| Pose2seg: Detection free human instance segmentation SH Zhang, R Li, X Dong, P Rosin, Z Cai, X Han, D Yang, H Huang, SM Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 243 | 2019 |
| Robfr: Benchmarking adversarial robustness on face recognition X Yang, D Yang, Y Dong, H Su, W Yu, J Zhu arXiv preprint arXiv:2007.04118, 2020 | 29* | 2020 |
| Dynamic programming assisted quantization approaches for compressing Normal and robust DNN models D Yang, W Yu, H Mu, G Yao Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 13* | 2021 |
| CNN-Cap: Effective convolutional neural network based capacitance models for full-chip parasitic extraction D Yang, W Yu, Y Guo, W Liang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 10 | 2021 |
| On the Multi-modal Vulnerability of Diffusion Models D Yang, Y Bai, X Jia, Y Liu, X Cao, W Yu Trustworthy Multi-modal Foundation Models and AI Agents (TiFA), 2024 | 9* | 2024 |
| CNN-Cap: Effective convolutional neural network-based capacitance models for interconnect capacitance extraction D Yang, H Li, W Yu, Y Guo, W Liang ACM Transactions on Design Automation of Electronic Systems 28 (4), 1-22, 2023 | 8 | 2023 |
| Boosting the adversarial transferability of surrogate models with dark knowledge D Yang, Z Xiao, W Yu 2023 IEEE 35th International Conference on Tools with Artificial …, 2023 | 5 | 2023 |
| DP-Nets: Dynamic programming assisted quantization schemes for DNN compression and acceleration D Yang, W Yu, X Ding, A Zhou, X Wang Integration 82, 147-154, 2022 | 4 | 2022 |
| Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model D Yang, W Yu, Z Xiao, J Luo 2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023 | 1 | 2023 |
| Optimal Algorithm for Profiling Dynamic Arrays with Finite Values D Yang, W Yu, J Deng, S Liu 2019 The 22nd International Conference on Extending Database Technology (EDBT), 2018 | 1* | 2018 |
| NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation H Li, D Yang, C Pei, W Yu arXiv preprint arXiv:2408.13195, 2024 | | 2024 |
| Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs S Shen, D Yang, Y Xie, C Pei, B Yu, W Yu Proceedings of the Great Lakes Symposium on VLSI 2024, 440-445, 2024 | | 2024 |
| Training Better CNN Models for 3-D Capacitance Extraction with Neural Architecture Search H Li, D Yang, W Yu 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2024 | | 2024 |
Wenjian YuDept. Computer Science & Technology, Tsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn