Chen, Hongxu

11 publications

NeurIPS 2025 A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization Hongxu Chen, Ke Wei, Haishan Ye, Luo Luo

CVPR 2025 IterIS: Iterative Inference-Solving Alignment for LoRA Merging Hongxu Chen, Zhen Wang, Runshi Li, Bowei Zhu, Long Chen

CVPR 2025 MobileMamba: Lightweight Multi-Receptive Visual Mamba Network Haoyang He, Jiangning Zhang, Yuxuan Cai, Hongxu Chen, Xiaobin Hu, Zhenye Gan, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Lei Xie

AAAI 2024 A Diffusion-Based Framework for Multi-Class Anomaly Detection Haoyang He, Jiangning Zhang, Hongxu Chen, Xuhai Chen, Zhishan Li, Xu Chen, Yabiao Wang, Chengjie Wang, Lei Xie

NeurIPS 2024 MambaAD: Exploring State Space Models for Multi-Class Unsupervised Anomaly Detection Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie

ICLR 2024 Rethinking the Symmetry-Preserving Circuits for Constrained Variational Quantum Algorithms Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan

AAAI 2024 Unsupervised Group Re-Identification via Adaptive Clustering-Driven Progressive Learning Hongxu Chen, Quan Zhang, Jian-Huang Lai, Xiaohua Xie

NeurIPS 2023 An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu

ICML 2022 GenLabel: Mixup Relabeling Using Generative Models Jy-Yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris Papailiopoulos, Kangwook Lee

ICLR 2021 Is Attention Better than Matrix Decomposition? Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin

IJCAI 2019 Inferring Substitutable Products with Deep Network Embedding Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen