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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<title>Simian Luo - THU</title>
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<table width="900" border="0" align="center" cellspacing="0" cellpadding="20">
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<p align="center">
<font size="6">Simian Luo 骆思勉</font>
</p>
</td>
</tr>
<tr>
<td>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
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<td width="67%" valign="middle" style="text-align:justify">
<p>I am Simian Luo, 23, currently a second year M.S student in Artificial Intelligence at
<a href="https://iiis.tsinghua.edu.cn/en/"> IIIS (Institute for Interdisciplinary Information Sciences)</a>, <a href="https://www.tsinghua.edu.cn/en/">Tsinghua University (清华交叉信息研究院) </a>
advised by <a href="https://hangzhaomit.github.io/">Prof. Hang Zhao</a>.
<p> Previously, I received my B.E. in Data Science from <a href="https://sds.fudan.edu.cn">School of Data Science</a>,
<a href="https://sds.fudan.edu.cn">Fudan University</a>, advised by <a href="http://yanweifu.github.io">Prof. Yanwei Fu</a>.
</p>
<p>
My research interest focus on Advanced Generative Model, Multi-Modal Generation and LLM Application.
In specfic, I have researched in diffusion model, audio-visual generation, 3D generation, and Augmentated LLM.
<br>
Currently, I am focused on developing new advanced Generative Models that can accelerate the development of the AI Generated Content (AIGC) industry.
<!-- I am especially interested in
multi-modal machine learning and audio & speech processing,
including speech synthesis, audio-visual learning, and some novel tasks
combining audio, vision, language and other modalities.
My research vision is to enable machines to learn, reason and interact from multi-modal inputs,
just like human beings. -->
</p>
<p align="center">
<!-- <a href="files/cv.pdf">CV</a> | -->
<a href="mailto:[email protected]">E-Mail</a> |
<a href="https://scholar.google.com/citations?user=I4UjoWoAAAAJ&hl=zh-CN">Google Scholar</a> |
<a href="https://github.com/luosiallen">Github</a>
</p>
</td>
<td width="100%" valign="top">
<!-- <div class="circ">
<img src="images/me.jpg" width="50%">
</div> -->
<img src="images/me5.jpg" width="95%">
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</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td>
<sectionheading>News</sectionheading>
</td>
</tr>
</table>
<table class="news-table" width="100%" align="center" border="0" style="text-align: justify">
<colgroup>
<col width="15%">
<col width="85%">
</colgroup>
<tbody>
<tr>
<td valign="top" align="center"><tableheading>Nov. 2023</tableheading></td>
<td>
<img src="images/new.png" alt="[NEW]" width="5%" style="border-style: none">
<!-- An invited <a href="https://www.techbeat.net/talk-info?id=629">talk</a> at <a href="https://www.techbeat.net/">JiangMen TechBeat</a>, about Neural Dubber: Dubbing for Videos According to Scripts -->
Follow our latest work: <font color="red"><strong>LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.</strong></font> A training-free neural network-based acceleration module that can directly plugged into various finetuned SD and SD LoRAs.<strong>!!</strong>
</td>
</tr>
<tr>
<td valign="top" align="center"><tableheading>Oct. 2023</tableheading></td>
<td>
<img src="images/new.png" alt="[NEW]" width="5%" style="border-style: none">
<!-- An invited <a href="https://www.techbeat.net/talk-info?id=629">talk</a> at <a href="https://www.techbeat.net/">JiangMen TechBeat</a>, about Neural Dubber: Dubbing for Videos According to Scripts -->
Follow our latest work: <font color="red"><strong>Latent Consistency Models: Synthesizing High-Resolution Images With Few-Step Inference.</strong></font> The next generation of generative models after latent diffusion models (LDMs) <strong>!!</strong>
</td>
</tr>
<tr>
<td valign="top" align="center"><tableheading>June. 2023</tableheading></td>
<td>
<!-- An invited <a href="https://www.techbeat.net/talk-info?id=629">talk</a> at <a href="https://www.techbeat.net/">JiangMen TechBeat</a>, about Neural Dubber: Dubbing for Videos According to Scripts -->
Oral Presentation at <a href="https://sightsound.org/"> CVPR 2023 Sight and Sound Workshop </a> about our latest work:
<br><strong>Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models.</strong>
</td>
</tr>
<!-- <tr>
<td valign="top" align="center"><tableheading>Oct. 2021</tableheading></td>
<td>One paper accepted to NeurIPS 2021!
</td>
</tr> -->
</tbody>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td width="100%" valign="middle">
<sectionheading>Publications</sectionheading>
<p style="font-size: 20px"> * indicates equal contribution</p>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20" >
<tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/lcm-lora.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://latent-consistency-models.github.io">
<heading><img src="images/new.png" alt="[NEW]" width="5%" style="border-style: none"> LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
</heading>
</a><br>
<strong>Simian Luo*</strong>, Yiqin Tan*, Suraj Patil†, Daniel Gu†, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao<br>
(*:Leading Authors, †:Core Contributor)<br>
<em>Technical Report   2023.11 <br></em>
</td>
</tr>
<tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/lcm.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://latent-consistency-models.github.io">
<heading><img src="images/new.png" alt="[NEW]" width="5%" style="border-style: none"> Latent Consistency Models: Synthesizing High-Resolution Images With Few-Step Inference
</heading>
</a><br>
<strong>Simian Luo*</strong>, Yiqin Tan*, Longbo Huang†, Jian Li†, Hang Zhao†<br>
<em>Preprint   2023.10 <br></em>
</td>
</tr>
<tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/diff-foley6.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://diff-foley.github.io">
<heading>Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models</heading>
</a><br>
<strong>Simian Luo</strong>, Chuanhao Yan, Chenxu Hu, Hang Zhao<br>
<em>NeurIPS 2023<br></em>
</td>
</tr>
<tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/chatdb.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://chatdatabase.github.io">
<heading>ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory</heading>
</a><br>
Chenxu Hu*, Jie Fu*, Chenzhuang Du, <strong>Simian Luo</strong>, Junbo Zhao, Hang Zhao<br>
<em>LLM @ IJCAI 2023<br></em>
</td>
</tr>
<tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/ImAR2.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://arxiv.org/abs/2303.14700">
<heading>Learning Versatile 3D Shape Generation with Improved AR Models</heading>
</a><br>
<strong>Simian Luo*</strong>, Xuelin Qian*, Yanwei Fu, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue<br>
<em>ICCV 2023<br></em>
</td>
</tr>
<tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/qs-craft2.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://openaccess.thecvf.com/content/ACCV2022/papers/Hong_QS-Craft_Learning_to_Quantize_Scrabble_and_Craft_for__Conditional_ACCV_2022_paper.pdf">
<heading>QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation</heading>
</a><br>
Yuxin Hong, Xuelin Qian, <strong>Simian Luo</strong>, Guoguo Guo, Xiangyang Xue, Yanwei Fu<br>
<em>ACCV 2022<br></em>
</td>
</tr>
<!-- <tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/cvc.jpg' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://tinglok.netlify.app/files/cvc/">
<img src="images/new.png" alt="[NEW]" width="5%" style="border-style: none">
<heading>CVC: Contrastive Learning for Non-parallel Voice Conversion</heading>
</a><br>
Tingle Li*, Yichen Liu*, <strong>Chenxu Hu*</strong>, Hang Zhao<br>
<em>Interspeech 2021<br></em>
<a href="https://arxiv.org/abs/2011.00782">paper</a> |
<a href="https://tinglok.netlify.app/files/cvc/">project</a> |
<a href="https://github.com/Tinglok/CVC">code</a>
</td>
</tr> -->
<!-- <tr>
<td width="40%">
<div class="one">
<div class="two"><img src='images/fs2.png' alt="sym" width="100%"
style="border-style: none"></div>
</div>
</td>
<td valign="top" width="75%">
<p><a href="https://speechresearch.github.io/fastspeech2/">
<img src="images/new.png" alt="[NEW]" width="5%" style="border-style: none">
<heading>FastSpeech 2: Fast and High-Quality End-to-End Text to Speech</heading>
</a><br>
Yi Ren*, <strong>Chenxu Hu*</strong>, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu<br>
<em>ICLR 2021<br></em>
<a href="https://arxiv.org/abs/2006.04558">paper</a> |
<a href="https://speechresearch.github.io/fastspeech2/">project</a> |
<a href="https://github.com/espnet/espnet/tree/master/espnet2/tts/fastspeech2">code</a>
</td>
</tr> -->
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td>
<sectionheading>Presentations & Talks</sectionheading>
</td>
</tr>
</table>
<table class="news-table" width="100%" align="center" border="0" style="text-align: justify">
<colgroup>
<col width="15%">
<col width="85%">
</colgroup>
<tbody>
<!-- <tr>
<td valign="top" align="center"><tableheading>Jan. 2022</tableheading></td>
<td> Invited talk at <a href="https://www.techbeat.net/">JiangMen TechBeat</a>, "Neural Dubber: Dubbing for Videos According to Scripts" (<a href="https://www.techbeat.net/talk-info?id=629">Talk</a>)
</td>
</tr> -->
<tr>
<td valign="top" align="center"><tableheading>June 2023</tableheading></td>
<td> Invited paper talk at <a href="https://sightsound.org/">Sight and Sound Workshop</a>, CVPR 2023, "Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models."
</td>
</tr>
<!-- <tr>
<td valign="top" align="center"><tableheading>May 2021</tableheading></td>
<td> Poster presentation at <a href="https://iclr.cc/Conferences/2021">ICLR 2021</a>, "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
</td>
</tr> -->
</tbody>
</table>
<!-- <table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td>
<sectionheading>Media Coverage</sectionheading>
</td>
</tr>
</table>
<table class="news-table" width="94%" align="center" border="0" style="text-align: justify">
<colgroup>
<col width="25%">
<col width="75%">
</colgroup>
<tbody>
<tr>
<td valign="top" align="left"><tableheading>Slator</tableheading></td>
<td><a href="https://slator.com/neural-dubber-tiktok-company-bytedance-explores-automated-dubbing/">
Neural Dubber: TikTok Parent Company ByteDance Explores Automated Dubbing</a>
</td>
</tr>
<tr>
<td valign="top" align="left"><tableheading>Jiqizhixin(机器之心) Blog</tableheading></td>
<td><a href="https://mp.weixin.qq.com/s/I4BNwN25JOJoTs8stzDqUg">
A Chinese news about Neural Dubber</a>
</td>
</tr>
<tr>
<td valign="top" align="left"><tableheading>Microsoft Research Blog</tableheading></td>
<td><a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/articles/fastspeech-2-fast-and-high-quality-end-to-end-text-to-speech/">
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech</a>
</td>
</tr>
<tr>
<td valign="top" align="left"><tableheading>Microsoft Azure AI Blog</tableheading></td>
<td><a href="https://techcommunity.microsoft.com/t5/azure-ai-blog/neural-text-to-speech-extends-support-to-15-more-languages-with/ba-p/1505911?from=timeline">
Neural Text to Speech extends support to 15 more languages with state-of-the-art AI quality</a>
</td>
</tr>
</tbody>
</table> -->
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody>
<tr>
<td>
<sectionheading>Affiliations</sectionheading>
</td>
</tr>
</tbody>
</table>
<table align="center">
<tbody>
<tr>
<td width="28%" align="center">
<a href="https://www.fudan.edu.cn/en/" target="_blank">
<img style="width:120px" src="images/fdu.png"></a>   
</td>
<!-- <td width="28%" align="center">
<a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" target="_blank">
<img style="width:120px" src="images/msra.png"></a>   
</td> -->
<td width="28%" align="center">
<a href="https://www.tsinghua.edu.cn/en/" target="_blank">
<img style="width:120px" src="images/thu.png"></a>   
</td>
<!-- <td width="28%" align="center">
<a href="https://www.bytedance.com/en/" target="_blank">
<img style="width:120px" src="images/bytedance.png"></a>   
</td> -->
</tr>
<tr>
<td width="28%" align="center"><font size="3">FDU<br>2018-2022</font></td>
<!-- <td width="28%" align="center"><font size="3">MSRA<br>2019-2020</font></td> -->
<td width="28%" align="center"><font size="3">THU<br>2022 - Present</font></td>
<!-- <td width="28%" align="center"><font size="3">ByteDance<br>2021 - present</font></td> -->
</tr>
</tbody>
</table>
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<p align="right"><font size="2">
Template credits: <a href="https://changan.io/">Changan Chen</a>
</font></p></td>
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</table> -->
</td>
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