Dugang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Topics

Information Bottleneck

Online Marketing

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR (2024)
Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. CoRR (2024)
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM (2024)
Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. LREC/COLING (2024)
Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR (2024)
Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji, Dugang Liu, Victor C. M. Leung, Jianqiang Li
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization. CEC (2024)
Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. CoRR (2024)
Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR (2024)
Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1 (1) (2023)
Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324 (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) (2023)
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41 (4) (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) (2023)
Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. CoRR (2023)
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS (2023)
Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. RecSys (2023)
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. CoRR (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
Optimizing Feature Set for Click-Through Rate Prediction. WWW (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
Optimizing Feature Set for Click-Through Rate Prediction. CoRR (2023)
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR (2023)
Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
User-Event Graph Embedding Learning for Context-Aware Recommendation. KDD (2022)
Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING (2022)
Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA (2022)
Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN (2022)
Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR (2022)
Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming
Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys (2021)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys (2021)
Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR (2020)
Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong
Spiral of Silence in Recommender Systems. WSDM (2019)
Dugang Liu, Jie Huang, Chen Lin
Recommendation With Social Roles. IEEE Access 6 (2018)