoRR, 2022

Self-Trained Proposal Networks for the Open World.
CoRR, 2022

Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag., 2022

The Untapped Potential of Off-the-Shelf Convolutional Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

A 1.041-Mb/mm<sup>2</sup> 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Bionic Robust Memristor-Based Artificial Nociception System for Robotics.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Cascading structured pruning: enabling high data reuse for sparse DNN accelerators.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2022

Approximate Computing and the Efficient Machine Learning Expedition.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

NashAE: Disentangling Representations Through Adversarial Covariance Minimization.
Proceedings of the Computer Vision - ECCV 2022, 2022

RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

Privacy Leakage of Adversarial Training Models in Federated Learning Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Next Generation Federated Learning for Edge Devices: An Overview.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.
Proceedings of the International Conference on Automated Machine Learning, 2022

CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

On Building Efficient and Robust Neural Network Designs.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators.
ACM Trans. Embed. Comput. Syst., 2021

TPrune: Efficient Transformer Pruning for Mobile Devices.
ACM Trans. Cyber Phys. Syst., 2021

An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

BitSystolic: A 26.7 TOPS/W 2b~8b NPU With Configurable Data Flows for Edge Devices.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Exploring Applications of STT-RAM in GPU Architectures.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

An Overview of Hardware Security and Trust: Threats, Countermeasures, and Design Tools.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.
ACM J. Emerg. Technol. Comput. Syst., 2021

Efficient neural network using pointwise convolution kernels with linear phase constraint.
Neurocomputing, 2021

ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs.
CoRR, 2021

NViT: Vision Transformer Compression and Parameter Redistribution.
CoRR, 2021

Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure.
CoRR, 2021

A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications.
CoRR, 2021

On Provable Backdoor Defense in Collaborative Learning.
CoRR, 2021

FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hermes: an efficient federated learning framework for heterogeneous mobile clients.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

The Fifth International Workshop on Automation in Machine Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces.
Proceedings of the International Joint Conference on Neural Networks, 2021

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Improving Gradient Regularization using Complex-Valued Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Peripheral Circuitry Assisted Mapping Framework for Resistive Logic-In-Memory Computing.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

An Efficient Programming Framework for Memristor-based Neuromorphic Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Efficient AUTOSAR-Compliant CAN-FD Frame Packing with Observed Optimality.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AI-Powered IoT System at the Edge.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Thwarting Replication Attack Against Memristor-Based Neuromorphic Computing System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Guest Editorial: ACM JETC Special Issue on New Trends in Nanolectronic Device, Circuit, and Architecture Design: Part 2.
ACM J. Emerg. Technol. Comput. Syst., 2020

Introduction to the Special Issue on New Trends in Nanoelectronic Device, Circuit, and Architecture Design, Part 1.
ACM J. Emerg. Technol. Comput. Syst., 2020

3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks.
ACM J. Emerg. Technol. Comput. Syst., 2020

A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications.
Int. J. Semantic Comput., 2020

A low-cost and high-speed hardware implementation of spiking neural network.
Neurocomputing, 2020

Introduction to the Special Issue on the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020).
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Improving Adversarial Robustness in Weight-quantized Neural Networks.
CoRR, 2020

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.
CoRR, 2020

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.
CoRR, 2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition.
CoRR, 2020

Fast IR Drop Estimation with Machine Learning.
CoRR, 2020

Low-Cost Floating-Point Processing in ReRAM for Scientific Computing.
CoRR, 2020

Evasion Attacks to Graph Neural Networks via Influence Function.
CoRR, 2020

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
CoRR, 2020

LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets.
CoRR, 2020

NASGEM: Neural Architecture Search via Graph Embedding Method.
CoRR, 2020

Adversarial Attack: A New Threat to Smart Devices and How to Defend It.
IEEE Consumer Electron. Mag., 2020

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Leveraging 3D Vertical RRAM to Developing Neuromorphic Architecture for Pattern Classification.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

PENNI: Pruned Kernel Sharing for Efficient CNN Inference.
Proceedings of the 37th International Conference on Machine Learning, 2020

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures.
Proceedings of the 8th International Conference on Learning Representations, 2020

MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Fast IR Drop Estimation with Machine Learning : Invited Paper.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Reliable and Robust RRAM-based Neuromorphic Computing.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Neural Predictor for Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

ReSiPE: ReRAM-based Single-Spiking Processing-In-Memory Engine.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Snooping Attacks on Deep Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Parallelism in Deep Learning Accelerators.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal Effects.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Editorial TVLSI Positioning - Continuing and Accelerating an Upward Trajectory.
IEEE Trans. Very Large Scale Integr. Syst., 2019

Exploiting Spin-Orbit Torque Devices As Reconfigurable Logic for Circuit Obfuscation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses.
IEEE Trans. Computers, 2019

Thread Batching for High-performance Energy-efficient GPU Memory Design.
ACM J. Emerg. Technol. Comput. Syst., 2019

Emerging Hardware Techniques and EDA Methodologies for Neuromorphic Computing (Dagstuhl Seminar 19152).
Dagstuhl Reports, 2019

Structural sparsification for Far-field Speaker Recognition with GNA.
CoRR, 2019

Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training.
CoRR, 2019

Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving.
CoRR, 2019

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.
CoRR, 2019

Joint Pruning on Activations and Weights for Efficient Neural Networks.
CoRR, 2019

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks.
CoRR, 2019

ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell.
CCF Trans. High Perform. Comput., 2019

Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives.
Adv. Intell. Syst., 2019

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Defending Neural Backdoors via Generative Distribution Modeling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Joint Regularization on Activations and Weights for Efficient Neural Network Pruning.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Feedback Learning for Improving the Robustness of Neural Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

MSNet: Structural Wired Neural Architecture Search for Internet of Things.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

How to Obtain and Run Light and Efficient Deep Learning Networks.
Proceedings of the International Conference on Computer-Aided Design, 2019

Learning Efficient Sparse Structures in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

RED: A ReRAM-based Deconvolution Accelerator.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Feature Space Perturbations Yield More Transferable Adversarial Examples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

Towards Decentralized Deep Learning with Differential Privacy.
Proceedings of the Cloud Computing - CLOUD 2019, 2019

NeuralHMC: an efficient HMC-based accelerator for deep neural networks.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Build reliable and efficient neuromorphic design with memristor technology.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Exploration of Automatic Mixed-Precision Search for Deep Neural Networks.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

DPATCH: An Adversarial Patch Attack on Object Detectors.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

Designing Neuromorphic Computing Systems with Memristor Devices.
Proceedings of the Handbook of Memristor Networks., 2019

2018
Guest Editorial: Special Issue on Large-Scale Memristive Systems and Neurochips for Computational Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Guest Editorial Circuit and System Design Automation for Internet of Things.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Shift-Optimized Energy-Efficient Racetrack-Based Main Memory.
J. Circuits Syst. Comput., 2018

Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view.
Integr., 2018

Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack.
CoRR, 2018

Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers.
CoRR, 2018

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning.
CoRR, 2018

Differentiable Fine-grained Quantization for Deep Neural Network Compression.
CoRR, 2018

DPatch: Attacking Object Detectors with Adversarial Patches.
CoRR, 2018

SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning.
CoRR, 2018

Challenges of memristor based neuromorphic computing system.
Sci. China Inf. Sci., 2018

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

A Quantized Training Method to Enhance Accuracy of ReRAM-based Neuromorphic Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Design and Data Management for Magnetic Racetrack Memory.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Learning Intrinsic Sparse Structures within Long Short-Term Memory.
Proceedings of the 6th International Conference on Learning Representations, 2018

SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting.
Proceedings of the International Conference on Computer-Aided Design, 2018

EMAT: an efficient multi-task architecture for transfer learning using ReRAM.
Proceedings of the International Conference on Computer-Aided Design, 2018

RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-memory Databases.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

GraphR: Accelerating Graph Processing Using ReRAM.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

ReRAM-based accelerator for deep learning.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

ReCom: An efficient resistive accelerator for compressed deep neural networks.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

A neuromorphic design using chaotic mott memristor with relaxation oscillation.
Proceedings of the 55th Annual Design Automation Conference, 2018

Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation.
Proceedings of the 55th Annual Design Automation Conference, 2018

Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Running sparse and low-precision neural network: When algorithm meets hardware.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Spintronics based stochastic computing for efficient Bayesian inference system.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Modeling of biaxial magnetic tunneling junction for multi-level cell STT-RAM realization.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Process variation aware data management for magnetic skyrmions racetrack memory.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017
Editorial.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Cross-Layer Optimization for Multilevel Cell STT-RAM Caches.
IEEE Trans. Very Large Scale Integr. Syst., 2017

A Compact Memristor-Based Dynamic Synapse for Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

FlexLevel NAND Flash Storage System Design to Reduce LDPC Latency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

An Energy-Efficient GPGPU Register File Architecture Using Racetrack Memory.
IEEE Trans. Computers, 2017

Giant Spin-Hall assisted STT-RAM and logic design.
Integr., 2017

Recent Technology Advances of Emerging Memories.
IEEE Des. Test, 2017

Learning Intrinsic Sparse Structures within Long Short-term Memory.
CoRR, 2017

Generative Poisoning Attack Method Against Neural Networks.
CoRR, 2017

Group Scissor: Scaling Neuromorphic Computing Design to Big Neural Networks.
CoRR, 2017

A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks.
CoRR, 2017

Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing.
IEEE Consumer Electron. Mag., 2017

Power Allocation for Cache-Aided Small-Cell Networks With Limited Backhaul.
IEEE Access, 2017

W1A: Memories.
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017

MobiCore: An adaptive hybrid approach for power-efficient CPU management on Android devices.
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017

A quantization-aware regularized learning method in multilevel memristor-based neuromorphic computing system.
Proceedings of the IEEE 6th Non-Volatile Memory Systems and Applications Symposium, 2017

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Brain-inspired computing accelerated by memristor technology.
Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

The New Large-Scale RNNLM System Based on Distributed Neuron.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Hardware implementation of echo state networks using memristor double crossbar arrays.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Faster CNNs with Direct Sparse Convolutions and Guided Pruning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Coordinating Filters for Faster Deep Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A closed-loop design to enhance weight stability of memristor based neural network chips.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

AdaLearner: An adaptive distributed mobile learning system for neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

An FPGA Design Framework for CNN Sparsification and Acceleration.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks.
Proceedings of the 54th Annual Design Automation Conference, 2017

Rescuing Memristor-based Neuromorphic Design with High Defects.
Proceedings of the 54th Annual Design Automation Conference, 2017

A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

Extending the lifetime of object-based NAND flash device with STT-RAM/DRAM hybrid buffer.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

A memristor-based neuromorphic engine with a current sensing scheme for artificial neural network applications.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016
A Neuromorphic Architecture for Context Aware Text Image Recognition.
J. Signal Process. Syst., 2016

Library-Based Placement and Routing in FPGAs with Support of Partial Reconfiguration.
ACM Trans. Design Autom. Electr. Syst., 2016

Guest Editorial: Design and Applications of Neuromorphic Computing System.
IEEE Trans. Multi Scale Comput. Syst., 2016

Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Radiation-Induced Soft Error Analysis of STT-MRAM: A Device to Circuit Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

Array Organization and Data Management Exploration in Racetrack Memory.
IEEE Trans. Computers, 2016

Small-world Hopfield neural networks with weight salience priority and memristor synapses for digit recognition.
Neural Comput. Appl., 2016

ApesNet: a pixel-wise efficient segmentation network for embedded devices.
IET Cyper-Phys. Syst.: Theory & Appl., 2016

Spintronic Memristor as Interface Between DNA and Solid State Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

Leveraging Stochastic Memristor Devices in Neuromorphic Hardware Systems.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size.
CoRR, 2016

Spin-Hall Assisted STT-RAM Design and Discussion.
Proceedings of the 18th System Level Interconnect Prediction Workshop, 2016

Objnandsim: object-based NAND flash device simulator.
Proceedings of the 5th Non-Volatile Memory Systems and Applications Symposium, 2016

Learning Structured Sparsity in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2016

A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

Design and Implementation of a 4Kb STT-MRAM with Innovative 200nm Nano-ring Shaped MTJ.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

A neuromorphic ASIC design using one-selector-one-memristor crossbar.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Security of neuromorphic systems: Challenges and solutions.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Heterogeneous systems with reconfigurable neuromorphic computing accelerators.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Built-in selectors self-assembled into memristors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Neural processor design enabled by memristor technology.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Design techniques of eNVM-enabled neuromorphic computing systems.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Security challenges in smart surveillance systems and the solutions based on emerging nano-devices.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Security of neuromorphic computing: thwarting learning attacks using memristor's obsolescence effect.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

The Applications of NVM Technology in Hardware Security.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

ApesNet: A Pixel-wise Efficient Segmentation Network.
Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, 2016

A holistic tri-region MLC STT-RAM design with combined performance, energy, and reliability optimizations.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Sliding Basket: An adaptive ECC scheme for runtime write failure suppression of STT-RAM cache.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip.
Proceedings of the 53rd Annual Design Automation Conference, 2016

TEMP: thread batch enabled memory partitioning for GPU.
Proceedings of the 53rd Annual Design Automation Conference, 2016

A novel PUF based on cell error rate distribution of STT-RAM.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015
Read Performance: The Newest Barrier in Scaled STT-RAM.
IEEE Trans. Very Large Scale Integr. Syst., 2015

An overview on memristor crossabr based neuromorphic circuit and architecture.
Proceedings of the 2015 IFIP/IEEE International Conference on Very Large Scale Integration, 2015

The evolutionary spintronic technologies and their usage in high performance computing.
Proceedings of the 28th IEEE International System-on-Chip Conference, 2015

Hardware acceleration for neuromorphic computing: An evolving view.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

Hierarchical Library Based Power Estimator for Versatile FPGAs.
Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015

A new self-reference sensing scheme for TLC MRAM.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

The applications of memristor devices in next-generation cortical processor designs.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

A High-Speed Robust NVM-TCAM Design Using Body Bias Feedback.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

A Novel True Random Number Generator Design Leveraging Emerging Memristor Technology.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

Energy Efficient RRAM Spiking Neural Network for Real Time Classification.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

Hierarchical library based power estimator for versatile FPGAs.
Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

FPGA Acceleration of Recurrent Neural Network Based Language Model.
Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

Giant spin hall effect (GSHE) logic design for low power application.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

VWS: a versatile warp scheduler for exploring diverse cache localities of GPGPU applications.
Proceedings of the 52nd Annual Design Automation Conference, 2015

A spiking neuromorphic design with resistive crossbar.
Proceedings of the 52nd Annual Design Automation Conference, 2015

Cloning your mind: security challenges in cognitive system designs and their solutions.
Proceedings of the 52nd Annual Design Automation Conference, 2015

RENO: a high-efficient reconfigurable neuromorphic computing accelerator design.
Proceedings of the 52nd Annual Design Automation Conference, 2015

Vortex: variation-aware training for memristor X-bar.
Proceedings of the 52nd Annual Design Automation Conference, 2015

FlexLevel: a novel NAND flash storage system design for LDPC latency reduction.
Proceedings of the 52nd Annual Design Automation Conference, 2015

Spiking-based matrix computation by leveraging memristor crossbar array.
Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

Quantitative modeling of racetrack memory, a tradeoff among area, performance, and power.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

An efficient STT-RAM-based register file in GPU architectures.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

2014
STT-RAM Cache Hierarchy With Multiretention MTJ Designs.
IEEE Trans. Very Large Scale Integr. Syst., 2014

Memristor Crossbar-Based Neuromorphic Computing System: A Case Study.
IEEE Trans. Neural Networks Learn. Syst., 2014

Emerging memristor technology enabled next generation cortical processor.
Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

Neuromorphic acceleration for context aware text image recognition.
Proceedings of the 2014 IEEE Workshop on Signal Processing Systems, 2014

A Weighted Sensing Scheme for ReRAM-Based Cross-Point Memory Array.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

Memristor Modeling - Static, Statistical, and Stochastic Methodologies.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

Design exploration of racetrack lower-level caches.
Proceedings of the International Symposium on Low Power Electronics and Design, 2014

Energy efficient spiking neural network design with RRAM devices.
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Neuromorphic hardware acceleration enabled by emerging technologies (Invited paper).
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Bio-inspired computing with resistive memories - models, architectures and applications.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

An adjustable memristor model and its application in small-world neural networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

STDP learning rule based on memristor with STDP property.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Optimizing MLC-based STT-RAM caches by dynamic block size reconfiguration.
Proceedings of the 32nd IEEE International Conference on Computer Design, 2014

Reduction and IR-drop compensations techniques for reliable neuromorphic computing systems.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

A heterogeneous computing system with memristor-based neuromorphic accelerators.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

BMP: a fast B*-tree based modular placer for FPGAs (abstract only).
Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Hierarchical library-based power estimator for versatile FPGAs (abstract only).
Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Accelerating graph computation with racetrack memory and pointer-assisted graph representation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

ICE: Inline calibration for memristor crossbar-based computing engine.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

Exploration of GPGPU Register File Architecture Using Domain-wall-shift-write based Racetrack Memory.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014

A New Field-assisted Access Scheme of STT-RAM with Self-reference Capability.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014

A coherent hybrid SRAM and STT-RAM L1 cache architecture for shared memory multicores.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013
Common-source-line array: An area efficient memory architecture for bipolar nonvolatile devices.
ACM Trans. Design Autom. Electr. Syst., 2013

C1C: A configurable, compiler-guided STT-RAM L1 cache.
ACM Trans. Archit. Code Optim., 2013

On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations.
ACM J. Emerg. Technol. Comput. Syst., 2013

A pseudo-weighted sensing scheme for memristor based cross-point memory.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

A practical low-power memristor-based analog neural branch predictor.
Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013

Memristor-based synapse design and a case study in reconfigurable systems.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

ADAMS: asymmetric differential STT-RAM cell structure for reliable and high-performance applications.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

A neuromorphic architecture for anomaly detection in autonomous large-area traffic monitoring.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

Unleashing the potential of MLC STT-RAM caches.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

Coordinating prefetching and STT-RAM based last-level cache management for multicore systems.
Proceedings of the Great Lakes Symposium on VLSI 2013 (part of ECRC), 2013

A hardware security scheme for RRAM-based FPGA.
Proceedings of the 23rd International Conference on Field programmable Logic and Applications, 2013

DA-RAID-5: a disturb aware data protection technique for NAND flash storage systems.
Proceedings of the Design, Automation and Test in Europe, 2013

STT-RAM designs supporting dual-port accesses.
Proceedings of the Design, Automation and Test in Europe, 2013

Cross-layer racetrack memory design for ultra high density and low power consumption.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

Bio-inspired ultra lower-power neuromorphic computing engine for embedded systems.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013

BSB training scheme implementation on memristor-based circuit.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2013

2012
Low-Power Design of Emerging Memory Technologies.
Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

Voltage Driven Nondestructive Self-Reference Sensing Scheme of Spin-Transfer Torque Memory.
IEEE Trans. Very Large Scale Integr. Syst., 2012

A 130 nm 1.2 V/3.3 V 16 Kb Spin-Transfer Torque Random Access Memory With Nondestructive Self-Reference Sensing Scheme.
IEEE J. Solid State Circuits, 2012

Nonvolatile Memories as the Data Storage System for Implantable ECG Recorder.
ACM J. Emerg. Technol. Comput. Syst., 2012

Memristor in neuromorphic computing.
Proceedings of the IEEE 25th International SOC Conference, 2012

Analysis and Optimization of Thermal Effect on STT-RAM Based 3-D Stacked Cache Design.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2012

A dual-mode architecture for fast-switching STT-RAM.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012

Process variation aware data management for STT-RAM cache design.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012

A novel peripheral circuit for RRAM-based LUT.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Memristor-based synapse design and training scheme for neuromorphic computing architecture.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Memristor crossbar based hardware realization of BSB recall function.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Probabilistic design methodology to improve run-time stability and performance of STT-RAM caches.
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

uBRAM-based run-time reconfigurable FPGA and corresponding reconfiguration methodology.
Proceedings of the 2012 International Conference on Field-Programmable Technology, 2012

Non-volatile 3D stacking RRAM-based FPGA.
Proceedings of the 22nd International Conference on Field Programmable Logic and Applications (FPL), 2012

Architecting a common-source-line array for bipolar non-volatile memory devices.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

Spintronic memristor based temperature sensor design with CMOS current reference.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

Statistical memristor modeling and case study in neuromorphic computing.
Proceedings of the 49th Annual Design Automation Conference 2012, 2012

Hardware realization of BSB recall function using memristor crossbar arrays.
Proceedings of the 49th Annual Design Automation Conference 2012, 2012

A Look Up Table design with 3D bipolar RRAMs.
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

Fine-grained dynamic voltage scaling on OLED display.
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

2011
Spintronic Memristor: Compact Model and Statistical Analysis.
J. Low Power Electron., 2011

Stacking magnetic random access memory atop microprocessors: an architecture-level evaluation.
IET Comput. Digit. Tech., 2011

3D-HIM: A 3D High-density Interleaved Memory for bipolar RRAM design.
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

Multi retention level STT-RAM cache designs with a dynamic refresh scheme.
Proceedings of the 44rd Annual IEEE/ACM International Symposium on Microarchitecture, 2011

Processor caches with multi-level spin-transfer torque ram cells.
Proceedings of the 2011 International Symposium on Low Power Electronics and Design, 2011

Universal statistical cure for predicting memory loss.
Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011

Fast statistical model of TiO2 thin-film memristor and design implication.
Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011

3D-ICML: A 3D bipolar ReRAM design with interleaved complementary memory layers.
Proceedings of the Design, Automation and Test in Europe, 2011

Emerging non-volatile memories: opportunities and challenges.
Proceedings of the 9th International Conference on Hardware/Software Codesign and System Synthesis, 2011

A 1.0V 45nm nonvolatile magnetic latch design and its robustness analysis.
Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011

Geometry variations analysis of TiO2 thin-film and spintronic memristors.
Proceedings of the 16th Asia South Pacific Design Automation Conference, 2011

Emerging sensing techniques for emerging memories.
Proceedings of the 16th Asia South Pacific Design Automation Conference, 2011

2010
Design Margin Exploration of Spin-Transfer Torque RAM (STT-RAM) in Scaled Technologies.
IEEE Trans. Very Large Scale Integr. Syst., 2010

Variable-Latency Adder (VL-Adder) Designs for Low Power and NBTI Tolerance.
IEEE Trans. Very Large Scale Integr. Syst., 2010

Scalability of PCMO-based resistive switch device in DSM technologies.
Proceedings of the 11th International Symposium on Quality of Electronic Design (ISQED 2010), 2010

Combined magnetic- and circuit-level enhancements for the nondestructive self-reference scheme of STT-RAM.
Proceedings of the 2010 International Symposium on Low Power Electronics and Design, 2010

Variation tolerant sensing scheme of Spin-Transfer Torque Memory for yield improvement.
Proceedings of the 2010 International Conference on Computer-Aided Design, 2010

A Hybrid solid-state storage architecture for the performance, energy consumption, and lifetime improvement.
Proceedings of the 16th International Conference on High-Performance Computer Architecture (HPCA-16 2010), 2010

Compact model of memristors and its application in computing systems.
Proceedings of the Design, Automation and Test in Europe, 2010

A nondestructive self-reference scheme for Spin-Transfer Torque Random Access Memory (STT-RAM).
Proceedings of the Design, Automation and Test in Europe, 2010

2009
Gated Decap: Gate Leakage Control of On-Chip Decoupling Capacitors in Scaled Technologies.
IEEE Trans. Very Large Scale Integr. Syst., 2009

Tolerating process variations in large, set-associative caches: The buddy cache.
ACM Trans. Archit. Code Optim., 2009

Thermal-Assisted Spin Transfer Torque Memory (STT-RAM) Cell Design Exploration.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2009

The salvage cache: A fault-tolerant cache architecture for next-generation memory technologies.
Proceedings of the 27th International Conference on Computer Design, 2009

An overview of non-volatile memory technology and the implication for tools and architectures.
Proceedings of the Design, Automation and Test in Europe, 2009

2008
Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM).
Proceedings of the 9th International Symposium on Quality of Electronic Design (ISQED 2008), 2008

Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement.
Proceedings of the 45th Design Automation Conference, 2008

2007
Variable-latency adder (VL-adder): new arithmetic circuit design practice to overcome NBTI.
Proceedings of the 2007 International Symposium on Low Power Electronics and Design, 2007

VOSCH: Voltage scaled cache hierarchies.
Proceedings of the 25th International Conference on Computer Design, 2007

2006
SAVS: a self-adaptive variable supply-voltage technique for process- tolerant and power-efficient multi-issue superscalar processor design.
Proceedings of the 2006 Conference on Asia South Pacific Design Automation: ASP-DAC 2006, 2006

2005
Combined circuit and architectural level variable supply-voltage scaling for low power.
IEEE Trans. Very Large Scale Integr. Syst., 2005

Cascaded carry-select adder (C<sup>2</sup>SA): a new structure for low-power CSA design.
Proceedings of the 2005 International Symposium on Low Power Electronics and Design, 2005

2004
DCG: deterministic clock-gating for low-power microprocessor design.
IEEE Trans. Very Large Scale Integr. Syst., 2004

2003
A single-V<sub>t</sub> low-leakage gated-ground cache for deep submicron.
IEEE J. Solid State Circuits, 2003

VSV: L2-Miss-Driven Variable Supply-Voltage Scaling for Low Power.
Proceedings of the 36th Annual International Symposium on Microarchitecture, 2003

Deterministic Clock Gating for Microprocessor Power Reduction.
Proceedings of the Ninth International Symposium on High-Performance Computer Architecture (HPCA'03), 2003

2002
DRG-cache: a data retention gated-ground cache for low power.
Proceedings of the 39th Design Automation Conference, 2002

A High Performance IDDQ Testable Cache for Scaled CMOS Technologies.
Proceedings of the 11th Asian Test Symposium (ATS 2002), 18-20 November 2002, Guam, USA, 2002


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