Yun He
Yun He
Research Scientist at Meta AI
Verified email at - Homepage
Cited by
Cited by
Infusing disease knowledge into BERT for health question answering, medical inference and disease name recognition
Y He, Z Zhu, Y Zhang, Q Chen, J Caverlee
arXiv preprint arXiv:2010.03746, 2020
Popularity-opportunity bias in collaborative filtering
Z Zhu, Y He, X Zhao, Y Zhang, J Wang, J Caverlee
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
ECNU at 2015 CDS track: two re-ranking methods in medical information retrieval
Y Song, Y He, Q Hu, L He
Proceedings of the 2015 Text Retrieval Conference, 2015
ECNU at TREC 2014: Clinical decision support track
M Li, Y Song, Y He, Q Hu, L He, EM Haacke
Text Retrieval Conference (TREC 2014), 2014
Item relationship graph neural networks for E-commerce
W Liu, Y Zhang, J Wang, Y He, J Caverlee, PPK Chan, DS Yeung, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4785-4799, 2021
Unbiased implicit recommendation and propensity estimation via combinational joint learning
Z Zhu, Y He, Y Zhang, J Caverlee
Proceedings of the 14th ACM Conference on Recommender Systems, 551-556, 2020
Content-collaborative disentanglement representation learning for enhanced recommendation
Y Zhang, Z Zhu, Y He, J Caverlee
Proceedings of the 14th ACM Conference on Recommender Systems, 43-52, 2020
A hierarchical self-attentive model for recommending user-generated item lists
Y He, J Wang, W Niu, J Caverlee
Proceedings of the 28th ACM international conference on information and …, 2019
Popularity bias in dynamic recommendation
Z Zhu, Y He, X Zhao, J Caverlee
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Consistency-aware recommendation for user-generated item list continuation
Y He, Y Zhang, W Liu, J Caverlee
Proceedings of the 13th international conference on web search and data …, 2020
ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval.
Y Song, Y He, Q Hu, L He, EM Haacke
CLEF (Working Notes), 2015
Hyperprompt: Prompt-based task-conditioning of transformers
Y He, S Zheng, Y Tay, J Gupta, Y Du, V Aribandi, Z Zhao, YG Li, Z Chen, ...
International Conference on Machine Learning, 8678-8690, 2022
PARADE: A new dataset for paraphrase identification requiring computer science domain knowledge
Y He, Z Wang, Y Zhang, R Huang, J Caverlee
arXiv preprint arXiv:2010.03725, 2020
Adaptive hierarchical translation-based sequential recommendation
Y Zhang, Y He, J Wang, J Caverlee
Proceedings of the Web Conference 2020, 2984-2990, 2020
ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval.
Y Song, Y He, H Liu, Y Wang, Q Hu, L He, G Luo
CLEF (Working Notes), 157-161, 2016
Metabalance: improving multi-task recommendations via adapting gradient magnitudes of auxiliary tasks
Y He, X Feng, C Cheng, G Ji, Y Guo, J Caverlee
Proceedings of the ACM Web Conference 2022, 2205-2215, 2022
Pseudo-implicit feedback for alleviating data sparsity in top-k recommendation
Y He, H Chen, Z Zhu, J Caverlee
2018 IEEE International Conference on Data Mining (ICDM), 1025-1030, 2018
Estimating probability density of content types for promoting medical records search
Y He, Q Hu, Y Song, L He
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016
ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval.
H Liu, Y Song, Y He, Y Wang, Q Hu, L He
TREC, 2016
Self-attention based network for medical query expansion
S Chen, QV Hu, Y Song, Y He, H Wu, L He
2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019
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