Alert button
Picture for Chang Liu

Chang Liu

Alert button

Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE

Aug 25, 2021
Wenzhao Xiang, Chang Liu, Shibao Zheng

Figure 1 for Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Figure 2 for Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Figure 3 for Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Figure 4 for Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Viaarxiv icon

Vision-Language Transformer and Query Generation for Referring Segmentation

Aug 12, 2021
Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang

Figure 1 for Vision-Language Transformer and Query Generation for Referring Segmentation
Figure 2 for Vision-Language Transformer and Query Generation for Referring Segmentation
Figure 3 for Vision-Language Transformer and Query Generation for Referring Segmentation
Figure 4 for Vision-Language Transformer and Query Generation for Referring Segmentation
Viaarxiv icon

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering

Aug 03, 2021
Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Figure 1 for Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Figure 2 for Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Figure 3 for Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Figure 4 for Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Viaarxiv icon

On the Generative Utility of Cyclic Conditionals

Aug 03, 2021
Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu

Figure 1 for On the Generative Utility of Cyclic Conditionals
Figure 2 for On the Generative Utility of Cyclic Conditionals
Figure 3 for On the Generative Utility of Cyclic Conditionals
Figure 4 for On the Generative Utility of Cyclic Conditionals
Viaarxiv icon

Tracing Halpha Fibrils through Bayesian Deep Learning

Jul 16, 2021
Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang

Figure 1 for Tracing Halpha Fibrils through Bayesian Deep Learning
Figure 2 for Tracing Halpha Fibrils through Bayesian Deep Learning
Figure 3 for Tracing Halpha Fibrils through Bayesian Deep Learning
Figure 4 for Tracing Halpha Fibrils through Bayesian Deep Learning
Viaarxiv icon

A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)

Jun 25, 2021
Tianle Yue, Hang Yang, Zongliang Du, Chang Liu, Khalil I. Elkhodary, Shan Tang, Xu Guo

Figure 1 for A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
Figure 2 for A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
Figure 3 for A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
Figure 4 for A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
Viaarxiv icon

Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks

Jun 24, 2021
Xianlong Zeng, Simon Lin, Chang Liu

Figure 1 for Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
Figure 2 for Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
Figure 3 for Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
Figure 4 for Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
Viaarxiv icon

Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods

Jun 24, 2021
Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu

Figure 1 for Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Figure 2 for Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Figure 3 for Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Figure 4 for Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Viaarxiv icon

Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis

Jun 23, 2021
Xianlong Zeng, Simon Lin, Chang Liu

Figure 1 for Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Figure 2 for Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Figure 3 for Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Figure 4 for Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Viaarxiv icon