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2020 – today
- 2024
[c50]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- [c49]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: 16067-16075 - [c48]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: 19189-19196 - [c47]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: 3235-3252 - [c46]Songhao Wu
, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan:
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. CIKM 2024: 2564-2574 - [c45]Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu:
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. CIKM 2024: 4718-4725 - [c44]Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang:
Editing Conceptual Knowledge for Large Language Models. EMNLP (Findings) 2024: 706-724 - [c43]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. EMNLP (Findings) 2024: 7813-7835 - [c42]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: 199-210 - [c41]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 - [c40]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: 5218-5229 - [c39]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: 5466-5475 - [c38]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: 5860-5871 - [c37]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: 6344-6355 - [c36]Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin:
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. RecSys 2024: 591-600 - [c35]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: 1232-1241 - [c34]Yuchen Hu, Changqing Zhu, Na Ren, Jinjie Gu:
Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features. SpatialDI 2024: 319-332 - [c33]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 - [c32]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: 235-244 - [c31]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 - [i44]Chengyue Yu, Lei Zang, Jiaotuan Wang, Chenyi Zhuang, Jinjie Gu:
Token-free LLMs Can Generate Chinese Classical Poetry with More Accurate Format. CoRR abs/2401.03512 (2024) - [i43]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 abs/2401.04319 (2024) - [i42]Haowen Wang, Tao Sun, Kaixiang Ji, Jian Wang, Cong Fan, Jinjie Gu:
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy. CoRR abs/2401.10559 (2024) - [i41]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 abs/2402.00390 (2024) - [i40]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 abs/2402.00893 (2024) - [i39]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. CoRR abs/2402.03190 (2024) - [i38]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 abs/2402.03628 (2024) - [i37]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 abs/2402.14840 (2024) - [i36]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 abs/2403.03101 (2024) - [i35]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 abs/2403.06259 (2024) - [i34]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 abs/2403.16446 (2024) - [i33]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) - [i32]Yao Zhao, Zhining Liu, Tianchi Cai, Haipeng Zhang, Chenyi Zhuang, Jinjie Gu:
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction. CoRR abs/2405.18971 (2024) - [i31]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 abs/2405.19893 (2024) - [i30]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 abs/2406.03712 (2024) - [i29]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 abs/2406.13779 (2024) - [i28]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 abs/2406.14282 (2024) - [i27]Xiaohan Wang, Xiaoyan Yang, Yuqi Zhu, Yue Shen, Jian Wang, Peng Wei, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang:
RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment. CoRR abs/2408.12579 (2024) - [i26]Yanchu Guan, Dong Wang, Yan Wang, Haiqing Wang, Renen Sun, Chenyi Zhuang, Jinjie Gu, Zhixuan Chu:
Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration. CoRR abs/2410.22916 (2024) - 2023
- [c30]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: 3248-3254 - [c29]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: 6103-6111 - [c28]Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang:
Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. SIGIR 2023: 1894-1898 - [c27]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 - [c26]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 - [c25]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: 3364-3368 - [c24]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 - [c23]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: 361-365 - [i25]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 abs/2305.18780 (2023) - [i24]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 abs/2308.10835 (2023) - [i23]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 abs/2308.10837 (2023) - [i22]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) - [i21]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:
AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR abs/2308.16437 (2023) - [i20]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) - [i19]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 abs/2311.08263 (2023) - [i18]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 abs/2311.08719 (2023) - [i17]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 abs/2312.01040 (2023) - [i16]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 abs/2312.02554 (2023) - [i15]Haowen Wang, Tao Sun, Cong Fan, Jinjie Gu:
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning. CoRR abs/2312.03248 (2023) - [i14]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 abs/2312.05276 (2023) - [i13]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 abs/2312.05795 (2023) - [i12]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 abs/2312.06677 (2023) - [i11]Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang:
Multiple Instance Learning for Uplift Modeling. CoRR abs/2312.09639 (2023) - [i10]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 abs/2312.09785 (2023) - [i9]Yao Zhao, Zhitian Xie, Chenyi Zhuang, Jinjie Gu:
Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy. CoRR abs/2312.12728 (2023) - [i8]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 abs/2312.16176 (2023) - 2022
- [c22]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 - [c21]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: 4299-4303 - [c20]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 - [c19]Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang:
Multiple Instance Learning for Uplift Modeling. CIKM 2022: 4727-4731 - [c18]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: 3254-3267 - [c17]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: 1224-1232 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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
- [c11]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 - [c10]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 - [c9]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: 3278-3282 - [c8]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 - [c7]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: 3399-3405 - [c6]Jiyan Jiang, Wenpeng Zhang, Jinjie Gu, Wenwu Zhu:
Asynchronous Decentralized Online Learning. NeurIPS 2021: 20185-20196 - [c5]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 - [i7]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) - [i6]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 abs/2105.11537 (2021) - [i5]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) - [i4]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 abs/2108.12100 (2021) - [i3]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) - [i2]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) - 2020
- [c4]Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He:
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI 2020: 4973-4980 - [c3]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: 2629-2636 - [c2]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: 2455-2463 - [i1]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 abs/2003.01515 (2020)
2010 – 2019
- 2019
- [c1]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: 2577-2584
Coauthor Index
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