/wenhao2

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BIOGRAPGHY

I am a Master's student at the School of Artificial Intelligence, Xidian University. I am set to obtain my Master's degree in 2025, advised by Prof. Yuwei Guo. For my undergraduate studies, I attended the School of Computer Science at Xidian University, achieving a GPA of 3.7. During my master's program, I have actively contributed to four significant projects in Cross-Modal Person Re-identification (VI-ReID), Brain Age Prediction, and Non-learned Operator based Deep Learning Models.

I intend to pursue a Ph.D. program in Fall 2025 with a focus on Multi-Modal Application, especially within the realms of AI for Human or Societal Benefit. You can reach me at zwhxd2@stu.xidian.edu.cn.

CV / Transcripts / SOP / Reference Letter

EDUCATION AND QUALIFICATIONS

Xidian University Artificial Intelligence (GPA 3.8/4.0) M.S., 2025 (Expected)

Xidian University Computer Science (GPA 3.7/4.0) B.S. 2022

RESEARCH EXPERIENCE

2024

RENet: Reliable and Efficient Cross Modality Learning for Unsupervised Visible and Infrared Person Re-identification (USL-VI-ReID)

renet

  • Proposed Hashing-based Metric to reliably measure the cross-modal similarity, improving the Rank-1 accuracy by 2.39% compared to the commonly used distance metrics.
  • Devised a Multi-directional Update module to efficiently bridge the modal gap, achieving SOTA performance.

A 6-month Internship at the Wan Lab, University of Nebraska Medical Center

6-mon

  • Collaborated on advancing the project in predicting brain age using local image features of T1-MRI scans.
  • Optimized and enhanced the Local U-Net for Brain Age Prediction by utilizing the Swin Transformer Block. The code has been open-sourced and is available at Wan Lab.
  • Received a letter of recommendation.

2023

Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-Identification (VI-ReID)

tran

  • Proposed a data augmentation PedMix, tailored for VI-ReID, effectively improving the mean Average Precision (mAP) by 4.67%.
  • Introduced a Modality Feature Transfer module, integrating cross-attention and convolution networks with minimum computational overhead, generating discriminative modality-complete features.
  • Submission Update: AAAI 2024 (3 wa & 1 wr) to TCSVT. The preprint is available at Publication.

Lightweight Directional-Aware Network for Classification

ldan

  • Conducted a comprehensive review of all non-learned operators-based Deep Learning models, providing a classification of current methods.
  • Introduced a lightweight directional-aware network, achieving state-of-the-art performance at a significantly lower computational cost.
  • Submitted to Artificial Intelligence Review. (Revision Submitted)

PUBLICATIONS

  • Yuwei Guo, Wenhao Zhang, Yupeng Gao, Licheng Jiao, Rong Qu, Shuang Wang, Fang Liu, Jiabo Du. (2024). Revisiting Non-Learned Operators Based Deep Learning: A Lightweight Directional-Aware Network for Classification. In Artificial Intelligence Review. (Revision Submitted)

  • Yuwei Guo, Wenhao Zhang, Licheng Jiao, Jiabo Du, Shuo Wang, Shuang Wang and Liu Fang. (2024). Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification. In IEEE Transactions on Circuits and Systems for Video Technology. (Under Review)

  • Yuwei Guo, Wenhao Zhang, Jiabo Du, Licheng Jiao, Rong Qu, Shuang Wang, Fang Liu, Wei Zhan. (2024). RENet: Reliable and Efficient Cross Modality Learning for Unsupervised Visible and Infrared Person Re-identification.

  • Yuwei Guo, Jiabo Du, Licheng Jiao, Wenhao Zhang, Shuo Wang, Shuang Wang and Liu Fang. (2023). Causal Consistency Model for Semi-supervised Classification. In Knowledge-based Systems. (Under Review)

My current supervisor serves as the first author.

PATENTS

  • Yuwei Guo, Wenhao Zhang, Jiabo Du, Wei Zhan. (2023). Cross-Modal Pedestrian Re-Identification Method Based on Spatial Data Augmentation and Symmetric Cross-Modal Attention. CN Patent, Application No. 202310838299.7.

  • Yuwei Guo, Jiabo Du, Wenhao Zhang, Yupeng Gao. (2022). Causal Inference Based Semi-Supervised Image Classification Method. CN Patent, Application No. 202210896650.3.

  • Yuwei Guo, Yupeng Gao, Jiabo Du, Wenhao Zhang. (2022). Image Classification Method based on Shearlet Networks and Directional Attention Mechanism. CN Patent, Application No. 202211044682.7.

HONORS AND AWARDS

  • Xidian First-Class Fellowship, Xidian University (2022-2023)

  • Xidian Scholarship, Xidian University (2018-2022)

  • Provincial First Prize in the 8th China International College Students ‘Internet+’ Innovation and Entrepreneurship Competition Skills (2022)

  • Provincial Second Prize in the 7th China International College Students ‘Internet+’ Innovation and Entrepreneurship Competition Skills (2021)

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