Publications

Cong Xu, Yunhang He, Jun Wang*, Wei Zhang*. STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. AAAI, 2025. [PDF]

Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang*, Jianyong Wang, Wei Zhang*. Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. 2024.    [PDF]

Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang*. Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. NeurIPS, 2024.    [PDF]

Cong Xu, Wei Zhang, Jun Wang, Min Yang*. Understanding Adversarial Robustness From Feature Maps of Convolutional Layers. TNNLS, 2024.    [PDF]

Cong Xu, Jun Wang*, Wei Zhang*. StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. TKDE, 2023.    [PDF]

Cong Xu, Xiang Li, Min Yang*. An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks. Information Sciences, 2022.    [PDF]

Cong Xu, Min Yang*, Jin Zhang. Fast Deflation Sparse Principal Component Analysis via Subspace Projections. Statistical Computation and Simulation, 2020.    [PDF]