Knowledge Distillation for Small Foot-print Deep Speaker Embedding. - Shuai Wang 016; Yexin Yang; Tianzhe Wang; Yanmin Qian; Kai Yu 004 (ICASSP, 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 002; Song Han 003 (ICCV Workshops, 2019)

Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. - Tianzhe Wang; Zetian Jiang; Junchi Yan (AAAI, 2020)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Yujun Lin 001; Song Han 003 (CVPR, 2020)

Once-for-All: Train One Network and Specialize it for Efficient Deployment. - Han Cai; Chuang Gan 001; Tianzhe Wang; Zhekai Zhang; Song Han 003 (ICLR, 2020)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Song Han 003 (CoRR, 2020)

AutoML for Architecting Efficient and Specialized Neural Networks. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Kuan Wang; Tianzhe Wang; Ligeng Zhu; Song Han 003 (IEEE Micro, 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

Molecule Optimization by Explainable Evolution. - Binghong Chen; Tianzhe Wang; Chengtao Li; Hanjun Dai; Le Song (ICLR, 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)

Spanning Tree-based Graph Generation for Molecules. - Sungsoo Ahn; Binghong Chen; Tianzhe Wang; Le Song (ICLR, 2022)

Learning Universe Model for Partial Matching Networks over Multiple Graphs. - Zetian Jiang; Jiaxin Lu 001; Tianzhe Wang; Junchi Yan (CoRR, 2022)

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., 2023)

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. - Jiaxin Lu 001; Zetian Jiang; Tianzhe Wang; Junchi Yan (ICLR, 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., 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., 2024)

Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching. - Zetian Jiang; Jiaxin Lu 001; Haizhao Fan; Tianzhe Wang; Junchi Yan (ICLR, 2025)

Dual branch feature matching guided multi-source domain adaptive ensemble network for rotating machinery fault diagnosis. - Bo Liu; Guofa Li; Jialong He; Shaoyang Liu; Tianzhe Wang; Rundong Shi (Adv. Eng. Informatics, 2025)