Tianzhe Wang

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

Collaborative distances:

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

2024

Fast convergence strategy for adaptive structural reliability analysis based on kriging believer criterion and importance sampling.

Zequan Chen, Jialong He, Guofa Li, Zhaojun Yang, Tianzhe Wang, Xuejiao Du

Reliab. Eng. Syst. Saf., February, 2024

A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging.

Tianzhe Wang, Zequan Chen, Guofa Li, Jialong He, Chao Liu, Xuejiao Du

Reliab. Eng. Syst. Saf., January, 2024

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering.

Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events.

Guofa Li, Tianzhe Wang, Zequan Chen, Jialong He, Xiaoye Wang, Xuejiao Du

Reliab. Eng. Syst. Saf., November, 2023

2022

Learning Universe Model for Partial Matching Networks over Multiple Graphs.

Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan

CoRR, 2022

Spanning Tree-based Graph Generation for Molecules.

Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph.

Zetian Jiang, Tianzhe Wang, Junchi Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Molecule Optimization by Explainable Evolution.

Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song

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

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

AutoML for Architecting Efficient and Specialized Neural Networks.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han

IEEE Micro, 2020

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

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han

CoRR, 2020

Once-for-All: Train One Network and Specialize it for Efficient Deployment.

Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition.

Tianzhe Wang, Zetian Jiang, Junchi Yan

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.

Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Knowledge Distillation for Small Foot-print Deep Speaker Embedding.

Shuai Wang, Yexin Yang, Tianzhe Wang, Yanmin Qian, Kai Yu

Proceedings of the IEEE International Conference on Acoustics, 2019