BibTeX
qian2024mgnet
Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao, “MG-Net: Learn to Customize QAOA with Circuit Depth Awareness,” In 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Sep 2024.
@inproceedings{qian2024mgnet,
title={MG-Net: Learn to Customize QAOA with Circuit Depth Awareness},
author={Qian, Yang and Wang, Xinbiao and Du, Yuxuan and Luo, Yong and Tao, Dacheng},
booktitle={Advances in Neural Information Processing Systems},
year={2024}
}
qian2024multimodal
Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao, “Multimodal Deep Representation Learning for Quantum Cross-Platform Verification,” Physical Review Letters, Aug 2024.
@article{qian2024multimodal,
title={Multimodal deep representation learning for quantum cross-platform verification},
author={Qian, Yang and Du, Yuxuan and He, Zhenliang and Hsieh, Min-Hsiu and Tao, Dacheng},
journal={Physical Review Letters},
volume={133},
number={13},
pages={130601},
year={2024},
publisher={APS}
}
qian2024shuffle
Yang Qian, Yuxuan Du, Dacheng Tao, “Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction,” Quantum Machine Intelligence, Jun 2024.
@article{qian2024shuffle,
title={Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction},
author={Qian, Yang and Du, Yuxuan and Tao, Dacheng},
journal={Quantum Machine Intelligence},
volume={6},
number={1},
pages={1--22},
year={2024},
publisher={Springer}
}
qian2022dilemma
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao, “The dilemma of quantum neural networks,” IEEE Transactions on Neural Networks and Learning Systems, Oct 2022.
@article{qian2022dilemma,
title={The dilemma of quantum neural networks},
author={Qian, Yang and Wang, Xinbiao and Du, Yuxuan and Wu, Xingyao and Tao, Dacheng},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2022},
publisher={IEEE}
}
du2022distributed
Yuxuan Du, Yang Qian, Xingyao Wu, Dacheng Tao, “A distributed learning scheme for variational quantum algorithms”, IEEE Transactions on Quantum Engineering, May 2022.
@article{du2022distributed,
title={A distributed learning scheme for variational quantum algorithms},
author={Du, Yuxuan and Qian, Yang and Wu, Xingyao and Tao, Dacheng},
journal={IEEE Transactions on Quantum Engineering},
volume={3},
pages={1--16},
year={2022},
publisher={IEEE}
}
linghu2022quantum
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, “Quantum circuit architecture search on a superconducting processor”, arXiv:2201.00934, Jan 2022. 
@article{linghu2022quantum,
title={Quantum circuit architecture search on a superconducting processor},
author={Linghu, Kehuan and Qian, Yang and Wang, Ruixia and Hu, Meng-Jun and Li, Zhiyuan and Li, Xuegang and Xu, Huikai and Zhang, Jingning and Ma, Teng and Zhao, Peng and others},
journal={arXiv preprint arXiv:2201.00934},
year={2022}
}
meng2021poseface
Qiang Meng, Xiaqing Xu, Xiaobo Wang, Yang Qian, Yunxiao Qin, Zezheng Wang, Chenxu Zhao, Feng Zhou, Zhen Lei, “PoseFace: Pose-invariant features and pose-adaptive loss for face recognition”, arXiv:2107.11721, Jul 2021.
@article{meng2021poseface,
title={PoseFace: Pose-invariant features and pose-adaptive loss for face recognition},
author={Meng, Qiang and Xu, Xiaqing and Wang, Xiaobo and Qian, Yang and Qin, Yunxiao and Wang, Zezheng and Zhao, Chenxu and Zhou, Feng and Lei, Zhen},
journal={arXiv preprint arXiv:2107.11721},
year={2021}
}
li2021activity
Yinlin Li, Yang Qian, Xu Yang, Yuren Zhang, “Activity and relationship modeling driven weakly supervised object detection”, 25th International Conference on Pattern Recognition (ICPR), Jan 2021.
@inproceedings{li2021activity,
title={Activity and relationship modeling driven weakly supervised object detection},
author={Li, Yinlin and Qian, Yang and Yang, Xu and Zhang, Yuren},
booktitle={2020 25th International Conference on Pattern Recognition (ICPR)},
pages={9628--9634},
year={2021},
organization={IEEE}
}
li2020robust
Xiaoqing Li, Yang Qian, Rui Li, Xingyu Niu, Hong Qiao, “Robust form-closure grasp planning for 4-pin gripper using learning-based attractive region in environment”, Neurocomputing, Apr 2024.
@article{li2020robust,
title={Robust form-closure grasp planning for 4-pin gripper using learning-based attractive region in environment},
author={Li, Xiaoqing and Qian, Yang and Li, Rui and Niu, Xingyu and Qiao, Hong},
journal={Neurocomputing},
volume={384},
pages={268--281},
year={2020},
publisher={Elsevier}
}
li2019supervised
Yinlin Li, Lihao Jia, Zidong Wang, Yang Qian, Hong Qiao, “Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning”, Neurocomputing, Mar 2019.
@article{li2019supervised,
title={Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning},
author={Li, Yinlin and Jia, Lihao and Wang, Zidong and Qian, Yang and Qiao, Hong},
journal={Neurocomputing},
volume={334},
pages={11--24},
year={2019},
publisher={Elsevier}
}
qian2018understanding
Yang Qian, Hong Qiao, Jing Xu, “Understanding deep neural network by filter sensitive area generation network”, Neural Information Processing: 25th International Conference, ICONIP 2018.
@inproceedings{qian2018understanding,
title={Understanding deep neural network by filter sensitive area generation network},
author={Qian, Yang and Qiao, Hong and Xu, Jing},
booktitle={Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I 25},
pages={192--203},
year={2018},
organization={Springer}
}