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08/26/2023
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models
Model fairness (a.k.a., bias) has become one of the most critical proble...
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07/19/2023
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Quantum computing presents a promising approach for machine learning wit...
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04/23/2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
Security has always been a critical issue in machine learning (ML) appli...
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03/15/2023
VENUS: A Geometrical Representation for Quantum State Visualization
Visualizations have played a crucial role in helping quantum computing u...
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12/09/2022
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management
During the deployment of deep neural networks (DNNs) on edge devices, ma...
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10/30/2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
Among different quantum algorithms, PQC for QML show promises on near-te...
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10/08/2022
Towards Real-Time Temporal Graph Learning
In recent years, graph representation learning has gained significant po...
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09/22/2022
Iterative Qubits Management for Quantum Index Searching in a Hybrid System
Recent advances in quantum computing systems attract tremendous attentio...
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09/11/2022
Towards Sparsification of Graph Neural Networks
As real-world graphs expand in size, larger GNN models with billions of ...
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08/07/2022
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
Transformers are considered one of the most important deep learning mode...
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07/28/2022
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing
Quantum computing has attracted considerable public attention due to its...
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07/04/2022
Quantum Neural Network Compression
Model compression, such as pruning and quantization, has been widely app...
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02/23/2022
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
Along with the progress of AI democratization, neural networks are being...
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02/11/2022
Automated Architecture Search for Brain-inspired Hyperdimensional Computing
This paper represents the first effort to explore an automated architect...
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11/01/2021
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Convolutional neural networks (CNNs) are used in numerous real-world app...
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10/30/2021
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
This work proposes a novel Deep Neural Network (DNN) quantization framew...
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10/15/2021
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT
In this paper, we propose a novel gender bias detection method by utiliz...
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09/13/2021
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
Molecular similarity search has been widely used in drug discovery to id...
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09/13/2021
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
Differentiable neural architecture search (DNAS) is known for its capaci...
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09/08/2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
With the constant increase of the number of quantum bits (qubits) in the...
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09/08/2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
In the noisy intermediate-scale quantum (NISQ) era, one of the key quest...
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02/12/2021
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
A pruning-based AutoML framework for run-time reconfigurability, namely ...
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12/18/2020
When Machine Learning Meets Quantum Computers: A Case Study
Along with the development of AI democratization, the machine learning a...
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10/28/2020
DNA: Differentiable Network-Accelerator Co-Search
Powerful yet complex deep neural networks (DNNs) have fueled a booming d...
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09/16/2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
With the tremendous success of deep learning, there exists imminent need...
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08/17/2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation
Real-time cardiac magnetic resonance imaging (MRI) plays an increasingly...
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07/17/2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Hardware and neural architecture co-search that automatically generates ...
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07/14/2020
BUNET: Blind Medical Image Segmentation Based on Secure UNET
The strict security requirements placed on medical records by various pr...
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07/13/2020
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation
The recent breakthroughs of Neural Architecture Search (NAS) have motiva...
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06/26/2020
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits
Despite the pursuit of quantum supremacy in various applications, the po...
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02/10/2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Neural Architecture Search (NAS) has demonstrated its power on various A...
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01/30/2020
NASS: Optimizing Secure Inference via Neural Architecture Search
Due to increasing privacy concerns, neural network (NN) based secure inf...
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10/31/2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
Co-exploration of neural architectures and hardware design is promising ...
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10/31/2019
On Neural Architecture Search for Resource-Constrained Hardware Platforms
In the recent past, the success of Neural Architecture Search (NAS) has ...
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07/21/2019
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference
Real-time Deep Neural Network (DNN) inference with low-latency requireme...
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07/06/2019
Hardware/Software Co-Exploration of Neural Architectures
We propose a novel hardware and software co-exploration framework for ef...
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01/31/2019
