Enneng Yang

68 papers A* 16A 1Misc 1Journal 46Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation.
CoRR
Chu Zhao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026 J jnl
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning.
CoRR
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo
2026 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2026 A* conf
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation.
AAAI
Fei Li, Qingyun Gao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026 J jnl
MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging.
CoRR
Tianjun Wei, Enneng Yang, Yingpeng Du, Huizhong Guo, Jie Zhang, Zhu Sun
2026 J jnl
Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models.
CoRR
Yingsha Xie, Tiansheng Huang, Enneng Yang, Rui Min, Wenjie Lu, Xiaochun Cao, Naiqiang Tan, Li Shen
2026 J jnl
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications, and Opportunities.
ACM Comput. Surv.
Enneng Yang, Li Shen, Guibing Guo, Xing-wei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2025 J jnl
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2025 J jnl
Answer Semantics-enhanced Medical Visual Question Answering.
Mach. Intell. Res.
Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
AAAI
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Breaking Expert Knowledge Limits: Self-Pruning for Large Language Models.
CoRR
Haidong Kang, Lihong Lin, Enneng Yang, Hongning Dai, Hao Wang
2025 J jnl
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials.
CoRR
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yizhou Dang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 A* conf
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
SIGIR
Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xing-wei Wang
2025 A* conf
Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation.
SIGIR
Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
WWW
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 A* conf
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
AAAI
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.
ACM Trans. Inf. Syst.
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 — conf
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.
NAACL (Long Papers)
Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product.
CoRR
Pengxiang Lan, Haoyu Xu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xing-wei Wang
2025 J jnl
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion.
J. Mach. Learn. Res.
Anke Tang, Li Shen, Yong Luo, Enneng Yang, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 A* conf
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
WWW
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 Misc conf
Harnessing Content and Structure in ID for Multimodal Recommendation.
ICASSP
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
2025 — conf
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models.
ACL (1)
Haoyu Xu, Pengxiang Lan, Enneng Yang, Guibing Guo, Jianzhe Zhao, Linying Jiang, Xingwei Wang
2025 J jnl
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging.
CoRR
Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2025 J jnl
Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing.
CoRR
Zihao Wang, Enneng Yang, Lu Yin, Shiwei Liu, Li Shen
2025 J jnl
Preference Logical Reasoning with Preference Operators for Explainable Recommendations.
ACM Trans. Inf. Syst.
Fei Li, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2025 A* conf
Representation Surgery in Model Merging with Probabilistic Modeling.
ICML
Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An
2025 J jnl
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xing-wei Wang, Dacheng Tao
2025 — conf
Self-supervised Hierarchical Representation for Medication Recommendation.
DASFAA (5)
Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang
2025 J jnl
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
ACM Trans. Inf. Syst.
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2025 J jnl
Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging.
CoRR
Yongxian Wei, Runxi Cheng, Weike Jin, Enneng Yang, Li Shen, Lu Hou, Sinan Du, Chun Yuan, Xiaochun Cao, Dacheng Tao
2024 A* conf
AdaMerging: Adaptive Model Merging for Multi-Task Learning.
ICLR
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
Augmenting Sequential Recommendation with Balanced Relevance and Diversity.
CoRR
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Continual Learning From a Stream of APIs.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
Data Augmentation for Sequential Recommendation: A Survey.
CoRR
Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback.
ACM Trans. Knowl. Discov. Data
Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang
2024 J jnl
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.
CoRR
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang
2024 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
CoRR
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2024 J jnl
Generalized Embedding Machines for Recommender Systems.
Mach. Intell. Res.
Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo
2024 J jnl
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2024 J jnl
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
CoRR
Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024 J jnl
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System.
ACM Trans. Knowl. Discov. Data
Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang
2024 J jnl
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews.
Knowl. Based Syst.
Huiqiong Wu, Guibing Guo, Enneng Yang, Yudong Luo, Yabo Chu, Linying Jiang, Xingwei Wang
2024 J jnl
Repeated Padding as Data Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
2024 A conf
Repeated Padding for Sequential Recommendation.
RecSys
Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
2024 A* conf
Representation Surgery for Multi-Task Model Merging.
ICML
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Representation Surgery for Multi-Task Model Merging.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Self-supervised Hierarchical Representation for Medication Recommendation.
CoRR
Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang
2024 J jnl
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024 J jnl
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
CoRR
Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang
2024 J jnl
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation.
IEEE Trans. Knowl. Data Eng.
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
2023 J jnl
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.
CoRR
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2023 J jnl
AdaMerging: Adaptive Model Merging for Multi-Task Learning.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 A* conf
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.
AAAI
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2023 A* conf
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.
NeurIPS
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
2023 A* conf
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation.
IJCAI
Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang
2023 J jnl
Continual Learning From a Stream of APIs.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 A* conf
Data Augmented Flatness-aware Gradient Projection for Continual Learning.
ICCV
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
2023 J jnl
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation.
CoRR
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
2023 A* conf
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation.
AAAI
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
2022 J jnl
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning.
CoRR
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2022 — conf
Bi-directional Contrastive Distillation for Multi-behavior Recommendation.
ECML/PKDD (1)
Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo
2022 J jnl
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation.
CoRR
Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
2020 J jnl
Generalized Embedding Machines for Recommender Systems.
CoRR
Enneng Yang, Xin Xin, Li Shen, Guibing Guo
2019 A* conf
Discrete Trust-aware Matrix Factorization for Fast Recommendation.
IJCAI
Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He