Lihong Gu

According to our database, Lihong Gu authored at least 21 papers between 2012 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.

Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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, 2023

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, 2023

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, 2023

Multi-Objective Online Learning.

Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Global-Aware Model-Free Self-distillation for Recommendation System.

Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Research on Improvement and Optimization of A* Algorithm in Robot Path Planning.

Xingjian Ji, Lihong Gu, Zhenfeng Fu, Ming Ouyang, Renti Liu

Proceedings of the 4th International Conference on Robotics, 2022

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.

Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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, 2022

Imbalance-Aware Uplift Modeling for Observational Data.

Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning.

Tianchi Cai, Wenpeng Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

CoRR, 2021

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.

Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.

Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu

Proceedings of the Database Systems for Advanced Applications, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.

Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2014

A low complexity PTS algorithm for PAPR reduction in OFDM system based on hamming distance.

Shuyan Ding, Shibao Li, Jianhang Liu, Haiyan Wang, Zhaozhi Gu, Lihong Gu

Proceedings of the 14th International Symposium on Communications and Information Technologies, 2014

2012

The critical success factors for websites for Chinese migrant farmer workers: a multi-case study.

Fang Wang, Lihong Gu

Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance, 2012