I am a Ph.D. student working with Prof. Alexander Schwing at Department of Computer Science, University of Illinois Urbana–Champaign (UIUC).
Earlier, I received B.S. degree in Statistics from University of Science and Technology of China (USTC).
I am passionate about computer vision, generative models, and machine learning, with a broader goal of unifying understanding and generation within vision and beyond.
During my graduate study, I interned at Apple, Meta Reality Labs, and Google, conducting research related to above topics.
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IllumiNeRF: 3D Relighting Without Inverse Rendering.
Neural Information Processing Systems (NeurIPS), 2024
Media:
Radiance Fields
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[10] |
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GoMAvatar: Efficient Animatable Human Modeling From Monocular Video Using Gaussians-on-Mesh.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 |
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NeRFDeformer: NeRF Transformation From a Single View via 3D Scene Flows.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 |
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Pseudo-Generalized Dynamic View Synthesis From a Video.
International Conference on Learning Representations (ICLR), 2024 |
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Occupancy Planes for Single-View RGB-D Human Reconstruction.
AAAI Conference on Artificial Intelligence (AAAI), 2023 |
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Generative Multiplane Images: Making a 2D GAN 3D-Aware.
European Conference on Computer Vision (ECCV), 2022 (Oral Presentation)
Media:
机器之心 (Chinese) /
MarkTechPost
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Initialization and Alignment for Adversarial Texture Optimization.
European Conference on Computer Vision (ECCV), 2022 |
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Class-agnostic Reconstruction of Dynamic Objects From Videos.
(* denotes equal contribution) Neural Information Processing Systems (NeurIPS), 2021 |
[3] |
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The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.
International Conference on Computer Vision (ICCV), 2021 |
[2] |
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Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning.
(* denotes equal contribution) Research in Computational Molecular Biology (RECOMB), 2019 |
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Integrating Thermodynamic and Sequence Contexts Improves Protein-RNA Binding Prediction.
PLOS Computational Biology, 2019 |
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Learning From Synthesized Demonstrations.
International Conference on Machine Learning (ICML) Workshop on Learning in Artificial Open Worlds, 2020 |
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Approximation Gradient Error Variance Reduced Optimization.
AAAI Conference on Artificial Intelligence (AAAI) Workshop on Reinforcement Learning in Games, 2019 |
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Harnessing Data Priors to Mitigate 3D Data Scarcity.
The slides are almost the same as those for my job talk Harnessing "Dark" Data. 2024/10: PhD Thesis Defense |