A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections. - Cong Xu 005; Min Yang 009; Jin Zhang 004 (CoRR, 2019)

Improve Adversarial Robustness via Weight Penalization on Classification Layer. - Cong Xu 005; Dan Li; Min Yang 009 (CoRR, 2020)

Adversarial Momentum-Contrastive Pre-Training. - Cong Xu 005; Min Yang 009 (CoRR, 2020)

Missingness Augmentation: A General Approach for Improving Generative Imputation Models. - Yufeng Wang 012; Dan Li; Cong Xu 005; Min Yang 009 (CoRR, 2021)

Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions. - Yufeng Wang 012; Dan Li; Cong Xu 005; Min Yang 009 (CoRR, 2022)

Understanding Adversarial Robustness from Feature Maps of Convolutional Layers. - Cong Xu 005; Min Yang 009 (CoRR, 2022)

Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems. - Yufeng Wang 012; Cong Xu 005; Min Yang 009; Jin Zhang 004 (CoRR, 2022)

An orthogonal classifier for improving the adversarial robustness of neural networks. - Cong Xu 005; Xiang Li 088; Min Yang 009 (Inf. Sci., 2022)

Adversarial momentum-contrastive pre-training. - Cong Xu 005; Dan Li; Min Yang 009 (Pattern Recognit. Lett., 2022)

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. - Cong Xu 005; Jun Wang 006; Jianyong Wang 001; Wei Zhang 056 (NeurIPS, 2024)

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation. - Cong Xu 005; Zhangchi Zhu; Jun Wang 006; Jianyong Wang 001; Wei Zhang 056 (CoRR, 2024)

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. - Cong Xu 005; Zhangchi Zhu; Mo Yu; Jun Wang 006; Jianyong Wang 001; Wei Zhang 056 (CoRR, 2024)

CAdam: Confidence-Based Optimization for Online Learning. - Shaowen Wang 002; Anan Liu; Jian Xiao; Huan Liu; Yuekui Yang; Cong Xu 005; Qianqian Pu; Suncong Zheng; Wei Zhang 056; Jian Li (CoRR, 2024)

StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. - Cong Xu 005; Jun Wang 006; Wei Zhang 056 (IEEE Trans. Knowl. Data Eng., 2024)

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. - Cong Xu 005; Yunhang He; Jun Wang 006; Wei Zhang 056 (AAAI, 2025)

Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information. - Yunhang He; Cong Xu 005; Jun Wang 006; Wei Zhang 056 (KDD (2), 2025)

Understanding Adversarial Robustness From Feature Maps of Convolutional Layers. - Cong Xu 005; Wei Zhang 056; Jun Wang 006; Min Yang 009 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics. - Cong Xu 005; Wenbin Liang; Mo Yu; Anan Liu; Ke-Yue Zhang; Lizhuang Ma; Jianyong Wang 001; Jun Wang 006; Wei Zhang 056 (CoRR, 2025)

Pattern-Wise Transparent Sequential Recommendation. - Kun Ma; Cong Xu 005; Zeyuan Chen; Wei Zhang 056 (IEEE Trans. Knowl. Data Eng., 2025)

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation. - Minhao Wang; Yunhang He; Cong Xu 005; Zhangchi Zhu; Wei Zhang 056 (CoRR, 2025)