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2020 – today
- 2024
[c24]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: 11944-11952- [c23]Zhigang Huangfu
, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang:
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. CIKM 2024: 4579-4586 - [c22]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. CIKM 2024: 5086-5093 - [c21]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: 4764-4773 - [c20]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: 93-102 - [c19]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: 3767-3776 - [i8]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 abs/2402.13750 (2024) - [i7]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 abs/2404.07219 (2024) - 2023
- [c18]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: 515-518 - [c17]Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu:
Multi-Objective Online Learning. ICLR 2023 - [c16]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: 2179-2183 - [c15]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: 3359-3363 - [c14]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: 186-194 - [i6]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 abs/2308.13246 (2023) - [i5]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 abs/2309.02669 (2023) - 2022
- [c13]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: 6313-6321 - [c12]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: 4404-4408 - [c11]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 - [c10]Xingjian Ji, Lihong Gu, Zhenfeng Fu, Ming Ouyang, Renti Liu:
Research on Improvement and Optimization of A* Algorithm in Robot Path Planning. RICAI 2022: 165-169 - [c9]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: 3403-3407 - [c8]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: 804-812 - [c7]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: 116-120 - 2021
- [c6]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: 15000-15007 - [c5]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: 2940-2944 - [c4]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: 499-510 - [c3]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: 314-329 - [i4]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 abs/2102.01902 (2021) - [i3]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 abs/2107.14432 (2021) - [i2]Tianchi Cai, Wenpeng Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu:
A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning. CoRR abs/2108.12916 (2021) - [i1]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 abs/2112.15434 (2021)
2010 – 2019
- 2014
- [c2]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: 499-502 - 2012
- [c1]Fang Wang, Lihong Gu:
The critical success factors for websites for Chinese migrant farmer workers: a multi-case study. ICEGOV 2012: 95-104
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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