| 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 | 1940 | 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 | 349 | 2020 |
| Dualgnn: Dual graph neural network for multimedia recommendation Q Wang, Y Wei, J Yin, J Wu, X Song, L Nie IEEE Transactions on Multimedia 25, 1074-1084, 2021 | 97 | 2021 |
| 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 | 80 | 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 | 74 | 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 | 65 | 2013 |
| Graph convolution machine for context-aware recommender system J Wu, X He, X Wang, Q Wang, W Chen, J Lian, X Xie Frontiers of Computer Science 16 (6), 166614, 2022 | 64 | 2022 |
| Binary codes embedding for fast image tagging with incomplete labels Q Wang, B Shen, S Wang, L Li, L Si Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 62 | 2014 |
| Ranking Preserving Hashing for Fast Similarity Search Q Wang, Z Zhang, L Si 24th International Joint Conference on Artificial Intelligence, IJCAI, 2015 | 60 | 2015 |
| 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 | 58 | 2021 |
| Lm-infinite: Simple on-the-fly length generalization for large language models C Han, Q Wang, W Xiong, Y Chen, H Ji, S Wang arXiv preprint arXiv:2308.16137, 2023 | 57 | 2023 |
| Webformer: The web-page transformer for structure information extraction Q Wang, Y Fang, A Ravula, F Feng, X Quan, D Liu Proceedings of the ACM Web Conference 2022, 3124-3133, 2022 | 57 | 2022 |
| LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis Z Gu, K Pei, Q Wang, L Si, X Zhang, D Xu | 54 | 2015 |
| Video captioning using global-local representation L Yan, S Ma, Q Wang, Y Chen, X Zhang, A Savakis, D Liu IEEE Transactions on Circuits and Systems for Video Technology 32 (10), 6642 …, 2022 | 53 | 2022 |
| MAVE: A Product Dataset for Multi-source Attribute Value Extraction L Yang, Q Wang, Z Yu, A Kulkarni, SK Sanghai, B Shu, J Elsas, B Kanagal The 15th ACM International WSDM Conference, 2022 | 51 | 2022 |
| Gl-rg: Global-local representation granularity for video captioning L Yan, Q Wang, Y Cui, F Feng, X Quan, X Zhang, D Liu International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022 | 47 | 2022 |
| Transflow: Transformer as flow learner Y Lu, Q Wang, S Ma, T Geng, YV Chen, H Chen, D Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 46 | 2023 |
| Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models Z Zhang, Y Yang, Y Dai, Q Wang, Y Yu, L Qu, Z Xu Annual Meeting of the Association of Computational Linguistics 2023, 9963-9977, 2023 | 42 | 2023 |
| LLM-Rec: Personalized Recommendation via Prompting Large Language Models H Lyu, S Jiang, H Zeng, Q Wang, Y Xia, J Luo arXiv preprint arXiv:2307.15780, 2023 | 40 | 2023 |
| Solve the puzzle of instance segmentation in videos: A weakly supervised framework with spatio-temporal collaboration L Yan, Q Wang, S Ma, J Wang, C Yu IEEE Transactions on Circuits and Systems for Video Technology 33 (1), 393-406, 2022 | 40 | 2022 |
Luo SiSalesforce, Alibaba Group Inc, Purdue Univ, Carnegie Mellon Univ在 cs.purdue.edu 的电子邮件经过验证
