Guibing Guo

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 96

Top Venues

Publications

Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo
Generalized Embedding Machines for Recommender Systems. Mach. Intell. Res. 21 (3) (2024)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Stealthy Attack on Large Language Model based Recommendation. ACL (1) (2024)
Huiqiong Wu, Guibing Guo, Enneng Yang, Yudong Luo, Yabo Chu, Linying Jiang, Xingwei Wang
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews. Knowl. Based Syst. 283 (2024)
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
Repeated Padding as Data Augmentation for Sequential Recommendation. CoRR (2024)
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. CoRR (2024)
Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework. Briefings Bioinform. 25 (4) (2024)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Stealthy Attack on Large Language Model based Recommendation. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR (2024)
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo
Video and audio are images: A cross-modal mixer for original data on video-audio retrieval. Knowl. Based Syst. 299 (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR (2023)
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. AAAI (2023)
Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. IJCAI (2023)
Bingjun Qin, Zhenhua Huang, Guibing Guo
Meta Learning Framework for Improved Long-tail Item Recommendation. ICSAI (2023)
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. CoRR (2023)
Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS (2023)
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
Continual Learning From a Stream of APIs. CoRR (2023)
Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo
Video and Audio are Images: A Cross-Modal Mixer for Original Data on Video-Audio Retrieval. CoRR (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV (2023)
Yong Zheng, Hanna Hauptmann, Guibing Guo
ACM Conference on Recommender Systems September 18-22, 2023 at Singapore. SIGWEB Newsl. 2023 (Summer) (2023)
Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Yu Zhao, Kuo Wang, Guibing Guo, Xingwei Wang
Learning compact yet accurate Generative Adversarial Networks for recommender systems. Knowl. Based Syst. 257 (2022)
Sheng Tian, Guibing Guo, Yifei Li, Yuan Liu, Xingwei Wang
Exploiting high-order local and global user-item interactions for effective recommendation. Knowl. Based Syst. 246 (2022)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR (2022)
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. CoRR (2022)
Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Sheng Jiang
User-based network embedding for opinion spammer detection. Pattern Recognit. 125 (2022)
Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) (2022)
Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. CoRR (2021)
Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang
VSE-fs: Fast Full-Sample Visual Semantic Embedding. IEEE Intell. Syst. 36 (4) (2021)
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
Target-guided Emotion-aware Chat Machine. ACM Trans. Inf. Syst. 39 (4) (2021)
Rui Ding, Bowei Chen, Guibing Guo, Xiaochun Yang
Adversarial Path Sampling for Recommender Systems. IEEE Intell. Syst. 36 (6) (2021)
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. CoRR (2021)
Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. SemEval@ACL/IJCNLP (2021)
Haihua Luo, Xiaoyan Zhang, Guibing Guo
Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features. ICIP (2020)
Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI (2020)
Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. SDM (2020)
Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. PAKDD (1) (2020)
Enneng Yang, Xin Xin, Li Shen, Guibing Guo
Generalized Embedding Machines for Recommender Systems. CoRR (2020)
Xin Zhou, Guibing Guo, Zhu Sun, Yuan Liu
Multi-facet user preference learning for fine-grained item recommendation. Neurocomputing 385 (2020)
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
Target Guided Emotion Aware Chat Machine. CoRR (2020)
Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. WWW (2020)
Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. CoRR (2020)
Yuan Liu, Zhengpeng Ai, Mengmeng Tian, Guibing Guo, Linying Jiang
DSBFT: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism. ICA3PP (3) (2020)
Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei
Fast discrete factorization machine for personalized item recommendation. Knowl. Based Syst. 193 (2020)
Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng
User-based Network Embedding for Collective Opinion Spammer Detection. CoRR (2020)
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. ACM Trans. Inf. Syst. 39 (1) (2020)
Xiaoyan Zhang, Haihua Luo, Bowei Chen, Guibing Guo
Multi-view visual Bayesian personalized ranking for restaurant recommendation. Appl. Intell. 50 (9) (2020)
Yatong Sun, Guibing Guo, Xu Chen, Penghai Zhang, Xingwei Wang
Exploiting review embedding and user attention for item recommendation. Knowl. Inf. Syst. 62 (8) (2020)
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. CoRR (2019)
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. CIKM (2019)
Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. IJCAI (2019)
Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He
Modeling the Past and Future Contexts for Session-based Recommendation. CoRR (2019)
Yatong Sun, Guibing Guo, Xiaodong He, Xiaohua Liu
Multi-Level Coupling Network for Non-IID Sequential Recommendation. IEEE Access 7 (2019)
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019)
Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. DASFAA (1) (2019)
Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He
Discrete Trust-aware Matrix Factorization for Fast Recommendation. IJCAI (2019)
Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. ICWE (2019)
Shuai Sun, Yuan Liu, Guibing Guo
A Privacy-Preserving and Robust Reputation System Based on Blockchain. ISPA/BDCloud/SocialCom/SustainCom (2019)
Yuan Meng, Chunyan Han, Yongfeng Zhang, Yanjie Li, Guibing Guo
Image Recommendation With Reciprocal Social Influence. IEEE Access 7 (2019)
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR (2019)
Guibing Guo, Yuan Meng, Yongfeng Zhang, Chunyan Han, Yanjie Li
Visual Semantic Image Recommendation. IEEE Access 7 (2019)
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. CoRR (2018)
Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
Approximating Word Ranking and Negative Sampling for Word Embedding. IJCAI (2018)
Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. WSDM (2018)
Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453 (2018)
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. AAAI (2018)
Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Jose M. Joemon
: Learning Embeddings From Positive Unlabeled Data with BGD. UAI (2018)
Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu
Team Expansion in Collaborative Environments. PAKDD (3) (2018)
Guibing Guo, Feida Zhu, Shilin Qu, Xingwei Wang
PCCF: Periodic and continual temporal co-factorization for recommender systems. Inf. Sci. (2018)
Guibing Guo, Tianzhi Yang, Yuan Liu
Search Engine Based Proper Privacy Protection Scheme. IEEE Access 6 (2018)
Haihua Luo, Xiaoyan Zhang, Bowei Chen, Guibing Guo
Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback. UMAP (2018)
Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu
LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation. PCM (1) (2018)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. IUI (2017)
Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu
A Unified Latent Factor Model for Effective Category-Aware Recommendation. UMAP (2017)
Hongbing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang
Measuring similarity of users with qualitative preferences for service selection. Knowl. Inf. Syst. 51 (2) (2017)
Zhu Sun, Guibing Guo, Jie Zhang
Learning hierarchical category influence on both users and items for effective recommendation. SAC (2017)
Yuan Liu, Zheng Zhao, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang
An Identity Management System Based on Blockchain. PST (2017)
Yuan Liu, Jin Bai, Guibing Guo, Xingwei Wang, Zhenhua Tan
A Reputation Model Considering Repurchase Behavior and Mechanism Design to Promote Repurchase. SpaCCS (2017)
Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang
Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. 122 (2017)
Shan Gao, Guibing Guo, Yusong Lin, Xingjin Zhang, Yongpeng Liu, Zongmin Wang
Pairwise Preference Over Mixed-Type Item-Sets Based Bayesian Personalized Ranking for Collaborative Filtering. DASC/PiCom/DataCom/CyberSciTech (2017)
Yuan Liu, Usman Shittu Chitawa, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang
A Reputation Model for Aggregating Ratings based on Beta Distribution Function. ICCSE (2017)
Guibing Guo, Huihuai Qiu, Zhenhua Tan, Yuan Liu, Jing Ma, Xingwei Wang
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. Knowl. Based Syst. 138 (2017)
Hongbing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang
Integrating Trust with User Preference for Effective Web Service Composition. IEEE Trans. Serv. Comput. 10 (4) (2017)
Huaxun Deng, Linfeng Zhao, Ning Luo, Yuan Liu, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang, Fucai Zhou
Semi-Supervised Learning Based Fake Review Detection. ISPA/IUCC (2017)
Guibing Guo, Jie Zhang, Neil Yorke-Smith
A Novel Recommendation Model Regularized with User Trust and Item Ratings. IEEE Trans. Knowl. Data Eng. 28 (7) (2016)
Zhu Sun, Guibing Guo, Jie Zhang
Effective Recommendation with Category Hierarchy. UMAP (2016)
Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. ICTAI (2016)
Guibing Guo, Jie Zhang, Neil Yorke-Smith
A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems. ACM Trans. Web 10 (2) (2016)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
Optimizing Factorization Machines for Top-N Context-Aware Recommendations. WISE (1) (2016)
Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. UMAP (2016)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. CIKM (2016)
Guibing Guo, Jie Zhang, Neil Yorke-Smith
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. AAAI (2015)
Hui Fang, Guibing Guo, Jie Zhang
Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71 (2015)
Zhu Sun, Guibing Guo, Jie Zhang
Exploiting Implicit Item Relationships for Recommender Systems. UMAP (2015)
Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith
LibRec: A Java Library for Recommender Systems. UMAP Workshops (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guibing Guo