Guibing Guo

173 papers A* 29A 18B 5C 2Misc 4Journal 90Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation.
CoRR
Chu Zhao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026 J jnl
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning.
CoRR
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo
2026 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2026 A* conf
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation.
AAAI
Fei Li, Qingyun Gao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026 A* conf
Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion.
WWW
Fei Li, Xiaoming Liu, Jiayi Luo, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2026 A* conf
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation.
AAAI
Run Ling, Ke Cao, Jian Lu, Ao Ma, Haowei Liu, Runze He, Changwei Wang, Rongtao Xu, Yihua Shao, Zhanjie Zhang, Peng Wu, Guibing Guo, Wei Feng, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Xingwei Wang
2026 J jnl
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications, and Opportunities.
ACM Comput. Surv.
Enneng Yang, Li Shen, Guibing Guo, Xing-wei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2026 A* conf
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation.
AAAI
Run Ling, Wenji Wang, Yuting Liu, Guibing Guo, Haowei Liu, Jian Lu, Quanwei Zhang, Yexing Xu, Shuo Lu, Yun Wang, Yihua Shao, Linying Jiang, Xingwei Wang
2026 J jnl
SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation.
CoRR
Jiahao Zhao, Feng Jiang, Shaowei Qin, Zhonghui Zhang, Junhao Liu, Guibing Guo, Hamid Alinejad-Rokny, Min Yang
2026 A* conf
Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation.
WWW
Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2026 J jnl
Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation.
CoRR
Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2026 J jnl
Text as a Universal Interface for Transferable Personalization.
CoRR
Yuting Liu, Jian Guan, Jia-Nan Li, Wei Wu, Jiang-Ming Yang, Jianzhe Zhao, Guibing Guo
2025 — conf
Adaptive Personalized Federated Recommendation with Global Knowledge Distillation.
DASFAA (5)
Jianzhe Zhao, Lingyan He, Fanzhe Lin, Jiaqi Ding, Xiaxue Zhu, Guibing Guo
2025 J jnl
Answer Semantics-enhanced Medical Visual Question Answering.
Mach. Intell. Res.
Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
AAAI
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials.
CoRR
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yizhou Dang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 A* conf
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.
AAAI
Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Data Assetization via Resources-decoupled Federated Learning.
CoRR
Jianzhe Zhao, Feida Zhu, Lingyan He, Zixin Tang, Mingce Gao, Shiyu Yang, Guibing Guo
2025 A* conf
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
SIGIR
Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xing-wei Wang
2025 A* conf
Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation.
SIGIR
Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
WWW
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 A* conf
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
AAAI
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.
ACM Trans. Inf. Syst.
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 — conf
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.
NAACL (Long Papers)
Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.
CoRR
Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xing-wei Wang
2025 J jnl
FedLoRA-Optimizer: Federated LoRA Fine-Tuning with Global and Local Optimization in Heterogeneous Data Scenarios.
CoRR
Jianzhe Zhao, Hailin Zhu, Yu Zhang, Ziqi Chen, Guibing Guo
2025 A* conf
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
WWW
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 Misc conf
Harnessing Content and Structure in ID for Multimodal Recommendation.
ICASSP
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
2025 — conf
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models.
ACL (1)
Haoyu Xu, Pengxiang Lan, Enneng Yang, Guibing Guo, Jianzhe Zhao, Linying Jiang, Xingwei Wang
2025 J jnl
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation.
CoRR
Run Ling, Ke Cao, Jian Lu, Ao Ma, Haowei Liu, Runze He, Changwei Wang, Rongtao Xu, Yihua Shao, Zhanjie Zhang, Peng Wu, Guibing Guo, Wei Feng, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Xingwei Wang
2025 A* conf
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation.
AAAI
Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Preference Logical Reasoning with Preference Operators for Explainable Recommendations.
ACM Trans. Inf. Syst.
Fei Li, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 J jnl
RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation.
CoRR
Run Ling, Wenji Wang, Yuting Liu, Guibing Guo, Linying Jiang, Xingwei Wang
2025 J jnl
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xing-wei Wang, Dacheng Tao
2025 — conf
Self-supervised Hierarchical Representation for Medication Recommendation.
DASFAA (5)
Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
ACM Trans. Inf. Syst.
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 — conf
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.
DASFAA (5)
Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 A* conf
AdaMerging: Adaptive Model Merging for Multi-Task Learning.
ICLR
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
CoRR
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 J jnl
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.
CoRR
Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Continual Learning From a Stream of APIs.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
Data Augmentation for Sequential Recommendation: A Survey.
CoRR
Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback.
ACM Trans. Knowl. Discov. Data
Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang
2024 J jnl
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
CoRR
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
CoRR
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2024 J jnl
Generalized Embedding Machines for Recommender Systems.
Mach. Intell. Res.
Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo
2024 J jnl
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2024 J jnl
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework.
Briefings Bioinform.
Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju
2024 J jnl
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
CoRR
Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024 J jnl
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System.
ACM Trans. Knowl. Discov. Data
Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang
2024 J jnl
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews.
Knowl. Based Syst.
Huiqiong Wu, Guibing Guo, Enneng Yang, Yudong Luo, Yabo Chu, Linying Jiang, Xingwei Wang
2024 J jnl
Repeated Padding as Data Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
2024 A conf
Repeated Padding for Sequential Recommendation.
RecSys
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
2024 A* conf
Representation Surgery for Multi-Task Model Merging.
ICML
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Representation Surgery for Multi-Task Model Merging.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Self-supervised Hierarchical Representation for Medication Recommendation.
CoRR
Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang
2024 — conf
Stealthy Attack on Large Language Model based Recommendation.
ACL (1)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
2024 J jnl
Stealthy Attack on Large Language Model based Recommendation.
CoRR
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
2024 J jnl
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024 J jnl
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2024 J jnl
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation.
IEEE Trans. Knowl. Data Eng.
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
2024 J jnl
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.
CoRR
Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Video and audio are images: A cross-modal mixer for original data on video-audio retrieval.
Knowl. Based Syst.
Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo
2023 J jnl
ACM Conference on Recommender Systems September 18-22, 2023 at Singapore.
SIGWEB Newsl.
Yong Zheng, Hanna Hauptmann, Guibing Guo
2023 J jnl
AdaMerging: Adaptive Model Merging for Multi-Task Learning.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 A* conf
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.
AAAI
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2023 A* conf
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.
NeurIPS
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
2023 A* conf
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation.
IJCAI
Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang
2023 J jnl
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network.
IEEE Trans. Knowl. Data Eng.
Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
2023 J jnl
Continual Learning From a Stream of APIs.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 A* conf
Data Augmented Flatness-aware Gradient Projection for Continual Learning.
ICCV
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
2023 J jnl
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation.
CoRR
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
2023 — conf
Meta Learning Framework for Improved Long-tail Item Recommendation.
ICSAI
Bingjun Qin, Zhenhua Huang, Guibing Guo
2023 A* conf
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation.
AAAI
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
2023 J jnl
Video and Audio are Images: A Cross-Modal Mixer for Original Data on Video-Audio Retrieval.
CoRR
Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo
2022 J jnl
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning.
CoRR
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2022 — conf
Bi-directional Contrastive Distillation for Multi-behavior Recommendation.
ECML/PKDD (1)
Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo
2022 J jnl
Exploiting high-order local and global user-item interactions for effective recommendation.
Knowl. Based Syst.
Sheng Tian, Guibing Guo, Yifei Li, Yuan Liu, Xingwei Wang
2022 J jnl
IPGAN: Generating Informative Item Pairs by Adversarial Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He
2022 J jnl
Learning compact yet accurate Generative Adversarial Networks for recommender systems.
Knowl. Based Syst.
Yu Zhao, Kuo Wang, Guibing Guo, Xingwei Wang
2022 J jnl
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
2022 J jnl
User-based network embedding for opinion spammer detection.
Pattern Recognit.
Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Sheng Jiang
2021 J jnl
Adversarial Path Sampling for Recommender Systems.
IEEE Intell. Syst.
Rui Ding, Bowei Chen, Guibing Guo, Xiaochun Yang
2021 J jnl
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction.
CoRR
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
2021 — conf
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension.
SemEval@ACL/IJCNLP
Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo
2021 J jnl
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension.
CoRR
Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo
2021 J jnl
Target-guided Emotion-aware Chat Machine.
ACM Trans. Inf. Syst.
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
2021 J jnl
VSE-fs: Fast Full-Sample Visual Semantic Embedding.
IEEE Intell. Syst.
Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang
2020 A conf
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks.
SDM
Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He
2020 J jnl
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network.
CoRR
Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
2020 B conf
Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features.
ICIP
Haihua Luo, Xiaoyan Zhang, Guibing Guo
2020 — conf
DSBFT: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism.
ICA3PP (3)
Yuan Liu, Zhengpeng Ai, Mengmeng Tian, Guibing Guo, Linying Jiang
2020 J jnl
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.
ACM Trans. Inf. Syst.
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
2020 J jnl
Exploiting review embedding and user attention for item recommendation.
Knowl. Inf. Syst.
Yatong Sun, Guibing Guo, Xu Chen, Penghai Zhang, Xingwei Wang
2020 J jnl
Fast discrete factorization machine for personalized item recommendation.
Knowl. Based Syst.
Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei
2020 A* conf
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.
WWW
Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong
2020 J jnl
Generalized Embedding Machines for Recommender Systems.
CoRR
Enneng Yang, Xin Xin, Li Shen, Guibing Guo
2020 A* conf
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation.
AAAI
Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He
2020 — conf
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation.
PAKDD (1)
Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu
2020 J jnl
Multi-facet user preference learning for fine-grained item recommendation.
Neurocomputing
Xin Zhou, Guibing Guo, Zhu Sun, Yuan Liu
2020 J jnl
Multi-view visual Bayesian personalized ranking for restaurant recommendation.
Appl. Intell.
Xiaoyan Zhang, Haihua Luo, Bowei Chen, Guibing Guo
2020 J jnl
Target Guided Emotion Aware Chat Machine.
CoRR
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
2020 J jnl
User-based Network Embedding for Collective Opinion Spammer Detection.
CoRR
Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng
2019 — conf
A Privacy-Preserving and Robust Reputation System Based on Blockchain.
ISPA/BDCloud/SocialCom/SustainCom
Shuai Sun, Yuan Liu, Guibing Guo
2019 B conf
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.
ICWE
Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu
2019 J jnl
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.
CoRR
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo
2019 A* conf
Discrete Trust-aware Matrix Factorization for Fast Recommendation.
IJCAI
Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He
2019 A* conf
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation.
IJCAI
Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu
2019 A conf
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction.
CIKM
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
2019 J jnl
Image Recommendation With Reciprocal Social Influence.
IEEE Access
Yuan Meng, Chunyan Han, Yongfeng Zhang, YanJie Li, Guibing Guo
2019 J jnl
Modeling the Past and Future Contexts for Session-based Recommendation.
CoRR
Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He
2019 J jnl
Multi-Level Coupling Network for Non-IID Sequential Recommendation.
IEEE Access
Yatong Sun, Guibing Guo, Xiaodong He, Xiaohua Liu
2019 — conf
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.
DASFAA (1)
Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen
2019 J jnl
Research Commentary on Recommendations with Side Information: A Survey and Research Directions.
CoRR
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019 J jnl
Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl.
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019 J jnl
Visual Semantic Image Recommendation.
IEEE Access
Guibing Guo, Yuan Meng, Yongfeng Zhang, Chunyan Han, YanJie Li
2018 A* conf
Approximating Word Ranking and Negative Sampling for Word Embedding.
IJCAI
Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
2018 J jnl
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback.
Inf. Sci.
Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen
2018 A conf
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.
WSDM
Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen
2018 — conf
LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation.
PCM (1)
Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu
2018 A conf
Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback.
UMAP
Haihua Luo, Xiaoyan Zhang, Bowei Chen, Guibing Guo
2018 J jnl
PCCF: Periodic and continual temporal co-factorization for recommender systems.
Inf. Sci.
Guibing Guo, Feida Zhu, Shilin Qu, Xingwei Wang
2018 J jnl
Search Engine Based Proper Privacy Protection Scheme.
IEEE Access
Guibing Guo, Tianzhi Yang, Yuan Liu
2018 — conf
Team Expansion in Collaborative Environments.
PAKDD (3)
Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu
2018 A* conf
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.
AAAI
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
2018 J jnl
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.
CoRR
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
2018 A conf
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UAI
Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose
2017 — conf
A Reputation Model Considering Repurchase Behavior and Mechanism Design to Promote Repurchase.
SpaCCS
Yuan Liu, Jin Bai, Guibing Guo, Xingwei Wang, Zhenhua Tan
2017 — conf
A Reputation Model for Aggregating Ratings based on Beta Distribution Function.
ICCSE
Yuan Liu, Usman Shittu Chitawa, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang
2017 A conf
A Unified Latent Factor Model for Effective Category-Aware Recommendation.
UMAP
Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu
2017 C conf
An Identity Management System Based on Blockchain.
PST
Yuan Liu, Zheng Zhao, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang
2017 A conf
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation.
IUI
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
2017 J jnl
Factored similarity models with social trust for top-N item recommendation.
Knowl. Based Syst.
Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang
2017 J jnl
Integrating Trust with User Preference for Effective Web Service Composition.
IEEE Trans. Serv. Comput.
HongBing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang
2017 Misc conf
Learning hierarchical category influence on both users and items for effective recommendation.
SAC
Zhu Sun, Guibing Guo, Jie Zhang
2017 J jnl
Measuring similarity of users with qualitative preferences for service selection.
Knowl. Inf. Syst.
HongBing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang
2017 — conf
Pairwise Preference Over Mixed-Type Item-Sets Based Bayesian Personalized Ranking for Collaborative Filtering.
DASC/PiCom/DataCom/CyberSciTech
Shan Gao, Guibing Guo, Yusong Lin, Xingjin Zhang, Yongpeng Liu, Zongmin Wang
2017 J jnl
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems.
Knowl. Based Syst.
Guibing Guo, Huihuai Qiu, Zhenhua Tan, Yuan Liu, Jing Ma, Xingwei Wang
2017 — conf
Semi-Supervised Learning Based Fake Review Detection.
ISPA/IUCC
Huaxun Deng, Linfeng Zhao, Ning Luo, Yuan Liu, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang, Fucai Zhou
2016 J jnl
A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems.
ACM Trans. Web
Guibing Guo, Jie Zhang, Neil Yorke-Smith
2016 J jnl
A Novel Recommendation Model Regularized with User Trust and Item Ratings.
IEEE Trans. Knowl. Data Eng.
Guibing Guo, Jie Zhang, Neil Yorke-Smith
2016 A conf
Effective Recommendation with Category Hierarchy.
UMAP
Zhu Sun, Guibing Guo, Jie Zhang
2016 B conf
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation.
ICTAI
Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh
2016 A conf
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates.
CIKM
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
2016 — conf
Optimizing Factorization Machines for Top-N Context-Aware Recommendations.
WISE (1)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
2016 A conf
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback.
UMAP
Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu
2015 A conf
Exploiting Implicit Item Relationships for Recommender Systems.
UMAP
Zhu Sun, Guibing Guo, Jie Zhang
2015 J jnl
Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems.
Knowl. Based Syst.
Guibing Guo, Jie Zhang, Neil Yorke-Smith
2015 — conf
LibRec: A Java Library for Recommender Systems.
UMAP Workshops
Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith
2015 J jnl
Multi-faceted trust and distrust prediction for recommender systems.
Decis. Support Syst.
Hui Fang, Guibing Guo, Jie Zhang
2015 A conf
Optimal and Effective Web Service Composition with Trust and User Preference.
ICWS
HongBing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang
2015 A* conf
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings.
AAAI
Guibing Guo, Jie Zhang, Neil Yorke-Smith
2014 B conf
ETAF: An extended trust antecedents framework for trust prediction.
ASONAM
Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith
2014 — —
Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems
Guibing Guo
2014 Misc conf
From ratings to trust: an empirical study of implicit trust in recommender systems.
SAC
Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu, Neil Yorke-Smith
2014 J jnl
Leveraging prior ratings for recommender systems in e-commerce.
Electron. Commer. Res. Appl.
Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith
2014 J jnl
Merging trust in collaborative filtering to alleviate data sparsity and cold start.
Knowl. Based Syst.
Guibing Guo, Jie Zhang, Daniel Thalmann
2014 Misc conf
Privacy preserving trusted social feedback.
SAC
Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang, Yutaka Miyake
2013 C conf
A Hybrid Recommender System based on Material Concepts with Difficulty Levels.
ICCE
Guibing Guo, Mojisola Erdt, Bu-Sung Lee
2013 A* conf
A Novel Bayesian Similarity Measure for Recommender Systems.
IJCAI
Guibing Guo, Jie Zhang, Neil Yorke-Smith
2013 B conf
Combining Recommender and Reputation Systems to Produce Better Online Advice.
MDAI
Audun Jøsang, Guibing Guo, Maria Silvia Pini, Francesco Santini, Yue Xu
2013 A* conf
Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems.
IJCAI
Guibing Guo
2013 A conf
Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems.
RecSys
Guibing Guo
2013 A conf
Prior ratings: a new information source for recommender systems in e-commerce.
RecSys
Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith
2013 — conf
Recommending Messages to Users in Social Networks: A Cross-Site Study.
ICMLA (2)
Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo
2012 A conf
A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems.
UMAP
Guibing Guo, Jie Zhang, Daniel Thalmann
2012 A conf
Resolving Data Sparsity and Cold Start in Recommender Systems.
UMAP
Guibing Guo
2012 — conf
Service Selection Based on Similarity Measurement for Conditional Qualitative Preference.
Web Intelligence
HongBing Wang, Jie Zhang, Hualan Wang, Yangyu Tang, Guibing Guo
2012 A conf
WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection.
ICSOC
HongBing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou
2011 — conf
Improving PGP Web of Trust through the Expansion of Trusted Neighborhood.
Web Intelligence
Guibing Guo, Jie Zhang, Julita Vassileva