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publications.html
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<title>Publications</title>
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<div class="menu-item"><a href="teaching.html">Teaching</a></div>
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<h1>Publications and Reports</h1>
<div id="subtitle"><b>Yatong Bai</b>, University of California, Berkeley</div>
</div>
<!-- <section class="section">
<h2>Preprint Papers</h2>
<ol> </ol>
</section> -->
<section class="section">
<h2>Journal Papers</h2>
<ol>
<li><p>
<a href="https://arxiv.org/abs/2402.02263" target=“blank”>
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers</a>,
<br />Transactions on Machine Learning Research (TMLR), 2024.<br />
<b>Yatong Bai</b>, Mo Zhou, Vishal M. Patel, and Somayeh Sojoudi.<br />
<small>Project code available at <a href="https://github.com/Bai-YT/MixedNUTS"
target=“blank”>github.com/Bai-YT/MixedNUTS</a>.</small><br />
<small>Results and model checkpoints verified and listed on <a href="https://robustbench.github.io"
target=“blank”>RobustBench</a>.</small>
</p></li>
<!-- (2402.02263) -->
<li><p>
<a href="https://arxiv.org/abs/2301.12554" target=“blank”>
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing</a>,<br />
in SIAM Journal on Mathematics of Data Science (SIMODS) 6 (3), 2024.<br />
<b>Yatong Bai</b>, Brendon G. Anderson, Aerin Kim, and Somayeh Sojoudi.<br />
<small>Project code available at <a href="https://github.com/Bai-YT/AdaptiveSmoothing"
target=“blank”>github.com/Bai-YT/AdaptiveSmoothing</a>.</small><br />
<small>Results and model checkpoints verified and listed on <a href="https://robustbench.github.io"
target=“blank”>RobustBench</a>.</small>
</p></li>
<!-- (2301.12554) -->
<li><p>
<a href="https://arxiv.org/abs/2201.01965" target=“blank”>
Efficient Global Optimization of Two-Layer ReLU Networks:
Adversarial Training and Quadratic-time Algorithms</a>,<br />
in SIAM Journal on Mathematics of Data Science (SIMODS) 5 (2), 446-474, 2023.<br />
<b>Yatong Bai</b>, Tanmay Gautam, and Somayeh Sojoudi.<br />
<small>2021 INFORMS Data Mining Best Student Paper Award Runner-Up Prize.</small>
</p></li>
<!-- (2201.01965) -->
</ol>
</section>
<section class="section">
<h2>Conference Papers</h2>
<ol>
<li><p>
<a href="https://arxiv.org/abs/2406.03589" target=“blank”>
Ranking Manipulation for Conversational Search Engines</a>,
<br />in Conference on Empirical Methods in Natural Language Processing (EMNLP <b>Oral</b>), 2024.<br />
Samuel Pfrommer*, <b>Yatong Bai*</b>, Tanmay Gautam, and Somayeh Sojoudi. <small>*Equal contribution.</small><br />
<small>Dataset and collection pipeline available at <a ref="https://huggingface.co/datasets/Bai-YT/RAGDOLL"
target=“blank”>huggingface.co/datasets/Bai-YT/RAGDOLL</a>.</small><br />
<small>Experiment code available at <a href="https://github.com/spfrommer/cse-ranking-manipulation"
target=“blank”>github.com/spfrommer/cse-ranking-manipulation</a>.</small><br />
<small>Poster at <a href="files/publications/RAGDOLL_Poster.pdf"
target=“blank”>bai-yt.github.io/files/publications/RAGDOLL_Poster.pdf</a>.</small>
</p></li>
<!-- (2406.03589) -->
<li><p>
<a href="https://arxiv.org/abs/2309.10740" target=“blank”>
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation</a>,
<br />in INTERSPEECH, 2024<br />
<b>Yatong Bai</b>, Trung Dang, Dung Tran, Kazuhito Koishida, and Somayeh Sojoudi.<br />
<small><b>Live demo at <a href="https://huggingface.co/spaces/Bai-YT/ConsistencyTTA"
target=“blank”>huggingface.co/spaces/Bai-YT/ConsistencyTTA</a>. Try it out!</b></small><br />
<small>Project website <a href="https://consistency-tta.github.io"
target=“blank”>consistency-tta.github.io</a>.</small><br />
<small>Poster at <a href="https://consistency-tta.github.io/poster.pdf"
target=“blank”>consistency-tta.github.io/poster.pdf</a>.</small>
<small>Project code available at <a href="https://github.com/Bai-YT/ConsistencyTTA"
target=“blank”>github.com/Bai-YT/ConsistencyTTA</a>.</small><br />
<small>Model checkpoints available at <a href="https://huggingface.co/Bai-YT/ConsistencyTTA"
target=“blank”>huggingface.co/Bai-YT/ConsistencyTTA</a>.</small><br />
<small>Result presented on <a href="https://paperswithcode.com/sota/audio-generation-on-audiocaps"
target=“blank”>PapersWithCode</a>.</small><br />
<small>Work done during internship at Microsoft (Applied Science Group).</small>
</p></li>
<!-- (2309.10740) -->
<li><p>
<a href="https://arxiv.org/abs/2307.15980" target=“blank”>
Initial State Interventions for Deconfounded Imitation Learning</a>,<br />
in the IEEE Conference on Decision and Control (CDC), 2023.<br />
Samuel Pfrommer, <b>Yatong Bai</b>, Hyunin Lee, Somayeh Sojoudi.
</p></li>
<!-- (2307.15980) -->
<li><p>
<a href="https://arxiv.org/abs/2311.15165" target=“blank”>
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off</a>,<br />
in Annual Learning for Dynamics & Control Conference (L4DC), 2024.<br />
<b>Yatong Bai</b>, Brendon G. Anderson, and Somayeh Sojoudi.
</p></li>
<!-- (2311.15165) -->
<li><p>
<a href="https://people.eecs.berkeley.edu/~sojoudi/ACC_YA_22.pdf" target=“blank”>
Practical Convex Formulation of Robust One-Hidden-Layer Neural Network Training</a>,<br />
in American Control Conference (ACC), 2022.<br />
<b>Yatong Bai</b>, Tanmay Gautam, Yu Gai, and Somayeh Sojoudi.
</p></li>
<!-- (2105.12237) -->
</ol>
</section>
<section class="section">
<h2>Technical Reports</h2>
<ol>
<li><p>
<a href="https://arxiv.org/abs/2401.04575" target=“blank”>
Let's Go Shopping (LGS) — Web-Scale Image-Text Dataset for Visual Concept Understanding</a>,
<br /> ArXiv preprint arXiv:2401.04575, 2024.<br />
<b>Yatong Bai</b>, Utsav Garg, Erhan Bas, Isidora Filipovic, Apaar Shanker,
Haoming Zhang, Samyak Parajuli, Amelia N. Chu, Eugenia D Fomitcheva,
Elliot Branson, Aerin Kim, Somayeh Sojoudi, and Kyunghyun Cho.<br />
<small>Work done during internship at Scale AI.</small>
</p></li>
<li><p>
<a href="files/publications/RL_Report.pdf" target=“blank”>
Imitation Human Behavior Model for Interactive Autonomous Driving Simulation</a>.<br />
Chenran Li, Akio Kodaira, <b>Yatong Bai</b>.<br />
<small>Course project for Fall 2021 CS 285 — Deep Reinforcement Learning (UC Berkeley).</small>
</p></li>
<li><p>
<a href="files/publications/CS4641_Report.pdf" target=“blank”>
Instrument Identification for Real-world Music Pieces</a>.<br />
<b>Yatong Bai</b>, Zhubo Zhou, Tianyi Zuo, Zhaoran Ma, Junzhe Ruan.<br />
<small>Course project for Summer 2020 CS 4641 — Machine Learning (Georgia Tech).</small><br />
<small>Project code available at <a href="https://github.com/Bai-YT/CS4641-Music-Instrument-Recognition"
target=“blank”>github.com/Bai-YT/CS4641-Music-Instrument-Recognition</a>.</small>
</p></li>
<li><p>
<a href="files/publications/Cochlear_Report.pdf" target=“blank”>
Design and Implementation of a Data-Display MATLAB GUI for Cochlear Model Simulator</a>.<br />
<b>Yatong Bai</b>, 2018.
</p></li>
</ol>
</section>
</td>
</table>
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