Research Projects
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Relationship of Data Complexity and Model Robustness
Peking University; Advisor: Prof. Zhanxing Zhu; Oct. 2018-present
- Did a paper review on theoretical analysis about network robustness and generalizability.
- Experimentally discovered the relationship between robustness and data amount and input dimension.
- Tried introducing randomness into network weights and feature maps to improve robustness.
Defense of Adversarial Examples vis Sparse Coding [Arxiv]
UCSD; Advisor: Prof. Hao Su; Jul. 2018-Sept.2018
- Proposed patch-based Introspective Neural Network for restoration of adversarial examples on ImageNet.
- Proposed an attack-agnostic adversarial defense via convolutional sparse coding and outperformed state-of-the-art by up to 26.6%.
- Organized and finished an academic paper from scratch.
3D Multi-view Point Cloud Reconstruction from Single Image [AAAI 2019 Oral, pdf]
MSRA; Advisor: Jinglu Wang; Dec. 2017-Mar. 2018
- Proposed a 2D convolution-favored 3D point cloud representation recording coordinates and visibilities.
- Proposed a post-processing network to refine conversion from point cloud to voxel achieving about 5% IoU shift.
- Implemented multi-view point regression network which outperformed state-of-the-art by 0.1 IoU on hard classes.
3D Indoor Scene Reconstruction
MSRA; Advisor: Jinglu Wang; Mar. 2018-May 2018
- Reimplemented Roomnet, a proprietary architecture for room key-point detection.
- Proposed multi-channel boundary map denoting neighboring and vertical relationships in room plane reconstruction.
Selected Presentations
Testing Bayesian Network [slide]
Prof. Adnan Darwiche's Lab; UCLA
This pre summarizes Testing Bayesian Network(TBN) which compile Bayesian network queries to arithmetic circuit. Then it posts some discussion and potential applications of TBN.
Network Visualization and Interpretation [slide]
Prof. Yizhou Wang's Lab; PKU
This pre first classifies network visualization and interpretation. Then it introduces several works for every type of method.
Style Transfer [slide]
Prof. Yizhou Wang's Lab; PKU
This pre introduces concept, basic method and several improvements of style transfer.
Generative Adversarial Networks [slide]
Prof. Yizhou Wang's Lab; PKU
This pre introduces the background, method, applications and discussion of generative adversarial networks(GAN).