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diff --git a/_pages/about.md b/_pages/about.md
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-I'm now an Assistant Professor and PhD supervisor in Department of Computer Science and Technology, School of Informatics, Xiamen University. I received my PhD degree in computer science from Hong Kong Baptist University in 2019, supervised by [Prof. Yiu-ming Cheung]((http://www.comp.hkbu.edu.hk/~ymc/)), and received my bachelor and master degrees in software engineering from University of Macau in 2012 and 2014, supervised by [Prof. Yuan Yan Tang](https://www.fst.um.edu.mo/personal/yytang/). I was a research intern at Tencent in 2018. I have published over 40 top-tier papers, many of which have been featured in top-tier machine learning journals (JCR Q1) such as IEEE TNNLS and IEEE TCYB, as well as top-tier AI and computer vision conferences (CCF-A class) like CVPR, ICCV, AAAI, IJCAI, and MM. I have led several projects, including the General Project and Youth Project of the National Natural Science Foundation of China, the Major Project of the Fujian New Think Tank, the General Project of the Fujian Natural Science Foundation, and open projects at the Zhejiang Lab. I serve as a member of the Machine Vision Committee and the Secretary-General of the Xiamen Member Activity Center of the China Society of Image and Graphics. I also serve as the Associate Editor of the international journal IEEE Transactions on Emerging Topics in Computational Intelligence. I was honored as the "Xiaomi Young Scholar" in 2023. My research interests include deep learning and computer vision. My research direction is trustworthy deep learning, including long-tail learning, federated learning, label-noise learning and continual learning.
+I'm now an Assistant Professor and PhD supervisor in Department of Computer Science and Technology, School of Informatics, Xiamen University. I received my PhD degree in computer science from Hong Kong Baptist University in 2019, supervised by [Prof. Yiu-ming Cheung]((http://www.comp.hkbu.edu.hk/~ymc/)), and received my bachelor and master degrees in software engineering from University of Macau in 2012 and 2014, supervised by [Prof. Yuan Yan Tang](https://www.fst.um.edu.mo/personal/yytang/). I was a research intern at Tencent in 2018. I have published over 40 top-tier papers, many of which have been featured in top-tier machine learning journals (JCR Q1) such as IEEE TNNLS and IEEE TCYB, as well as top-tier AI and computer vision conferences (CCF-A class) like CVPR, ICCV, AAAI, IJCAI, and MM. I have led several projects, including the General Project and Youth Project of the National Natural Science Foundation of China, the Major Project of the Fujian New Think Tank, the General Project of the Fujian Natural Science Foundation, and open projects at the Zhejiang Lab. I serve as a member of the Machine Vision Committee and the Secretary-General of the Xiamen Member Activity Center of the China Society of Image and Graphics. I also serve as the Associate Editor of the international journal IEEE Transactions on Emerging Topics in Computational Intelligence. I was honored as the "Xiaomi Young Scholar" in 2023, and obtained the best paper award on DOCS 2024. My research interests include deep learning and computer vision. My research direction is trustworthy deep learning, including long-tail learning, federated learning, label-noise learning and continual learning.
 
 For undergraduate students, please check [本科招生简章](http://jasonyanglu.github.io/undergraduate). For postgraduate students, please check [硕士招生简章](http://jasonyanglu.github.io/postgraduate).
 
 <span style="color:red">**There is still a few postgraduate quota in Fall 2025. Please contact me ASAP. **</span>
 
 
 ## Recent News
+* **Aug 17 2024**: Our paper about federated clustering wins the best paper award on DOCS 2024!
 * **July 16 2024**: Three ACMMM papers are accepted!
 * **Apr 17 2024**: One paper about long-tailed continual learning is accepted by IJCAI . Congrats to Chenxing!
 * **Dec 27 2023**: Receive Xiaomi Youth Scholar Award.

diff --git a/_pages/about_cn.md b/_pages/about_cn.md
@@ -5,7 +5,7 @@ excerpt: "关于"
 author_profile: true
 ---
 
-我就职于厦门大学信息学院计算机科学与技术系，任助理教授，博士生导师。我于2019年获得香港浸会大学计算机科学专业博士学位，导师是[张晓明教授](http://www.comp.hkbu.edu.hk/~ymc/)，于2012年和2014年分别获得澳门大学软件工程专业本科和硕士学位，导师是[唐远炎教授](https://www.fst.um.edu.mo/personal/yytang/)，并曾于2018年在腾讯担任实习研究员。目前已发表高水平论文40余篇，其中多篇论文发表在机器学习一流期刊（JCR 1区）如IEEE TNNLS和IEEE TCYB等，以及人工智能和计算机视觉顶级会议（CCF A类）如CVPR、ICCV、AAAI、IJCAI、MM等。主持国家自然科学基金面上项目及青年项目、福建省新型智库重大课题、福建省自然科学基金面上项目、之江实验室开放课题等多个项目。任中国图象图形学学会机器视觉专委会委员、中国图象图形学学会厦门会员活动中心秘书长、以及国际知名期刊IEEE Transactions on Emerging Topics in Computational Intelligence责任编委（Associate Editor）。获得2023年度“小米青年学者”荣誉称号。目前主要研究方向为面向开放世界的鲁棒深度学习，包含长尾学习、联邦学习、噪声标签学习等机器学习前沿领域。
+我就职于厦门大学信息学院计算机科学与技术系，任助理教授，博士生导师。我于2019年获得香港浸会大学计算机科学专业博士学位，导师是[张晓明教授](http://www.comp.hkbu.edu.hk/~ymc/)，于2012年和2014年分别获得澳门大学软件工程专业本科和硕士学位，导师是[唐远炎教授](https://www.fst.um.edu.mo/personal/yytang/)，并曾于2018年在腾讯担任实习研究员。目前已发表高水平论文40余篇，其中多篇论文发表在机器学习一流期刊（JCR 1区）如IEEE TNNLS和IEEE TCYB等，以及人工智能和计算机视觉顶级会议（CCF A类）如CVPR、ICCV、AAAI、IJCAI、MM等。主持国家自然科学基金面上项目及青年项目、福建省新型智库重大课题、福建省自然科学基金面上项目、之江实验室开放课题等多个项目。任中国图象图形学学会机器视觉专委会委员、中国图象图形学学会厦门会员活动中心秘书长、以及国际知名期刊IEEE Transactions on Emerging Topics in Computational Intelligence责任编委（Associate Editor）。获得2023年度“小米青年学者”荣誉称号，在智能优化领域重要会议DOCS 2024获得最佳论文奖。目前主要研究方向为面向开放世界的鲁棒深度学习，包含长尾学习、联邦学习、噪声标签学习等机器学习前沿领域。
 
 有意加入课题组的本科生，请查看[本科招生简章](http://jasonyanglu.github.io/undergraduate)；有意加入课题组的硕士生，请查看[硕士招生简章](http://jasonyanglu.github.io/postgraduate)，
 
@@ -14,6 +14,7 @@ author_profile: true
 
 ## 近期动态
 
+* **2024年8月17日**：关于联邦聚类的论文获得DOCS 2024最佳论文奖！
 * **2024年7月16日**：三篇文章被ACMMM接收！
 * **2024年4月17日**：一篇关于长尾持续学习的文章被IJCAI接收，恭喜晨星！
 * **2023年12月27日**：荣获2023年度小米青年学者荣誉称号！

diff --git a/_pages/publications.md b/_pages/publications.md
@@ -21,6 +21,9 @@ Yukang Zhang, **Yang Lu**, Yan Yan, Hanzi Wang, Xuelong Li. \[[arXiv](https://ar
 Liyuan Wang, Yan Jin, Zhen Chen, Jinlin Wu, Mengke Li, **Yang Lu\***, Hanzi Wang. \[[arXiv](https://arxiv.org/abs/2404.18758)\]
 
 ## Conference
+- [<span style="color:blue">**DOCS’24**</span>] Federated Clustering with Unknown Number of Clusters  
+  Yiqun Zhang, Rong Zou, Yunfan Zhang, **Yang Lu**, Mengke Li and Yiu-ming Cheung  
+  _The 6th International Conference on Data-driven Optimization of Complex Systems_, Hangzhou, China, August 26-18, 2024. (<span style="color:red">**Best paper award**</span>)
 - [<span style="color:blue">**MM’24**</span>] Semi-supervised Visible-Infrared Person Re-identification via Modality Unification and Confidence Guidance  
   Xiying Zheng, Yukang Zhang, **Yang Lu**, and Hanzi Wang  
   _ACM Multimedia_, Melbourne, Australia, October 28 - November 1, 2024. (CCF-A)
@@ -105,10 +108,6 @@ Liyuan Wang, Yan Jin, Zhen Chen, Jinlin Wu, Mengke Li, **Yang Lu\***, Hanzi Wang
   **Yang Lu**, Yiu-ming Cheung, and Yuan Yan Tang  
   _Pacific-Asia Conference on Knowledge Discovery and Data Mining_, pp. 14-26, Auckland, New Zealand, April 19-22, 2016. (CCF-C)  
 
-- [<span style="color:blue">**ICMLC’15**</span>] Learning Performance of DAGSVM Algorithm Based on Markov Sampling  
-  Jie Xu, **Yang Lu**, and Bin Zou  
-  _International Conference on Machine Learning and Cybernetics_, pp. 910-915, Guangzhou, China, July 12-15, 2015.  
-
 - [<span style="color:blue">**SMC’14**</span>] A Novel Method for Protein Structure Retrieval Using Tableau Representation and Sparse Coding  
   **Yang Lu**, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo and Yuan Yan Tang  
   _IEEE International Conference on Systems, Man and Cybernetics_, pp. 4042-4046, San Diego, USA, October 5-8, 2014. (CCF-C)