2 code implementations • 18 Nov 2023 • Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang
For access to the source code and participation in discussions, visit the official GitHub page for Tactcis2D at https://github. com/WoodOxen/Tactics2D.
1 code implementation • 22 Nov 2023 • Weihao Yan, Yeqiang Qian, Xingyuan Chen, Hanyang Zhuang, Chunxiang Wang, Ming Yang
It involves Semantic-Guided Mask Labeling, which assigns semantic labels to unlabeled SAM masks using UDA pseudo-labels.
1 code implementation • 5 Apr 2020 • Xingyuan Chen, Ping Cai, Peng Jin, Hongjun Wang, Xin-yu Dai, Jia-Jun Chen
To alleviate the exposure bias, generative adversarial networks (GAN) use the discriminator to update the generator's parameters directly, but they fail by being evaluated precisely.
1 code implementation • 30 May 2019 • Xingyuan Chen, Yanzhe Li, Peng Jin, Jiuhua Zhang, Xin-yu Dai, Jia-Jun Chen, Gang Song
It is easy to improve the existing GAN-based models with this mechanism.
no code implementations • 28 Sep 2019 • Xingyuan Chen, Ping Cai, Peng Jin, Haokun Du, Hongjun Wang, Xingyu Dai, Jia-Jun Chen
In this paper, we theoretically propose two metric functions to measure the distributional difference between real text and generated text.
1 code implementation • 4 May 2020 • Ping Cai, Xingyuan Chen, Peng Jin, Hongjun Wang, Tianrui Li
The purpose of unconditional text generation is to train a model with real sentences, then generate novel sentences of the same quality and diversity as the training data.
no code implementations • 6 May 2021 • Ruoxi Qin, Linyuan Wang, Xingyuan Chen, Xuehui Du, Bin Yan
The defense strategies are particularly passive in these processes, and enhancing initiative of such strategies can be an effective way to get out of this arms race.
no code implementations • 3 Jan 2022 • Mohammad A. Moghaddam, Ty P. A. Ferre, Xingyuan Chen, Kewei Chen, Mohammad Reza Ehsani
The results indicate that both ML and DL methods can be used to infer the surface/ground exchange flux.
no code implementations • AAAI Workshop AdvML 2022 • Ruoxi Qin, Linyuan Wang, Xuehui Du, Bin Yan, Xingyuan Chen
A new constraints norm is proposed in model training based on these criteria to isolate adversarial transferability without any prior knowledge of adversarial samples.
no code implementations • 1 Aug 2023 • Ruoxi Qin, Linyuan Wang, Xuehui Du, Xingyuan Chen, Bin Yan
The deep neural network has attained significant efficiency in image recognition.