Tianzhe Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Unsupervised Learning

Reliability Analysis

Neural Architecture

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Zequan Chen, Jialong He, Guofa Li, Zhaojun Yang, Tianzhe Wang, Xuejiao Du
Fast convergence strategy for adaptive structural reliability analysis based on kriging believer criterion and importance sampling. Reliab. Eng. Syst. Saf. 242 (2024)
Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. ICLR (2024)
Tianzhe Wang, Zequan Chen, Guofa Li, Jialong He, Chao Liu, Xuejiao Du
A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging. Reliab. Eng. Syst. Saf. 241 (2024)
Guofa Li, Tianzhe Wang, Zequan Chen, Jialong He, Xiaoye Wang, Xuejiao Du
RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events. Reliab. Eng. Syst. Saf. 239 (2023)
Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. CoRR (2023)
Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan
Learning Universe Model for Partial Matching Networks over Multiple Graphs. CoRR (2022)
Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
Spanning Tree-based Graph Generation for Molecules. ICLR (2022)
Zetian Jiang, Tianzhe Wang, Junchi Yan
Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
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
The 2020 Low-Power Computer Vision Challenge. AICAS (2021)
Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Molecule Optimization by Explainable Evolution. ICLR (2021)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han
AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro 40 (1) (2020)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR (2020)
Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han
Once-for-All: Train One Network and Specialize it for Efficient Deployment. ICLR (2020)
Tianzhe Wang, Zetian Jiang, Junchi Yan
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. AAAI (2020)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CoRR (2020)
Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning. ICCV Workshops (2019)
Shuai Wang, Yexin Yang, Tianzhe Wang, Yanmin Qian, Kai Yu
Knowledge Distillation for Small Foot-print Deep Speaker Embedding. ICASSP (2019)