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Journal Articles
- 2024
[j22]Xu Han
, Zuodong Wu, Yang Li, Yuxuan Du:
CPPA-RORS: A conditional privacy-preserving authentication scheme based on revocable one-time ring signature for VANETs. Internet Things 27: 101257 (2024)- [j21]Yuxuan Du, Junyi Qian, Zhengguo Shen, Chengjun Wu, Weiwei Shan, Xi Wang:
DSC-TRCP: Dynamically Self-Calibrating Tunable Replica Critical Paths Based Timing Monitoring for Variation Resilient Circuits. IEEE J. Solid State Circuits 59(7): 2286-2296 (2024) - [j20]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): 4830-4842 (2024) - [j19]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): 100969 (2024) - [j18]Yang Qian, Yuxuan Du, Dacheng Tao:
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell. 6(1): 32 (2024) - [j17]Huanle Rao, Sheng Chen, Yuxuan Du, Xiaobin Xu, Haodong Chen, Gangyong Jia:
A container optimal matching deployment algorithm based on CN-Graph for mobile edge computing. J. Supercomput. 80(19): 27147-27175 (2024) - [j16]Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao:
The Dilemma of Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5603-5615 (2024) - 2023
- [j15]Zhuo Chen, Yuxuan Du, Boyang Cheng, Weiwei Shan:
Design of high-efficiency complex multiplier for fault-tolerant computation. Integr. 90: 190-195 (2023) - [j14]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): 1462-1471 (2023) - [j13]Yuxuan Du, Zhuo Chen, Boyang Cheng, Weiwei Shan:
Design and analysis of leading one/zero detector based approximate multipliers. Microelectron. J. 136: 105783 (2023) - [j12]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): 12321-12340 (2023) - [j11]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): 4888-4899 (2023) - 2022
- [j10]Yuxuan Du, Fengzhu Sun:
HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs. Bioinform. 38(11): 2973-2979 (2022) - [j9]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): 106-120 (2022) - [j8]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): 2413-2423 (2022) - [j7]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): 114 (2022) - [j6]Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao:
Quantum Differentially Private Sparse Regression Learning. IEEE Trans. Inf. Theory 68(8): 5217-5233 (2022) - 2021
- [j5]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): 2199-2211 (2021) - [j4]Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
Towards understanding the power of quantum kernels in the NISQ era. Quantum 5: 531 (2021) - [j3]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): 3177-3181 (2021) - 2019
- [j2]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): 57 (2019) - 2018
- [j1]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): 110-115 (2018)
Conference and Workshop Papers
- 2024
- [c22]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: 1-2 - [c21]Shangkun Huang, Yuxuan Du, Yankai Wang, Jing Deng, Rong Zheng:
The Fosafer System for The ICASSP2024 In-Car Multi-Channel Automatic Speech Recognition Challenge. ICASSP Workshops 2024: 5-6 - [c20]Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu:
Neural Auto-designer for Enhanced Quantum Kernels. ICLR 2024 - [c19]Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang, Shiwei Liu, Rongrong Ji:
CaM: Cache Merging for Memory-efficient LLMs Inference. ICML 2024 - [c18]Yulong Li, Wenxin Li, Yinan Yao, Yuxuan Du, Keqiu Li:
Host-driven In-Network Aggregation on RDMA. INFOCOM 2024: 1051-1060 - [c17]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: 256-258 - [c16]Yuxuan Du, Wenxuan Zuo, Fengzhu Sun:
ImputeCC Enhances Integrative Hi-C-Based Metagenomic Binning Through Constrained Random-Walk-Based Imputation. RECOMB 2024: 99-114 - 2023
- [c15]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: 1-2 - [c14]Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu:
Holistic Label Correction for Noisy Multi-Label Classification. ICCV 2023: 1483-1493 - [c13]Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao:
Symmetric Pruning in Quantum Neural Networks. ICLR 2023 - [c12]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: 39660-39673 - [c11]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: 1-6 - 2022
- [c10]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: 621-627 - [c9]Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu:
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CVPR 2022: 578-587 - [c8]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: 102-103 - [c7]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 - [c6]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 - 2021
- [c5]Chien-Chih Chen, Yuxuan Du, Richards Peter, Wojciech M. Golab:
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism. IEEE BigData 2021: 2476-2486 - [c4]Wei Wang, Yuxuan Du, Chuang Zhang, Xiaoli Zheng:
Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior. ICSAI 2021: 1-6 - 2020
- [c3]Yuxuan Du, Xinchao Shang, Weiwei Shan:
An Energy-Efficient Time-Domain Binary Neural Network Accelerator with Error-Detection in 28nm CMOS. APCCAS 2020: 70-73 - 2019
- [c2]Nan Gao, Yuxuan Du, Yanwei Zhao:
Real-time Human Corneal Images Processing Analysis of Placido Disk Corneal Topography Using Extenics. ITQM 2019: 383-391 - 2018
- [c1]Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao:
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization. IJCAI 2018: 2093-2099
Informal and Other Publications
- 2024
- [i34]Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu:
Neural auto-designer for enhanced quantum kernels. CoRR abs/2401.11098 (2024) - [i33]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 abs/2404.04317 (2024) - [i32]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 abs/2405.07226 (2024) - [i31]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 abs/2406.12195 (2024) - [i30]Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao:
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits. CoRR abs/2408.12199 (2024) - [i29]Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness. CoRR abs/2409.18692 (2024) - 2023
- [i28]Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh:
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. CoRR abs/2301.01597 (2023) - [i27]Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao:
Transition role of entangled data in quantum machine learning. CoRR abs/2306.03481 (2023) - [i26]Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao:
ShadowNet for Data-Centric Quantum System Learning. CoRR abs/2308.11290 (2023) - [i25]Yiming Huang, Huiyuan Wang, Yuxuan Du, Xiao Yuan:
Coreset selection can accelerate quantum machine learning models with provable generalization. CoRR abs/2309.10441 (2023) - [i24]Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao:
Multimodal deep representation learning for quantum cross-platform verification. CoRR abs/2311.03713 (2023) - [i23]Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao:
Optical Quantum Sensing for Agnostic Environments via Deep Learning. CoRR abs/2311.07203 (2023) - 2022
- [i22]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 abs/2201.12739 (2022) - [i21]Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu:
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CoRR abs/2203.12868 (2022) - [i20]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 abs/2204.06904 (2022) - [i19]Yuxuan Du, Zhuozhuo Tu, Bujiao Wu, Xiao Yuan, Dacheng Tao:
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy. CoRR abs/2205.04730 (2022) - [i18]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 abs/2206.01999 (2022) - [i17]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 abs/2206.03066 (2022) - [i16]Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao:
Symmetric Pruning in Quantum Neural Networks. CoRR abs/2208.14057 (2022) - [i15]Ruohua Zhou, Yuxuan Du, Chenlei Hu:
The BUCEA Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2022. CoRR abs/2209.09635 (2022) - [i14]Yang Qian, Yuxuan Du, Dacheng Tao:
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. CoRR abs/2209.12454 (2022) - [i13]Yuxuan Du, Ruohua Zhou:
Speaker Diarization Based on Multi-channel Microphone Array in Small-scale Meeting. CoRR abs/2210.14644 (2022) - 2021
- [i12]Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
Towards understanding the power of quantum kernels in the NISQ era. CoRR abs/2103.16774 (2021) - [i11]Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao:
The dilemma of quantum neural networks. CoRR abs/2106.04975 (2021) - [i10]Yuxuan Du, Yang Qian, Dacheng Tao:
Accelerating variational quantum algorithms with multiple quantum processors. CoRR abs/2106.12819 (2021) - [i9]Yuxuan Du, Dacheng Tao:
On exploring practical potentials of quantum auto-encoder with advantages. CoRR abs/2106.15432 (2021) - 2020
- [i8]Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu:
Quantum noise protects quantum classifiers against adversaries. CoRR abs/2003.09416 (2020) - [i7]Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao:
Quantum differentially private sparse regression learning. CoRR abs/2007.11921 (2020) - [i6]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 abs/2010.06201 (2020) - [i5]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 abs/2010.10217 (2020) - 2019
- [i4]Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao:
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications. CoRR abs/1904.09602 (2019) - [i3]Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao:
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems. CoRR abs/1907.06814 (2019) - 2018
- [i2]Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao:
Implementable Quantum Classifier for Nonlinear Data. CoRR abs/1809.06056 (2018) - [i1]Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao:
The Expressive Power of Parameterized Quantum Circuits. CoRR abs/1810.11922 (2018)
Coauthor Index
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