Yuxuan Du

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 72

Top Topics

Speaker Diarization

Differentially Private

Top Venues

IEEE J. Solid State Circuits

Publications

Yulong Li, Wenxin Li, Yinan Yao, Yuxuan Du, Keqiu Li
Host-driven In-Network Aggregation on RDMA. INFOCOM (2024)
Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu
Neural Auto-designer for Enhanced Quantum Kernels. ICLR (2024)
Yang Qian, Yuxuan Du, Dacheng Tao
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell. 6 (1) (2024)
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao
The Dilemma of Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Wenxuan Zuo, Zifan Zhu, Yuxuan Du, Yi-Chun Yeh, Jed A. Fuhrman, Jinchi Lv, Yingying Fan, Fengzhu Sun
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM. CoRR (2024)
Z. T. Wang, Qiuhao Chen, Yuxuan Du, Z. H. Yang, Xiaoxia Cai, Kaixuan Huang, Jingning Zhang, Kai Xu, Jun Du, Yinan Li, Yuling Jiao, Xingyao Wu, Wu Liu, Xiliang Lu, Huikai Xu, Yirong Jin, Ruixia Wang, Haifeng Yu, S. P. Zhao
Quantum Compiling with Reinforcement Learning on a Superconducting Processor. CoRR (2024)
Jiawei Huang, Yuxuan Du, Andres Stucky, Kevin R. Kelly, Jiang F. Zhong, Fengzhu Sun
DeepDecon accurately estimates cancer cell fractions in bulk RNA-seq data. Patterns 5 (6) (2024)
Xinbiao Wang, Yuxuan Du, Kecheng Liu, Yong Luo, Bo Du, Dacheng Tao
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem. CoRR (2024)
Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu
Neural auto-designer for enhanced quantum kernels. CoRR (2024)
Yuxuan Du, Wenxuan Zuo, Fengzhu Sun
ImputeCC Enhances Integrative Hi-C-Based Metagenomic Binning Through Constrained Random-Walk-Based Imputation. RECOMB (2024)
Lishuo Deng, Zhengguo Shen, Zhuo Chen, Cai Li, Junyi Qian, Yuxuan Du, Kaize Zhou, Keran Li, Ruidong Li, Tuo Li, Xiaofeng Zou, Weiwei Shan
An Adaptive Wide-Voltage-Range Droop Detection and Protection System Assisted with Timing Error Detection in 28nm CMOS. CICC (2024)
Weiwei Shan, Kaize Zhou, Keran Li, Yuxuan Du, Zhuo Chen, Junyi Qian, Haitao Ge, Jun Yang, Xin Si
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. ISSCC (2024)
Yuxuan Du, Junyi Qian, Zhengguo Shen, Chengjun Wu, Weiwei Shan, Wang Xi
DSC-TRCP: Dynamically Self-Calibrating Tunable Replica Critical Paths Based Timing Monitoring for Variation Resilient Circuits. IEEE J. Solid State Circuits 59 (7) (2024)
Songhua Wu, Tianyi Zhou, Yuxuan Du, Jun Yu, Bo Han, Tongliang Liu
A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao
Recent Advances for Quantum Neural Networks in Generative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu
Holistic Label Correction for Noisy Multi-Label Classification. ICCV (2023)
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
Symmetric Pruning in Quantum Neural Networks. ICLR (2023)
Yuxuan Du, Zhuo Chen, Boyang Cheng, Weiwei Shan
Design and analysis of leading one/zero detector based approximate multipliers. Microelectron. J. 136 (2023)
Zhuo Chen, Yuxuan Du, Boyang Cheng, Weiwei Shan
Design of high-efficiency complex multiplier for fault-tolerant computation. Integr. 90 (2023)
Yiming Huang, Huiyuan Wang, Yuxuan Du, Xiao Yuan
Coreset selection can accelerate quantum machine learning models with provable generalization. CoRR (2023)
Yuxuan Du, Junyi Qian, Zhuo Chen, Weiwei Shan
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. 70 (12) (2023)
Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao
ShadowNet for Data-Centric Quantum System Learning. CoRR (2023)
Yuxuan Du, Haitao Ge, Zhuo Chen, Kaize Zhou, Zhengguo Shen, Weiwei Shan
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. CICC (2023)
Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao
Optical Quantum Sensing for Agnostic Environments via Deep Learning. CoRR (2023)
Zeliang Zhang, Mohammed Alkahtani, Yihua Hu, Chao Gong, Yuxuan Du, Guangzhao Luo
An Improved Current Prediction Model for PMSM Drives Under Single Open-Phase Fault Considering Floating Motor Neutral. IECON (2023)
Zhengguo Shen, Weiwei Shan, Yuxuan Du, Ziyu Li, Jun Yang
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 58 (5) (2023)
Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao
Multimodal deep representation learning for quantum cross-platform verification. CoRR (2023)
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao
Transition role of entangled data in quantum machine learning. CoRR (2023)
Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? ICML (2023)
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. CoRR (2023)
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
MSR: Making Self-supervised learning Robust to Aggressive Augmentations. CoRR (2022)
Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu
Do We Need to Penalize Variance of Losses for Learning with Label Noise? CoRR (2022)
Yuxuan Du, Sarah M. Laperriere, Jed A. Fuhrman, Fengzhu Sun
Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression. J. Comput. Biol. 29 (2) (2022)
Fei Wang, Yuxuan Du, Guorui Wang, Zhen Zeng, Lihong Zhao
(2+1)D-SLR: an efficient network for video sign language recognition. Neural Comput. Appl. 34 (3) (2022)
Yuxuan Du, Ruohua Zhou
Speaker Diarization Based on Multi-channel Microphone Array in Small-scale Meeting. CoRR (2022)
Weian Du, Runxin Wu, Haiyu Zhang, Chengyang Liu, Yuxuan Du
Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures. BIC-TA (2022)
Kaize Zhou, Dejian Li, Chongfei Shen, Yuxuan Du, Zhuo Chen, Weiwei Shan
A Voltage Error Quantizer For Digital Low Dropout Regulators With Fast Transient Response and Low Steady-State Error. ICTA (2022)
Chien-Chih Chen, Yuxuan Du, Richards Peter, Wojciech M. Golab
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism. Soc. Netw. Anal. Min. 12 (1) (2022)
Ruohua Zhou, Yuxuan Du, Chenlei Hu
The BUCEA Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2022. CoRR (2022)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
Quantum Differentially Private Sparse Regression Learning. IEEE Trans. Inf. Theory 68 (8) (2022)
Yuxuan Du, Fengzhu Sun
HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs. Bioinform. 38 (11) (2022)
Yang Qian, Yuxuan Du, Dacheng Tao
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. CoRR (2022)
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CoRR (2022)
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao
Recent Advances for Quantum Neural Networks in Generative Learning. CoRR (2022)
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
Symmetric Pruning in Quantum Neural Networks. CoRR (2022)
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CVPR (2022)
Yuxuan Du, Zhuozhuo Tu, Bujiao Wu, Xiao Yuan, Dacheng Tao
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy. CoRR (2022)
Qiuhao Chen, Yuxuan Du, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning. CoRR (2022)
De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization. NeurIPS (2022)
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning. NeurIPS (2022)
Zhikuang Cai, Boyang Cheng, Yuxuan Du, Xinchao Shang, Weiwei Shan
A Time-Domain Binary CNN Engine With Error-Detection-Based Resilience in 28nm CMOS. IEEE Trans. Circuits Syst. II Express Briefs 68 (9) (2021)
Yuxuan Du, Dacheng Tao
On exploring practical potentials of quantum auto-encoder with advantages. CoRR (2021)
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
Towards understanding the power of quantum kernels in the NISQ era. CoRR (2021)
Fei Wang, Guorui Wang, Yuxuan Du, Zhenquan He, Yong Jiang
A two-stage temporal proposal network for precise action localization in untrimmed video. Int. J. Mach. Learn. Cybern. 12 (8) (2021)
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
Towards understanding the power of quantum kernels in the NISQ era. Quantum 5 (2021)
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao
The dilemma of quantum neural networks. CoRR (2021)
Wei Wang, Yuxuan Du, Chuang Zhang, Xiaoli Zheng
Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior. ICSAI (2021)
Chien-Chih Chen, Yuxuan Du, Richards Peter, Wojciech Golab
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism. IEEE BigData (2021)
Yuxuan Du, Yang Qian, Dacheng Tao
Accelerating variational quantum algorithms with multiple quantum processors. CoRR (2021)
Yuxuan Du, Xinchao Shang, Weiwei Shan
An Energy-Efficient Time-Domain Binary Neural Network Accelerator with Error-Detection in 28nm CMOS. APCCAS (2020)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu
Quantum noise protects quantum classifiers against adversaries. CoRR (2020)
Heliang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, Jian-Wei Pan
Experimental Quantum Generative Adversarial Networks for Image Generation. CoRR (2020)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
Quantum differentially private sparse regression learning. CoRR (2020)
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers. CoRR (2020)
Jindong Chen, Yuxuan Du, Linlin Liu, Pinyi Zhang, Wen Zhang
BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks. Entropy 21 (1) (2019)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems. CoRR (2019)
Nan Gao, Yuxuan Du, Yanwei Zhao
Real-time Human Corneal Images Processing Analysis of Placido Disk Corneal Topography Using Extenics. ITQM (2019)
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications. CoRR (2019)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
Implementable Quantum Classifier for Nonlinear Data. CoRR (2018)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
The Expressive Power of Parameterized Quantum Circuits. CoRR (2018)
Tao Xu, Yuxuan Du, Zonglei Lv
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 45 (7) (2018)
Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization. IJCAI (2018)