-
Notifications
You must be signed in to change notification settings - Fork 11
Expand file tree
/
Copy pathindex.html
More file actions
119 lines (99 loc) · 6.29 KB
/
index.html
File metadata and controls
119 lines (99 loc) · 6.29 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Bodun Hu's personal website.">
<link rel="canonical" href="https://www.bodunhu.com/">
<title>Bodun Hu</title>
<style>
body {
line-height: 1.5;
max-width: 40.625rem;
margin: 3.125rem auto;
padding: 1.25rem;
}
nav a {
margin-right: 0.625rem;
}
.name-link {
color: black;
text-decoration: none;
font-size: 1.5rem;
font-weight: bold;
}
details>summary {
list-style: none;
}
</style>
</head>
<body>
<header>
<nav>
<a href="https://www.bodunhu.com" class="name-link">Bodun Hu</a>
| <a href="https://www.bodunhu.com/blog">Blog</a>
<a href="/files/cv.pdf">CV</a>
<a href="https://x.com/bodunhu">X</a>
<a href="https://github.com/BDHU">GitHub</a>
<a href="https://scholar.google.com/citations?user=zR6afi8AAAAJ&hl=en">Publications</a>
</nav>
</header>
<main>
<p>I am a PhD student at <a href="https://www.utexas.edu/">UT Austin</a>,
majoring in Computer Science. I'm fortunate to be advised by <a href="https://www.cs.utexas.edu/~akella/">Aditya Akella</a>
at <a href="https://utns.cs.utexas.edu/">UTNS</a> lab.</p>
<p>My research lies at the intersection of machine learning, operating systems, and network. I'm passionate about building high‑performance systems for ML.</p>
<p>I earned both my M.S. and B.S. in Computer Science from UT Austin. Before starting my PhD, I worked
with <a href="https://www.cs.utexas.edu/~rossbach/">Christopher Rossbach</a> in the
SCEA lab, focusing on GPU benchmarking and developing methods to enable OS kernel access to accelerators.</p>
<p>I've also been very fortunate to intern with <a href="https://theojepsen.dk/">Theo Jepsen</a> and
<a href="https://www.linkedin.com/in/georgiosnikolaidis">Georgios Nikolaidis</a> at Intel.
I also interned with Meta's <a href="https://aisystemcodesign.github.io/">AI and Systems Co-design team</a> developing efficient communication collectives for LLM training under the supervision of <a href="https://kingchc.gitlab.io/">Ching-Hsiang Chu</a>.</p>
<p>Contact: <em>bodunhu at utexas.edu</em><br>
PGP key: <a href="https://keys.openpgp.org/vks/v1/by-fingerprint/A1B9B452CA88126F31C3D3E276F092F8CD673517">76F092F8CD673517</a></p>
<p>Publications:</p>
<ul>
<li><a href="https://arxiv.org/pdf/2603.02376">CUCo: An Agentic Framework for Compute and Communication Co-design</a>, Preprint<br>
<em><strong>Bodun Hu</strong>*, Yoga Sri Varshan V*, Saurabh Agarwal, Aditya Akella</em>
</li>
<li><a href="https://arxiv.org/pdf/2602.00085">CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models</a>, Preprint<br>
<em>Shuozhe Li, Jincheng Cao, <strong>Bodun Hu</strong>, Aryan Mokhtari, Leqi Liu, Amy Zhang</em>
</li>
<li><a href="https://arxiv.org/abs/2412.16434">SYMPHONY: Improving Memory Management for LLM Inference Workloads</a>, NSDI 2026<br>
<em>Saurabh Agarwal, <strong>Bodun Hu</strong>, Anyong Mao, Aditya Akella, Shivaram Venkataraman</em>
</li>
<li><a href="https://arxiv.org/pdf/2505.13444">ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models</a>, NeurIPS 2025<br>
<em>Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, <strong>Bodun Hu</strong>, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett</em>
</li>
<li><a href="https://arxiv.org/pdf/2505.07833">Patchwork: A Unified Framework for RAG Serving</a>, ArXiv<br>
<em><strong>Bodun Hu</strong>*, Luis Pabon*, Saurabh Agarwawl, Aditya Akella</em>
</li>
<li><a href="https://aclanthology.org/2025.acl-long.1305.pdf">StitchLLM: Serving LLMs, One Block at a Time</a>, ACL 2025<br>
<em><strong>Bodun Hu</strong>, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella</em>
</li>
<li><a href="https://aclanthology.org/2024.emnlp-main.501.pdf">MOSEL: Inference Serving Using Dynamic Modality Selection</a>, EMNLP 2024<br>
<em><strong>Bodun Hu</strong>, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella</em>
</li>
<li><a href="https://aclanthology.org/2024.emnlp-main.941.pdf">FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping</a>, EMNLP 2024<br>
<em>Ajay Jaiswal, <strong>Bodun Hu</strong>, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Aeklla</em>
</li>
<li><a href="https://dl.acm.org/doi/pdf/10.1145/3575693.3575697">Towards a Machine Learning-Assisted Kernel with LAKE</a>, ASPLOS 2023<br>
<em>Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, <strong>Bodun Hu</strong>, Aditya Akella, Christopher J. Rossbach</em>
</li>
<li><a href="https://ieeexplore.ieee.org/document/9238617">Altis: Modernizing GPGPU Benchmarks</a>, ISPASS 2020<br>
<em><strong>Bodun Hu</strong>, Christopher J. Rossbach</em>
</ul>
<p>Teaching:</p>
<ul>
<li><a href="https://utnslab.github.io/fa25-adv-topics-in-sys-genai/">Fall 2025: CS 395T: Advanced Topics in Systems and GenAI</a>
</li>
<li><a href="https://www.cs.utexas.edu/~akella/CS378/F24/index.html">Fall 2024: CS 378 System For Machine Learning and Big Data</a>
</li>
<li><a href="https://www.cs.utexas.edu/~simon/378/">Spring 2020: CS 378 Multicore Operating System Implementation</a>
</li>
</ul>
<p>Service:</p>
<p>Reviewers for ACL 2025, ACL 2026, ACL-SRW 2025, ICLR 2026, CAIS 2026, NeurIPS 2026</p>
</main>
</body>
</html>