| Influence maximization in social networks when negative opinions may emerge and propagate W Chen, A Collins, R Cummings, T Ke, Z Liu, D Rincon, X Sun, Y Wang, ... SIAM International Conference on Data Mining (SDM), 379-390, 2011 | 465 | 2011 |
| Influence maximization in social Networks when negative opinions may emerge and propagate Y Yuan, W Wei, W Chen, A Collins, R Cummings, T Ke, Z Liu, ... | 465 | 2010 |
| Thoracic Disease Identification and Localization with Limited Supervision Z Li, C Wang, M Han, Y Xue, W Wei, LJ Li, FF Li Computer Vision and Pattern Recognition (CVPR), 2018 | 436 | 2018 |
| Meta architecture search A Shaw, W Wei, W Liu, L Song, B Dai Advances in Neural Information Processing Systems (NeurIPS), 2019 | 364* | 2019 |
| Remix: rebalanced mixup HP Chou, SC Chang, JY Pan, W Wei, DC Juan Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 283 | 2020 |
| Monas: Multi-objective neural architecture search using reinforcement learning CH Hsu, SH Chang, JH Liang, HP Chou, CH Liu, SC Chang, JY Pan, ... arXiv preprint arXiv:1806.10332, 2018 | 225 | 2018 |
| DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures JD Dong, AC Cheng, DC Juan, W Wei, M Sun European Conference on Computer Vision (ECCV), 2018 | 217 | 2018 |
| COCO-GAN: Generation by Parts via Conditional Coordinating CH Lin, CC Chang, YS Chen, DC Juan, W Wei, HT Chen International Conference on Computer Vision (ICCV), oral, 2019 | 170 | 2019 |
| Policy Certificates: Towards Accountable Reinforcement Learning C Dann, L Li, W Wei, E Brunskill International Conference on Machine Learning (ICML), 2019 | 169 | 2019 |
| Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models N Ruiz, Y Li, V Jampani, W Wei, T Hou, Y Pritch, N Wadhwa, M Rubinstein, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 134 | 2024 |
| Using tweets to support disaster planning, warning and response PM Landwehr, W Wei, M Kowalchuck, KM Carley Safety science 90, 33-47, 2016 | 127 | 2016 |
| Differentiable top-k with optimal transport Y Xie, H Dai, M Chen, B Dai, T Zhao, H Zha, W Wei, T Pfister Advances in Neural Information Processing Systems 33, 20520-20531, 2020 | 122 | 2020 |
| On the Robustness of Self-Attentive Models YL Hsieh, M Cheng, DC Juan, W Wei, WL Hsu, CJ Hsieh Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 119 | 2019 |
| AirDialogue: An Environment for Goal-Oriented Dialogue Research W Wei, QV Le, AM Dai, LJ Li Empirical Methods in Natural Language Processing (EMNLP), 2018 | 107 | 2018 |
| Abstract reasoning with distracting features K Zheng, Z Zha, W Wei Neural Information Processing Systems (NeurIPS), 2019 | 80 | 2019 |
| Question answering with long multiple-span answers M Zhu, A Ahuja, DC Juan, W Wei, CK Reddy Findings of the Association for Computational Linguistics: EMNLP 2020, 3840-3849, 2020 | 76 | 2020 |
| Complement Objective Training HY Chen, PH Wang, CH Liu, SC Chang, JY Pan, YT Chen, W Wei, ... International Conference on Learning Representations (ICLR), 2019 | 70 | 2019 |
| Improving Adversarial Robustness via Guided Complement Entropy HY Chen, JH Liang, SC Chang, JY Pan, YT Chen, W Wei, DC Juan International Conference on Computer Vision (ICCV), 2019 | 69 | 2019 |
| A Hierarchical Attention Retrieval Model for Healthcare Question Answering M Zhu, A Ahuja, W Wei, C Reddy International Conference on World Wide Web (WWW), 2019 | 65 | 2019 |
| Structural Embedding of Syntactic Trees for Machine Comprehension R Liu, J Hu, W Wei, Z Yang, E Nyberg Empirical Methods in Natural Language Processing (EMNLP), 2017 | 59 | 2017 |
Da-Cheng JuanGoogle Research, National Tsing Hua University, Carnegie Mellon University在 dacheng.info 的电子邮件经过验证
