Application of Support Vector Machine in the Decision-Making of Maneuvering. - Zhuang Qi; Zheng Chang; Hanbang Song; Xinyu Zhang (ICA3PP (2), 2014)

The Ship Boundary Zone Dynamic Display System. - Jiang Li; Ji-jun Feng; Zhuang Qi; Xiao-Bo Ma; Feng-de Qu (FCST, 2015)

HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing. - Xiaming Chen; Zhuang Qi; Jianlong Xu (IEEE Access, 2020)

A derived least square fast learning network model. - Meiqi Wang; Sixian Jia; Enli Chen; Shaopu Yang; Pengfei Liu; Zhuang Qi (Appl. Intell., 2020)

Iterative gradient descent for outlier detection. - Zhuang Qi; Dazhi Jiang; Xiaming Chen (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation. - Jinxing Liu; Junjin Xiao; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

Clustering-based Curriculum Construction for Sample-Balanced Federated Learning. - Zhuang Qi; Yuqing Wang; Zitan Chen; Ran Wang; Xiangxu Meng; Lei Meng 001 (CICAI (3), 2022)

Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification. - Yuqing Wang; Xiangxian Li; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

Meta-Causal Feature Learning for Out-of-Distribution Generalization. - Yuqing Wang; Xiangxian Li; Zhuang Qi; Jingyu Li; Xuelong Li 003; Xiangxu Meng; Lei Meng 001 (ECCV Workshops (6), 2022)

Unsupervised Contrastive Masking for Visual Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Lei Meng 001; Xiangxu Meng (ICMR, 2022)

A novel density-based outlier detection method using key attributes. - Zhuang Qi; Xiaming Chen (Intell. Data Anal., 2022)

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (ICIG (4), 2023)

Learning to Fuse Residual and Conditional Information for Video Compression and Reconstruction. - Ran Wang; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (ICIG (4), 2023)

Cross-Training with Prototypical Distillation for improving the generalization of Federated Learning. - Tianhan Liu; Zhuang Qi; Zitan Chen; Xiangxu Meng; Lei Meng 001 (ICME, 2023)

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. - Haokai Ma; Zhuang Qi; Xinxin Dong; Xiangxian Li; Yuze Zheng; Xiangxu Meng; Lei Meng 001 (IJCNN, 2023)

Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification. - Yuqing Wang; Zhuang Qi; Xiangxian Li; Jinxing Liu; Xiangxu Meng; Lei Meng 001 (IJCNN, 2023)

Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning. - Zitan Chen; Zhuang Qi; Xiao Cao; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (ACM Multimedia, 2023)

Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data. - Zhuang Qi; Lei Meng 001; Zitan Chen; Han Hu 003; Hui Lin; Xiangxu Meng (ACM Multimedia, 2023)

Class-aware Convolution and Attentive Aggregation for Image Classification. - Zitan Chen; Zhuang Qi; Xiangxian Li; Yuqing Wang; Lei Meng 001; Xiangxu Meng (MMAsia, 2023)

Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning. - Zitan Chen; Zhuang Qi; Xiao Cao; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (CoRR, 2023)

Attentive Modeling and Distillation for Out-of-Distribution Generalization of Federated Learning. - Zhuang Qi; Weihao He; Xiangxu Meng; Lei Meng 001 (ICME, 2024)

Comparative Study of Neighbor-based Methods for Local Outlier Detection. - Zhuang Qi; Junlin Zhang; Xiaming Chen; Xin Qi (CoRR, 2024)

Relation Modeling and Distillation for Learning with Noisy Labels. - Xiaming Chen; Junlin Zhang; Zhuang Qi; Xin Qi (CoRR, 2024)

Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning. - Zhuang Qi; Lei Meng 001; Weihao He; Ruohan Zhang; Yu Wang; Xin Qi; Xiangxu Meng (CoRR, 2024)

Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection. - Zhuang Qi; Junlin Zhang; Xin Qi (CoRR, 2024)

Cross-modal learning using privileged information for long-tailed image classification. - Xiangxian Li; Yuze Zheng; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Media, 2024)

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification. - Lei Meng 001; Xiangxian Li; Xiaoshuo Yan; Haokai Ma; Zhuang Qi; Wei Wu; Xiangxu Meng (AAAI, 2025)

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data. - Zhuang Qi; Lei Meng 001; Zhaochuan Li; Han Hu 003; Xiangxu Meng (AAAI, 2025)

Improving Global Generalization and Local Personalization for Federated Learning. - Lei Meng 001; Zhuang Qi; Lei Wu 002; Xiaoyu Du 002; Zhaochuan Li; Lizhen Cui; Xiangxu Meng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Global Intervention and Distillation for Federated Out-of-Distribution Generalization. - Zhuang Qi; Runhui Zhang; Lei Meng 001; Wei Wu; Yachong Zhang; Xiangxu Meng (CoRR, 2025)

Federated Out-of-Distribution Generalization: A Causal Augmentation View. - Runhui Zhang; Sijin Zhou; Zhuang Qi (CoRR, 2025)

Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory. - Xiaozheng Qu; Zhaochuan Li; Zhuang Qi; Xiang Li; Haibei Huang; Lei Meng 001; Xiangxu Meng (CoRR, 2025)

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. - Zhuang Qi; Sijin Zhou; Lei Meng 001; Han Hu 003; Han Yu 001; Xiangxu Meng (CoRR, 2025)

Semantic-Space-Intervened Diffusive Alignment for Visual Classification. - Zixuan Li; Lei Meng 001; Guoqing Chao; Wei Wu; Xiaoshuo Yan; Yimeng Yang; Zhuang Qi; Xiangxu Meng (CoRR, 2025)

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification. - Xiaoshuo Yan; Zhaochuan Li; Lei Meng 001; Zhuang Qi; Wei Wu; Zixuan Li; Xiangxu Meng (CoRR, 2025)

Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning. - Zhuang Qi; Lei Meng; Han Yu (CoRR, 2025)

ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification. - Kexuan Shi; Zhuang Qi; Jingjing Zhu; Lei Meng 001; Yaochen Zhang; Haibei Huang; Xiangxu Meng (CoRR, 2025)