Zhuang Qi

Orcid: 0000-0003-3433-7413

According to our database1, Zhuang Qi authored at least 46 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity.
CoRR, April, 2026

FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment.
CoRR, March, 2026

Federated learning in oncology: Bridging artificial intelligence innovation and privacy protection.
Inf. Fusion, 2026

ProtoConNet: Prototypical augmentation and alignment for open-set few-shot image classification.
Displays, 2026

Two Heads Are Better Than One: Generalized Cross-Domain Federated Learning via Dual-Prototype.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Explicit Modeling of Causal Factors and Confounders for Image Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning.
CoRR, September, 2025

Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning.
CoRR, July, 2025

Federated Out-of-Distribution Generalization: A Causal Augmentation View.
CoRR, April, 2025

Improving Global Generalization and Local Personalization for Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Comparative study of neighbor-based methods for local outlier detection.
J. Ambient Intell. Smart Environ., 2025

Class-wise Balancing Data Replay for Federated Class-Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory.
Proceedings of the International Joint Conference on Neural Networks, 2025

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Semantic-Space-Intervened Diffusive Alignment for Visual Classification.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Estimating Cluster Stability in Adaptive Resonance Theory for XR Image Understanding.
Proceedings of the Extended Reality - International Conference, 2025

Global Intervention and Distillation for Federated Out-of-Distribution Generalization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Cross-modal learning using privileged information for long-tailed image classification.
Comput. Vis. Media, October, 2024

Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection.
CoRR, 2024

Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning.
CoRR, 2024

Relation Modeling and Distillation for Learning with Noisy Labels.
CoRR, 2024

Attentive Modeling and Distillation for Out-of-Distribution Generalization of Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning.
CoRR, 2023

Class-aware Convolution and Attentive Aggregation for Image Classification.
Proceedings of the ACM Multimedia Asia 2023, 2023

Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Cross-Training with Prototypical Distillation for improving the generalization of Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Learning to Fuse Residual and Conditional Information for Video Compression and Reconstruction.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
A novel density-based outlier detection method using key attributes.
Intell. Data Anal., 2022

Unsupervised Contrastive Masking for Visual Haze Classification.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Meta-Causal Feature Learning for Out-of-Distribution Generalization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Clustering-based Curriculum Construction for Sample-Balanced Federated Learning.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Iterative gradient descent for outlier detection.
Int. J. Wavelets Multiresolution Inf. Process., 2021

2020
A derived least square fast learning network model.
Appl. Intell., 2020

HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing.
IEEE Access, 2020

2015
The Ship Boundary Zone Dynamic Display System.
Proceedings of the Ninth International Conference on Frontier of Computer Science and Technology, 2015

2014
Application of Support Vector Machine in the Decision-Making of Maneuvering.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014


  Loading...