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2020 – today
- 2024
[j5]Enneng Yang
, Xin Xin, Li Shen, Yudong Luo, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. Mach. Intell. Res. 21(3): 571-584 (2024)- [j4]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: 111133 (2024) - [j3]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): 142:1-142:20 (2024) - [j2]Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang:
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback. ACM Trans. Knowl. Discov. Data 18(8): 198:1-198:18 (2024) - [j1]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): 2686-2700 (2024) - [c10]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024 - [c9]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c8]Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao:
Repeated Padding for Sequential Recommendation. RecSys 2024: 497-506 - [i14]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. CoRR abs/2402.02705 (2024) - [i13]Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao:
Repeated Padding as Data Augmentation for Sequential Recommendation. CoRR abs/2403.06372 (2024) - [i12]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 abs/2405.11464 (2024) - [i11]Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. CoRR abs/2408.00490 (2024) - [i10]Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation. CoRR abs/2408.02691 (2024) - [i9]Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. CoRR abs/2408.07666 (2024) - [i8]Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Data Augmentation for Sequential Recommendation: A Survey. CoRR abs/2409.13545 (2024) - 2023
- [c7]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: 4225-4232 - [c6]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: 10745-10753 - [c5]Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang:
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV 2023: 5607-5616 - [c4]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: 2415-2422 - [c3]Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo:
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS 2023 - [i7]Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR abs/2307.09218 (2023) - [i6]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. CoRR abs/2309.00023 (2023) - [i5]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR abs/2310.02575 (2023) - [i4]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 abs/2311.05956 (2023) - 2022
- [c2]Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo:
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) 2022: 491-507 - [i3]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 abs/2211.15055 (2022) - [i2]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 abs/2212.08262 (2022) - 2020
- [i1]Enneng Yang, Xin Xin, Li Shen, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. CoRR abs/2002.06561 (2020)
2010 – 2019
- 2019
- [c1]Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He:
Discrete Trust-aware Matrix Factorization for Fast Recommendation. IJCAI 2019: 1380-1386
Coauthor Index
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