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Hi, I am Zihui Xue (薛子慧), a Ph.D. student at UT Austin, advised by Prof. Kristen Grauman. I am also a visiting researcher at Facebook AI Research. Previously, I'm fortunate to work with Prof. Radu Marculescu on efficient deep learning and Prof. Hang Zhao on multimodal learning. I obtained my bachelor's degree from Fudan University in 2020, where I worked with Prof. Yuedong Xu . I'm broadly interested in multimodal learning (images, audio, video, language, etc.). My recent research lies in egocentric video learning. Email | CV | Google Scholar | Github |
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| (a) Multimodal Learning and Self-supervised Learning |
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Zihui Xue*, Zhengqi Gao* Sucheng Ren*, Hang Zhao arXiv preprint, 2022 [paper] When is multimodal knowledge distillation helpful? |
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Zihui Xue, Radu Marculescu arXiv preprint, 2022 [paper] Adaptively fuse multimodal data and generate data-dependent forward paths during inference time. |
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Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang Conference on Neural Information Processing Systems (NeurIPS), 2021 [paper] Can multimodal learning provably perform better than unimodal? |
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Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao International Conference on Computer Vision (ICCV), 2021 [paper] [website] A knowledge distillation-based framework to effectively utilize multimodal data without requiring labels. |
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Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao International Conference on Computer Vision (ICCV), 2021 (Oral, Acceptance Rate 3.0%) [paper] [website] Reveal the connection between model collapse and feature correlations! |
| (b) Efficient Deep Learning |
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Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu arXiv preprint, 2022 [paper] An efficient GNN training framework that accounts for resource constraints. |
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Yuedong Yang, Zihui Xue, Radu Marculescu Conference on Robot Learning (CoRL), 2021 [paper] Anytime Depth Estimation with energy-saving 2D LiDARs and monocular cameras. |
| (c) Network Science |
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Simiao Jiao, Zihui Xue, Xiaowei Chen, Yuedong Xu ACM Transactions on the Web (TWEB), 2021 [paper] A random walk approach to estimate the graphlet concentration in multiplex networks. |