David W. Zhang

According to our database, David W. Zhang authored at least 17 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks.

Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring

CoRR, 2024

Improved Generalization of Weight Space Networks via Augmentations.

Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay.

Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Neural Networks for Learning Equivariant Representations of Neural Networks.

Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling.

Leander van den Heuvel, Gertjan J. Burghouts, David W. Zhang, Gwenn Englebienne, Sabina B. van Rooij

CoRR, 2023

Latent Space Editing in Transformer-Based Flow Matching.

Vincent Tao Hu, David W. Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G. M. Snoek

CoRR, 2023

Data Augmentations in Deep Weight Spaces.

Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

CoRR, 2023

Unlocking Slot Attention by Changing Optimal Transport Costs.

Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

Proceedings of the International Conference on Machine Learning, 2023

Robust Scheduling with GFlowNets.

David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Guided Diffusion Models.

Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets.

David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek

Proceedings of the Learning on Graphs Conference, 2022

Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation.

Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Recurrently Predicting Hypergraphs.

David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek

CoRR, 2021

Set Prediction without Imposing Structure as Conditional Density Estimation.

David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek

Proceedings of the 9th International Conference on Learning Representations, 2021

2012

Motion blur removal for humanoid robots.

Teng Li, David W. Zhang, Yanan Fu, Max Q.-H. Meng

Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 2012

3-D shape recovery of luminal wall from WCE image.

Yanan Fu, David W. Zhang, Haiying Liu, Max Q.-H. Meng

Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 2012

2011

Storyboard of WCE Video Extraction Based on Frame difference.

Yanan Fu, Mrinal Mandal, David W. Zhang, Max Q.-H. Meng

Int. J. Inf. Acquis., 2011