Enneng Yang

According to our database, Enneng Yang authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continual Learning From a Stream of APIs.

Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback.

Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang

ACM Trans. Knowl. Discov. Data, September, 2024

Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System.

Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang

ACM Trans. Knowl. Discov. Data, July, 2024

TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation.

Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

IEEE Trans. Knowl. Data Eng., June, 2024

Generalized Embedding Machines for Recommender Systems.

Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo

Mach. Intell. Res., June, 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

Knowl. Based Syst., January, 2024

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.

Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao

CoRR, 2024

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao

CoRR, 2024

Data Augmentation for Sequential Recommendation: A Survey.

Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao

CoRR, 2024

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.

Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, 2024

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

CoRR, 2024

Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.

Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Repeated Padding as Data Augmentation for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

CoRR, 2024

Repeated Padding for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Representation Surgery for Multi-Task Model Merging.

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AdaMerging: Adaptive Model Merging for Multi-Task Learning.

Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation.

Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang

CoRR, 2023

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.

Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang

CoRR, 2023

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.

Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation.

Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Data Augmented Flatness-aware Gradient Projection for Continual Learning.

Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bi-directional Contrastive Distillation for Multi-behavior Recommendation.

Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2020

Generalized Embedding Machines for Recommender Systems.

Enneng Yang, Xin Xin, Li Shen, Guibing Guo

CoRR, 2020

2019

Discrete Trust-aware Matrix Factorization for Fast Recommendation.

Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019