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ORCIDZitian Chen
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2020 – today
- 2023
[c8]Zitian Chen, Guang Li, Danyang Xiao, Weigang Wu, Jieying Zhou:
HoME: Homogeneity-Mining-Based Embedding Towards Detecting Illicit Transactions on Bitcoin. APWeb-WAIM (1) 2023: 422-436- [c7]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR 2023: 11828-11837 - [c6]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR 2023: 14528-14539 - [i9]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i8]Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan:
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR abs/2306.17165 (2023) - 2022
- [i7]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. CoRR abs/2212.08066 (2022) - 2021
- [c5]Zitian Chen, Subhransu Maji, Erik G. Learned-Miller:
Shot in the Dark: Few-Shot Learning With No Base-Class Labels. CVPR Workshops 2021: 2668-2677 - [c4]Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. ICLR 2021 - [i6]Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides:
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. CoRR abs/2104.00676 (2021) - 2020
- [j2]Chengming Xu
, Yanwei Fu, Bing Zhang, Zitian Chen, Yu-Gang Jiang, Xiangyang Xue:
Learning to Score Figure Skating Sport Videos. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4578-4590 (2020) - [i5]Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik G. Learned-Miller:
Cross-Supervised Object Detection. CoRR abs/2006.15056 (2020) - [i4]Zitian Chen, Subhransu Maji, Erik G. Learned-Miller:
Shot in the Dark: Few-Shot Learning with No Base-Class Labels. CoRR abs/2010.02430 (2020)
2010 – 2019
- 2019
- [j1]Zitian Chen, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal:
Multi-Level Semantic Feature Augmentation for One-Shot Learning. IEEE Trans. Image Process. 28(9): 4594-4605 (2019) - [c3]Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang:
Image Block Augmentation for One-Shot Learning. AAAI 2019: 3379-3386 - [c2]Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019: 8680-8689 - [i3]Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CoRR abs/1905.11641 (2019) - 2018
- [c1]Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu:
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines. CVPR 2018: 3810-3819 - [i2]Zitian Chen, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal:
Semantic Feature Augmentation in Few-shot Learning. CoRR abs/1804.05298 (2018) - [i1]Kaiyu Chen, Yihan Dong, Xipeng Qiu, Zitian Chen:
Neural Arithmetic Expression Calculator. CoRR abs/1809.08590 (2018)
Coauthor Index
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