Update pubs.md

Author: Valeyards

_pages/pubs.md

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 <div class='paper-box'>
-<div class='paper-box-image'><div><div class="badge">Computers in Biology and Medicine (IF:7.7) </div>
+<div class='paper-box-image'><div><div class="badge">IEEE Transactions on Medical Imaging </div>
+<a href="https://ieeexplore.ieee.org/abstract/document/10571965">
+<img src='images/pub/hicervix.png' alt="sym" width="100%" title="" href="https://ieeexplore.ieee.org/abstract/document/10571965">
+</a>  
+</div></div>
+<div class='paper-box-text' markdown="1">
+## **<font color=SteelBlue >HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification</font>**
+
+---
+
+ D. Cai†, J. Chen†, J. H. Zhao†, Y. Xue, S. Yang, **W. Yuan**, M. Feng, H. Y. Weng, S. G. Liu,
+ Y. L. Peng, J. Y. Zhu, K. R. Wang, C. Jackson, H. P. Tang#, J. Z. Huang, X. Y. Wang#
+
+- This work introduce HiCervix, the most extensive, multi-center cervical cytology dataset currently available to the public. HiCervix includes 40,229 cervical cells from 4,496 whole slide images, categorized into 29 annotated classes. Along with our benchmark HierSwin method HierSwin, a hierarchical vision transformer-based classification network. 
+
+</div>
+</div>
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+<div class='paper-box'>
+<div class='paper-box-image'><div><div class="badge">Computers in Biology and Medicine </div>
 <a href="https://www.sciencedirect.com/science/article/pii/S0010482524007583">
 <img src='images/pub/macg.png' alt="sym" width="100%" title="" href="https://www.sciencedirect.com/science/article/pii/S0010482524007583">
 </a>  
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 <div class='paper-box'>
-<div class='paper-box-image'><div><div class="badge">Remote Sensing (IF:5.0) </div>
+<div class='paper-box-image'><div><div class="badge">Remote Sensing </div>
 <a href="https://www.mdpi.com/2072-4292/16/11/1956">
 <img src='images/pub/esatsr.png' alt="sym" width="100%" title="">
 </a>