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

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

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)

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)

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)

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)

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)

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)

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)

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)

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; 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)

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging. - Anke Tang; Enneng Yang; Li Shen 008; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2025)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. - Zhenyi Wang 001; Enneng Yang; Li Shen 008; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging. - Yongxian Wei; Runxi Cheng; Weike Jin; Enneng Yang; Li Shen 008; Lu Hou; Sinan Du; Chun Yuan; Xiaochun Cao; Dacheng Tao (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; Enneng Yang; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (ACM Trans. Inf. Syst., 2025)