| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in Neural Information Processing Systems 33, 17283-17297, 2020 | 609 | 2020 |
| ETC: Encoding Long and Structured Data in Transformers J Ainslie, S Ontanon, C Alberti, P Pham, A Ravula, ... arXiv preprint arXiv:2004.08483, 2020 | 104 | 2020 |
| Preference preserving hashing for efficient recommendation Z Zhang, Q Wang, L Ruan, L Si Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 64 | 2014 |
| Semantic hashing using tags and topic modeling Q Wang, D Zhang, L Si Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 58 | 2013 |
| Ranking Preserving Hashing for Fast Similarity Search Q Wang, Z Zhang, L Si 24th International Joint Conference on Artificial Intelligence, IJCAI, 2015 | 56 | 2015 |
| Binary codes embedding for fast image tagging with incomplete labels Q Wang, B Shen, S Wang, L Li, L Si European Conference on Computer Vision, 425-439, 2014 | 53 | 2014 |
| LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis Z Gu, K Pei, Q Wang, L Si, X Zhang, D Xu | 48 | 2015 |
| Learning to hash with partial tags: Exploring correlation between tags and hashing bits for large scale image retrieval Q Wang, L Si, D Zhang European conference on computer vision, 378-392, 2014 | 37 | 2014 |
| Latent discriminative models for social emotion detection with emotional dependency X Quan, Q Wang, Y Zhang, L Si, L Wenyin ACM Transactions on Information Systems (TOIS) 34 (1), 1-19, 2015 | 32 | 2015 |
| Robust nonnegative matrix factorization via L1norm regularization by multiplicative updating rules B Shen, BD Liu, Q Wang, R Ji 2014 IEEE International Conference on Image Processing (ICIP), 5282-5286, 2014 | 29 | 2014 |
| Learning to Hash on Partial Multi-Modal Data Q Wang, L Si, B Shen 24th International Joint Conference on Artificial Intelligence, IJCAI, 2015 | 27 | 2015 |
| Learning to extract attribute value from product via question answering: A multi-task approach Q Wang, L Yang, B Kanagal, S Sanghai, D Sivakumar, B Shu, Z Yu, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 26 | 2020 |
| Cross-domain and cross-category emotion tagging for comments of online news Y Zhang, N Zhang, L Si, Y Lu, Q Wang, X Yuan Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 25 | 2014 |
| Weighted hashing for fast large scale similarity search Q Wang, D Zhang, L Si Proceedings of the 22nd ACM international conference on Information …, 2013 | 23 | 2013 |
| A discriminative data-dependent mixture-model approach for multiple instance learning in image classification Q Wang, L Si, D Zhang European Conference on Computer Vision, 660-673, 2012 | 23 | 2012 |
| Should graph convolution trust neighbors? a simple causal inference method F Feng, W Huang, X He, X Xin, Q Wang, TS Chua Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 22 | 2021 |
| Learning compact hashing codes for efficient tag completion and prediction Q Wang, L Ruan, Z Zhang, L Si Proceedings of the 22nd ACM international conference on Information …, 2013 | 22 | 2013 |
| Elastic net regularized dictionary learning for image classification B Shen, BD Liu, Q Wang Multimedia Tools and Applications 75 (15), 8861-8874, 2016 | 21 | 2016 |
| Learning for efficient supervised query expansion via two-stage feature selection Z Zhang, Q Wang, L Si, J Gao Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 21 | 2016 |
| Adaptive knowledge transfer for multiple instance learning in image classification Q Wang, L Ruan, L Si Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 20 | 2014 |
Luo SiAlibaba Group Inc, Purdue Univ, Carnegie Mellon UnivVerified email at cs.purdue.edu
