| SphereFace: Deep Hypersphere Embedding for Face Recognition W Liu, Y Wen, Z Yu, M Li, B Raj, L Song CVPR 2017 (arXiv preprint arXiv:1704.08063), 2017 | 4030 | 2017 |
| Large-margin softmax loss for convolutional neural networks W Liu, Y Wen, Z Yu, M Yang ICML 2016 (arXiv preprint arXiv:1612.02295), 2016 | 2100 | 2016 |
| Additive margin softmax for face verification F Wang, W Liu, J Cheng, H Liu ICLR 2018 Workshop (arXiv preprint arXiv:1801.05599), 2018 | 1728 | 2018 |
| Metamath: Bootstrap your own mathematical questions for large language models L Yu, W Jiang, H Shi, J Yu, Z Liu, Y Zhang, JT Kwok, Z Li, A Weller, W Liu ICLR 2024 (arXiv preprint arXiv:2309.12284), 2024 | 1002 | 2024 |
| Pre-training Molecular Graph Representation with 3D Geometry S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang ICLR 2022 (arXiv preprint arXiv:2110.07728), 2022 | 585 | 2022 |
| Iterative Learning with Open-set Noisy Labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR 2018 (arXiv preprint arXiv:1804.00092), 2018 | 414 | 2018 |
| MeshDiffusion: Score-based Generative 3D Mesh Modeling Z Liu, Y Feng, MJ Black, D Nowrouzezahrai, L Paull, W Liu ICLR 2023 (arXiv preprint arXiv:2303.08133), 2023 | 245 | 2023 |
| Towards Principled Disentanglement for Domain Generalization H Zhang, YF Zhang, W Liu, A Weller, B Schölkopf, EP Xing CVPR 2022 (arXiv preprint arXiv:2111.13839), 2022 | 223 | 2022 |
| Controlling Text-to-Image Diffusion by Orthogonal Finetuning Z Qiu*, W Liu*, H Feng, Y Xue, Y Feng, Z Liu, D Zhang, A Weller, ... NeurIPS 2023 (arXiv preprint arXiv:2306.07280), 2023 | 210 | 2023 |
| Learning towards Minimum Hyperspherical Energy W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song NIPS 2018 (arXiv preprint arXiv:1805.09298), 2018 | 195 | 2018 |
| Deep hyperspherical learning W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song NIPS 2017 (arXiv preprint arXiv:1711.03189), 2017 | 185 | 2017 |
| Iterative Machine Teaching W Liu, B Dai, A Humayun, C Tay, Y Chen, LB Smith, JM Rehg, L Song ICML 2017 (arXiv preprint arXiv:1705.10470), 2017 | 182 | 2017 |
| Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, ... Nature Machine Intelligence (arXiv preprint arXiv:2111.09461), 2021 | 132* | 2021 |
| Meta Architecture Search AE Shaw, W Wei, W Liu, L Song, B Dai NeurIPS 2019 (arXiv preprint arXiv:1812.09584), 2019 | 125 | 2019 |
| Simultaneous Edge Alignment and Learning Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Kumar, J Kautz ECCV 2018 (arXiv preprint arXiv:1808.01992), 2018 | 116 | 2018 |
| Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization W Liu, Z Qiu, Y Feng, Y Xiu, Y Xue, L Yu, H Feng, Z Liu, J Heo, S Peng, ... ICLR 2024 (arXiv preprint arXiv:2311.06243), 2024 | 114 | 2024 |
| Disjoint Mapping Network for Cross-modal Matching of Voices and Faces Y Wen, MA Ismail, W Liu, B Raj, R Singh ICLR 2019 (arXiv preprint arXiv:1807.04836), 2019 | 100 | 2019 |
| GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs G Gao, W Liu, A Chen, A Geiger, B Schölkopf CVPR 2024 (arXiv preprint arXiv:2312.00093), 2024 | 99 | 2024 |
| Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision Z Sun, L Yu, Y Shen, W Liu, Y Yang, S Welleck, C Gan NeurIPS 2024 (arXiv preprint arXiv:2403.09472), 2024 | 98 | 2024 |
| Decoupled Networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song CVPR 2018 (arXiv preprint arXiv:1804.08071), 2018 | 91 | 2018 |
Yandong WenWestlake UniversityVerified email at westlake.edu.cn
