default search action
Dugang Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j8]Dugang Liu, Xiaolin Lin, Lingjie Li, Zishan Ming:
Teaching content recommendations in music appreciation courses via graph embedding learning. Int. J. Mach. Learn. Cybern. 15(9): 3847-3862 (2024) - [j7]Cheng Wen
, Yuandao Cai
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? ACM Trans. Knowl. Discov. Data 18(7): 168 (2024) - [c26]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: 1-8 - [c25]Yunpeng Weng
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CIKM 2024: 2523-2533 - [c24]Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen:
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. LREC/COLING 2024: 10146-10159 - [c23]Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He:
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. DASFAA (7) 2024: 121-138 - [c22]Shiwei Li
Masked Random Noise for Communication-Efficient Federated Learning. ACM Multimedia 2024: 3686-3694 - [c21]Xing Tang
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys 2024: 329-339 - [c20]Zexu Sun
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. RecSys 2024: 560-569 - [c19]Dugang Liu
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR 2024: 956-965 - [c18]Dugang Liu
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - [i18]Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He:
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. CoRR abs/2401.01525 (2024) - [i17]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR abs/2403.17442 (2024) - [i16]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 abs/2406.00333 (2024) - [i15]Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR abs/2406.00335 (2024) - [i14]Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li:
Masked Random Noise for Communication Efficient Federaetd Learning. CoRR abs/2408.03220 (2024) - [i13]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CoRR abs/2408.08585 (2024) - [i12]Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He:
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. CoRR abs/2408.11623 (2024) - [i11]Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma:
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. CoRR abs/2410.12229 (2024) - 2023
- [j6]Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - [j5]Dugang Liu
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - [j4]Dugang Liu
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - [j3]Dugang Liu
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1(1): 1-27 (2023) - [c17]Dugang Liu, Yang Qiao, Xing Tang
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) 2023: 580-592 - [c16]Zexu Sun, Bowei He
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM 2023: 1325-1330 - [c15]Dugang Liu
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD 2023: 4507-4515 - [c14]Dugang Liu
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia 2023: 995-1003 - [c13]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 - [c12]Xing Tang
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) 2023: 567-584 - [c11]Dugang Liu
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. RecSys 2023: 588-598 - [c10]Dugang Liu
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW 2023: 1673-1682 - [c9]Fuyuan Lyu
Optimizing Feature Set for Click-Through Rate Prediction. WWW 2023: 3386-3395 - [i10]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. CoRR abs/2301.10909 (2023) - [i9]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 abs/2302.02241 (2023) - [i8]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 abs/2302.03419 (2023) - [i7]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 abs/2303.11574 (2023) - [i6]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR abs/2306.00315 (2023) - [i5]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR abs/2306.13382 (2023) - [i4]Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen:
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. CoRR abs/2309.01157 (2023) - [i3]Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu:
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. CoRR abs/2310.04693 (2023) - [i2]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 abs/2310.15342 (2023) - 2022
- [j2]Chen Lin
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2934-2947 (2022) - [c8]Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming:
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING 2022: 2658-2667 - [c7]Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming:
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA 2022: 1-9 - [c6]Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN 2022: 1-8 - [c5]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: 1051-1059 - [i1]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 abs/2207.02773 (2022) - 2021
- [c4]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [c3]Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming:
Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys 2021: 736-740 - 2020
- [c2]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: 831-840
2010 – 2019
- 2019
- [c1]Dugang Liu, Chen Lin, Zhilin Zhang
Spiral of Silence in Recommender Systems. WSDM 2019: 222-230 - 2018
- [j1]Dugang Liu, Jie Huang, Chen Lin
Recommendation With Social Roles. IEEE Access 6: 36420-36427 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: