| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2833* | 2024 |
| 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 | 2483 | 2020 |
| ETC: Encoding long and structured inputs in transformers A Ravula, C Alberti, J Ainslie, L Yang, PM Pham, Q Wang, S Ontanon, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 418* | 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 | 149 | 2021 |
| LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models C Han, Q Wang, H Peng, W Xiong, Y Chen, H Ji, S Wang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 148* | 2024 |
| 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 | 98 | 2020 |
| 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 | 97 | 2022 |
| 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 | 92 | 2023 |
| 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 | 89 | 2023 |
| Collm: Integrating collaborative embeddings into large language models for recommendation Y Zhang, F Feng, J Zhang, K Bao, Q Wang, X He arXiv preprint arXiv:2310.19488, 2023 | 88 | 2023 |
| 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 | 83 | 2022 |
| 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 | 79 | 2023 |
| 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 | 76 | 2014 |
| 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 | 75 | 2022 |
| E^ 2VPT: An Effective and Efficient Approach for Visual Prompt Tuning C Han, Q Wang, Y Cui, Z Cao, W Wang, S Qi, D Liu arXiv preprint arXiv:2307.13770, 2023 | 74 | 2023 |
| Attack prompt generation for red teaming and defending large language models B Deng, W Wang, F Feng, Y Deng, Q Wang, X He arXiv preprint arXiv:2310.12505, 2023 | 71 | 2023 |
| Mart: Improving llm safety with multi-round automatic red-teaming S Ge, C Zhou, R Hou, M Khabsa, YC Wang, Q Wang, J Han, Y Mao arXiv preprint arXiv:2311.07689, 2023 | 70 | 2023 |
| 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 | 70 | 2021 |
| 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 | 67 | 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 | 66 | 2014 |
Dongfang LiuRochester Institute of TechnologyVerified email at rit.edu
