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Lihong Gu
ORCID
Publication Activity (10 Years)
Years Active: 2012-2024
Publications (10 Years): 28
2025
2016
Top Topics
2025
2016
Function Approximation
2025
2016
Reinforcement Learning
2025
2016
Mixed Norm
2025
2016
Mobile Payment
Top Venues
CoRR
AAAI
SIGIR
WSDM
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Publications
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Junpeng Fang
,
Gongduo Zhang
,
Qing Cui
,
Lihong Gu
,
Longfei Li
,
Jinjie Gu
,
Jun Zhou
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
WWW (Companion Volume)
(2024)
Qian Zhao
,
Hao Qian
,
Ziqi Liu
,
Gong-Duo Zhang
,
Lihong Gu
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CoRR
(2024)
Junpeng Fang
,
Gongduo Zhang
,
Qing Cui
,
Caizhi Tang
,
Lihong Gu
,
Longfei Li
,
Jinjie Gu
,
Jun Zhou
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.
AAAI
(2024)
Shaowei Wei
,
Zhengwei Wu
,
Xin Li
,
Qintong Wu
,
Zhiqiang Zhang
,
Jun Zhou
,
Lihong Gu
,
Jinjie Gu
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
CoRR
(2024)
Shaowei Wei
,
Zhengwei Wu
,
Xin Li
,
Qintong Wu
,
Zhiqiang Zhang
,
Jun Zhou
,
Lihong Gu
,
Jinjie Gu
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.
WWW
(2024)
Zhicheng An
,
Zhexu Gu
,
Li Yu
,
Ke Tu
,
Zhengwei Wu
,
Binbin Hu
,
Zhiqiang Zhang
,
Lihong Gu
,
Jinjie Gu
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation.
KDD
(2024)
Tianchi Cai
,
Shenliao Bao
,
Jiyan Jiang
,
Shiji Zhou
,
Wenpeng Zhang
,
Lihong Gu
,
Jinjie Gu
,
Guannan Zhang
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
CoRR
(2023)
Ang Li
,
Jian Hu
,
Wei Lu
,
Ke Ding
,
Xiaolu Zhang
,
Jun Zhou
,
Yong He
,
Liang Zhang
,
Lihong Gu
Global-Aware Model-Free Self-distillation for Recommendation System.
DASFAA (4)
(2023)
Tianchi Cai
,
Shenliao Bao
,
Jiyan Jiang
,
Shiji Zhou
,
Wenpeng Zhang
,
Lihong Gu
,
Jinjie Gu
,
Guannan Zhang
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
SIGIR
(2023)
Jiyan Jiang
,
Wenpeng Zhang
,
Shiji Zhou
,
Lihong Gu
,
Xiaodong Zeng
,
Wenwu Zhu
Multi-Objective Online Learning.
ICLR
(2023)
Junpeng Fang
,
Qing Cui
,
Gongduo Zhang
,
Caizhi Tang
,
Lihong Gu
,
Longfei Li
,
Jinjie Gu
,
Jun Zhou
,
Fei Wu
Alleviating Matching Bias in Marketing Recommendations.
SIGIR
(2023)
Tianchi Cai
,
Jiyan Jiang
,
Wenpeng Zhang
,
Shiji Zhou
,
Xierui Song
,
Li Yu
,
Lihong Gu
,
Xiaodong Zeng
,
Jinjie Gu
,
Guannan Zhang
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.
CoRR
(2023)
Tianchi Cai
,
Jiyan Jiang
,
Wenpeng Zhang
,
Shiji Zhou
,
Xierui Song
,
Li Yu
,
Lihong Gu
,
Xiaodong Zeng
,
Jinjie Gu
,
Guannan Zhang
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.
WSDM
(2023)
Hao Qian
,
Qintong Wu
,
Minghao Li
,
Zhengwei Wu
,
Zhiqiang Zhang
,
Jun Zhou
,
Lihong Gu
,
Jinjie Gu
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.
CIKM
(2022)
Yuzhou Cao
,
Tianchi Cai
,
Lei Feng
,
Lihong Gu
,
Jinjie Gu
,
Bo An
,
Gang Niu
,
Masashi Sugiyama
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.
NeurIPS
(2022)
Zhigang Huangfu
,
Gongduo Zhang
,
Zhengwei Wu
,
Qintong Wu
,
Zhiqiang Zhang
,
Lihong Gu
,
Jun Zhou
,
Jinjie Gu
A Multi-Task Learning Approach for Delayed Feedback Modeling.
WWW (Companion Volume)
(2022)
Hao Qian
,
Qintong Wu
,
Kai Zhang
,
Zhiqiang Zhang
,
Lihong Gu
,
Xiaodong Zeng
,
Jun Zhou
,
Jinjie Gu
Scope-aware Re-ranking with Gated Attention in Feed.
WSDM
(2022)
Xingjian Ji
,
Lihong Gu
,
Zhenfeng Fu
,
Ming Ouyang
,
Renti Liu
Research on Improvement and Optimization of A* Algorithm in Robot Path Planning.
RICAI
(2022)
Xuanying Chen
,
Zhining Liu
,
Li Yu
,
Liuyi Yao
,
Wenpeng Zhang
,
Yi Dong
,
Lihong Gu
,
Xiaodong Zeng
,
Yize Tan
,
Jinjie Gu
Imbalance-Aware Uplift Modeling for Observational Data.
AAAI
(2022)
Zhaoxin Huan
,
Gongduo Zhang
,
Xiaolu Zhang
,
Jun Zhou
,
Qintong Wu
,
Lihong Gu
,
Jinjie Gu
,
Yong He
,
Yue Zhu
,
Linjian Mo
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
SIGIR
(2022)
Tianchi Cai
,
Daxi Cheng
,
Chen Liang
,
Ziqi Liu
,
Lihong Gu
,
Huizhi Xie
,
Zhiqiang Zhang
,
Xiaodong Zeng
,
Jinjie Gu
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.
CoRR
(2021)
Xuanying Chen
,
Zhining Liu
,
Li Yu
,
Sen Li
,
Lihong Gu
,
Xiaodong Zeng
,
Yize Tan
,
Jinjie Gu
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
CIKM
(2021)
Li Yu
,
Zhengwei Wu
,
Tianchi Cai
,
Ziqi Liu
,
Zhiqiang Zhang
,
Lihong Gu
,
Xiaodong Zeng
,
Jinjie Gu
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.
AAAI
(2021)
Tianchi Cai
,
Daxi Cheng
,
Chen Liang
,
Ziqi Liu
,
Lihong Gu
,
Huizhi Xie
,
Zhiqiang Zhang
,
Xiaodong Zeng
,
Jinjie Gu
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.
DASFAA (3)
(2021)
Yun Yue
,
Yongchao Liu
,
Suo Tong
,
Minghao Li
,
Zhen Zhang
,
Chunyang Wen
,
Huanjun Bao
,
Lihong Gu
,
Jinjie Gu
,
Yixiang Mu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.
CoRR
(2021)
Yun Yue
,
Yongchao Liu
,
Suo Tong
,
Minghao Li
,
Zhen Zhang
,
Chunyang Wen
,
Huanjun Bao
,
Lihong Gu
,
Jinjie Gu
,
Yixiang Mu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction.
ECML/PKDD (3)
(2021)
Tianchi Cai
,
Wenpeng Zhang
,
Lihong Gu
,
Xiaodong Zeng
,
Jinjie Gu
A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning.
CoRR
(2021)
Xuanying Chen
,
Zhining Liu
,
Li Yu
,
Sen Li
,
Lihong Gu
,
Xiaodong Zeng
,
Yize Tan
,
Jinjie Gu
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing.
CoRR
(2021)
Shuyan Ding
,
Shibao Li
,
Jianhang Liu
,
Haiyan Wang
,
Zhaozhi Gu
,
Lihong Gu
A low complexity PTS algorithm for PAPR reduction in OFDM system based on hamming distance.
ISCIT
(2014)
Fang Wang
,
Lihong Gu
The critical success factors for websites for Chinese migrant farmer workers: a multi-case study.
ICEGOV
(2012)