EY
Enneng Yang
cs.LGcs.AIcs.IRcs.CVcs.CLstat.MLcs.GRcs.SI
On Valency
published · living versionsW_89re7bev·v1 · currentpublished
Fine-Grained Analysis of Catastrophic Forgetting in Continual Learning via Algorithmic Stability
with Guodong Zheng, Yan Sun, Peng Wang, Jiafei Lyu +3
1 version
Preprints & journals
34 papers in the corpus · 2020–2026Fine-Grained Analysis of Catastrophic Forgetting in Continual Learning via Algorithmic Stability2610.31551v1 · Guodong Zheng, Yan Sun, Peng Wang et al.2026 · 0 citationsarXivon Valency
When Semantics Fall Short: Persona-Guided Cross-Domain Sequential Recommendation with Large Language Models2610.25221v1 · Jundong Chen, Honglei Zhang, Shuai An et al.2026 · 0 citationsarXivon Valency
LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning2606.24901v1 · Hao Jiang, Enneng Yang, Guojie Zhu et al.2026 · 0 citationsarXiv
Exploring and Tailoring the Test-Time Augmentation for Sequential Recommendation.41671127 · Dang, Yizhou, Yang, Enneng, Liu, Yuting et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(6):6999-7016
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation2603.22335v2 · Chu Zhao, Enneng Yang, Jianzhe Zhao et al.2026 · 0 citationsarXiv
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.41196794 · Shen, Li, Tang, Anke, Yang, Enneng et al.2025 · 3 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;PP
Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models2602.02136v1 · Yingsha Xie, Tiansheng Huang, Enneng Yang et al.2026 · 0 citationsarXiv
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning2602.02150v2 · Chu Zhao, Enneng Yang, Yuting Liu et al.2026 · 0 citationsarXiv
MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging2601.15930v2 · Tianjun Wei, Enneng Yang, Yingpeng Du et al.2026 · 0 citationsarXiv
Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing2509.01548v1 · Zihao Wang, Enneng Yang, Lu Yin et al.2025 · 0 citationsarXiv
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection.40031774 · Yang, Enneng, Shen, Li, Wang, Zhenyi et al.2025 · 5 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;47(5):3895-3907
Hard Negative Sampling via Large Language Models for Recommendation2504.04726v2 · Chu Zhao, Enneng Yang, Yuting Liu et al.2025 · 0 citationsarXiv
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation2504.04843v3 · Yizhou Dang, Yuting Liu, Enneng Yang et al.2025 · 11 citationsarXiv
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product2502.12200v1 · Pengxiang Lan, Haoyu Xu, Enneng Yang et al.2025 · 3 citationsNAACL 2025 main conference
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model2501.15555v1 · Chu Zhao, Enneng Yang, Yuliang Liang et al.2025 · 7 citationsarXiv
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging2501.09522v1 · Anke Tang, Enneng Yang, Li Shen et al.2025 · 0 citationsarXiv
Augmenting Sequential Recommendation with Balanced Relevance and Diversity2412.08300v3 · Yizhou Dang, Jiahui Zhang, Yuting Liu et al.2024 · 21 citationsarXiv
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.40030369 · Wang, Zhenyi, Yang, Enneng, Shen, Li et al.2025 · 88 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;PP
Continual Learning From a Stream of APIs.39302780 · Yang, Enneng, Wang, Zhenyi, Shen, Li et al.2024 · 3 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;46(12):11432-11445
Self-supervised Hierarchical Representation for Medication Recommendation2411.03143v1 · Yuliang Liang, Yuting Liu, Yizhou Dang et al.2024 · 1 citationarXiv
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery2410.14389v1 · Enneng Yang, Li Shen, Zhenyi Wang et al.2024 · 0 citationsarXiv
Data Augmentation for Sequential Recommendation: A Survey2409.13545v1 · Yizhou Dang, Enneng Yang, Yuting Liu et al.2024 · 3 citationsarXiv
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities2408.07666v5 · Enneng Yang, Li Shen, Guibing Guo et al.2024 · 26 citationsarXiv
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation2408.02691v1 · Chu Zhao, Enneng Yang, Yuliang Liang et al.2024 · 10 citationsarXiv
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation2408.00490v4 · Chu Zhao, Enneng Yang, Yuliang Liang et al.2024 · 13 citationsarXiv
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion2406.03280v4 · Anke Tang, Li Shen, Yong Luo et al.2024 · 3 citationsarXiv
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion2405.11464v3 · Pengxiang Lan, Enneng Yang, Yuting Liu et al.2024 · 1 citationarXiv
Repeated Padding+: Simple yet Effective Data Augmentation Plugin for Sequential Recommendation2403.06372v3 · Yizhou Dang, Yuting Liu, Enneng Yang et al.2024 · 1 citationarXiv
Representation Surgery for Multi-Task Model Merging2402.02705v2 · Enneng Yang, Li Shen, Zhenyi Wang et al.2024 · 5 citationsarXiv
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation2311.05956v2 · Yuting Liu, Enneng Yang, Yizhou Dang et al.2023 · 4 citationsarXiv
AdaMerging: Adaptive Model Merging for Multi-Task Learning2310.02575v2 · Enneng Yang, Zhenyi Wang, Li Shen et al.2023 · 7 citationsarXiv
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation2212.08262v2 · Yizhou Dang, Enneng Yang, Guibing Guo et al.2022 · 96 citationsarXiv
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning2211.15055v2 · Enneng Yang, Junwei Pan, Ximei Wang et al.2022 · 57 citationsProceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023). Vol. 37. No. 9. 2023
Generalized Embedding Machines for Recommender Systems2002.06561v1 · Enneng Yang, Xin Xin, Li Shen et al.2020 · 2 citationsMachine Intelligence Research (2024): 1-14
Career total: 68 works. 34 are in this corpus.
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