Wang, Xingwei

18 publications

AAAI 2025 Augmenting Sequential Recommendation with Balanced Relevance and Diversity Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

ICCV 2025 Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS Haidong Kang, Lianbo Ma, Pengjun Chen, Guo Yu, Xingwei Wang, Min Huang

AAAI 2025 CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

NeurIPS 2025 Coloring Learning for Heterophilic Graph Representation Miaomiao Huang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Meixia Wang, Xingwei Wang

NeurIPS 2025 Continual Model Merging Without Data: Dual Projections for Balancing Stability and Plasticity Enneng Yang, Anke Tang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang

AAAI 2025 EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

ICML 2025 Equivalence Is All: A Unified View for Self-Supervised Graph Learning Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang

AAAI 2025 Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

ICML 2025 N2GON: Neural Networks for Graph-of-Net with Position Awareness Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang

ICLR 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

AAAI 2024 Limited-Supervised Multi-Label Learning with Dependency Noise Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang

ICML 2024 Representation Surgery for Multi-Task Model Merging Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

IJCAI 2024 Towards Robust Multi-Label Learning Against Dirty Label Noise Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang

IJCAI 2023 Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-Basket Recommendation Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang

ICCV 2023 Data Augmented Flatness-Aware Gradient Projection for Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang

AAAI 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

IJCAI 2018 Approximating Word Ranking and Negative Sampling for Word Embedding Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang

AAAI 2018 VSE-Ens: Visual-Semantic Embeddings with Efficient Negative Sampling Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang