Cong Xu - RankMe

25 papers A* 2Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation. CoRR Minhao Wang, Yunhang He, Cong Xu, Zhangchi Zhu, Wei Zhang
2025	—	`conf`	Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information. KDD (2) Yunhang He, Cong Xu, Jun Wang, Wei Zhang
2025	J	`jnl`	Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information. CoRR Yunhang He, Cong Xu, Jun Wang, Wei Zhang
2025	J	`jnl`	Pattern-Wise Transparent Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Kun Ma, Cong Xu, Zeyuan Chen, Wei Zhang
2025	J	`jnl`	Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics. CoRR Cong Xu, Wenbin Liang, Mo Yu, Anan Liu, Ke-Yue Zhang, Lizhuang Ma, Jianyong Wang, Jun Wang, Wei Zhang
2025	A*	`conf`	STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. AAAI Cong Xu, Yunhang He, Jun Wang, Wei Zhang
2025	J	`jnl`	Understanding Adversarial Robustness From Feature Maps of Convolutional Layers. IEEE Trans. Neural Networks Learn. Syst. Cong Xu, Wei Zhang, Jun Wang, Min Yang
2024	J	`jnl`	Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. CoRR Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang
2024	J	`jnl`	CAdam: Confidence-Based Optimization for Online Learning. CoRR Shaowen Wang, Anan Liu, Jian Xiao, Huan Liu, Yuekui Yang, Cong Xu, Qianqian Pu, Suncong Zheng, Wei Zhang, Jian Li
2024	A*	`conf`	Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. NeurIPS Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
2024	J	`jnl`	Pattern-wise Transparent Sequential Recommendation. CoRR Kun Ma, Cong Xu, Zeyuan Chen, Wei Zhang
2024	J	`jnl`	STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. CoRR Cong Xu, Yunhang He, Jun Wang, Wei Zhang
2024	J	`jnl`	StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Cong Xu, Jun Wang, Wei Zhang
2024	J	`jnl`	Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation. CoRR Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang
2023	J	`jnl`	Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. CoRR Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
2022	J	`jnl`	Adversarial momentum-contrastive pre-training. Pattern Recognit. Lett. Cong Xu, Dan Li, Min Yang
2022	J	`jnl`	An orthogonal classifier for improving the adversarial robustness of neural networks. Inf. Sci. Cong Xu, Xiang Li, Min Yang
2022	J	`jnl`	Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions. CoRR Yufeng Wang, Dan Li, Cong Xu, Min Yang
2022	J	`jnl`	Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems. CoRR Yufeng Wang, Cong Xu, Min Yang, Jin Zhang
2022	J	`jnl`	Understanding Adversarial Robustness from Feature Maps of Convolutional Layers. CoRR Cong Xu, Min Yang
2021	J	`jnl`	An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks. CoRR Cong Xu, Xiang Li, Min Yang
2021	J	`jnl`	Missingness Augmentation: A General Approach for Improving Generative Imputation Models. CoRR Yufeng Wang, Dan Li, Cong Xu, Min Yang
2020	J	`jnl`	Adversarial Momentum-Contrastive Pre-Training. CoRR Cong Xu, Min Yang
2020	J	`jnl`	Improve Adversarial Robustness via Weight Penalization on Classification Layer. CoRR Cong Xu, Dan Li, Min Yang
2019	J	`jnl`	A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections. CoRR Cong Xu, Min Yang, Jin Zhang