Xianyu Chen

Publications

* Equal contribution (counted as first author) · Also on Google Scholar

Dissertation

D1

Ph.D. dissertation2026 Distinguished Dissertation Award

Building Human-Like Machine Intelligence: Advancing Attention by Modeling, Alignment, and Explainability

Xianyu Chen.

Ph.D. dissertation, University of Minnesota, 2025. Chapters 2–6 appeared as C7, C10, C9, J7 and C11.

BibTeX
@phdthesis{chen2025building,
  title  = {Building Human-Like Machine Intelligence: Advancing Attention by Modeling, Alignment, and Explainability},
  author = {Chen, Xianyu},
  school = {University of Minnesota},
  year   = {2025},
  month  = nov,
  url    = {https://hdl.handle.net/11299/279218}
}

Human attention & vision⁠–⁠language 2021–2024

C11

ECCV 2024Oral · top 2.3%

GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths

Xianyu Chen, Ming Jiang, and Qi Zhao.

European Conference on Computer Vision (ECCV), LNCS vol. 15066, pp. 314–333, 2024.

BibTeX
@inproceedings{chen2024gazexplain,
  title     = {{GazeXplain}: Learning to Predict Natural Language Explanations of Visual Scanpaths},
  author    = {Chen, Xianyu and Jiang, Ming and Zhao, Qi},
  booktitle = {European Conference on Computer Vision (ECCV)},
  series    = {LNCS},
  volume    = {15066},
  pages     = {314--333},
  year      = {2024}
}
J7

TPAMI 2024

Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention

Xianyu Chen, Jinhui Yang, Shi Chen, Louis Wang, Ming Jiang, and Qi Zhao.

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 7, pp. 4720–4735, Jul. 2024.

BibTeX
@article{chen2024every,
  title   = {Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention},
  author  = {Chen, Xianyu and Yang, Jinhui and Chen, Shi and Wang, Louis and Jiang, Ming and Zhao, Qi},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume  = {46},
  number  = {7},
  pages   = {4720--4735},
  year    = {2024},
  doi     = {10.1109/TPAMI.2024.3357631}
}
C10

CVPR 2024

Beyond Average: Individualized Visual Scanpath Prediction

Xianyu Chen, Ming Jiang, and Qi Zhao.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 25420–25431, 2024.

BibTeX
@inproceedings{chen2024beyond,
  title     = {Beyond Average: Individualized Visual Scanpath Prediction},
  author    = {Chen, Xianyu and Jiang, Ming and Zhao, Qi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {25420--25431},
  year      = {2024}
}
C9

CVPR 2022Co-first

VisualHow: Multimodal Problem Solving

Jinhui Yang*, Xianyu Chen*, Ming Jiang, Shi Chen, Louis Wang, and Qi Zhao.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15606–15616, 2022.

BibTeX
@inproceedings{yang2022visualhow,
  title     = {{VisualHow}: Multimodal Problem Solving},
  author    = {Yang, Jinhui and Chen, Xianyu and Jiang, Ming and Chen, Shi and Wang, Louis and Zhao, Qi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {15606--15616},
  year      = {2022}
}
C8

IJCAI 2021

Leveraging Human Attention in Novel Object Captioning

Xianyu Chen, Ming Jiang, and Qi Zhao.

International Joint Conference on Artificial Intelligence (IJCAI), pp. 622–628, 2021.

BibTeX
@inproceedings{chen2021leveraging,
  title     = {Leveraging Human Attention in Novel Object Captioning},
  author    = {Chen, Xianyu and Jiang, Ming and Zhao, Qi},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  pages     = {622--628},
  year      = {2021}
}
C7

CVPR 2021

Predicting Human Scanpaths in Visual Question Answering

Xianyu Chen, Ming Jiang, and Qi Zhao.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10871–10880, 2021.

BibTeX
@inproceedings{chen2021predicting,
  title     = {Predicting Human Scanpaths in Visual Question Answering},
  author    = {Chen, Xianyu and Jiang, Ming and Zhao, Qi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {10871--10880},
  year      = {2021}
}

Neural signals & applied ML 2026

J9

TBME 2026

SARM: Benchtop Evaluation of a Task-Driven Two-Stage Deep Learning Framework for Stimulation Artifact Removal in Peripheral Neural Decoding

Brian Z.H. Lim, Markus Drealan, Anh Tuan Nguyen, Byeongchan Jeong, Maral Daneshyan, Xianyu Chen, Qi Zhao, and Zhi Yang.

IEEE Transactions on Biomedical Engineering (TBME), early access, Sep. 2026.

BibTeX
@article{lim2026sarm,
  title   = {{SARM}: Benchtop Evaluation of a Task-Driven Two-Stage Deep Learning Framework for Stimulation Artifact Removal in Peripheral Neural Decoding},
  author  = {Lim, Brian Z.H. and Drealan, Markus and Nguyen, Anh Tuan and Jeong, Byeongchan and Daneshyan, Maral and Chen, Xianyu and Zhao, Qi and Yang, Zhi},
  journal = {IEEE Transactions on Biomedical Engineering},
  year    = {2026},
  note    = {Early access},
  doi     = {10.1109/TBME.2026.3737488}
}
J8

Infrastructures 2026

A Two-Stage Feature Reduction (FIRRE) Framework for Improving Artificial Neural Network Predictions in Civil Engineering Applications

Yaohui Guo, Ling Xu, Xianyu Chen, and Zifeng Zhao.

Infrastructures, vol. 11, no. 1, Art. no. 29, Jan. 2026.

BibTeX
@article{guo2026firre,
  title   = {A Two-Stage Feature Reduction ({FIRRE}) Framework for Improving Artificial Neural Network Predictions in Civil Engineering Applications},
  author  = {Guo, Yaohui and Xu, Ling and Chen, Xianyu and Zhao, Zifeng},
  journal = {Infrastructures},
  volume  = {11},
  number  = {1},
  note    = {Art. no. 29},
  year    = {2026},
  doi     = {10.3390/infrastructures11010029}
}

Few-shot detection & captioning 2020–2021

C6

WACV 2021

Self-Distillation for Few-Shot Image Captioning

Xianyu Chen, Ming Jiang, and Qi Zhao.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 545–555, 2021.

BibTeX
@inproceedings{chen2021self,
  title     = {Self-Distillation for Few-Shot Image Captioning},
  author    = {Chen, Xianyu and Jiang, Ming and Zhao, Qi},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  pages     = {545--555},
  year      = {2021}
}
J6

TIP 2020Co-first

DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection

Xianyu Chen*, Yali Wang*, Jianzhuang Liu, and Yu Qiao.

IEEE Transactions on Image Processing (TIP), vol. 29, pp. 7765–7778, 2020.

BibTeX
@article{chen2020did,
  title   = {{DID}: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection},
  author  = {Chen, Xianyu and Wang, Yali and Liu, Jianzhuang and Qiao, Yu},
  journal = {IEEE Transactions on Image Processing},
  volume  = {29},
  pages   = {7765--7778},
  year    = {2020},
  doi     = {10.1109/TIP.2020.3006397}
}
C5

AAAI 2020

Context-Transformer: Tackling Object Confusion for Few-Shot Detection

Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, and Yu Qiao.

AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 7, pp. 12653–12660, 2020.

BibTeX
@inproceedings{yang2020context,
  title     = {{Context-Transformer}: Tackling Object Confusion for Few-Shot Detection},
  author    = {Yang, Ze and Wang, Yali and Chen, Xianyu and Liu, Jianzhuang and Qiao, Yu},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  volume    = {34},
  number    = {7},
  pages     = {12653--12660},
  year      = {2020},
  doi       = {10.1609/aaai.v34i07.6957}
}

Earlier work: wireless and visible light communication

Sun Yat-sen University · 2016–2019
J5

WCL 2019

Enhanced Adaptive Polar-Linear Interpolation Aided Channel Estimation

Xianyu Chen and Ming Jiang.

IEEE Wireless Communications Letters (WCL), vol. 8, no. 3, pp. 693–696, Jun. 2019.

BibTeX
@article{chen2019enhanced,
  title   = {Enhanced Adaptive Polar-Linear Interpolation Aided Channel Estimation},
  author  = {Chen, Xianyu and Jiang, Ming},
  journal = {IEEE Wireless Communications Letters},
  volume  = {8},
  number  = {3},
  pages   = {693--696},
  year    = {2019},
  doi     = {10.1109/LWC.2018.2883735}
}
J4

TVT 2019

Recursive Carrier Interferometry Aided High Data Rate OFDM Systems With PAPR Suppression, Phase Noise Rejection, and Carrier Frequency Offsets Compensation

Huaiyin Lu, Lin Zhang, Xianyu Chen, and Zhiqiang Wu.

IEEE Transactions on Vehicular Technology (TVT), vol. 68, no. 4, pp. 3655–3671, Apr. 2019.

BibTeX
@article{lu2019recursive,
  title   = {Recursive Carrier Interferometry Aided High Data Rate {OFDM} Systems With {PAPR} Suppression, Phase Noise Rejection, and Carrier Frequency Offsets Compensation},
  author  = {Lu, Huaiyin and Zhang, Lin and Chen, Xianyu and Wu, Zhiqiang},
  journal = {IEEE Transactions on Vehicular Technology},
  volume  = {68},
  number  = {4},
  pages   = {3655--3671},
  year    = {2019},
  doi     = {10.1109/TVT.2019.2900012}
}
J3

WCL 2019

Relay-Aided Request-Aware Distributed Packet Caching for Device-to-Device Communication

Kuan Wu, Ming Jiang, Fengxia She, and Xianyu Chen.

IEEE Wireless Communications Letters (WCL), vol. 8, no. 1, pp. 217–220, Feb. 2019.

BibTeX
@article{wu2019relay,
  title   = {Relay-Aided Request-Aware Distributed Packet Caching for Device-to-Device Communication},
  author  = {Wu, Kuan and Jiang, Ming and She, Fengxia and Chen, Xianyu},
  journal = {IEEE Wireless Communications Letters},
  volume  = {8},
  number  = {1},
  pages   = {217--220},
  year    = {2019},
  doi     = {10.1109/LWC.2018.2867471}
}
J1

TSP 2017

Adaptive Statistical Bayesian MMSE Channel Estimation for Visible Light Communication

Xianyu Chen and Ming Jiang.

IEEE Transactions on Signal Processing (TSP), vol. 65, no. 5, pp. 1287–1299, Mar. 2017.

BibTeX
@article{chen2017adaptive,
  title   = {Adaptive Statistical {Bayesian} {MMSE} Channel Estimation for Visible Light Communication},
  author  = {Chen, Xianyu and Jiang, Ming},
  journal = {IEEE Transactions on Signal Processing},
  volume  = {65},
  number  = {5},
  pages   = {1287--1299},
  year    = {2017},
  doi     = {10.1109/TSP.2016.2630036}
}

Patents

11 granted · 3 pending

English titles of Chinese patents are translations.

Pending applications (2026)

Granted (China)

University of Minnesota application (2023)