Tianzhe Wang

Orcid: 0000-0002-9908-1036

According to our database1, Tianzhe Wang authored at least 16 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Fast convergence strategy for adaptive structural reliability analysis based on kriging believer criterion and importance sampling.
Reliab. Eng. Syst. Saf., February, 2024

A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging.
Reliab. Eng. Syst. Saf., January, 2024

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events.
Reliab. Eng. Syst. Saf., November, 2023

2022
Learning Universe Model for Partial Matching Networks over Multiple Graphs.
CoRR, 2022

Spanning Tree-based Graph Generation for Molecules.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Molecule Optimization by Explainable Evolution.
Proceedings of the 9th International Conference on Learning Representations, 2021


2020
AutoML for Architecting Efficient and Specialized Neural Networks.
IEEE Micro, 2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.
CoRR, 2020

Once-for-All: Train One Network and Specialize it for Efficient Deployment.
Proceedings of the 8th International Conference on Learning Representations, 2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Knowledge Distillation for Small Foot-print Deep Speaker Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2019


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