| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2070 | 2023 |
| Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020 | 451 | 2020 |
| Synthesizer: Rethinking self-attention for transformer models Y Tay, D Bahri, D Metzler, DC Juan, Z Zhao, C Zheng International conference on machine learning, 10183-10192, 2021 | 374 | 2021 |
| Sparse sinkhorn attention Y Tay, D Bahri, L Yang, D Metzler, DC Juan International Conference on Machine Learning, 9438-9447, 2020 | 335 | 2020 |
| 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 | 281 | 2020 |
| Dpp-net: Device-aware progressive search for pareto-optimal neural architectures JD Dong, AC Cheng, DC Juan, W Wei, M Sun Proceedings of the European conference on computer vision (ECCV), 517-531, 2018 | 253* | 2018 |
| 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 |
| Rarr: Researching and revising what language models say, using language models L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, VY Zhao, N Lao, ... arXiv preprint arXiv:2210.08726, 2022 | 208 | 2022 |
| Neuralpower: Predict and deploy energy-efficient convolutional neural networks E Cai, DC Juan, D Stamoulis, D Marculescu Asian Conference on Machine Learning, 622-637, 2017 | 187 | 2017 |
| Coco-gan: Generation by parts via conditional coordinating CH Lin, CC Chang, YS Chen, DC Juan, W Wei, HT Chen Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 170 | 2019 |
| A2N: Attending to neighbors for knowledge graph inference T Bansal, DC Juan, S Ravi, A McCallum Proceedings of the 57th annual meeting of the association for computational …, 2019 | 145 | 2019 |
| On the robustness of self-attentive models YL Hsieh, M Cheng, DC Juan, W Wei, WL Hsu, CJ Hsieh Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 119 | 2019 |
| Hyperpower: Power-and memory-constrained hyper-parameter optimization for neural networks D Stamoulis, E Cai, DC Juan, D Marculescu 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 19-24, 2018 | 88 | 2018 |
| 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 | 75 | 2020 |
| Complement objective training HY Chen, PH Wang, CH Liu, SC Chang, JY Pan, YT Chen, W Wei, ... arXiv preprint arXiv:1903.01182, 2019 | 70 | 2019 |
| Svr-noc: A performance analysis tool for network-on-chips using learning-based support vector regression model Z Qian, DC Juan, P Bogdan, CY Tsui, D Marculescu, R Marculescu 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 354-357, 2013 | 69 | 2013 |
| Improving adversarial robustness via guided complement entropy HY Chen, JH Liang, SC Chang, JY Pan, YT Chen, W Wei, DC Juan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 68 | 2019 |
| Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling DC Juan, S Garg, J Park, D Marculescu 2013 International Conference on Hardware/Software Codesign and System …, 2013 | 66 | 2013 |
| A support vector regression (SVR)-based latency model for network-on-chip (NoC) architectures ZL Qian, DC Juan, P Bogdan, CY Tsui, D Marculescu, R Marculescu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015 | 56 | 2015 |
| Instanas: Instance-aware neural architecture search AC Cheng, CH Lin, DC Juan, W Wei, M Sun Proceedings of the AAAI conference on artificial intelligence 34 (04), 3577-3584, 2020 | 54 | 2020 |
Wei WeiResearch Scientist at GoogleVerified email at cs.cmu.edu
