Publications
Publications by categories in reversed chronological order. Generated by jekyll-scholar.
2026
- Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based ApproachIn The Fourteenth International Conference on Learning Representations, 2026
- HyperNAS: Enhancing Architecture Representation for NAS Predictor via HypernetworkIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
- Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy LabelsJun 2026
- Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter ScaleJun 2026
2025
- E-3SFC: Communication-Efficient Federated Learning With Double-Way Features SynthesizingIEEE Transactions on Neural Networks and Learning Systems, Jun 2025
- Ferret: An Efficient Online Continual Learning Framework under Varying Memory ConstraintsIn IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, Jun 2025
- Style Quantization for Data-Efficient GAN TrainingIn IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, Jun 2025
2024
- An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train ModelIn IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, Jun 2024
- DeFTA: A plug-and-play peer-to-peer decentralized federated learning frameworkInf. Sci., Jun 2024
- Federated CINN Clustering for Accurate Clustered Federated LearningIn IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, Jun 2024
- Shunting at Arbitrary Feature Levels via Spatial Disentanglement: Toward Selective Image TranslationIEEE Trans. Neural Networks Learn. Syst., Jun 2024
- MS3D: A RG Flow-Based Regularization for GAN Training with Limited DataIn Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, Jun 2024
- UNITE: Multitask Learning With Sufficient Feature for Dense PredictionIEEE Trans. Syst. Man Cybern. Syst., Jun 2024