Dugang Liu

According to our database, Dugang Liu authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Teaching content recommendations in music appreciation courses via graph embedding learning.

Dugang Liu, Xiaolin Lin, Lingjie Li, Zishan Ming

Int. J. Mach. Learn. Cybern., September, 2024

Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?

Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian

ACM Trans. Knowl. Discov. Data, August, 2024

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma

CoRR, 2024

Masked Random Noise for Communication Efficient Federaetd Learning.

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

CoRR, 2024

Benchmarking for Deep Uplift Modeling in Online Marketing.

Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming

CoRR, 2024

A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation.

Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming

CoRR, 2024

Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms.

Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He

CoRR, 2024

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.

Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.

Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling.

Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation.

Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Masked Random Noise for Communication-Efficient Federated Learning.

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing.

Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He

Proceedings of the Database Systems for Advanced Applications, 2024

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.

Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.

Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization.

Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji, Dugang Liu, Victor C. M. Leung, Jianqiang Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Transfer learning for collaborative recommendation with biased and unbiased data.

Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming

Artif. Intell., November, 2023

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., October, 2023

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

IEEE Trans. Knowl. Data Eng., August, 2023

Debiased Representation Learning in Recommendation via Information Bottleneck.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Trans. Recomm. Syst., March, 2023

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives.

Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu

CoRR, 2023

Optimizing Feature Set for Click-Through Rate Prediction.

Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

Proceedings of the ACM Web Conference 2023, 2023

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He

Proceedings of the ACM Web Conference 2023, 2023

Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation.

Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction.

Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network.

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation.

Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Explicit Feature Interaction-aware Uplift Network for Online Marketing.

Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization.

Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.

Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Spiral of Silence and Its Application in Recommender Systems.

Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao

IEEE Trans. Knowl. Data Eng., 2022

User-Event Graph Embedding Learning for Context-Aware Recommendation.

Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback.

Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2022

ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation.

Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Augmenting Legal Judgment Prediction with Contrastive Case Relations.

Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Mitigating Confounding Bias in Recommendation via Information Bottleneck.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Transfer Learning in Collaborative Recommendation for Bias Reduction.

Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Spiral of Silence in Recommender Systems.

Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Recommendation With Social Roles.

Dugang Liu, Jie Huang, Chen Lin

IEEE Access, 2018