Tunhou Zhang

Orcid: 0000-0001-9590-9433

According to our database1, Tunhou Zhang authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Toward Fully Automated Machine Learning for Routability Estimator Development.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

CSCO: Connectivity Search of Convolutional Operators.
CoRR, 2024

Peeking Behind the Curtains of Residual Learning.
CoRR, 2024

2023
DistDNAS: Search Efficient Feature Interactions within 2 Hours.
CoRR, 2023

Farthest Greedy Path Sampling for Two-shot Recommender Search.
CoRR, 2023

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

: Joint Point Interaction-Dimension Search for 3D Point Cloud.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud.
CoRR, 2022

Towards collaborative intelligence: routability estimation based on decentralized private data.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Automatic Routability Predictor Development Using Neural Architecture Search.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

AI-Powered IoT System at the Edge.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
NASGEM: Neural Architecture Search via Graph Embedding Method.
CoRR, 2020

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.
CoRR, 2019

MSNet: Structural Wired Neural Architecture Search for Internet of Things.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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