Update cv.md

Author: zyaocoder

_pages/cv.md

@@ -17,27 +17,27 @@ Education
 
 Work experience
 ======
-* 2021/02 - Present: Lehigh University, WiNS Lab | Bethlehem, PA, USA
+* 2021/02 - Present: **Lehigh University**, WiNS Lab | Bethlehem, PA, USA \\
   *Research Assistant*
   * Supervisor: [Mooi Choo Chuah](https://www.cse.lehigh.edu/~chuah/)
   * Conduct research and propose cutting-edge algorithms; Design experiments and perform qualitative and quantitative evaluations
 
-* 2025/05 - 2025/08: Johnson & Johnson, Computer Vision Team | Cambridge, MA, USA
+* 2025/05 - 2025/08: **Johnson & Johnson**, Computer Vision Team | Cambridge, MA, USA \\
   *Computer Vision Intern*
   * Mentor: [Brandon Ginley](https://scholar.google.com/citations?user=UDz46zwAAAAJ&hl=en)
   * 
 
-* 2024/12 - 2025/06: [8th Workshop on Efficient Deep Learning for Computer Vision](https://lpcv.ai/), CVPR Workshop | Nashville, TN, USA
+* 2024/12 - 2025/06: **8th Workshop on Efficient Deep Learning for Computer Vision**, CVPR Workshop | Nashville, TN, USA \\
   *Technical Program Committee*
   * Mentor: [Shuai Zhang](https://zsivine.github.io/)
   * Organize the 2025 IEEE Low Power Computer Vision Challenge (LPCVC) open-vocabulary segmentation track (40+ teams involved); Collect data and evaluate the baseline model
 
-* 2021/02 - 2021/05: Lehigh University, P.C. Rossing College of Engineering and Applied Science | Bethlehem, PA, USA
+* 2021/02 - 2021/05: **Lehigh University**, P.C. Rossing College of Engineering and Applied Science | Bethlehem, PA, USA \\
   *Teaching Assistant of CSE-160: Introduction to Data Science*
   * Mentor: [Brian D. Davison](https://www.cse.lehigh.edu/~brian/)
   * Assisted 100+ students in understanding Machine Learning and data mining theory; Hosted weekly lab sessions to guide students in hands-on coding exercises
 
-* 2019/09 - 2020/05: New York University, Tandon School of Engineering | New York, NY, USA
+* 2019/09 - 2020/05: **New York University**, Tandon School of Engineering | New York, NY, USA \\
   *Teaching Assistant of CS-2214: Computer Architecture*
   * Mentor: [Anam Waheed](https://www.linkedin.com/in/anam-waheed/)
   * Held office hours twice a week to help 150+ students with their questions; Collaborated with the instructor in lecture delivery and exam development
@@ -52,13 +52,13 @@ Skills
 Publications
 ======
 * [Event-guided Low-light Video Semantic Segmentation](https://www.arxiv.org/abs/2505.01548) \\
-<small>Zhen Yao, Xiaowen Ying, and Mooi Choo Chuah. arXiv, 2025.</small>
+<small>**Zhen Yao**, Xiaowen Ying, and Mooi Choo Chuah. arXiv, 2025.</small>
 * [WACV 2025] [Event-guided Low-light Video Semantic Segmentation](https://openaccess.thecvf.com/content/WACV2025/html/Yao_Event-Guided_Low-Light_Video_Semantic_Segmentation_WACV_2025_paper.html) \\
-<small>Zhen Yao, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.</small>
-* [CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections](https://ieeexplore.ieee.org/document/10611660) \\
-<small>Zhen Yao, Jiawei Xu, Shuhang Hou, and Mooi Choo Chuah. IEEE International Conference on Robotics and Automation (ICRA), 2024.</small>
-* [Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving](https://ieeexplore.ieee.org/abstract/document/10367760) \\
-<small>Zhen Yao, Xin Li, Bo Lang, and Mooi Choo Chuah. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023.</small>
-* [Robustness of trajectory prediction models under map-based attacks](https://openaccess.thecvf.com/content/WACV2023/html/Zheng_Robustness_of_Trajectory_Prediction_Models_Under_Map-Based_Attacks_WACV_2023_paper.html) \\
-<small>Zhihao Zheng, Xiaowen Ying, Zhen Yao, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.</small>
+<small>**Zhen Yao**, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.</small>
+* [ICRA 2024] [CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections](https://ieeexplore.ieee.org/document/10611660) \\
+<small>**Zhen Yao**, Jiawei Xu, Shuhang Hou, and Mooi Choo Chuah. IEEE International Conference on Robotics and Automation (ICRA), 2024.</small>
+* [T-ITS 2023] [Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving](https://ieeexplore.ieee.org/abstract/document/10367760) \\
+<small>**Zhen Yao**, Xin Li, Bo Lang, and Mooi Choo Chuah. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023.</small>
+* [WACV 2023] [Robustness of trajectory prediction models under map-based attacks](https://openaccess.thecvf.com/content/WACV2023/html/Zheng_Robustness_of_Trajectory_Prediction_Models_Under_Map-Based_Attacks_WACV_2023_paper.html) \\
+<small>Zhihao Zheng, Xiaowen Ying, **Zhen Yao**, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.</small>