Követés
Yongchun Zhu
Yongchun Zhu
ByteDance
E-mail megerősítve itt: ict.ac.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
A comprehensive survey on transfer learning
F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He
Proceedings of the IEEE 109 (1), 43-76, 2020
60692020
Deep subdomain adaptation network for image classification
Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He
IEEE Transactions on Neural Networks and Learning Systems 32 (4), 1713-1722, 2020
8652020
Aligning domain-specific distribution and classifier for cross-domain classification from multiple sources
Y Zhu, F Zhuang, D Wang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 5989-5996, 2019
3512019
Multi-representation adaptation network for cross-domain image classification
Y Zhu, F Zhuang, J Wang, J Chen, Z Shi, W Wu, Q He
Neural Networks 119, 214-221, 2019
2372019
Personalized Transfer of User Preferences for Cross-domain Recommendation
Y Zhu, Z Tang, Y Liu, F Zhuang, R Xie, X Zhang, L Lin, Q He
Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022
1902022
MDFEND: Multi-domain fake news detection
Q Nan, J Cao, Y Zhu, Y Wang, J Li
Proceedings of the 30th ACM International Conference on Information …, 2021
1512021
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Y Zhu, R Xie, F Zhuang, K Ge, Y Sun, X Zhang, L Lin, J Cao
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
1282021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Y Zhu, K Ge, F Zhuang, R Xie, D Xi, X Zhang, L Lin, Q He
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
1182021
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
D Xi, Z Chen, P Yan, Y Zhang, Y Zhu, F Zhuang, Y Chen
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
962021
Multi-view Multi-behavior Contrastive Learning in Recommendation
Y Wu, R Xie, Y Zhu, X Ao, X Chen, X Zhang, F Zhuang, L Lin, Q He
Proceedings of the 27th International Conference on Database Systems for …, 2022
912022
Memory-guided multi-view multi-domain fake news detection
Y Zhu, Q Sheng, J Cao, Q Nan, K Shu, M Wu, J Wang, F Zhuang
IEEE Transactions on Knowledge and Data Engineering 35 (7), 7178-7191, 2022
872022
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Y Zhu, Q Sheng, J Cao, S Li, D Wang, F Zhuang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
832022
Modeling users’ behavior sequences with hierarchical explainable network for cross-domain fraud detection
Y Zhu, D Xi, B Song, F Zhuang, S Chen, X Gu, Q He
Proceedings of The Web Conference 2020, 928-938, 2020
732020
Zoom Out and Observe: News Environment Perception for Fake News Detection
Q Sheng, J Cao, X Zhang, R Li, D Wang, Y Zhu
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
692022
User-Centric Conversational Recommendation with Multi-Aspect User Modeling
S Li, R Xie, Y Zhu, X Ao, F Zhuang, Q He
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
502022
Personalized prompts for sequential recommendation
Y Wu, R Xie, Y Zhu, F Zhuang, X Zhang, L Lin, Q He
IEEE Transactions on Knowledge and Data Engineering, 2022
492022
Selective Fairness in Recommendation via Prompts
Y Wu, R Xie, Y Zhu, F Zhuang, X Ao, X Zhang, L Lin, Q He
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
472022
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
Y Zhu, Y Liu, R Xie, F Zhuang, X Hao, K Ge, X Zhang, L Lin, J Cao
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
442021
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Z Tang, S Pei, Z Zhang, Y Zhu, F Zhuang, R Hoehndorf, X Zhang
Proceedings of the 31st International Joint Conference on Artificial …, 2022
352022
Improving Fake News Detection of Influential Domain via Domain-and Instance-Level Transfer
Q Nan, D Wang, Y Zhu, Q Sheng, Y Shi, J Cao, J Li
Proceedings of the 29th International Conference on Computational Linguistics, 2022
262022
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