Wei-Wei Tu

According to our database1, Wei-Wei Tu authored at least 22 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Search to aggregate neighborhood for graph neural network.
CoRR, 2021

Auto-KWS 2021 Challenge: Task, Datasets, and Baselines.
CoRR, 2021

Online Strongly Convex Optimization with Unknown Delays.
CoRR, 2021

2020
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Towards automated computer vision: analysis of the AutoCV challenges 2019.
Pattern Recognit. Lett., 2020

MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning.
CoRR, 2020

Network On Network for Tabular Data Classification in Real-world Applications.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification.
Proceedings of the Interspeech 2020, 2020

Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity.
Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Neural Architecture Search via Proximal Iterations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards AutoML in the presence of Drift: first results.
CoRR, 2019

Differentiable Neural Architecture Search via Proximal Iterations.
CoRR, 2019

AutoML @ NeurIPS 2018 challenge: Design and Results.
CoRR, 2019

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning for Tail Label Data: A Label-Specific Feature Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Automated Semi-Supervised Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Analysis of the AutoML Challenge Series 2015-2018.
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2018
Privacy-preserving Transfer Learning for Knowledge Sharing.
CoRR, 2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR, 2018


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