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_pages/includes/intro.md

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 <!-- I work at [Sea AI Lab](https://sail.sea.com/) <img src='./images/logo-sea-header-desktop.webp' style='width: 6em;'> as a research scientist now, leading the audio team and doing some fundamental audio-related research. We are [hiring researchers and engineers](https://career.sea.com/position/427) to work on TTS, music generation, speech translation and audio-driven talking face generation. If interested, feel free to email me at [[email protected]](mailto:[email protected]). -->
 
-I'm Xiaolin Hu, pursuing Ph.D. at [Gaoling School of Artificial Intelligence](http://ai.ruc.edu.cn/) <img src='./images/logo-gsai-header-desktop.png' style='width: 8em;'> , Renmin University of China. I am fortunate to be advised by Prof. [Yong Liu](https://liuyonggsai.github.io/). Currently I am a Research Intern at Xiaomi's AI Lab, where I focus on Edge Large Language Models (LLMs), mentored by [Wei Liu](https://www.linkedin.com/in/wei-liu-40a97a39/?originalSubdomain=cn) and [Jian Luan](https://www.linkedin.com/in/jian-luan-58b5a428/?originalSubdomain=cn). Previously, I received my B.E. and M.E. degrees in communication and information system from Shanghai University in 2018 and 2021, respectively. Between 2018 and 2021, I collaborated with Prof. [Nicholas E. Buris](https://www.linkedin.com/in/nick-buris-a974ba5/) as part of the Intelligent Multi-Input Multi-Output Systems (i-MIMOs) research group. Additionally, I gained research experience as an Intern at the [OPPO Research Institute](https://www.oppo.com/en/proposal/) <img src='./images/oppo-logo.png' style="width: 3.8em;"> from October 2020 to February 2021, under the mentorship of [Xianyue Wu](https://www.linkedin.com/in/wuxianyue/) and [Tehuang Liu](https://www.linkedin.com/in/tehuangliu/?originalSubdomain=cn). 
+I'm Xiaolin Hu, pursuing Ph.D. at [Gaoling School of Artificial Intelligence](http://ai.ruc.edu.cn/) <img src='./images/logo-gsai-header-desktop.png' style='width: 8em;'> , Renmin University of China. I am fortunate to be advised by Prof. [Yong Liu](https://liuyonggsai.github.io/). Currently I am a Research Intern at Xiaomi's AI Lab <img src='./images/mi-logo.png' style="width: 3.8em;">, where I focus on Edge Large Language Models (LLMs), mentored by [Wei Liu](https://www.linkedin.com/in/wei-liu-40a97a39/?originalSubdomain=cn) and [Jian Luan](https://www.linkedin.com/in/jian-luan-58b5a428/?originalSubdomain=cn). Previously, I received my B.E. and M.E. degrees in communication and information system from Shanghai University in 2018 and 2021, respectively. Between 2018 and 2021, I collaborated with Prof. [Nicholas E. Buris](https://www.linkedin.com/in/nick-buris-a974ba5/) as part of the Intelligent Multi-Input Multi-Output Systems (i-MIMOs) research group. Additionally, I gained research experience as an Intern at the [OPPO Research Institute](https://www.oppo.com/en/proposal/) <img src='./images/oppo-logo.png' style="width: 3.8em;"> from October 2020 to February 2021, under the mentorship of [Xianyue Wu](https://www.linkedin.com/in/wuxianyue/) and [Tehuang Liu](https://www.linkedin.com/in/tehuangliu/?originalSubdomain=cn). 
 
 <!-- I worked with Prof. [Nicholas E. Buris](https://www.linkedin.com/in/nick-buris-a974ba5/) in the Intelligent Multi-Input Multi-Output Systems(i-MIMOs) research group from 2018 to 2021. I was an Intern Researcher at [OPPO Research Institute](https://www.oppo.com/en/proposal/) <img src='./images/oppo-logo.png' style="width: 3.8em;"> from October 2020 to February 2021, under supervision by Xianyue Wu and Dehuang Liu.  -->
 
@@ -9,10 +9,12 @@ I'm Xiaolin Hu, pursuing Ph.D. at [Gaoling School of Artificial Intelligence](ht
 <!-- I am currently bridging large language models(LLMs) and the next-generation of intelligent personal computing platforms. Toward my vision of building a human-centered application ecosystem based on the fundation models, I am broadly interested in the following topics: -->
 
 I am currently bridging LLMs and personal edge devices. With a long-term goal of contributing to a human-centered application ecosystem based on large models, I am particularly interested in:
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 <!-- 
 Toward the long vision of building a human-centered application ecosystem based on the fundation models, I am interested in the following topics:  -->
 (1) Science-Driven LLMs Training: Exploring the scientific principles of LLMs training and fine-tuning. 
 <!-- (1) Science Driven Tuning: to pursue scientific principles behind optimization of LLMs and use them to guide human-centerd personal model development. --> 
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 (2) Personal Edge LLMs Serving: Developing efficient algorithms for LLMs on edge devices to enhance personalized services.
 
 

_pages/includes/news.md

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 - *2024.9*: One paper is accepted by NeurIPS 2025! [Enhancing In-Context Learning with just SVD-Based Pruning: A Theoretical Perspective](https://arxiv.org/abs/2406.03768) 
 - *2024.6*: Xiaomi Young Scholar Research Program (PI: Yong Liu) received approval, focusing on fine-tuning edge LLMs for personalized services. 
 - *2024.5*: One Paper is accepted by KDD 2025! [LLMs may Dominate Information Access](https://arxiv.org/abs/2310.20501) 
-- *2023.12*: Started internship at Xiaomi AI Lab, focusing on efficient fine-tuning of edge LLMs.
-- *2023.10*: Our work on [LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts](https://arxiv.org/abs/2310.20501) is out!
+- *2023.12*: Started internship at Xiaomi AI Lab, focusing on efficient fine-tuning of edge LLMs. 
+- *2023.10*: Our work on [LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts](https://arxiv.org/abs/2310.20501) is out! 
 - *2023.06*: Excited to be awarded as Third Prize in the [MindSpore](https://www.mindspore.cn/) Large Language Model Innovation Training Camp. 
 - *2023.03*: Prof. Yong Liu presents our paper on generalization error of gederated leanring at AI TIME [[Video](https://www.bilibili.com/video/BV1Wk4y1i7Xv?t=231.7)]. 
 - *2023.03*: I attend the [2023 Workshop on Machine Learning Theory and Foundations](https://iiis.tsinghua.edu.cn/show-10351-1.html), Microsoft Research Asia.