Yuxuan Du

Orcid: 0000-0002-0568-3838

According to our database1, Yuxuan Du authored at least 70 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A container optimal matching deployment algorithm based on CN-Graph for mobile edge computing.
J. Supercomput., December, 2024

DSC-TRCP: Dynamically Self-Calibrating Tunable Replica Critical Paths Based Timing Monitoring for Variation Resilient Circuits.
IEEE J. Solid State Circuits, July, 2024

Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction.
Quantum Mach. Intell., June, 2024

The Dilemma of Quantum Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

DeepDecon accurately estimates cancer cell fractions in bulk RNA-seq data.
Patterns, 2024

A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

Imputing Metagenomic Hi-C Contacts Facilitates the Integrative Contig Binning Through Constrained Random Walk with Restart.
J. Comput. Biol., 2024

CPPA-RORS: A conditional privacy-preserving authentication scheme based on revocable one-time ring signature for VANETs.
Internet Things, 2024

MG-Net: Learn to Customize QAOA with Circuit Depth Awareness.
CoRR, 2024

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits.
CoRR, 2024

Quantum Compiling with Reinforcement Learning on a Superconducting Processor.
CoRR, 2024

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem.
CoRR, 2024

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM.
CoRR, 2024

ImputeCC Enhances Integrative Hi-C-Based Metagenomic Binning Through Constrained Random-Walk-Based Imputation.
Proceedings of the Research in Computational Molecular Biology, 2024

14.2 Proactive Voltage Droop Mitigation Using Dual-Proportional-Derivative Control Based on Current and Voltage Prediction Applied to a Multicore Processor in 28nm CMOS.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Host-driven In-Network Aggregation on RDMA.
Proceedings of the IEEE INFOCOM 2024, 2024

CaM: Cache Merging for Memory-efficient LLMs Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neural Auto-designer for Enhanced Quantum Kernels.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Fosafer System for The ICASSP2024 In-Car Multi-Channel Automatic Speech Recognition Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2024

An Adaptive Wide-Voltage-Range Droop Detection and Protection System Assisted with Timing Error Detection in 28nm CMOS.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023
An All-Digital, 1.92-7.32 mV/LSB, 0.5-2 GS/s Sample Rate, and 0-Latency Prediction Voltage Sensor With Dynamic PVT Calibration for Droop Detection and AVS System.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

Recent Advances for Quantum Neural Networks in Generative Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Beyond Eliminating Timing Margin: An Efficient and Reliable Negative Margin Timing Error Detection for Neural Network Accelerator Without Accuracy Loss.
IEEE J. Solid State Circuits, May, 2023

Design of high-efficiency complex multiplier for fault-tolerant computation.
Integr., May, 2023

Design and analysis of leading one/zero detector based approximate multipliers.
Microelectron. J., 2023

Optical Quantum Sensing for Agnostic Environments via Deep Learning.
CoRR, 2023

Multimodal deep representation learning for quantum cross-platform verification.
CoRR, 2023

Coreset selection can accelerate quantum machine learning models with provable generalization.
CoRR, 2023

ShadowNet for Data-Centric Quantum System Learning.
CoRR, 2023

Transition role of entangled data in quantum machine learning.
CoRR, 2023

Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification.
CoRR, 2023

An Improved Current Prediction Model for PMSM Drives Under Single Open-Phase Fault Considering Floating Motor Neutral.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
Proceedings of the International Conference on Machine Learning, 2023

Symmetric Pruning in Quantum Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Holistic Label Correction for Noisy Multi-Label Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A 28nm All-Digital, 1.92-7.32mV/LSB, 0.5-2GS/s sample rate, 0-latency Voltage Sensor with Dynamic PVT Calibration for Wide-range Adaptive Voltage Scaling.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022
Quantum Differentially Private Sparse Regression Learning.
IEEE Trans. Inf. Theory, 2022

An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism.
Soc. Netw. Anal. Min., 2022

(2+1)D-SLR: an efficient network for video sign language recognition.
Neural Comput. Appl., 2022

Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression.
J. Comput. Biol., 2022

Speaker Diarization Based on Multi-channel Microphone Array in Small-scale Meeting.
CoRR, 2022

The BUCEA Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2022.
CoRR, 2022

MSR: Making Self-supervised learning Robust to Aggressive Augmentations.
CoRR, 2022

Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy.
CoRR, 2022

Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning.
CoRR, 2022

Do We Need to Penalize Variance of Losses for Learning with Label Noise?
CoRR, 2022

HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs.
Bioinform., 2022

Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Voltage Error Quantizer For Digital Low Dropout Regulators With Fast Transient Response and Low Steady-State Error.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2021
A Time-Domain Binary CNN Engine With Error-Detection-Based Resilience in 28nm CMOS.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Towards understanding the power of quantum kernels in the NISQ era.
Quantum, 2021

A two-stage temporal proposal network for precise action localization in untrimmed video.
Int. J. Mach. Learn. Cybern., 2021

On exploring practical potentials of quantum auto-encoder with advantages.
CoRR, 2021

Accelerating variational quantum algorithms with multiple quantum processors.
CoRR, 2021

Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior.
Proceedings of the 7th International Conference on Systems and Informatics, 2021

2020
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers.
CoRR, 2020

Experimental Quantum Generative Adversarial Networks for Image Generation.
CoRR, 2020

Quantum noise protects quantum classifiers against adversaries.
CoRR, 2020

An Energy-Efficient Time-Domain Binary Neural Network Accelerator with Error-Detection in 28nm CMOS.
Proceedings of the 2020 IEEE Asia Pacific Conference on Circuits and Systems, 2020

2019
BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks.
Entropy, 2019

A Quantum-inspired Algorithm for General Minimum Conical Hull Problems.
CoRR, 2019

Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications.
CoRR, 2019

Real-time Human Corneal Images Processing Analysis of Placido Disk Corneal Topography Using Extenics.
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018
基于线性规划的传感器节点布局模型 (Sensor Node Deployment Model Based on Linear Programming).
计算机科学, 2018

The Expressive Power of Parameterized Quantum Circuits.
CoRR, 2018

Implementable Quantum Classifier for Nonlinear Data.
CoRR, 2018

Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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