Neural Auto-designer for Enhanced Quantum Kernels
Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu † (Under my supervision, '†' stands for corresponding author)
International Conference on Learning Representations (ICLR ), 2024
[PDF]
A Time-Consistency Curriculum for Learning from Instance-Dependent Noisy Labels
Songhua Wu, Tianyi Zhou, Yuxuan Du, Jun Yu; Bo Han; Tongliang Liu † ('†' stands for corresponding author)
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024
[PDF]
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-hsiu Hsieh † ('†' stands for corresponding author)
Physical Reviewer Letter (PRL), 2023
[PDF]
Recent Advances for Quantum Neural Networks in Generative Learning
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 † (Under my supervision, '†' stands for corresponding author)
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023
[PDF]
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise
Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
International Conference on Machine Learning (ICML ), 2023
QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines
Zeqiao Zhou, Yuxuan Du †, Xinmei Tian †, Dacheng Tao † (Under my supervision, '†' stands for corresponding author)
Physical Review Applied, 2023
[PDF]
Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du †, Dacheng Tao † (Under my supervision, '†' stands for corresponding author)
International Conference on Learning Representations (ICLR ), Spotlight 2023
[PDF]
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu
Neural Information Processing Systems (NeurIPS), 2022
[PDF]
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
Neural Information Processing Systems (NeurIPS), 2022
[PDF]
The dilemma of quantum neural networks
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao (Under my supervision)
10.1109/TNNLS.2022.3208313 (TNNLS), 2022
[PDF]
[Source code]
Quantum architecture search for variational quantum algorithms
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao
10.1038/s41534-022-00570-y (npj Quantum Information), 2022
[PDF]
A distributed learning scheme for variational quantum algorithms
Yuxuan Du, Yang Qian, Xingyao Wu, Dacheng Tao
10.1109/TQE.2022.3175267 (TQE), 2022
[PDF]
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du †, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
Advances in Neural Information Processing Systems (NeuRIPS), 2022
[PDF]
Quantum differentially private sparse regression learning
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
TIT.2022.3164726 (TIT), 2022
[PDF]
Efficient Bipartite Entanglement Detection Scheme with a Quantum Adversarial Solver
Xu-Fei Yin*, Yuxuan Du*, Yue-Yang Fei*, Rui Zhang, Li-Zheng Liu, Yingqiu Mao, Tongliang Liu, Min-Hsiu Hsieh, Li Li, Nai-Le Liu, Dacheng Tao, Yu-Ao Chen, and Jian-Wei Pan ('*' stands for co-authors)
PhysRevLett.128.110501 (PRL), 2022
[PDF]
DyRep: Bootstrapping Training with Dynamic Re-parameterization
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF]
Learnability of quantum neural networks
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
PRXQuantum.2.040337 (PRX Quantum), 2021
[PDF]
Towards understanding the power of quantum kernels in the NISQ era
Xinbiao Wang*, Yuxuan Du*, Yong Luo, Dacheng Tao (Under my supervision, '*' stands for co-authors)
Quantum 5, 531 (2021) (Quantum), 2021
[PDF]
Experimental quantum generative adversarial networks for image generation
He-liang 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 ('*' stands for co-authors)
Phys. Rev. Applied 16, 024051 (PRApplied, Editor Suggestion), 2021
[PDF]
Hands-on tutorial is provided by Pennylane [Demo]
Quantum noise protects quantum classifiers against adversaries
Yuxuan Du, Min-hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu
Phys. Rev. Research 3, 023153 (PRR), 2021
[PDF]
A Grover-search based quantum learning scheme for classification
Yuxuan Du, Min-hsiu Hsieh, Tongliang Liu, Dacheng Tao
New Journal of Physics (NJP), 2021
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Quantum-inspired algorithm for general minimum conical hull problems
Yuxuan Du, Min-hsiu Hsieh, Tongliang Liu, Dacheng Tao
Phys. Rev. Research 2, 033199 (PRR), 2020
[PDF]
Expressive power of parametrized quantum circuits
Yuxuan Du, Min-hsiu Hsieh, Tongliang Liu, Dacheng Tao
Phys. Rev. Research 2, 033125 (PRR), 2020
[PDF]
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), 2018
[PDF]
New insights on the magnetic properties of ferromagnetic FePd3 single-crystals encapsulated inside carbon nanomaterials
Filippo S Boi, Yuxuan Du , Sameera Ivaturi, Yi He, Shanling Wang
Materials Research Express, 2017
[PDF]
Multimodal deep representation learning for quantum cross-platform
Yang Qian, Yuxuan Du †, Zhenliang He, Min-hsiu Hsieh, Dacheng Tao
[Arxiv]
Coreset selection can accelerate quantum machine learning models with provable generalization
Yiming Huang, Huiyuan Wang, Yuxuan Du , Xiao Yuan
[Arxiv]
ShadowNet for Data-Centric Quantum System Learning
Yuxuan Du , Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao
[Arxiv]
Transition role of entangled data in quantum machine learning
Xinbiao Wang, Yuxuan Du †, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao ('†' stands for corresponding author)
[Arxiv]
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
Yang Qian, Yuxuan Du †, Dacheng Tao † (Under my supervision, '†' stands for corresponding author)
[Arxiv]
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
Yuxuan Du, Zhuozhuo Tu, Bujiao Wu, Xiao Yuan, Dacheng Tao
[Arxiv]
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Qiuhao Chen, Yuxuan Du †, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu † (Under my supervision, '†' stands for corresponding author)
[Arxiv]
Unentangled quantum reinforcement learning agents in the OpenAI Gym
Jen-Yueh Hsiao, Yuxuan Du , Wei-Yin Chiang, Min-Hsiu Hsieh, Hsi-Sheng Goan
[Arxiv]
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Yexiong Lin, Yu Yao, Yuxuan Du , Jun Yu, Bo Han, Mingming Gong, Tongliang Liu
[Arxiv]
Quantum circuit architecture search on a superconducting processor
Kehuan Linghu, Yang Qian, Ruixia wang †, Meng-Jun Hu, Zhiyang 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 (Under my supervision, '†' stands for corresponding author)
[Arxiv]
On exploring practical potentials of quantum auto-encoder with advantages
Yuxuan Du, Dacheng Tao
[Arxiv]