| 2026 | AAAI | Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation. | Fei Li, Qingyun Gao, Enneng Yang, Jianzhe Zhao, Guibing Guo |
| 2026 | AAAI | MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation. | 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 | AAAI | RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation. | 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 | ACL | LLM-Driven Multi-Perspective Location Completion for Next Location Prediction. | Pengxiang Lan, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Linying Jiang, Guibing Guo |
| 2026 | WWW | Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation. | Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2026 | WWW | Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion. | Fei Li, Xiaoming Liu, Jiayi Luo, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2026 | SIGIR | Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models. | Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun |
| 2026 | SIGIR | Multi-Perspective Driven Expected Location Preferences for Next POI Recommendations. | Pengxiang Lan, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Hai Zhao |
| 2026 | SIGIR | Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation. | Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun |
| 2025 | AAAI | Augmenting Sequential Recommendation with Balanced Relevance and Diversity. | Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | AAAI | Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation. | Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | AAAI | EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. | Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | AAAI | CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. | Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | ACL | Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models. | Haoyu Xu, Pengxiang Lan, Enneng Yang, Guibing Guo, Jianzhe Zhao, Linying Jiang, Xingwei Wang |
| 2025 | DASFAA | Self-supervised Hierarchical Representation for Medication Recommendation. | Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang |
| 2025 | DASFAA | Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. | Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | DASFAA | Adaptive Personalized Federated Recommendation with Global Knowledge Distillation. | Jianzhe Zhao, Lingyan He, Fanzhe Lin, Jiaqi Ding, Xiaxue Zhu, Guibing Guo |
| 2025 | DASFAA | Heterogeneous FL via Active-Passive Collaboration. | Jianzhe Zhao, Wuganjing Song, Li Zhang, Xingwei Wang, Guibing Guo, Zhelin Fan |
| 2025 | ICASSP | Harnessing Content and Structure in ID for Multimodal Recommendation. | Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang |
| 2025 | NAACL | Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product. | Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | WWW | Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. | Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2025 | WWW | Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model. | Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2025 | SIGIR | Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. | Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | SIGIR | Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation. | Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2024 | ACL | Stealthy Attack on Large Language Model based Recommendation. | Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang |
| 2024 | ICLR | AdaMerging: Adaptive Model Merging for Multi-Task Learning. | Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao |
| 2024 | ICML | Representation Surgery for Multi-Task Model Merging. | Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao |
| 2024 | RecSys | Repeated Padding for Sequential Recommendation. | Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao |
| 2023 | AAAI | Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. | Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu |
| 2023 | AAAI | AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. | Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo |
| 2023 | ICCV | Data Augmented Flatness-aware Gradient Projection for Continual Learning. | Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang |
| 2023 | IJCAI | Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. | Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang |
| 2020 | AAAI | Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. | Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He |
| 2020 | ICA3PP | DSBFT: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism. | Yuan Liu, Zhengpeng Ai, Mengmeng Tian, Guibing Guo, Linying Jiang |
| 2020 | ICIP | Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features. | Haihua Luo, Xiaoyan Zhang, Guibing Guo |
| 2020 | PAKDD | Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. | Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu |
| 2020 | WWW | Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. | Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong |
| 2020 | SDM | BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. | Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He |
| 2019 | CIKM | Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. | Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu |
| 2019 | DASFAA | Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. | Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen |
| 2019 | IJCAI | Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. | Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu |
| 2019 | IJCAI | Discrete Trust-aware Matrix Factorization for Fast Recommendation. | Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He |
| 2019 | ICWE | Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. | Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu |
| 2019 | ISPA | A Privacy-Preserving and Robust Reputation System Based on Blockchain. | Shuai Sun, Yuan Liu, Guibing Guo |
| 2018 | AAAI | VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. | Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang |
| 2018 | IJCAI | Approximating Word Ranking and Negative Sampling for Word Embedding. | Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang |
| 2018 | PAKDD | Team Expansion in Collaborative Environments. | Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu |
| 2018 | UAI | f | Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose |
| 2018 | WSDM | IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. | Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen |
| 2017 | DASC | Pairwise Preference Over Mixed-Type Item-Sets Based Bayesian Personalized Ranking for Collaborative Filtering. | Shan Gao, Guibing Guo, Yusong Lin, Xingjin Zhang, Yongpeng Liu, Zongmin Wang |
| 2017 | ISPA | Semi-Supervised Learning Based Fake Review Detection. | Huaxun Deng, Linfeng Zhao, Ning Luo, Yuan Liu, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang, Fucai Zhou |
| 2017 | IUI | BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2017 | PST | An Identity Management System Based on Blockchain. | Yuan Liu, Zheng Zhao, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang |
| 2017 | SAC | Learning hierarchical category influence on both users and items for effective recommendation. | Zhu Sun, Guibing Guo, Jie Zhang |
| 2016 | CIKM | LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2016 | ICTAI | Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. | Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh |
| 2016 | WISE | Optimizing Factorization Machines for Top-N Context-Aware Recommendations. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2015 | AAAI | TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. | Guibing Guo, Jie Zhang, Neil Yorke-Smith |
| 2015 | ICWS | Optimal and Effective Web Service Composition with Trust and User Preference. | Hongbing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang |
| 2014 | SAC | Privacy preserving trusted social feedback. | Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang, Yutaka Miyake |
| 2014 | SAC | From ratings to trust: an empirical study of implicit trust in recommender systems. | Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu, Neil Yorke-Smith |
| 2013 | ICCE | A Hybrid Recommender System based on Material Concepts with Difficulty Levels. | Guibing Guo, Mojisola Erdt, Bu-Sung Lee |
| 2013 | ICMLA | Recommending Messages to Users in Social Networks: A Cross-Site Study. | Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo |
| 2013 | IJCAI | Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems. | Guibing Guo |
| 2013 | IJCAI | A Novel Bayesian Similarity Measure for Recommender Systems. | Guibing Guo, Jie Zhang, Neil Yorke-Smith |
| 2013 | MDAI | Combining Recommender and Reputation Systems to Produce Better Online Advice. | Audun Jsang, Guibing Guo, Maria Silvia Pini, Francesco Santini, Yue Xu |
| 2013 | RecSys | Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems. | Guibing Guo |
| 2013 | RecSys | Prior ratings: a new information source for recommender systems in e-commerce. | Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith |
| 2012 | ICSOC | WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. | Hongbing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou |