Követés
Qifan Wang
Qifan Wang
Research Scientist, Meta AI
E-mail megerősítve itt: fb.com - Kezdőlap
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Hivatkozott rá
Hivatkozott rá
Év
The llama 3 herd of models
A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ...
arXiv preprint arXiv:2407.21783, 2024
3851*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
25592020
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
429*2020
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
arXiv preprint arXiv:2308.16137, 2023
170*2023
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
1562021
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
1132023
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
1012020
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
992022
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
922023
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
912023
Collm: Integrating collaborative embeddings into large language models for recommendation
Y Zhang, F Feng, J Zhang, K Bao, Q Wang, X He
IEEE Transactions on Knowledge and Data Engineering, 2025
902025
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
852022
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
842023
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
832023
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
792022
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
782023
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
762014
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
722021
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
692022
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
662013
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