Dugang Liu

2026

Automated Information Flow Selection for Multi-scenario Multi-task Recommendation.

Chaohua Yang|Dugang Liu|Shiwei Li|Yuwen Fu|Xing Tang|Weihong Luo|Xiangyu Zhao|Xiuqiang He|Zhong Ming

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA.

Xing Tang|Hao Chen|Shiwei Li|Fuyuan Lyu|Weijie Shi|Lingjie Li|Dugang Liu|Weihong Luo|Xiku Du|Xiuqiang He

Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems.

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

Multi-scenario Instance Embedding Learning for Deep Recommender Systems.

Chaohua Yang|Dugang Liu|Xing Tang|Yuwen Fu|Xiuqiang He|Xiangyu Zhao|Zhong Ming

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models.

Kexin Zhang|Fuyuan Lyu|Xing Tang|Dugang Liu|Chen Ma|Kaize Ding|Xiuqiang He|Xue Liu

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

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, CIKM 2024, Boise, ID, USA, October 21-25, 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, SIGIR 2024, Washington DC, USA, July 14-18, 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, WSDM 2024, Merida, Mexico, March 4-8, 2024

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 Transactions on Information Systems (TOIS) 2023 Volume 41 Issue 4

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, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 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, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

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, SIGIR 2020, Virtual Event, China, July 25-30, 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, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019