Improving PGP Web of Trust through the Expansion of Trusted Neighborhood. - Guibing Guo; Jie Zhang 002; Julita Vassileva (Web Intelligence, 2011)

WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. - Hongbing Wang; Jie Zhang 002; Wenlong Sun; Hongye Song; Guibing Guo; Xiang Zhou (ICSOC, 2012)

Resolving Data Sparsity and Cold Start in Recommender Systems. - Guibing Guo (UMAP, 2012)

A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. - Guibing Guo; Jie Zhang 002; Daniel Thalmann (UMAP, 2012)

Service Selection Based on Similarity Measurement for Conditional Qualitative Preference. - Hongbing Wang; Jie Zhang 002; Hualan Wang; Yangyu Tang; Guibing Guo (Web Intelligence, 2012)

A Hybrid Recommender System based on Material Concepts with Difficulty Levels. - Guibing Guo; Mojisola Erdt; Bu-Sung Lee (ICCE, 2013)

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 002; Guibing Guo (ICMLA (2), 2013)

Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems. - Guibing Guo (IJCAI, 2013)

A Novel Bayesian Similarity Measure for Recommender Systems. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (IJCAI, 2013)

Combining Recommender and Reputation Systems to Produce Better Online Advice. - Audun Jøsang; Guibing Guo; Maria Silvia Pini; Francesco Santini 001; Yue Xu 001 (MDAI, 2013)

Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems. - Guibing Guo (RecSys, 2013)

Prior ratings: a new information source for recommender systems in e-commerce. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Neil Yorke-Smith (RecSys, 2013)

ETAF: An extended trust antecedents framework for trust prediction. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Neil Yorke-Smith (ASONAM, 2014)

Privacy preserving trusted social feedback. - Anirban Basu 001; Juan Camilo Corena; Shinsaku Kiyomoto; Stephen Marsh 001; Jaideep Vaidya; Guibing Guo; Jie Zhang 002; Yutaka Miyake (SAC, 2014)

From ratings to trust: an empirical study of implicit trust in recommender systems. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Anirban Basu 001; Neil Yorke-Smith (SAC, 2014)

Leveraging prior ratings for recommender systems in e-commerce. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Neil Yorke-Smith (Electron. Commer. Res. Appl., 2014)

Merging trust in collaborative filtering to alleviate data sparsity and cold start. - Guibing Guo; Jie Zhang 002; Daniel Thalmann (Knowl. Based Syst., 2014)

Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems - Guibing Guo (2014)

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (AAAI, 2015)

Optimal and Effective Web Service Composition with Trust and User Preference. - Hongbing Wang; Bin Zou; Guibing Guo; Jie Zhang 002; Zhengping Yang (ICWS, 2015)

LibRec: A Java Library for Recommender Systems. - Guibing Guo; Jie Zhang 002; Zhu Sun 001; Neil Yorke-Smith (UMAP Workshops, 2015)

Exploiting Implicit Item Relationships for Recommender Systems. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (UMAP, 2015)

Multi-faceted trust and distrust prediction for recommender systems. - Hui Fang 002; Guibing Guo; Jie Zhang 002 (Decis. Support Syst., 2015)

Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (Knowl. Based Syst., 2015)

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. - Fajie Yuan; Guibing Guo; Joemon M. Jose; Long Chen 008; Haitao Yu 003; Weinan Zhang 001 (CIKM, 2016)

Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. - Fajie Yuan; Joemon M. Jose; Guibing Guo; Long Chen 008; Haitao Yu 003; Rami Suleiman Alkhawaldeh (ICTAI, 2016)

TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. - Hui-Huai Qiu; Guibing Guo; Jie Zhang 002; Zhu Sun 001; Hai Thanh Nguyen 001; Yun Liu 001 (UMAP, 2016)

Effective Recommendation with Category Hierarchy. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (UMAP, 2016)

Optimizing Factorization Machines for Top-N Context-Aware Recommendations. - Fajie Yuan; Guibing Guo; Joemon M. Jose; Long Chen 008; Haitao Yu 003; Weinan Zhang 001 (WISE (1), 2016)

A Novel Recommendation Model Regularized with User Trust and Item Ratings. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (IEEE Trans. Knowl. Data Eng., 2016)

A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (ACM Trans. Web, 2016)

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 (DASC/PiCom/DataCom/CyberSciTech, 2017)

A Reputation Model for Aggregating Ratings based on Beta Distribution Function. - Yuan Liu 002; Usman Shittu Chitawa; Guibing Guo; Xingwei Wang 001; Zhenhua Tan; Shuang Wang (ICCSE, 2017)

Semi-Supervised Learning Based Fake Review Detection. - Huaxun Deng; Linfeng Zhao; Ning Luo; Yuan Liu 002; Guibing Guo; Xingwei Wang 001; Zhenhua Tan; Shuang Wang; Fucai Zhou (ISPA/IUCC, 2017)

BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. - Fajie Yuan; Guibing Guo; Joemon M. Jose; Long Chen 008; Haitao Yu 003; Weinan Zhang 001 (IUI, 2017)

An Identity Management System Based on Blockchain. - Yuan Liu 002; Zheng Zhao; Guibing Guo; Xingwei Wang 001; Zhenhua Tan; Shuang Wang (PST, 2017)

Learning hierarchical category influence on both users and items for effective recommendation. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (SAC, 2017)

A Reputation Model Considering Repurchase Behavior and Mechanism Design to Promote Repurchase. - Yuan Liu 002; Jin Bai; Guibing Guo; Xingwei Wang 001; Zhenhua Tan (SpaCCS, 2017)

A Unified Latent Factor Model for Effective Category-Aware Recommendation. - Zhu Sun 001; Guibing Guo; Jie Zhang 002; Chi Xu (UMAP, 2017)

Measuring similarity of users with qualitative preferences for service selection. - Hongbing Wang; Hualan Wang; Guibing Guo; Yangyu Tang; Jie Zhang 002 (Knowl. Inf. Syst., 2017)

Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. - Guibing Guo; Huihuai Qiu; Zhenhua Tan; Yuan Liu 002; Jing Ma; Xingwei Wang 001 (Knowl. Based Syst., 2017)

Factored similarity models with social trust for top-N item recommendation. - Guibing Guo; Jie Zhang 002; Feida Zhu 001; Xingwei Wang 001 (Knowl. Based Syst., 2017)

Integrating Trust with User Preference for Effective Web Service Composition. - Hongbing Wang; Bin Zou; Guibing Guo; Danrong Yang; Jie Zhang 002 (IEEE Trans. Serv. Comput., 2017)

VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. - Guibing Guo; Songlin Zhai; Fajie Yuan; Yuan Liu 002; Xingwei Wang 001 (AAAI, 2018)

Approximating Word Ranking and Negative Sampling for Word Embedding. - Guibing Guo; Shichang Ouyang; Fajie Yuan; Xingwei Wang 001 (IJCAI, 2018)

Team Expansion in Collaborative Environments. - Lun Zhao; Yuan Yao 001; Guibing Guo; Hanghang Tong; Feng Xu 007; Jian Lu 001 (PAKDD (3), 2018)

LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation. - Liangliang He; Zhenhua Tan; Guibing Guo; Qiuyun Chang; Danke Wu (PCM (1), 2018)

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD. - Fajie Yuan; Xin Xin 003; Xiangnan He 001; Guibing Guo; Weinan Zhang 001; Tat-Seng Chua; Joemon M. Jose (UAI, 2018)

Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback. - Haihua Luo; Xiaoyan Zhang 002; Bowei Chen 004; Guibing Guo (UMAP, 2018)

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. - Feida Zhu 001; Yongfeng Zhang; Neil Yorke-Smith; Guibing Guo; Xu Chen 017 (WSDM, 2018)

Search Engine Based Proper Privacy Protection Scheme. - Guibing Guo; Tianzhi Yang; Yuan Liu 002 (IEEE Access, 2018)

PCCF: Periodic and continual temporal co-factorization for recommender systems. - Guibing Guo; Feida Zhu 001; Shilin Qu; Xingwei Wang 001 (Inf. Sci., 2018)

BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. - Huihuai Qiu; Yun Liu 001; Guibing Guo; Zhu Sun 001; Jie Zhang 002; Hai Thanh Nguyen 001 (Inf. Sci., 2018)

Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. - Wei Wei 002; Jiayi Liu 004; Xianling Mao; Guibing Guo; Feida Zhu 001; Pan Zhou 001; Yuchong Hu (CIKM, 2019)

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. - Qinyong Wang; Hongzhi Yin; Weiqing Wang 001; Zi Huang; Guibing Guo; Quoc Viet Hung Nguyen (DASFAA (1), 2019)

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. - Hui Fang 002; Guibing Guo; Danning Zhang; Yiheng Shu (ICWE, 2019)

Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. - Guibing Guo; Shichang Ouyang; Xiaodong He 001; Fajie Yuan; Xiaohua Liu (IJCAI, 2019)

Discrete Trust-aware Matrix Factorization for Fast Recommendation. - Guibing Guo; Enneng Yang; Li Shen 008; Xiaochun Yang 001; Xiaodong He 001 (IJCAI, 2019)

A Privacy-Preserving and Robust Reputation System Based on Blockchain. - Shuai Sun; Yuan Liu 002; Guibing Guo (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Visual Semantic Image Recommendation. - Guibing Guo; Yuan Meng; Yongfeng Zhang; Chunyan Han; Yanjie Li (IEEE Access, 2019)

Image Recommendation With Reciprocal Social Influence. - Yuan Meng; Chunyan Han; Yongfeng Zhang; Yanjie Li; Guibing Guo (IEEE Access, 2019)

Multi-Level Coupling Network for Non-IID Sequential Recommendation. - Yatong Sun; Guibing Guo; Xiaodong He 001; Xiaohua Liu (IEEE Access, 2019)

Modeling the Past and Future Contexts for Session-based Recommendation. - Fajie Yuan; Xiangnan He 001; Guibing Guo; Zhezhao Xu; Jian Xiong; Xiuqiang He 001 (CoRR, 2019)

Research commentary on recommendations with side information: A survey and research directions. - Zhu Sun 001; Qing Guo 005; Jie Yang 028; Hui Fang 002; Guibing Guo; Jie Zhang 002; Robin Burke (Electron. Commer. Res. Appl., 2019)

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. - Guibing Guo; Bowei Chen 004; Xiaoyan Zhang 002; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001 (AAAI, 2020)

DSBFT: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism. - Yuan Liu 002; Zhengpeng Ai; Mengmeng Tian; Guibing Guo; Linying Jiang (ICA3PP (3), 2020)

Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features. - Haihua Luo; Xiaoyan Zhang 002; Guibing Guo (ICIP, 2020)

Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. - Xin Zhou 023; Zhu Sun 001; Guibing Guo; Yuan Liu 002 (PAKDD (1), 2020)

BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. - Rui Ding 003; Guibing Guo; Xiaochun Yang 001; Bowei Chen 004; Zhirong Liu; Xiuqiang He 001 (SDM, 2020)

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. - Fajie Yuan; Xiangnan He 001; Haochuan Jiang; Guibing Guo; Jian Xiong; Zhezhao Xu; Yilin Xiong (WWW, 2020)

Multi-view visual Bayesian personalized ranking for restaurant recommendation. - Xiaoyan Zhang 002; Haihua Luo; Bowei Chen 004; Guibing Guo (Appl. Intell., 2020)

Generalized Embedding Machines for Recommender Systems. - Enneng Yang; Xin Xin 007; Li Shen 008; Guibing Guo (CoRR, 2020)

User-based Network Embedding for Collective Opinion Spammer Detection. - Ziyang Wang; Wei Wei 002; Xian-Ling Mao; Guibing Guo; Pan Zhou 001; Shanshan Feng 001 (CoRR, 2020)

Multi-facet user preference learning for fine-grained item recommendation. - Xin Zhou 023; Guibing Guo; Zhu Sun 001; Yuan Liu 002 (Neurocomputing, 2020)

Exploiting review embedding and user attention for item recommendation. - Yatong Sun; Guibing Guo; Xu Chen; Penghai Zhang; Xingwei Wang 001 (Knowl. Inf. Syst., 2020)

Fast discrete factorization machine for personalized item recommendation. - Shilin Qu; Guibing Guo; Yuan Liu 002; Yuan Yao 001; Wei Wei 002 (Knowl. Based Syst., 2020)

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. - Hui Fang 002; Danning Zhang; Yiheng Shu; Guibing Guo (ACM Trans. Inf. Syst., 2020)

NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. - Zhixiang Chen 012; Yikun Lei; Pai Liu; Guibing Guo (SemEval@ACL/IJCNLP, 2021)

Adversarial Path Sampling for Recommender Systems. - Rui Ding 003; Bowei Chen 004; Guibing Guo; Xiaochun Yang 001 (IEEE Intell. Syst., 2021)

VSE-fs: Fast Full-Sample Visual Semantic Embedding. - Songlin Zhai; Guibing Guo; Fajie Yuan; Yuan Liu 002; Xingwei Wang 001 (IEEE Intell. Syst., 2021)

Target-guided Emotion-aware Chat Machine. - Wei Wei 002; Jiayi Liu 004; Xianling Mao; Guibing Guo; Feida Zhu 001; Pan Zhou 001; Yuchong Hu; Shanshan Feng 001 (ACM Trans. Inf. Syst., 2021)

Bi-directional Contrastive Distillation for Multi-behavior Recommendation. - Yabo Chu; Enneng Yang; Qiang Liu 006; Yuting Liu 003; Linying Jiang; Guibing Guo (ECML/PKDD (1), 2022)

Exploiting high-order local and global user-item interactions for effective recommendation. - Sheng Tian; Guibing Guo; Yifei Li 005; Yuan Liu 002; Xingwei Wang 001 (Knowl. Based Syst., 2022)

Learning compact yet accurate Generative Adversarial Networks for recommender systems. - Yu Zhao; Kuo Wang; Guibing Guo; Xingwei Wang 001 (Knowl. Based Syst., 2022)

User-based network embedding for opinion spammer detection. - Ziyang Wang; Wei Wei 002; Xian-Ling Mao; Guibing Guo; Pan Zhou 001; Sheng Jiang (Pattern Recognit., 2022)

IPGAN: Generating Informative Item Pairs by Adversarial Sampling. - Guibing Guo; Huan Zhou; Bowei Chen 004; Zhirong Liu; Xiao Xu 005; Xu Chen 017; Zhenhua Dong; Xiuqiang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. - Yizhou Dang; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Xiaoxiao Xu; Qinghui Sun; Hong Liu (AAAI, 2023)

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. - Enneng Yang; Junwei Pan; Ximei Wang; Haibin Yu; Li Shen 008; Xihua Chen; Lei Xiao; Jie Jiang 015; Guibing Guo (AAAI, 2023)

Data Augmented Flatness-aware Gradient Projection for Continual Learning. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Shiwei Liu 003; Guibing Guo; Xingwei Wang 001 (ICCV, 2023)

Meta Learning Framework for Improved Long-tail Item Recommendation. - Bingjun Qin; Zhenhua Huang 001; Guibing Guo (ICSAI, 2023)

Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. - Yalin Yu; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001 (IJCAI, 2023)

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Tongliang Liu; Guibing Guo (NeurIPS, 2023)

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. - Yuting Liu 003; Enneng Yang; Yizhou Dang; Guibing Guo; Qiang Liu 006; Yuliang Liang; Linying Jiang; Xingwei Wang 001 (CoRR, 2023)

ACM Conference on Recommender Systems September 18-22, 2023 at Singapore. - Yong Zheng 001; Hanna Hauptmann; Guibing Guo (SIGWEB Newsl., 2023)

CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. - Shilin Qu; Fajie Yuan; Guibing Guo; Liguang Zhang; Wei Wei 002 (IEEE Trans. Knowl. Data Eng., 2023)

Stealthy Attack on Large Language Model based Recommendation. - Jinghao Zhang; Yuting Liu 003; Qiang Liu 006; Shu Wu; Guibing Guo; Liang Wang 001 (ACL (1), 2024)

AdaMerging: Adaptive Model Merging for Multi-Task Learning. - Enneng Yang; Zhenyi Wang 001; Li Shen 008; Shiwei Liu 003; Guibing Guo; Xingwei Wang 001; Dacheng Tao (ICLR, 2024)

Representation Surgery for Multi-Task Model Merging. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Guibing Guo; Xiaojun Chen 006; Xingwei Wang 001; Dacheng Tao (ICML, 2024)

Repeated Padding for Sequential Recommendation. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Jianzhe Zhao (RecSys, 2024)

Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework. - Guoqing Zhang; Hui Wang; Zhiguo Zhang; Lu Zhang; Guibing Guo; Jian Yang 005; Fajie Yuan; Feng Ju (Briefings Bioinform., 2024)

Repeated Padding as Data Augmentation for Sequential Recommendation. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Jianzhe Zhao (CoRR, 2024)

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. - Yuting Liu 003; Yizhou Dang; Yuliang Liang; Qiang Liu 006; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. - Pengxiang Lan; Enneng Yang; Yuting Liu 003; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. - Enneng Yang; Li Shen 008; Guibing Guo; Xingwei Wang 001; Xiaochun Cao; Jie Zhang 002; Dacheng Tao (CoRR, 2024)

Data Augmentation for Sequential Recommendation: A Survey. - Yizhou Dang; Enneng Yang; Yuting Liu 003; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Guibing Guo; Xingwei Wang 001; Xiaochun Cao; Jie Zhang 002; Dacheng Tao (CoRR, 2024)

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. - Li Shen 008; Anke Tang; Enneng Yang; Guibing Guo; Yong Luo 002; Lefei Zhang; Xiaochun Cao; Bo Du 001; Dacheng Tao (CoRR, 2024)

Self-supervised Hierarchical Representation for Medication Recommendation. - Yuliang Liang; Yuting Liu 003; Yizhou Dang; Enneng Yang; Guibing Guo; Wei Cai; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

Video and audio are images: A cross-modal mixer for original data on video-audio retrieval. - Zichen Yuan; Qi Shen; Bingyi Zheng; Yuting Liu 003; Linying Jiang; Guibing Guo (Knowl. Based Syst., 2024)

PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews. - Huiqiong Wu; Guibing Guo; Enneng Yang; Yudong Luo; Yabo Chu; Linying Jiang; Xingwei Wang 001 (Knowl. Based Syst., 2024)

Generalized Embedding Machines for Recommender Systems. - Enneng Yang; Xin Xin 007; Li Shen 008; Yudong Luo; Guibing Guo (Mach. Intell. Res., 2024)

TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation. - Yizhou Dang; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Xiaoxiao Xu; Qinghui Sun; Hong Liu (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. - Derun Song; Enneng Yang; Guibing Guo; Li Shen 008; Linying Jiang; Xingwei Wang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback. - Yuliang Liang; Enneng Yang; Guibing Guo; Wei Cai; Linying Jiang; Xingwei Wang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Continual Learning From a Stream of APIs. - Enneng Yang; Zhenyi Wang 001; Li Shen 008; Nan Yin; Tongliang Liu; Guibing Guo; Xingwei Wang 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity. - Yizhou Dang; Jiahui Zhang; Yuting Liu 003; Enneng Yang; Yuliang Liang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation. - Shuwei Gong; Yuting Liu 003; Yizhou Dang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. - Pengxiang Lan; Enneng Yang; Yuting Liu 003; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. - Yuting Liu 003; Jinghao Zhang; Yizhou Dang; Yuliang Liang; Qiang Liu 006; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

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 001 (ACL (1), 2025)

Harnessing Content and Structure in ID for Multimodal Recommendation. - Yuting Liu 003; Enneng Yang; Yizhou Dang; Guibing Guo; Qiang Liu 006; Yuliang Liang; Linying Jiang; Xingwei Wang 001 (ICASSP, 2025)

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 001 (NAACL (Long Papers), 2025)

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Minhan Huang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (SIGIR, 2025)

Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation. - Fei Li 044; Qingyun Gao; Yizhou Dang; Enneng Yang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (SIGIR, 2025)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. - Chu Zhao; Enneng Yang; Yuliang Liang; Pengxiang Lan; Yuting Liu 003; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (WWW, 2025)

Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model. - Chu Zhao; Enneng Yang; Yuliang Liang; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (WWW, 2025)

Data Assetization via Resources-decoupled Federated Learning. - Jianzhe Zhao; Feida Zhu 001; Lingyan He; Zixin Tang; Mingce Gao; Shiyu Yang; Guibing Guo (CoRR, 2025)

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (ACM Trans. Inf. Syst., 2025)

Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials. - Chu Zhao; Enneng Yang; Yuting Liu 003; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (CoRR, 2025)

RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation. - Run Ling; Wenji Wang; Yuting Liu 003; Guibing Guo; Linying Jiang; Xingwei Wang 001 (CoRR, 2025)

Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Shiwei Liu 003; Guibing Guo; Xing-wei Wang 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation. - Chu Zhao; Enneng Yang; Yuliang Liang; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (ACM Trans. Inf. Syst., 2025)

Preference Logical Reasoning with Preference Operators for Explainable Recommendations. - Fei Li 044; Enneng Yang; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (ACM Trans. Inf. Syst., 2025)

Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation. - Chu Zhao; Eneng Yang; Yizhou Dang; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (CoRR, 2025)