Članci s nalozima za javni pristup - Dugang LiuSaznajte više
Dostupno negdje: 23
A general knowledge distillation framework for counterfactual recommendation via uniform data
D Liu, P Cheng, Z Dong, X He, W Pan, Z Ming
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Nalozi: National Natural Science Foundation of China
Mitigating confounding bias in recommendation via information bottleneck
D Liu, P Cheng, H Zhu, Z Dong, X He, W Pan, Z Ming
Proceedings of the 15th ACM Conference on Recommender Systems, 351-360, 2021
Nalozi: National Natural Science Foundation of China
Spiral of silence in recommender systems
D Liu, C Lin, Z Zhang, Y Xiao, H Tong
Proceedings of the 12th ACM International Conference on Web Search and Data …, 2019
Nalozi: National Natural Science Foundation of China
KDCRec: Knowledge distillation for counterfactual recommendation via uniform data
D Liu, P Cheng, Z Lin, J Luo, Z Dong, X He, W Pan, Z Ming
IEEE Transactions on Knowledge and Data Engineering 35 (8), 8143-8156, 2022
Nalozi: National Natural Science Foundation of China
Debiased representation learning in recommendation via information bottleneck
D Liu, P Cheng, H Zhu, Z Dong, X He, W Pan, Z Ming
ACM Transactions on Recommender Systems 1 (1), 1-27, 2023
Nalozi: National Natural Science Foundation of China
Automatically inspecting thousands of static bug warnings with large language model: How far are we?
C Wen, Y Cai, B Zhang, J Su, Z Xu, D Liu, S Qin, Z Ming, C Tian
ACM Transactions on Knowledge Discovery from Data 18 (7), 168:1-168:34, 2024
Nalozi: National Natural Science Foundation of China
Explicit feature interaction-aware uplift network for online marketing
D Liu, X Tang, H Gao, F Lyu, X He
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Nalozi: National Natural Science Foundation of China
Transfer learning for collaborative recommendation with biased and unbiased data
Z Lin, D Liu, W Pan, Q Yang, Z Ming
Artificial Intelligence 324, 103992, 2023
Nalozi: National Natural Science Foundation of China
User-event graph embedding learning for context-aware recommendation
D Liu, M He, J Luo, J Lin, M Wang, X Zhang, W Pan, Z Ming
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Nalozi: National Natural Science Foundation of China
Transfer learning in collaborative recommendation for bias reduction
Z Lin, D Liu, W Pan, Z Ming
Proceedings of the 15th ACM Conference on Recommender Systems, 736-740, 2021
Nalozi: National Natural Science Foundation of China
Spiral of silence and its application in recommender systems
C Lin, D Liu, H Tong, Y Xiao
IEEE Transactions on Knowledge and Data Engineering 34 (6), 2934-2947, 2020
Nalozi: National Natural Science Foundation of China
Recommendation with social roles
D Liu, J Huang, C Lin
IEEE Access 6, 36420-36427, 2018
Nalozi: National Natural Science Foundation of China
MultiFS: Automated multi-scenario feature selection in deep recommender systems
D Liu, C Yang, X Tang, Y Wang, F Lyu, W Luo, X He, Z Ming, X Zhao
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
Nalozi: National Natural Science Foundation of China
DIWIFT: Discovering instance-wise influential features for tabular data
D Liu, P Cheng, H Zhu, X Tang, Y Chen, X Wang, W Pan, Z Ming, X He
Proceedings of the ACM Web Conference 2023, 1673-1682, 2023
Nalozi: National Natural Science Foundation of China
Bounding system-induced biases in recommender systems with a randomized dataset
D Liu, P Cheng, Z Lin, X Zhang, Z Dong, R Zhang, X He, W Pan, Z Ming
ACM Transactions on Information Systems 41 (4), 1-26, 2023
Nalozi: National Natural Science Foundation of China
Augmenting legal judgment prediction with contrastive case relations
D Liu, W Du, L Li, W Pan, Z Ming
Proceedings of the 29th International Conference on Computational …, 2022
Nalozi: National Natural Science Foundation of China
Prior-guided accuracy-bias tradeoff learning for CTR prediction in multimedia recommendation
D Liu, Y Qiao, X Tang, L Chen, X He, Z Ming
Proceedings of the 31st ACM International Conference on Multimedia, 995-1003, 2023
Nalozi: National Natural Science Foundation of China
Pairwise intent graph embedding learning for context-aware recommendation
D Liu, Y Wu, W Li, X Zhang, H Wang, Q Yang, Z Ming
Proceedings of the 17th ACM Conference on Recommender Systems, 588-598, 2023
Nalozi: National Natural Science Foundation of China
Touch the core: Exploring task dependence among hybrid targets for recommendation
X Tang, Y Qiao, F Lyu, D Liu, X He
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Nalozi: National Natural Science Foundation of China
Pairwise intent graph embedding learning for context-aware recommendation with knowledge graph
D Liu, S Xian, Y Wu, X Zhang, Z Ming
ACM Transactions on Recommender Systems, 2024
Nalozi: National Natural Science Foundation of China
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