Enneng Yang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Adaptive Learning Rate

Matrix Factorization

Content And Structure

Multitask Learning

Top Venues

Publications

Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo
Generalized Embedding Machines for Recommender Systems. Mach. Intell. Res. 21 (3) (2024)
Huiqiong Wu, Guibing Guo, Enneng Yang, Yudong Luo, Yabo Chu, Linying Jiang, Xingwei Wang
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews. Knowl. Based Syst. 283 (2024)
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
Repeated Padding as Data Augmentation for Sequential Recommendation. CoRR (2024)
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR (2024)
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR (2023)
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. AAAI (2023)
Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. IJCAI (2023)
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. CoRR (2023)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI (2023)
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS (2023)
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
Continual Learning From a Stream of APIs. CoRR (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV (2023)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR (2022)
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. CoRR (2022)
Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) (2022)
Enneng Yang, Xin Xin, Li Shen, Guibing Guo
Generalized Embedding Machines for Recommender Systems. CoRR (2020)
Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He
Discrete Trust-aware Matrix Factorization for Fast Recommendation. IJCAI (2019)