Jinjie Gu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 87

Top Topics

Analogical Reasoning

Question Answer

Top Venues

Publications

Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xianguo Lyu, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. CoRR (2024)
Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. KDD (2024)
Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. KDD (2024)
Yao Zhao, Zhitian Xie, Chen Liang, Chenyi Zhuang, Jinjie Gu
Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy. KDD (2024)
Yao Zhao, Zhining Liu, Tianchi Cai, Haipeng Zhang, Chenyi Zhuang, Jinjie Gu
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction. CoRR (2024)
Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Ziqi Liu, Wen Zhang, Jinjie Gu, Zhiqiang Zhang
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. CoRR (2024)
Tianchi Cai, Zhiwen Tan, Xierui Song, Tao Sun, Jiyan Jiang, Yunqi Xu, Yinger Zhang, Jinjie Gu
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering. CoRR (2024)
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)
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)
Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR (2024)
Congyun Jin, Ming Zhang, Xiaowei Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. CoRR (2024)
Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. CoRR (2024)
Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. CoRR (2024)
Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. WWW (Companion Volume) (2024)
Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. 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)
Xiaohan Wang, Shengyu Mao, Ningyu Zhang, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
Editing Conceptual Knowledge for Large Language Models. CoRR (2024)
Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu
Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. CoRR (2024)
Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
Unified Hallucination Detection for Multimodal Large Language Models. ACL (1) (2024)
Yuchen Hu, Changqing Zhu, Na Ren, Jinjie Gu
Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features. SpatialDI (2024)
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI (2024)
Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. AAAI (2024)
Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR (2024)
Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. CoRR (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)
Haowen Wang, Tao Sun, Kaixiang Ji, Jian Wang, Cong Fan, Jinjie Gu
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy. CoRR (2024)
Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Jinjie Gu, Huajun Chen
Unified Hallucination Detection for Multimodal Large Language Models. CoRR (2024)
Tianchi Cai, Zhiwen Tan, Xierui Song, Tao Sun, Jiyan Jiang, Yunqi Xu, Yinger Zhang, Jinjie Gu
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering. KDD (2024)
Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. KDD (2024)
Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR (2024)
Chengyue Yu, Lei Zang, Jiaotuan Wang, Chenyi Zhuang, Jinjie Gu
Token-free LLMs Can Generate Chinese Classical Poetry with More Accurate Format. CoRR (2024)
Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE (2023)
Hongxuan Zhang, Zhining Liu, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster. CoRR (2023)
Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang
From Beginner to Expert: Modeling Medical Knowledge into General LLMs. CoRR (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. CoRR (2023)
Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR (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)
Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang
Multiple Instance Learning for Uplift Modeling. CoRR (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)
Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. SIGIR (2023)
Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. CoRR (2023)
Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. CoRR (2023)
Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup. CoRR (2023)
Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR (2023)
Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang
Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW (Companion Volume) (2023)
Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang
RJUA-QA: A Comprehensive QA Dataset for Urology. 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. CoRR (2023)
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR (2023)
Yao Zhao, Zhitian Xie, Chenyi Zhuang, Jinjie Gu
Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy. CoRR (2023)
Tianchi Cai, Xierui Song, Jiyan Jiang, Fei Teng, Jinjie Gu, Guannan Zhang
ULMA: Unified Language Model Alignment with Demonstration and Point-wise Human Preference. CoRR (2023)
Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang
Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. SIGIR (2023)
Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. IJCAI (2023)
Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. CoRR (2023)
Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang
C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. 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)
Haowen Wang, Tao Sun, Cong Fan, Jinjie Gu
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning. CoRR (2023)
Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, Chenyi Zhuang
Intelligent Virtual Assistants with LLM-based Process Automation. CoRR (2023)
Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang
See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. CIKM (2022)
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)
Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE (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)
Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang
Multiple Instance Learning for Uplift Modeling. CIKM (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)
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)
Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. NeurIPS (2022)
Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. KDD (2022)
Yitao Shen, Yue Wang, Xingyu Lu, Feng Qi, Jia Yan, Yixiang Mu, Yao Yang, Yifan Peng, Jinjie Gu
A framework for massive scale personalized promotion. CoRR (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. CoRR (2021)
Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong
User Retention: A Causal Approach with Triple Task Modeling. IJCAI (2021)
Jiyan Jiang, Wenpeng Zhang, Jinjie Gu, Wenwu Zhu
Asynchronous Decentralized Online Learning. NeurIPS (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)
Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. 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)
Shiwei Lyu, Shuai Ling, Kaihao Guo, Haipeng Zhang, Kunpeng Zhang, Suting Hong, Qing Ke, Jinjie Gu
Graph Neural Network Based VC Investment Success 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. 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)
Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD (2020)
Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI (2020)
Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang
Two-Stage Audience Expansion for Financial Targeting in Marketing. CIKM (2020)
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR (2020)
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM (2019)