Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Shengyu Zhang

Shengyu Zhang
Alert button

ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution


May 20, 2022
Lixue Cheng, Ziyi Yang, Benben Liao, Changyu Hsieh, Shengyu Zhang

Add code
Alert button

Figure 1 for ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
Figure 2 for ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
Figure 3 for ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
Figure 4 for ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
* 25 pages, 11 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Contrastive Learning with Positive-Negative Frame Mask for Music Representation


Apr 03, 2022
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He

Add code
Alert button

Figure 1 for Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Figure 2 for Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Figure 3 for Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Figure 4 for Contrastive Learning with Positive-Negative Frame Mask for Music Representation
* Accepted by WWW2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation


Mar 21, 2022
Wenqiao Zhang, Lei Zhu, James Hallinan, Andrew Makmur, Shengyu Zhang, Qingpeng Cai, Beng Chin Ooi

Add code
Alert button

Figure 1 for BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Figure 2 for BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Figure 3 for BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Figure 4 for BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
* CVPR 2022 
 * 11 pages 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding


Mar 15, 2022
Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, Fei Wu

Add code
Alert button

Figure 1 for End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Figure 2 for End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Figure 3 for End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Figure 4 for End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation


Feb 21, 2022
Dongqi Wang, Shengyu Zhang, Zhipeng Di, Xin Lin, Weihua Zhou, Fei Wu

Add code
Alert button

Figure 1 for A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Figure 2 for A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Figure 3 for A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Figure 4 for A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer


Jan 29, 2022
Yue Wan, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang

Add code
Alert button

Figure 1 for Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
Figure 2 for Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
Figure 3 for Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
Figure 4 for Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning


Dec 13, 2021
Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang

Add code
Alert button

Figure 1 for MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
Figure 2 for MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
Figure 3 for MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
Figure 4 for MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning Large-scale Network Embedding from Representative Subgraph


Dec 02, 2021
Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu, Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang

Add code
Alert button

Figure 1 for Learning Large-scale Network Embedding from Representative Subgraph
Figure 2 for Learning Large-scale Network Embedding from Representative Subgraph
Figure 3 for Learning Large-scale Network Embedding from Representative Subgraph
Figure 4 for Learning Large-scale Network Embedding from Representative Subgraph
* 10 pages, 5 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
<<
1
2
3
4
5
>>