refactor: Remove CV page and update navigation and about page

_config.yml

@@ -196,17 +196,6 @@ collections:
 
 # Defaults
 defaults:
-  # _posts
-  - scope:
-      path: ""
-      type: posts
-    values:
-      layout: single
-      author_profile: true
-      read_time: true
-      comments: true
-      share: true
-      related: true
   # _pages
   - scope:
       path: ""
@@ -231,14 +220,6 @@ defaults:
       author_profile: true
       share: true
       comment: true
-  # _talks
-  - scope:
-      path: ""
-      type: talks
-    values:
-      layout: talk
-      author_profile: true
-      share: true
 
 # Sass/SCSS
 sass:

_data/navigation.yml

@@ -1,19 +1,10 @@
 # main links links
 main:
-  - title: "Research"
-    url: /research/
+  # - title: "Research"
+  #   url: /research/
 
   - title: "Projects"
     url: /projects/
 
-  - title: "Publications"
-    url: /publications/
-
-  # - title: "Software"
-  #   url: /software/
-
-  # - title: "Posts"
-  #   url: /posts/
-
   - title: "CV"
     url: /files/pdf/Zh_Resume.pdf

_pages/about.md

@@ -46,9 +46,9 @@ My current research interet is Medical Image Analysis, and LLM with Robot.
 <div class='paper-box'><div class='paper-box-image'><img src='/images/publications/nidslam.png' alt="sym" width="100%"></div>
 <div class='paper-box-text' markdown="1">
 
-NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In Dynamic Environments, Ziheng Xu, Jianwei Niu, Qingfeng Li, Tao Ren, **Chen Chen**, Xinlei Zhang, Haochen Zhao.
+NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In Dynamic Environments, Ziheng Xu, Jianwei Niu, Qingfeng Li, Tao Ren, **Chen Chen**.
 
-**KSEM, 2024** 
+**ICME, 2024** 
 <!-- - We enable robust novel view synthesis from casually captured in-the-wild images. -->
 </div>
 </div>
@@ -57,9 +57,9 @@ NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In Dynamic Environment
 <div class='paper-box'><div class='paper-box-image'><img src='/images/publications/nidslam.png' alt="sym" width="100%"></div>
 <div class='paper-box-text' markdown="1">
 
-L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation, Xiaoze Wu, Qingfeng Li, **Chen Chen**.
+L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation, Xiaoze Wu, Qingfeng Li, **Chen Chen**, Xinlei Zhang, Haochen Zhao.
 
-**ICME, 2024** 
+**KSEM, 2024** 
 <!-- - We enable robust novel view synthesis from casually captured in-the-wild images. -->
 </div>
 </div>
@@ -93,4 +93,3 @@ Domain knowledge powered deep learning for breast cancer diagnosis based on cont
 - Volunteer for ShanXing 100 Charity Activity
 
 
----

_pages/projects.md

@@ -2,12 +2,36 @@
 permalink: /projects/
 title: "Projects"
 ---
-**Contributed to MindSpore\(an open-source deep learning framework from Huawei\)**
-**Operator Development:** 
-Individually completed the migration of over ten computation operators from PyTorch to MindSpore. Accomplished the development of operators such as AdjustGamma, GriffinLim, Vad, and etc.. Development tasks encompassed operator IR layer implementation, operator implementation, C++ layer interfaces, Python layer interfaces, as well as unit testing. The coding work involves implementing FFT and SGD in C++. The performance of delivered operators met the acceptance criteria, and have been merged into the main branch.
+
+
+
+
+
+## Research and Application of Intelligent Service Robot Based on Dynamic Environment Understanding 
+**State key R&D Program of Zhejiang Province, China**
+
+
+
+
+
+
+## Research on Key Technologies for Breast Tumor Diagnosis Based on Hybrid Enhanced Intelligence
+**National Natural Science Foundation of China**
+
+
+
+
+## Mindspore 
+***Open source project**
+
+<!-- **Contributed to MindSpore\(an open-source deep learning framework from Huawei\)** -->
+* Operator Development:
  <a href="https://gitee.com/mindspore/mindspore/commits/master?user=chenx2ovo" target="_blank">Gitee Commits</a>
 
-**Model Migration:**
-Conducted inference and training for the DEIT model on Huawei Ascend 910/310 AI chips. This involved converting the model using ONNX and PyTorch, validating inference accuracy and speed, and analyzing algorithm performance using profiling to identify bottlenecks. Adjusted training strategies on the Huawei NPU platform to replicate model accuracy.
+
+<!-- Individually completed the migration of over ten computation operators from PyTorch to MindSpore. Accomplished the development of operators such as AdjustGamma, GriffinLim, Vad, and etc.. Development tasks encompassed operator IR layer implementation, operator implementation, C++ layer interfaces, Python layer interfaces, as well as unit testing. The coding work involves implementing FFT and SGD in C++. The performance of delivered operators met the acceptance criteria, and have been merged into the main branch. -->
+
+* Model Migration:
  <a href="https://gitee.com/ascend/modelzoo-his/commits/master?user=chenx2ovo" target="_blank">Gitee Commits</a>
+<!-- Conducted inference and training for the DEIT model on Huawei Ascend 910/310 AI chips. This involved converting the model using ONNX and PyTorch, validating inference accuracy and speed, and analyzing algorithm performance using profiling to identify bottlenecks. Adjusted training strategies on the Huawei NPU platform to replicate model accuracy. -->