Yuxuan Du

108 papers A* 13A 2B 1C 2Journal 76Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Endowing Molecular Language with Geometry Perception via Modality Compensation for High-Throughput Quantum Hamiltonian Prediction.
CoRR
Zhenzhong Wang, Yongjie Hou, Chenggong Huang, Yuxuan Du, Dacheng Tao, Min Jiang
2025 A conf
AlloyStack: A Library Operating System for Serverless Workflow Applications.
EuroSys
Jianing You, Kang Chen, Laiping Zhao, Yiming Li, Yichi Chen, Yuxuan Du, Yanjie Wang, Luhang Wen, Keyang Hu, Keqiu Li
2025 C conf
An All-Digital Voltage Droop Detector Utilizing a Multi-Phase Clock assisted Nyquist Counter.
ISCAS
Zhangrui Qian, Kaize Zhou, Yuxuan Du, Zhiting Li, Weiwei Shan
2025 J jnl
Artificial intelligence for representing and characterizing quantum systems.
CoRR
Yuxuan Du, Yan Zhu, Yuan-Hang Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Weibo Gao, Ya-Dong Wu, Jens Eisert, Giulio Chiribella, Dacheng Tao, Barry C. Sanders
2025 J jnl
CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation.
CoRR
Yuxuan Du, Zhendong Wang, Yuhao Luo, Caiyong Piao, Zhiyuan Yan, Hao Li, Li Yuan
2025 J jnl
DeepDeconUQ estimates malignant cell fraction prediction intervals in bulk RNA-seq tissue.
PLoS Comput. Biol.
Jiawei Huang, Yuxuan Du, Kevin R. Kelly, Jinchi Lv, Yingying Fan, Jiang F. Zhong, Fengzhu Sun
2025 J jnl
Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors.
CoRR
Wei-You Liao, Yuxuan Du, Xinbiao Wang, Tian-Ci Tian, Yong Luo, Bo Du, Dacheng Tao, He-Liang Huang
2025 J jnl
Finite-time bumpless transfer control problem for switched LPV systems with guaranteed switching frequency.
Int. J. Control
Yuxuan Du, Jing Xie, Dong Yang, Zhihui Zhang
2025 J jnl
Flexible Job Scheduling With Spatial-Temporal Compatibility for In-Network Aggregation.
IEEE Trans. Computers
Yulong Li, Wenxin Li, Yuxuan Du, Yinan Yao, Song Zhang, Linxuan Zhong, Keqiu Li
2025 — conf
Gene Expression Dynamics in Endometriosis and Hashimoto Disease: Insights into Potential Overlaps.
ICBET
Ruojue Wang, Beibei Hu, Yuxuan Du, Manlin Zhang
2025 J jnl
On Exploring the Potential of Quantum Auto-Encoder for Learning Quantum Systems.
IEEE Trans. Neural Networks Learn. Syst.
Yuxuan Du, Dacheng Tao
2025 A conf
Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge.
INTERSPEECH
Shangkun Huang, Yuxuan Du, Jingwen Yang, Dejun Zhang, Xupeng Jia, Jing Deng, Jintao Kang, Rong Zheng
2025 J jnl
Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge.
CoRR
Shangkun Huang, Yuxuan Du, Jingwen Yang, Dejun Zhang, Xupeng Jia, Jing Deng, Jintao Kang, Rong Zheng
2025 J jnl
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization.
CoRR
Yiming Huang, Yajie Hao, Jing Zhou, Xiao Yuan, Xiaoting Wang, Yuxuan Du
2025 J jnl
Practical Iterative Quantum Consensus Protocol With Sharding Construction.
IEEE J. Sel. Areas Commun.
Chenhao Ying, Yuxuan Du, Weiting Zhang, Xikun Jiang, Gang Wang, Haiming Jin, Jie Li, Yuan Luo, Dacheng Tao
2025 J jnl
Quantifying Unknown Multiqubit Entanglement Using Machine Learning.
Entropy
Yukun Wang, Shaoxuan Wang, Jincheng Xing, Yuxuan Du, Xingyao Wu
2025 J jnl
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers.
CoRR
Yuxuan Du, Xinbiao Wang, Naixu Guo, Zhan Yu, Yang Qian, Kaining Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Dacheng Tao
2025 A* conf
RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models.
EMNLP
Zhuozhuo Tu, Cheng Chen, Yuxuan Du
2025 A* conf
Rethink the Role of Deep Learning towards Large-scale Quantum Systems.
ICML
Yusheng Zhao, Chi Zhang, Yuxuan Du
2025 J jnl
Rethink the Role of Deep Learning towards Large-scale Quantum Systems.
CoRR
Yusheng Zhao, Chi Zhang, Yuxuan Du
2025 J jnl
Sample-efficient quantum error mitigation via classical learning surrogates.
CoRR
Wei-You Liao, Ge Yan, Yujin Song, Tian-Ci Tian, Wei-Ming Zhu, De-Tao Jiang, Yuxuan Du, He-Liang Huang
2025 J jnl
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE.
CoRR
Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen, Kaining Zhang, Zhiding Liang, Ying Wang, Yuxuan Du
2025 J jnl
The auto-correlation enhanced transformer for information diffusion prediction in social networks.
Evol. Syst.
Yuxuan Du, Jing Lu
2024 — conf
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
Weiwei Shan, Kaize Zhou, Keran Li, Yuxuan Du, Zhuo Chen, Junyi Qian, Haitao Ge, Jun Yang, Xin Si
2024 J jnl
A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels.
IEEE Trans. Pattern Anal. Mach. Intell.
Songhua Wu, Tianyi Zhou, Yuxuan Du, Jun Yu, Bo Han, Tongliang Liu
2024 J jnl
A container optimal matching deployment algorithm based on CN-Graph for mobile edge computing.
J. Supercomput.
Huanle Rao, Sheng Chen, Yuxuan Du, Xiaobin Xu, Haodong Chen, Gangyong Jia
2024 — conf
An Adaptive Wide-Voltage-Range Droop Detection and Protection System Assisted with Timing Error Detection in 28nm CMOS.
CICC
Lishuo Deng, Zhengguo Shen, Zhuo Chen, Cai Li, Junyi Qian, Yuxuan Du, Kaize Zhou, Keran Li, Ruidong Li, Tuo Li, Xiaofeng Zou, Weiwei Shan
2024 — conf
An All-digital, 3.68 mV/LSB Voltage Sensor based Droop Prediction and Fast Mitigation System in 28nm CMOS.
A-SSCC
Yuxuan Du, Kaize Zhou, Zhuo Chen, Lishuo Deng, Tuo Li, Yan Lu, Weiwei Shan
2024 J jnl
CPPA-RORS: A conditional privacy-preserving authentication scheme based on revocable one-time ring signature for VANETs.
Internet Things
Xu Han, Zuodong Wu, Yang Li, Yuxuan Du
2024 A* conf
CaM: Cache Merging for Memory-efficient LLMs Inference.
ICML
Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji
2024 J jnl
DSC-TRCP: Dynamically Self-Calibrating Tunable Replica Critical Paths Based Timing Monitoring for Variation Resilient Circuits.
IEEE J. Solid State Circuits
Yuxuan Du, Junyi Qian, Zhengguo Shen, Chengjun Wu, Weiwei Shan, Xi Wang
2024 J jnl
DeepDecon accurately estimates cancer cell fractions in bulk RNA-seq data.
Patterns
Jiawei Huang, Yuxuan Du, Andres Stucky, Kevin R. Kelly, Jiang F. Zhong, Fengzhu Sun
2024 J jnl
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM.
CoRR
Wenxuan Zuo, Zifan Zhu, Yuxuan Du, Yi-Chun Yeh, Jed A. Fuhrman, Jinchi Lv, Yingying Fan, Fengzhu Sun
2024 — conf
Discrimination between RA and LA Sinus Rhythms using machine learning approach.
EMBC
Yuxuan Du, Jason A. Tri, Christopher V. DeSimone, Xiangzhen Kong, Elena G. Tolkacheva
2024 J jnl
Dynamical Analysis and Circuit Implementation of HR-FHN Neuron Model Coupled by Locally Active Memristor.
Int. J. Bifurc. Chaos
Xinying Li, Wenhui Guo, Yuxuan Du
2024 J jnl
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
2024 A* conf
Host-driven In-Network Aggregation on RDMA.
INFOCOM
Yulong Li, Wenxin Li, Yinan Yao, Yuxuan Du, Keqiu Li
2024 B conf
ImputeCC Enhances Integrative Hi-C-Based Metagenomic Binning Through Constrained Random-Walk-Based Imputation.
RECOMB
Yuxuan Du, Wenxuan Zuo, Fengzhu Sun
2024 J jnl
Imputing Metagenomic Hi-C Contacts Facilitates the Integrative Contig Binning Through Constrained Random Walk with Restart.
J. Comput. Biol.
Yuxuan Du, Wenxuan Zuo, Fengzhu Sun
2024 — conf
Integrating Self-Supervised Pre-Training With Adversarial Learning for Synthesized Song Detection.
SLT
Yankai Wang, Yuxuan Du, Dejun Zhang, Rong Zheng, Jing Deng
2024 A* conf
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness.
NeurIPS
Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2024 J jnl
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness.
CoRR
Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2024 A* conf
Neural Auto-designer for Enhanced Quantum Kernels.
ICLR
Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu
2024 J jnl
Neural auto-designer for enhanced quantum kernels.
CoRR
Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu
2024 J jnl
Quantum Circuit Architecture Search on a Superconducting Processor.
Entropy
Kehuan LingHu, Yang Qian, Ruixia Wang, Meng-Jun Hu, Zhiyuan Li, Xuegang Li, Huikai Xu, Jingning Zhang, Teng Ma, Peng Zhao, Dong E. Liu, Min-Hsiu Hsieh, Xingyao Wu, Yuxuan Du, Dacheng Tao, Yirong Jin, Haifeng Yu
2024 J jnl
Quantum Compiling with Reinforcement Learning on a Superconducting Processor.
CoRR
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
2024 J jnl
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem.
CoRR
Xinbiao Wang, Yuxuan Du, Kecheng Liu, Yong Luo, Bo Du, Dacheng Tao
2024 J jnl
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction.
Quantum Mach. Intell.
Yang Qian, Yuxuan Du, Dacheng Tao
2024 J jnl
The Dilemma of Quantum Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao
2024 — conf
The Fosafer System for The ICASSP2024 In-Car Multi-Channel Automatic Speech Recognition Challenge.
ICASSP Workshops
Shangkun Huang, Yuxuan Du, Yankai Wang, Jing Deng, Rong Zheng
2023 — conf
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
Yuxuan Du, Haitao Ge, Zhuo Chen, Kaize Zhou, Zhengguo Shen, Weiwei Shan
2023 J jnl
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.
Yuxuan Du, Junyi Qian, Zhuo Chen, Weiwei Shan
2023 C conf
An Improved Current Prediction Model for PMSM Drives Under Single Open-Phase Fault Considering Floating Motor Neutral.
IECON
Zeliang Zhang, Mohammed Alkahtani, Yihua Hu, Chao Gong, Yuxuan Du, Guangzhao Luo
2023 J jnl
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
Zhengguo Shen, Weiwei Shan, Yuxuan Du, Ziyu Li, Jun Yang
2023 J jnl
Coreset selection can accelerate quantum machine learning models with provable generalization.
CoRR
Yiming Huang, Huiyuan Wang, Yuxuan Du, Xiao Yuan
2023 J jnl
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification.
CoRR
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh
2023 J jnl
Design and analysis of leading one/zero detector based approximate multipliers.
Microelectron. J.
Yuxuan Du, Zhuo Chen, Boyang Cheng, Weiwei Shan
2023 J jnl
Design of high-efficiency complex multiplier for fault-tolerant computation.
Integr.
Zhuo Chen, Yuxuan Du, Boyang Cheng, Weiwei Shan
2023 A* conf
Holistic Label Correction for Noisy Multi-Label Classification.
ICCV
Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu
2023 J jnl
Multimodal deep representation learning for quantum cross-platform verification.
CoRR
Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao
2023 J jnl
Optical Quantum Sensing for Agnostic Environments via Deep Learning.
CoRR
Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao
2023 J jnl
Recent Advances for Quantum Neural Networks in Generative Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
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
2023 J jnl
ShadowNet for Data-Centric Quantum System Learning.
CoRR
Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao
2023 A* conf
Symmetric Pruning in Quantum Neural Networks.
ICLR
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
2023 J jnl
Transition role of entangled data in quantum machine learning.
CoRR
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao
2023 A* conf
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
ICML
Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
2022 J jnl
(2+1)D-SLR: an efficient network for video sign language recognition.
Neural Comput. Appl.
Fei Wang, Yuxuan Du, Guorui Wang, Zhen Zeng, Lihong Zhao
2022 — conf
A Voltage Error Quantizer For Digital Low Dropout Regulators With Fast Transient Response and Low Steady-State Error.
ICTA
Kaize Zhou, Dejian Li, Chongfei Shen, Yuxuan Du, Zhuo Chen, Weiwei Shan
2022 J jnl
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism.
Soc. Netw. Anal. Min.
Chien-Chih Chen, Yuxuan Du, Richards Peter, Wojciech M. Golab
2022 A* conf
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization.
NeurIPS
De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu
2022 J jnl
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
CoRR
Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu
2022 A* conf
DyRep: Bootstrapping Training with Dynamic Re-parameterization.
CVPR
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
2022 J jnl
DyRep: Bootstrapping Training with Dynamic Re-parameterization.
CoRR
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
2022 J jnl
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning.
CoRR
Qiuhao Chen, Yuxuan Du, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu
2022 J jnl
HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs.
Bioinform.
Yuxuan Du, Fengzhu Sun
2022 — conf
Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures.
BIC-TA
Weian Du, Runxin Wu, Haiyu Zhang, Chengyang Liu, Yuxuan Du
2022 J jnl
MSR: Making Self-supervised learning Robust to Aggressive Augmentations.
CoRR
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
2022 J jnl
Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression.
J. Comput. Biol.
Yuxuan Du, Sarah M. Laperriere, Jed A. Fuhrman, Fengzhu Sun
2022 J jnl
Quantum Differentially Private Sparse Regression Learning.
IEEE Trans. Inf. Theory
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
2022 A* conf
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning.
NeurIPS
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
2022 J jnl
Recent Advances for Quantum Neural Networks in Generative Learning.
CoRR
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
2022 J jnl
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction.
CoRR
Yang Qian, Yuxuan Du, Dacheng Tao
2022 J jnl
Speaker Diarization Based on Multi-channel Microphone Array in Small-scale Meeting.
CoRR
Yuxuan Du, Ruohua Zhou
2022 J jnl
Symmetric Pruning in Quantum Neural Networks.
CoRR
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
2022 J jnl
The BUCEA Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2022.
CoRR
Ruohua Zhou, Yuxuan Du, Chenlei Hu
2022 J jnl
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy.
CoRR
Yuxuan Du, Zhuozhuo Tu, Bujiao Wu, Xiao Yuan, Dacheng Tao
2021 J jnl
A Time-Domain Binary CNN Engine With Error-Detection-Based Resilience in 28nm CMOS.
IEEE Trans. Circuits Syst. II Express Briefs
Zhikuang Cai, Boyang Cheng, Yuxuan Du, Xinchao Shang, Weiwei Shan
2021 J jnl
A two-stage temporal proposal network for precise action localization in untrimmed video.
Int. J. Mach. Learn. Cybern.
Fei Wang, Guorui Wang, Yuxuan Du, Zhenquan He, Yong Jiang
2021 J jnl
Accelerating variational quantum algorithms with multiple quantum processors.
CoRR
Yuxuan Du, Yang Qian, Dacheng Tao
2021 — conf
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism.
IEEE BigData
Chien-Chih Chen, Yuxuan Du, Richards Peter, Wojciech M. Golab
2021 J jnl
On exploring practical potentials of quantum auto-encoder with advantages.
CoRR
Yuxuan Du, Dacheng Tao
2021 — conf
Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior.
ICSAI
Wei Wang, Yuxuan Du, Chuang Zhang, Xiaoli Zheng
2021 J jnl
The dilemma of quantum neural networks.
CoRR
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao
2021 J jnl
Towards understanding the power of quantum kernels in the NISQ era.
CoRR
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2021 J jnl
Towards understanding the power of quantum kernels in the NISQ era.
Quantum
Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
2020 — conf
An Energy-Efficient Time-Domain Binary Neural Network Accelerator with Error-Detection in 28nm CMOS.
APCCAS
Yuxuan Du, Xinchao Shang, Weiwei Shan
2020 J jnl
Experimental Quantum Generative Adversarial Networks for Image Generation.
CoRR
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
2020 J jnl
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers.
CoRR
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao
2020 J jnl
Quantum differentially private sparse regression learning.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
2020 J jnl
Quantum noise protects quantum classifiers against adversaries.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu
2019 J jnl
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
2019 J jnl
BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks.
Entropy
Jindong Chen, Yuxuan Du, Linlin Liu, Pinyi Zhang, Wen Zhang
2019 J jnl
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
2019 — conf
Real-time Human Corneal Images Processing Analysis of Placido Disk Corneal Topography Using Extenics.
ITQM
Nan Gao, Yuxuan Du, Yanwei Zhao
2018 J jnl
Implementable Quantum Classifier for Nonlinear Data.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
2018 A* conf
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization.
IJCAI
Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
2018 J jnl
The Expressive Power of Parameterized Quantum Circuits.
CoRR
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
2018 J jnl
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
Tao Xu, Yuxuan Du, Zonglei Lv