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2020 – today
- 2024
[j5]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: 109643 (2024)- [j4]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: 109730 (2024) - [c9]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 - 2023
- [j3]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: 109513 (2023) - [i3]Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan:
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. CoRR abs/2310.18444 (2023) - 2022
- [c8]Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song:
Spanning Tree-based Graph Generation for Molecules. ICLR 2022 - [i2]Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan:
Learning Universe Model for Partial Matching Networks over Multiple Graphs. CoRR abs/2210.10374 (2022) - 2021
- [j2]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): 3648-3663 (2021) - [c7]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: 1-4 - [c6]Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song:
Molecule Optimization by Explainable Evolution. ICLR 2021 - 2020
- [j1]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): 75-82 (2020) - [c5]Tianzhe Wang, Zetian Jiang, Junchi Yan:
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. AAAI 2020: 1660-1667 - [c4]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: 2075-2084 - [c3]Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han:
Once-for-All: Train One Network and Specialize it for Efficient Deployment. ICLR 2020 - [i1]Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han:
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CoRR abs/2006.08509 (2020)
2010 – 2019
- 2019
- [c2]Shuai Wang, Yexin Yang, Tianzhe Wang, Yanmin Qian, Kai Yu:
Knowledge Distillation for Small Foot-print Deep Speaker Embedding. ICASSP 2019: 6021-6025 - [c1]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: 2509-2513
Coauthor Index
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