The critical success factors for websites for Chinese migrant farmer workers: a multi-case study. - Fang Wang; Lihong Gu (ICEGOV, 2012)

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 (ISCIT, 2014)

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. - Li Yu; Zhengwei Wu; Tianchi Cai; Ziqi Liu; Zhiqiang Zhang 012; Lihong Gu; Xiaodong Zeng; Jinjie Gu (AAAI, 2021)

Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. - Xuanying Chen; Zhining Liu 001; Li Yu; Sen Li; Lihong Gu; Xiaodong Zeng; Yize Tan; Jinjie Gu (CIKM, 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 012; Xiaodong Zeng; Jinjie Gu (DASFAA (3), 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 (ECML/PKDD (3), 2021)

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning. - Tianchi Cai; Wenpeng Zhang 003; Lihong Gu; Xiaodong Zeng; Jinjie Gu (CoRR, 2021)

Imbalance-Aware Uplift Modeling for Observational Data. - Xuanying Chen; Zhining Liu 001; Li Yu; Liuyi Yao; Wenpeng Zhang 003; Yi Dong; Lihong Gu; Xiaodong Zeng; Yize Tan; Jinjie Gu (AAAI, 2022)

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. - Hao Qian 003; Qintong Wu; Minghao Li; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011; Lihong Gu; Jinjie Gu (CIKM, 2022)

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. - Yuzhou Cao; Tianchi Cai; Lei Feng 006; Lihong Gu; Jinjie Gu; Bo An 001; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2022)

Research on Improvement and Optimization of A* Algorithm in Robot Path Planning. - Xingjian Ji; Lihong Gu; Zhenfeng Fu; Ming Ouyang; Renti Liu (RICAI, 2022)

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. - Zhaoxin Huan; Gongduo Zhang; Xiaolu Zhang; Jun Zhou 011; Qintong Wu; Lihong Gu; Jinjie Gu; Yong He 009; Yue Zhu; Linjian Mo (SIGIR, 2022)

Scope-aware Re-ranking with Gated Attention in Feed. - Hao Qian 003; Qintong Wu; Kai Zhang 038; Zhiqiang Zhang 012; Lihong Gu; Xiaodong Zeng; Jun Zhou 011; Jinjie Gu (WSDM, 2022)

A Multi-Task Learning Approach for Delayed Feedback Modeling. - Zhigang Huangfu; Gongduo Zhang; Zhengwei Wu; Qintong Wu; Zhiqiang Zhang 012; Lihong Gu; Jun Zhou 011; Jinjie Gu (WWW (Companion Volume), 2022)

Global-Aware Model-Free Self-distillation for Recommendation System. - Ang Li; Jian Hu 002; Wei Lu 011; Ke Ding; Xiaolu Zhang; Jun Zhou 011; Yong He 009; Liang Zhang; Lihong Gu (DASFAA (4), 2023)

Multi-Objective Online Learning. - Jiyan Jiang; Wenpeng Zhang 003; Shiji Zhou; Lihong Gu; Xiaodong Zeng; Wenwu Zhu 001 (ICLR, 2023)

Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. - Tianchi Cai; Shenliao Bao; Jiyan Jiang; Shiji Zhou; Wenpeng Zhang 003; Lihong Gu; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

Alleviating Matching Bias in Marketing Recommendations. - Junpeng Fang; Qing Cui; Gongduo Zhang; Caizhi Tang; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011; Fei Wu 001 (SIGIR, 2023)

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. - Tianchi Cai; Jiyan Jiang; Wenpeng Zhang 003; Shiji Zhou; Xierui Song; Li Yu; Lihong Gu; Xiaodong Zeng; Jinjie Gu; Guannan Zhang (WSDM, 2023)

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 011 (AAAI, 2024)

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 012 (CIKM, 2024)

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. - Qian Zhao; Hao Qian 003; Ziqi Liu; Gong-Duo Zhang; Lihong Gu (CIKM, 2024)

DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. - Zhicheng An; Zhexu Gu; Li Yu; Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Lihong Gu; Jinjie Gu (KDD, 2024)

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 011 (WWW (Companion Volume), 2024)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. - Shaowei Wei; Zhengwei Wu; Xin Li 090; Qintong Wu; Zhiqiang Zhang 012; Jun Zhou 011; Lihong Gu; Jinjie Gu (WWW, 2024)

Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts. - Gong-Duo Zhang; Ruiqing Chen; Qian Zhao; Zhengwei Wu; Fengyu Han; Huan-Yi Su; Ziqi Liu; Lihong Gu; Lin Zhou (AAAI, 2025)