Lihong Gu

2024

doi dblp
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
Zhigang Huangfu|Binbin Hu|Zhengwei Wu|Fengyu Han|Gong-Duo Zhang|Lihong Gu|Zhiqiang Zhang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
Qian Zhao|Hao Qian|Ziqi Liu|Gong-Duo Zhang|Lihong Gu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
Shaowei Wei|Zhengwei Wu|Xin Li|Qintong Wu|Zhiqiang Zhang|Jun Zhou|Lihong Gu|Jinjie Gu
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi dblp
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Junpeng Fang|Gongduo Zhang|Qing Cui|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
Tianchi Cai|Shenliao Bao|Jiyan Jiang|Shiji Zhou|Wenpeng Zhang|Lihong Gu|Jinjie Gu|Guannan Zhang
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
Alleviating Matching Bias in Marketing Recommendations.
Junpeng Fang|Qing Cui|Gongduo Zhang|Caizhi Tang|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou|Fei Wu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.
Tianchi Cai|Jiyan Jiang|Wenpeng Zhang|Shiji Zhou|Xierui Song|Li Yu|Lihong Gu|Xiaodong Zeng|Jinjie Gu|Guannan Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

2022

doi dblp
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.
Hao Qian|Qintong Wu|Minghao Li|Zhengwei Wu|Zhiqiang Zhang|Jun Zhou|Lihong Gu|Jinjie Gu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Zhaoxin Huan|Gongduo Zhang|Xiaolu Zhang|Jun Zhou|Qintong Wu|Lihong Gu|Jinjie Gu|Yong He|Yue Zhu|Linjian Mo
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi dblp
Scope-aware Re-ranking with Gated Attention in Feed.
Hao Qian|Qintong Wu|Kai Zhang|Zhiqiang Zhang|Lihong Gu|Xiaodong Zeng|Jun Zhou|Jinjie Gu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
doi dblp
A Multi-Task Learning Approach for Delayed Feedback Modeling.
Zhigang Huangfu|Gongduo Zhang|Zhengwei Wu|Qintong Wu|Zhiqiang Zhang|Lihong Gu|Jun Zhou|Jinjie Gu
Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022

2021

doi dblp
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
Xuanying Chen|Zhining Liu|Li Yu|Sen Li|Lihong Gu|Xiaodong Zeng|Yize Tan|Jinjie Gu
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021