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Dugang Liu
Dugang Liu
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University
Verified email at email.szu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
1692020
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
732021
Large language models for generative recommendation: A survey and visionary discussions
L Li, Y Zhang, D Liu, L Chen
Proceedings of the 2024 Joint International Conference on Computational …, 2023
382023
FLEN: Leveraging field for scalable CTR prediction
W Chen, L Zhan, Y Ci, M Yang, C Lin, D Liu
Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD …, 2019
242019
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
222019
Optimizing feature set for click-through rate prediction
F Lyu, X Tang, D Liu, L Chen, X He, X Liu
Proceedings of the ACM Web Conference 2023, 3386-3395, 2023
152023
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
102022
Recommendation with social roles
D Liu, J Huang, C Lin
IEEE Access 6, 36420-36427, 2018
102018
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
92023
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
92022
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
92021
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
92020
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
82022
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
62023
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
52023
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
42023
Unbiased recommendation model based on improved propensity score estimation
J LUO, D LIU, W PAN, Z MING
Journal of Computer Applications 41 (12), 3508-3514, 2021
42021
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, 2024
32024
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
32023
Robustness-enhanced uplift modeling with adversarial feature desensitization
Z Sun, B He, M Ma, J Tang, Y Wang, C Ma, D Liu
Proceedings of the 23rd IEEE International Conference on Data Mining, 2023
22023
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