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Lei Guo 0008
Person information
- unicode name: 郭磊
- affiliation: Shandong Normal University, School of Management Science and Industrial Engineering, Jinan, China
- affiliation (PhD 2015): Shandong University, School of Computer Science and Technology, Jinan, China
Other persons with the same name
- Lei Guo — disambiguation page
- Lei Guo 0001 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science / Institute of Systems Science, Beijing, China
- Lei Guo 0002 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Lei Guo 0003 — Beihang University, School of Automation and Electronic Engineering (and 2 more)
- Lei Guo 0004 — Google Inc., Mountain View, CA, USA (and 1 more)
- Lei Guo 0005 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 2 more)
- Lei Guo 0006 — U.S. Food and Drug Administration, National Center for Toxicological Research, Jefferson, AR, USA
- Lei Guo 0007 — University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Lei Guo 0009 — Southwest Jiaotong University, Chengdu, China
- Lei Guo 0010 — Shenyang Jianzhu University, School of Mechanical Engineering, China
- Lei Guo 0011 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Beijing, China (and 1 more)
- Lei Guo 0012 — Dalian University of Technology, School of Information and Communication Engineering, China (and 2 more)
- Lei Guo 0013 — Chang'an University, MOE Key Laboratory of Road Construction Technology and Equipment, Xi'an, China (and 1 more)
- Lei Guo 0014 — Wuhan University, School of Geodesy and Geomatics, China
- Lei Guo 0015 — Hebei University of Technology, School of Electrical Engineering, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China
- Lei Guo 0016 — Shanghai Jiao Tong University, Sino-US Global Logistics Institute, China (and 2 more)
- Lei Guo 0017 — Boston University, Department of Computer Science, College of Communication, MA, USA
- Lei Guo 0018 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Lei Guo 0019 — Taiyuan University of Technology, College of Information and Computer, Taiyuan, China
- Lei Guo 0020 — Wuyi University, Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry, Nanping, China (and 1 more)
- Lei Guo 0021 — University of Jinan, School of Information Science and Engineering, Jinan, China
- Lei Guo 0022 — East China University of Science and Technology, School of Business, Shanghai, China
- Lei Guo 0023 — Zhengzhou University, School of Mechanical and Power Engineering, Zhengzhou, China
- Lei Guo 0024 — Tianjin University, Department of Communication Engineering, Tianjin, China
- Lei Guo 0025 — State Grid Henan Electric Power Research Institute, Zhengzhou, China
- Lei Guo 0026 — Central South University, School of Geosciences and Info-Physics, Laboratory of GeoHazards Perception, Cognition and Predication, Changsha, China
- Lei Guo 0027 — Beijing Institute of Pharmacology and Toxicology, Beijing, China
- Lei Guo 0028 — University of Pittsburgh, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- Lei Guo 0029 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Lei Guo 0030 — Chinese Academy of Sciences, Institute of Electronics, Department of Space Microwave Remote Sensing System, Beijing, China
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2020 – today
- 2025
- [j29]Linlin Ren, Lei Guo, Hui Yu, Feng Guo, Xinhua Wang, Xiaohui Han:
Collaborating with top scientists may not improve paper novelty: A causal analysis based on the propensity score matching method. J. Informetrics 19(1): 101609 (2025) - 2024
- [j28]Qiuling Liu, Lei Guo, Yiping Sun, Linlin Ren, Xinhua Wang, Xiaohui Han:
Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis. J. Informetrics 18(1): 101487 (2024) - [j27]Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 439-450 (2024) - [j26]Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin:
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4002-4016 (2024) - [j25]Lei Guo, Hao Liu, Lei Zhu, Weili Guan, Zhiyong Cheng:
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(2): 48:1-48:27 (2024) - [j24]Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin:
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 97:1-97:24 (2024) - [c16]Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin:
Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation. CIKM 2024: 3290-3299 - [c15]Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo:
Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network. ICIC (4) 2024: 25-36 - [c14]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM 2024: 257-265 - [c13]Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW 2024: 3139-3149 - [i11]Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin:
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. CoRR abs/2401.08228 (2024) - [i10]Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. CoRR abs/2401.14678 (2024) - 2023
- [j23]Tengshuo Song, Feng Guo, Haoran Jiang, Wenyun Ma, Zhenbao Feng, Lei Guo:
HGAT-BR: Hyperedge-based graph attention network for basket recommendation. Appl. Intell. 53(2): 1435-1451 (2023) - [j22]Xinhua Wang, Linzhao Jia, Lei Guo, Fangai Liu:
Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation. Appl. Intell. 53(10): 11951-11965 (2023) - [j21]Xinhua Wang, Shasha Zhao, Lei Guo, Lei Zhu, Chaoran Cui, Liancheng Xu:
GraphCA: Learning from Graph Counterfactual Augmentation for Knowledge Tracing. IEEE CAA J. Autom. Sinica 10(11): 2108-2123 (2023) - [j20]Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin:
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(7): 7397-7411 (2023) - [c12]Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang:
Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network. DASFAA (2) 2023: 205-220 - [c11]Liancheng Xu, Xiaoxiang Wang, Lei Guo, Jinyu Zhang, Xiaoqi Wu, Xinhua Wang:
Candidate-Aware Dynamic Representation for News Recommendation. ICANN (7) 2023: 272-284 - [i9]Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang:
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network. CoRR abs/2302.03221 (2023) - [i8]Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin:
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation. CoRR abs/2304.04218 (2023) - [i7]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR abs/2310.13303 (2023) - 2022
- [j19]Hongfei Guo, Xiaomei Yu, Xinhua Wang, Lei Guo, Liancheng Xu, Ran Lu:
Discovering Knowledge-Point Importance From the Learning-Evaluation Data. Int. J. Distance Educ. Technol. 20(1): 1-20 (2022) - [j18]Chengmei Peng, Lei Zhu, Yang Xu, Yaping Li, Lei Guo:
Binary multi-modal matrix factorization for fast item cold-start recommendation. Neurocomputing 507: 145-156 (2022) - [j17]Xinhua Wang, Wenyun Ma, Lei Guo, Haoran Jiang, Fangai Liu, Changdi Xu:
HGNN: Hyperedge-based graph neural network for MOOC Course Recommendation. Inf. Process. Manag. 59(3): 102938 (2022) - [j16]Lingxu Fan, Lei Guo, Xinhua Wang, Liancheng Xu, Fangai Liu:
Does the author's collaboration mode lead to papers' different citation impacts? An empirical analysis based on propensity score matching. J. Informetrics 16(4): 101350 (2022) - [j15]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. 40(1): 3:1-3:27 (2022) - [c10]Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang:
Long- and Short-term Attention Network for Knowledge Tracing. IJCNN 2022: 1-9 - [i6]Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin:
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation. CoRR abs/2206.08050 (2022) - [i5]Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin:
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation. CoRR abs/2206.08088 (2022) - 2021
- [j14]Xinhua Wang, Yuchen Wang, Lei Guo, Liancheng Xu, Baozhong Gao, Fangai Liu, Wei Li:
Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library. Inf. 12(5): 198 (2021) - [c9]Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CIKM 2021: 2557-2567 - [c8]Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin:
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. IJCAI 2021: 2483-2489 - [i4]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. CoRR abs/2103.13506 (2021) - [i3]Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin:
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. CoRR abs/2105.03300 (2021) - [i2]Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction. CoRR abs/2107.10424 (2021) - [i1]Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CoRR abs/2109.04200 (2021) - 2020
- [j13]Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu:
Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization. Complex. 2020: 1401236:1-1401236:15 (2020) - [j12]Xinhua Wang, Xuemeng Yu, Lei Guo, Fangai Liu, Liancheng Xu:
Student Performance Prediction with Short-Term Sequential Campus Behaviors. Inf. 11(4): 201 (2020) - [c7]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132
2010 – 2019
- 2019
- [j11]Xinhua Wang, Xinxin Yang, Lei Guo, Yu Han, Fangai Liu, Baozhong Gao:
Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation. IEEE Access 7: 82826-82837 (2019) - [j10]Lei Guo, Haoran Jiang, Xiyu Liu, Changming Xing:
Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks. Complex. 2019: 3574194:1-3574194:18 (2019) - [j9]Xinhua Wang, Peng Yin, Yukai Gao, Lei Guo:
A Dynamic Recommender System with Fused Time and Location Factors. J. Adv. Comput. Intell. Intell. Informatics 23(1): 25-33 (2019) - [j8]Lei Guo, Yufei Wen, Fangai Liu:
Location perspective-based neighborhood-aware POI recommendation in location-based social networks. Soft Comput. 23(22): 11935-11945 (2019) - [c6]Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung:
Streaming Session-based Recommendation. KDD 2019: 1569-1577 - 2018
- [j7]Lei Guo, Haoran Jiang, Xinhua Wang:
Location Regularization-Based POI Recommendation in Location-Based Social Networks. Inf. 9(4): 85 (2018) - [j6]Lei Guo, Yufei Wen, Xinhua Wang:
Exploiting Pre-Trained Network Embeddings for Recommendations in Social Networks. J. Comput. Sci. Technol. 33(4): 682-696 (2018) - [j5]Zhenjiao Liu, Xinhua Wang, Tianlai Li, Lei Guo:
Personalized Recommendation Based on Contextual Awareness and Tensor Decomposition. J. Electron. Commer. Organ. 16(3): 39-51 (2018) - [c5]Qiang Gao, Xinhua Wang, Lei Guo:
Interest-based Modeling Based on Group Wisdom and Its Application in Recommendation Algorithms. ICSAI 2018: 665-669 - [c4]Yufei Wen, Lei Guo, Zhumin Chen, Jun Ma:
Network Embedding Based Recommendation Method in Social Networks. WWW (Companion Volume) 2018: 11-12 - 2017
- [j4]Lei Guo, Haoran Jiang, Xinhua Wang, Fangai Liu:
Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs. Inf. 8(1): 20 (2017) - [j3]Xueqin Sui, Zhumin Chen, Lei Guo, Kai Wu, Jun Ma, Guanghui Wang:
Social media as sensor in real world: movement trajectory detection with microblog. Soft Comput. 21(3): 765-779 (2017) - 2015
- [j2]Lei Guo, Jun Ma, Haoran Jiang, Zhumin Chen, Chang-Ming Xing:
Social Trust Aware Item Recommendation for Implicit Feedback. J. Comput. Sci. Technol. 30(5): 1039-1053 (2015) - [j1]Lei Guo, Jun Ma, Zhumin Chen, Huan Zhong:
Learning to recommend with social contextual information from implicit feedback. Soft Comput. 19(5): 1351-1362 (2015) - 2014
- [c3]Di Wang, Jun Ma, Tao Lian, Lei Guo:
Recommendation based on weighted social trusts and item relationships. SAC 2014: 254-259 - 2013
- [c2]Lei Guo, Jun Ma, Zhumin Chen:
Learning to recommend with multi-faceted trust in social networks. WWW (Companion Volume) 2013: 205-206 - 2012
- [c1]Lei Guo, Jun Ma, Zhumin Chen, Haoran Jiang:
Learning to recommend with social relation ensemble. CIKM 2012: 2599-2602
Coauthor Index
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last updated on 2025-01-08 20:28 CET by the dblp team
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