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<!DOCTYPE html>
<html lang="en">
<head>
<script async
src="https://www.googletagmanager.com/gtag/js?id=UA-112232484-1"></script>
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<title>Welcom to Sihao (William) Wu's Homepage</title>
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<div class="col-lg-6 col-lg-offset-0" align="left">
<h1 color="white">Sihao (William) Wu</h2>
<h1 color="white">吴思豪</h2>
</div>
</div>
</div> <!-- /container -->
</div>
<div class="navbar navbar-default" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse"
data-target=".navbar-collapse">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
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-->
</div>
<div class="navbar-collapse collapse">
<ul class="nav navbar-nav navbar-left">
<li class="active"><a href="#about">Home</a></li>
<li><a href="#publication">Publications</a></li>
<li><a href="#Blogs">Bolgs</a></li>
<li><a href="#services">Services</a></li>
<li><a href="#hobbies">Hobbies</a></li>
</ul>
</div><!--/.nav-collapse -->
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<div class="container" style="font-family:metropolis">
<div class="col-md-3" , style="padding-right: 40px">
<img class="img-responsive img-rounded" src="images/ProfilePicture.jpg" alt=""
style="width: 240px; border:1px solid black"><br>
</div>
<div id="about" class="col-md-9" style="text-align:justify">
<p>I am a Ph.D. student in <a href="https://cgi.csc.liv.ac.uk/~acps/home/">Trustworthy Autonomous Cyber-Physical Systems (ACPS) Lab</a> at <a href="https://www.liverpool.ac.uk/">University of Liverpool</a> with <a
href="https://cgi.csc.liv.ac.uk/~xiaowei/">Prof. Xiaowei Huang</a> and <a
href="https://www.xzhao.me/home">Dr. Xingyu Zhao</a>.
Prior to my Ph.D. program, I was working on vehicle transmission control
supervised by <a
href="http://shi.buaa.edu.cn/xuxiangyang/en/index.htm"> Prof. Xiangyang Xu</a> and <a
href="http://shi.buaa.edu.cn/dpgoal/en/index.htm"> Assoc. Prof. Peng Dong</a>
at <a
href="http://www.buaa.edu.cn/"> Beihang University</a>. </p>
<p>My research interests include <b>Safe Reinforcement Learning</b>, <b>LLM-based Autonomous Driving</b>, and <b>Sequential Decision Making</b>. I am eager
to deploy <b>Robust and Generalised</b> algorithms to real robotics systems, like autonomous vehicles. The reference literature can be found in my
<a href="https://github.com/WilliamWu96/PhD-bibliography">Research Bibliography</a>.
</p>
<br />
<br />
<p><b>Contact: </b></p>
<p>Email: sihao.wu[at]liverpool.ac.uk</p>
<p>Office: Digital Innovation Facility, G018, Liverpool, UK</p>
<p><b>Profiles: </b></p>
<p> <a href="https://github.com/WilliamWu96">Github</a>, <a href="https://scholar.google.com/citations?user=30KcfSMAAAAJ&hl=en">GoogleScholar</a>, <a href="https://www.linkedin.com/in/sihao-wu/">Linkedin</a></p>
<br>
</div>
<!-- <div class="gallery">
<center>
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</center>
</tb>
</tr>
</table>
<br>
</div>
<div id="publication" class="col-md-10" style="text-align:justify">
<h2>Publications</h2>
<h3>Conferences</h3>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/robust_distil.png" class="image"><img src="images/robust_distil.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving</b></div>
<div>
<span> <b>Sihao Wu</b></span>
<span> Jiaxu Liu</span>,
<span> Xiangyu Yin</span>,
<span> Guangliang Cheng</span>,
<span> Xingyu Zhao</span>,
<span> Meng Fang</span>,
<span> Xinping Yi</span>,
<span> Xiaowei Huang</span>
</div>
<div>
<span class="tag">Preprint, 2024</a></span>
<div>
<span class="tag"><a href="https://arxiv.org/abs/2410.12568">Paper</a></span>
</div>
<span class="des">
This paper introduces RAPID to leverage the knowledge from LLMs to train an efficient and robust RL agent.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/agem.png" class="image"><img src="images/agem.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory</b></div>
<div>
<span> <b>Sihao Wu</b></span>,
<span> Xingyu Zhao</span>,
<span> Xiaowei Huang</span>
</div>
<div>
<span class="tag">31st International Conference on Neural Information Processing <b>(ICONIP2024)</b>, 2024</a></span>
<div>
<!-- <span class="tag"><a href="https://arxiv.org/pdf/2312.07392">Paper</a></span>, <span class="tag"><a href=" https://github.com/TrustAI/ReRoGCRL">Github</a></span> -->
</div>
<span class="des">
Adversarial Representation Training for Goal Conditioned Reinforcement Learning.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/redteaming_sentinel.png" class="image"><img src="images/redteaming_sentinel.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming</b></div>
<div>
<span> Jiaxu Liu</span>,
<span> Xiangyu Yin</span>,
<span> <b>Sihao Wu</b></span>,
<span> Jianhong Wang</span>,
<span> Meng Fang</span>,
<span> Xinping Yi</span>,
<span> Xiaowei Huang</span>
</div>
<div>
<!-- <span class="tag">31st International Conference on Neural Information Processing <b>(ICONIP2024)</b>, 2024</a></span> -->
<div>
<span class="tag"><a href="https://arxiv.org/abs/2405.12604">Paper</a></span>
</div>
<span class="des">
Lightweight and General Protection layer against Red-Teaming attack for LLM.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/survey_safe_llm.png" class="image"><img src="images/survey_safe_llm.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>A survey of safety and trustworthiness of large language models through the lens of verification and validation</b></div>
<div>
<span> Xiaowei Huang</span>,
<span> Wenjie Ruan</span>,
<span> Wei Huang</span>,
<span> Gaojie Jin</span>,
<span> Yi Dong</span>,
<span> Changshun Wu</span>,
<span> Saddek Bensalem</span>,
<span> Ronghui Mu</span>,
<span> Yi Qi</span>,
<span> Xingyu Zhao</span>,
<span> Kaiwen Cai</span>,
<span> Yanghao Zhang</span>,
<span> Kaiwen Cai</span>,
<span> <b>Sihao Wu</b></span>,
<span> Peipei Xu</span>,
<span> Dengyu Wu</span>,
<span> Andre Freitas</span>,
<span> Mustafa A. Mustafa</span>
</div>
<div>
<span class="tag">Artificial Intelligence Review, 57(7), 175. 2024</a></span>
<div>
<span class="tag"><a href="https://link.springer.com/article/10.1007/s10462-024-10824-0">Paper</a></span>
</div>
<span class="des">
Examining vulnerabilities and exploring how Verification and Validation techniques can be adapted to ensure LLM alignment with safety requirements.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/Hyperbolic_PDE.png" class="image"><img src="images/Hyperbolic_PDE.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE</b></div>
<div>
<span> Jiaxu Liu</span>,
<span> Xinping Yi</span>,
<span> <b>Sihao Wu</b></span>,
<span> Xiangyu Yin</span>,
<span> Tianle Zhang</span>,
<span> Xiaowei Huang</span>,
<span> Jin Shi</span>
</div>
<div>
<span class="tag">2024 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases <b>(ECML PKDD)</b>, 2024</a></span>
<div>
<span class="tag"><a href="https://arxiv.org/pdf/2406.01282">Paper</a></span>, <span class="tag"><a href="https://github.com/ljxw88/HyperbolicGDE">Github</a></span>
</div>
<span class="des">
This paper reformulates Hyperbolic Graph Neural Networks as PDEs with node-wise attention, improving performance and scalability.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/ReGCRL.png" class="image"><img src="images/ReGCRL.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>ReRoGCRL: Representation-based robustness in goal-conditioned reinforcement learning</b></div>
<div>
<span> Xiangyu Yin</span>,
<span> <b>Sihao Wu</b></span>,
<span> Jiaxu Liu</span>,
<span> Meng Fang</span>,
<span> Xingyu Zhao</span>,
<span> Xiaowei Huang</span>,
<span> Wenjie Ruan</span>
</div>
<div>
<span class="tag">Proceedings of the AAAI Conference on Artificial Intelligence <b>(AAAI)</b>, 2023</a></span>
<div>
<span class="tag"><a href="https://arxiv.org/pdf/2312.07392">Paper</a></span>, <span class="tag"><a href=" https://github.com/TrustAI/ReRoGCRL">Github</a></span>
</div>
<span class="des">
Adversarial Representation Training for Goal Conditioned Reinforcement Learning.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/AERO.png" class="image"><img src="images/AERO.png" width="90%" alt=""></a>
</td>
<td width="375%">
<div><b>Design and Simulation of an Autonomous Racecar: Perception, SLAM, Planning and Control</b></div>
<div>
<span> <b>Sihao Wu</b></span>,
<span> Zhengwei Yang</span>,
<span> Xiaopo Xie</span>,
<span> Yilong Wang</span>,
<span> Xinliang Wang</span>,
<span> Qi Wang</span>,
<span> Bofan Wu</span>,
<span> Hongjun Zhang</span>,
<span> Hanning Zhang</span>,
<span> Haochun Ma</span>,
<span> Xuanliang Zhang</span>,
<span> Haiying Lin</span>
</div>
<div>
<span class="tag">IEEE International Conference on Autonomous Systems <b>(ICAS)</b>, 2021</a></span>
<div>
<span class="tag"><a href="https://ieeexplore.ieee.org/document/9551125">Paper</a></span>
</div>
<span class="des">
The hardware and software concept of the 2020-rebuilt AERO Driverless Racing Team.
</span>
</div>
</td>
</tr>
</table>
</div>
<br>
<h3>Journals</h3>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/CoordinatedControl.png" class="image"><img src="images/CoordinatedControl.png" width="90%" alt=""></a>
</td>
<td width="80%">
<div><b>Coordinated clutch slip control for the engine start of vehicles with P2-hybrid automatic transmissions</b></div>
<div>
<span>Peng Dong</span>,
<span><b>Sihao Wu</b></span>,
<span>Wei Guo</span>,
<span>Xiangyang Xu</span>,
<span>Shuhan Wang</span>,
<span>Yahui Liu</span>
</div>
<div>
<div class="tag">Mechanism and Machine Theory, vol.153, p.103899, 2020 <b>(MMT)</b></a></div>
<div>
<span class="tag"><a href="https://www.sciencedirect.com/science/article/abs/pii/S0094114X20301208?via%3Dihub">Paper</a></span>
</div>
<span class="des">Coordinated clutch control strategy for P2-hybrid transmissions.</span>
</div>
</td>
</tr>
</table>
</div>
<br>
</div>
<div id="Blogs" class="col-md-10" style="text-align:justify">
<h2>Blogs!</h2>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/efficient_generalized_RL.png" class="image"><img src="images/efficient_generalized_RL.png" width="75%" alt=""></a>
</td>
<td width="80%">
<div><b>Efficient and Generalized Deep Reinforcement Learning</b></div>
<div>
<span>Sihao Wu</span>
</div>
<div>
<div>
<span class="tag"><a href="https://docs.google.com/presentation/d/11OorENW-h4ReU2XvTI5PBuZJenSbRanO/edit?usp=sharing&ouid=114559308498901674671&rtpof=true&sd=true">Link</a></span>
</div>
<span class="des">Slightly change of environment will extremely impact RL agent performance, causing generalization problem.</span>
</div>
</td>
</tr>
</table>
</div>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/data_augmentation.png" class="image"><img src="images/data_augmentation.png" width="75%" alt=""></a>
</td>
<td width="80%">
<div><b>Data Augmentation for Deep Reinforcement Learning</b></div>
<div>
<span>Sihao Wu</span>
</div>
<div>
<div>
<span class="tag"><a href="https://docs.google.com/presentation/d/12bOxBHee4yDakpPO813geWgeEYdBmihM/edit?usp=sharing&ouid=114559308498901674671&rtpof=true&sd=true">Link</a></span>
</div>
<span class="des">Data augmentation can be used to enforce the learning of an invariant representations.</span>
</div>
</td>
</tr>
</table>
</div>
<div class="pub">
<table width="375%" border="0">
<tr>
<td width="30%" valign="top">
<a href="images/dif_opening_day.png" class="image"><img src="images/dif_opening_day.png" width="75%" alt=""></a>
</td>
<td width="80%">
<div><b>Trustworthy ACPSLab introduction at DIF opening day</b></div>
<div>
<span>Sihao Wu, Wei Huang, Yi Qi, Yi Dong</span>
</div>
<div>
<div>
<span class="tag"><a href="https://docs.google.com/presentation/d/1dUhPaRHN3cju9W0thTa_FgGi33Px1s0h/edit?usp=sharing&ouid=114559308498901674671&rtpof=true&sd=true">Link</a></span>
</div>
<span class="des">Trustworthy ACPSLab is focusing on explaination, robustness, generalization, verification, validation and safety assurance for AI-based robotics.</span>
</div>
</td>
</tr>
</table>
</div>
<br>
</div>
<div id="services" class="col-md-10" style="text-align:justify">
<h2>Services</h2>
<li><strong> Founder of <a href="https://zeroai.vercel.app/en"> ZEROAI Start-Up</a>, from Nov. 2023.
<li><strong> Research Assistant in <a href="http://english.is.cas.cn/au/"> Institute of Software, Chinese Academy of Sciences</a>, China, 2024.
<li><strong> Demonstrator of <a href="https://tulip.liv.ac.uk/mods/student/COMP202_202122.htm"> COMP202: Complexity of Algorithms</a>, led by <a href="https://www.csc.liv.ac.uk/~piotr/"> Professor Piotr Krysta</a>, the University of Liverpool, 2022/2023
<li><strong> Demonstrator of <a href="https://cgi.csc.liv.ac.uk/~xiaowei/ai.html"> COMP219: Advanced Artificial Intelligence</a>, led by <a href="https://cgi.csc.liv.ac.uk/~xiaowei/"> Professor Xiaowei Huang</a>, the University of Liverpool, 2022/2023
<li><strong> Supervised students about <a href="https://github.com/WilliamWu96/carla_rl"> RL applied at Carla</a> on the undergraduate summer internship, 2022
<li><strong> Demonstrator of <a href="https://outreach.csc.liv.ac.uk/"> Robotics Outreach Summer School</a>, led by <a href="https://www.wild-inter.net/"> Dr. Sebastian Wild</a>, the University of Liverpool, 2022
<li><strong> Membership of Deep RL Reading Group, led by <a href="https://www.liverpool.ac.uk/computer-science/staff/joseph-jerome/"> Dr. Joseph Jerome </a>, the University of Liverpool, 2022
<li><strong> Membership of<a href="https://cgi.csc.liv.ac.uk/~acps/readinggroup/"> AI Reading Group </a> at Trustworthy ACPSLab, 2021 - 2022
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</div>
<div id="hobbies" class="col-md-10" style="text-align:justify">
<h2>Hobbies</h2>
<li><strong>This is my <a href="https://www.flickr.com/photos/195459620@N05/albums">Gallery Link</a>, containing my life experience in <img src="images/China.png" alt="China" width="30" height="30">
<img src="images/UK.png" alt="UK" width="30" height="30">
<img src="images/Russia.png" alt="Russia" width="30" height="30">
<img src="images/Germany.png" alt="Germany" width="30" height="30">
<img src="images/hongkong.png" alt="hongkong" width="30" height="30">
<img src="images/switzerland.png" alt="switzerland" width="30" height="30">
<img src="images/france.png" alt="france" width="30" height="30">
<img src="images/wales.png" alt="wales" width="30" height="30">
<img src="images/scotland.png" alt="scotland" width="30" height="30">
<img src="images/nz.png" alt="nz" width="30" height="30">
</li>
<li>Fitness, Swimming, Hiking, and ...</li>
<br>
<br>
<br>
<br>
</div>
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