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Susan Liang
Hi, there! I am a third-year Ph.D. student in the Computer Science Department at the University of Rochester. My advisor is Prof. Chenliang Xu. Before joining Prof. Xu's lab, I got my bachelor degree of Computer Science at the University of Chinese Academy of Sciences. I was lucky to study and research under the supervision of Prof. Shiguang Shan. I joined Prof. Shan's group in 2020 and had worked there for one and a half years, enjoying an exciting research experience. I also worked closely with Prof. Ming-Hsuan Yang.
My research interests lie in Computer Vision and Deep Learning, especially audio-visual learning, implicit neural fields, multi-modal learning, and trustworthy AI.
The explanation for my English name: my Chinese name is 梁苏叁(Liang, Su, San), so Susan is just the *pinyin* of my Chinese name. Commonly, people think I am female when they see my English Name. :D
Email /
CV /
Github /
Google Scholar
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Publication
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Scaling Concept with Text-Guided Diffusion Models
Chao Huang, Susan Liang, Yunlong Tang, Yapeng Tian, Anurag Kumar, Chenliang Xu.
arXiv preprint.
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Language-Guided Joint Audio-Visual Editing Via One-Shot Adaptation
Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu.
17th Asian Conference on Computer Vision, Dec. 2024.
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High-Quality Visually-Guided Sound Separation from Diverse Categories
Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu.
17th Asian Conference on Computer Vision, Dec. 2024.
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Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu*, Zeliang Zhang*, Susan Liang, Zhuo Liu, Chenliang Xu.
Conference on Computer Vision and Pattern Recognition, Jun. 2024.
∗ indicates equal contribution.
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Random Smooth-based Certified Defense against Text Adversarial Attack
Zeliang Zhang, Wei Yao, Susan Liang, Chenliang Xu.
Conference of the European Chapter of the Association for Computational Linguistics, Mar. 2024.
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Video Understanding with Large Language Models: A Survey
Yunlong Tang*, Jing Bi*, Siting Xu*, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu.
∗ indicates equal contribution.
arXiv preprint.
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AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu.
Conference on Neural Information Processing Systems, Dec. 2023.
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Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields
Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu.
International Conference on Computer Vision Workshops, Oct. 2023.
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UniCon: Unified Context Network for Robust Active Speaker Detection
Yuanhang Zhang∗, Susan Liang∗, Shuang Yang, Xiao Liu, Zhongqin Wu, Shiguang Shan, Xilin Chen.
ACM International Conference on Multimedia, Oct. 2021.
∗ indicates equal contribution.
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Education
University of Rochester, NY, USA
Ph.D. Sept. 2022 to Future
Computer Science
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University of Chinese Academy of Sciences, Beijing, China
B.Eng. Sept. 2018 to Jul. 2022
Computer Science
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Research Experiences
Reality Labs Research, Meta, PA, USA
Reserach Scientist Intern • May 2024 to Aug. 2024
Advisors: Dr. Dejan Markovic and Dr. Alexander Richard
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Vision and Learning Lab, University of California - Merced, CA, USA
Reserach Intern • Sept. 2021 to Mar. 2022
Advisors: Prof. Ming-Hsuan Yang and Dr. Taihong Xiao
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Institute for AI Industry Research, Tsinghua University, Beijing, China
Reserach Intern • Jun. 2021 to Aug. 2021
Advisors: Dr. Yizhi Wang and Dr. Hao Xu
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Visual Information Processing and Learning Group, Chinese Academy of Sciences, Beijing, China
Reserach Assistant • Feb. 2020 to Apr. 2021
Advisors: Prof. Shiguang Shan and Dr. Shuang Yang
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