| Foveabox: Beyound anchor-based object detection T Kong, F Sun, H Liu, Y Jiang, L Li, J Shi IEEE Transactions on Image Processing 29, 7389-7398, 2020 | 652 | 2020 |
| Why people hate your app: Making sense of user feedback in a mobile app store B Fu, J Lin, L Li, C Faloutsos, J Hong, N Sadeh Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 515 | 2013 |
| Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 500 | 2012 |
| Sparse r-cnn: End-to-end object detection with learnable proposals P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, L Li, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 474 | 2021 |
| Solo: Segmenting objects by locations X Wang, T Kong, C Shen, Y Jiang, L Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 448 | 2020 |
| SOLOv2: Dynamic and Fast Instance Segmentation X Wang, R Zhang, T Kong, L Li, C Shen arXiv e-prints, arXiv: 2003.10152, 2020 | 412 | 2020 |
| Rise and fall patterns of information diffusion: model and implications Y Matsubara, Y Sakurai, BA Prakash, L Li, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 401 | 2012 |
| Dense contrastive learning for self-supervised visual pre-training X Wang, R Zhang, C Shen, T Kong, L Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 370 | 2021 |
| Brits: Bidirectional recurrent imputation for time series W Cao, D Wang, J Li, H Zhou, Y Li, L Li Advances in neural information processing systems 31, 2018 | 340 | 2018 |
| On the Sentence Embeddings from Pre-trained Language Models B Li, H Zhou, J He, M Wang, Y Yang, L Li Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 319 | 2020 |
| Vatex: A large-scale, high-quality multilingual dataset for video-and-language research X Wang, J Wu, J Chen, L Li, YF Wang, WY Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 278 | 2019 |
| It's who you know: graph mining using recursive structural features K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 253 | 2011 |
| Dynammo: Mining and summarization of coevolving sequences with missing values L Li, J McCann, NS Pollard, C Faloutsos Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 187 | 2009 |
| Dynamically fused graph network for multi-hop reasoning L Qiu, Y Xiao, Y Qu, H Zhou, L Li, W Zhang, Y Yu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 184 | 2019 |
| CFO: Conditional focused neural question answering with large-scale knowledge bases Z Dai, L Li, W Xu ACL, 2016 | 161 | 2016 |
| Thermocast: a cyber-physical forecasting model for datacenters L Li, CJM Liang, J Liu, S Nath, A Terzis, C Faloutsos Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 132 | 2011 |
| CGMH: Constrained sentence generation by metropolis-hastings sampling N Miao, H Zhou, L Mou, R Yan, L Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6834-6842, 2019 | 127 | 2019 |
| Generating fluent adversarial examples for natural languages H Zhang, H Zhou, N Miao, L Li the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 125 | 2019 |
| Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations H Wu, J Mao, Y Zhang, Y Jiang, L Li, W Sun, WY Ma Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 121 | 2019 |
| Towards making the most of BERT in neural machine translation J Yang, M Wang, H Zhou, C Zhao, Y Yu, W Zhang, L Li Proceedings of AAAI Conference on Artificial Intelligence 34, 9378-9385, 2020 | 111 | 2020 |
Hao ZhouInsititute for AI Industry Research (AIR), Tsinghua Universityair.tsinghua.edu.cn의 이메일 확인됨
