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jindongwang · Jul 3, 2023 · c47cb97 · c47cb97
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+Paper *Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution* is accepted by KDD 2023 workshop on Causal Discovery, Prediction and Decision. [[arxiv](https://arxiv.org/abs/2209.00652)]
diff --git a/_pages/about.md b/_pages/about.md
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 jindongwang [at] outlook.com, jindong.wang [at] microsoft.com<br>
 [Google scholar](https://scholar.google.com/citations?user=hBZ_tKsAAAAJ) | [DBLP](https://dblp.org/pid/19/2969-1.html) | [Github](https://github.com/jindongwang) || [Twitter](https://twitter.com/jd92wang) | [Zhihu](https://www.zhihu.com/people/jindongwang) | [Wechat](http://jd92.wang/assets/img/wechat_public_account.jpg) | [Bilibili](https://space.bilibili.com/477087194) || [CV](https://go.jd92.wang/cv) [CV (Chinese)](https://go.jd92.wang/cvchinese)
 
-I'm currently a Senior Researcher at [Microsoft Research Asia (MSRA)](http://www.msra.cn/), in a group managed by [Xing Xie](https://www.microsoft.com/en-us/research/people/xingx/). Before joining MSRA, I obtained my Ph.D. from Institute of Computing Technology, Chinese Academy of Sciences in June, 2019. My doctoral thesis was awarded the excellent Ph.D. thesis of Chinese Academy of Sciences. In 2018/04--2018/08, I was a visitor of Prof. [Qiang Yang](https://cse.hkust.edu.hk/~qyang/)'s group at Hong Kong University of Science and Technology (HKUST). My work on transfer learning won the best paper awards in ICCSE 2018 and FTL-IJCAI 2019. In 2021, I published the textbook [Introduction to Transfer Learning](http://jd92.wang/tlbook), a hands-on introduction to transfer learning. In 2022, I was selected as one of the [2022 AI 2000 Most Influential Scholars](https://www.aminer.cn/ai2000?domain_ids=5dc122672ebaa6faa962c2a4) by AMiner between 2012-2021 (ranked 49/2000). Four of my first-author papers are ranked by Google Scholar as [highly-cited papers](https://zhuanlan.zhihu.com/p/421192644). I gave tutorials at [IJCAI'22](https://dgresearch.github.io/).
+I'm currently a Senior Researcher at [Microsoft Research Asia (MSRA)](http://www.msra.cn/), in a group managed by [Xing Xie](https://www.microsoft.com/en-us/research/people/xingx/). Before joining MSRA, I obtained my Ph.D. from Institute of Computing Technology, Chinese Academy of Sciences in June, 2019. My doctoral thesis was awarded the excellent Ph.D. thesis of Chinese Academy of Sciences. In 2018/04--2018/08, I was a visitor of Prof. [Qiang Yang](https://cse.hkust.edu.hk/~qyang/)'s group at Hong Kong University of Science and Technology (HKUST). My work on transfer learning won the best paper awards in ICCSE 2018 and FTL-IJCAI 2019. In 2021, I published the textbook [Introduction to Transfer Learning](http://jd92.wang/tlbook), a hands-on introduction to transfer learning. In 2022, I was selected as one of the [2022 AI 2000 Most Influential Scholars](https://www.aminer.cn/ai2000?domain_ids=5dc122672ebaa6faa962c2a4) by AMiner between 2012-2021 (ranked 49/2000). Four of my first-author papers are ranked by Google Scholar as [highly-cited papers](https://zhuanlan.zhihu.com/p/421192644). I gave tutorials at IJCAI'22, WSDM'23, and KDD'23.
 
-**Research interest:** robust machine learning, out-of-distribution / domain generalization, transfer learning, semi-supervised learning, federated learning, and related applications such as activity recognition and computer vision. These days, I'm particularly interested in Large Language Models (LLMs) robustness. See this [page](https://jd92.wang/research/) for more details. *Interested in [internship](https://zhuanlan.zhihu.com/p/102558267) or collaboration? Contact me.*
+**Research interest:** robust machine learning, out-of-distribution / domain generalization, transfer learning, semi-supervised learning, federated learning, and related applications such as activity recognition and computer vision. These days, I'm particularly interested in *Large Language Models (LLMs)* robustness. See this [page](https://jd92.wang/research/) for more details. *Interested in [internship](https://zhuanlan.zhihu.com/p/102558267) or collaboration? Contact me.*
 
 **Announcement:** I'm experimenting a new form of research collaboration. You can click [here](https://forms.office.com/r/32Fs6uAjT6) if you are interested!