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05/31/2023
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator
The wide adoption and significant computing resource consumption of atte...
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11/23/2022
Benchmarking variational quantum circuits with permutation symmetry
We propose SnCQA, a set of hardware-efficient variational circuits of eq...
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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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10/15/2022
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits
Variational Quantum Algorithms (VQA) are promising to demonstrate quantu...
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08/02/2022
PAN: Pulse Ansatz on NISQ Machines
Variational quantum algorithms (VQAs) have demonstrated great potentials...
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07/13/2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
Analog/mixed-signal circuit design is one of the most complex and time-c...
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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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02/26/2022
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Parameterized Quantum Circuits (PQC) are drawing increasing research int...
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01/11/2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
The majority of adversarial attack techniques perform well against deep ...
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10/21/2021
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks
Quantum Neural Network (QNN) is a promising application towards quantum ...
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10/14/2021
PointAcc: Efficient Point Cloud Accelerator
Deep learning on point clouds plays a vital role in a wide range of appl...
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07/22/2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (...
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12/17/2020
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
The attention mechanism is becoming increasingly popular in Natural Lang...
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07/31/2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Self-driving cars need to understand 3D scenes efficiently and accuratel...
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06/23/2020
Security analysis of cancellable biometrics using constrained-optimized similarity-based attack
Cancellable biometrics (CB) intentionally distorts biometric template fo...
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05/28/2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...
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05/16/2020
MicroNet for Efficient Language Modeling
It is important to design compact language models for efficient deployme...
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04/30/2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Automatic transistor sizing is a challenging problem in circuit design d...
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02/20/2020
SpArch: Efficient Architecture for Sparse Matrix Multiplication
Generalized Sparse Matrix-Matrix Multiplication (SpGEMM) is a ubiquitous...
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12/05/2018