Zijian Gao
Orcid: 0000-0001-5151-3381
According to our database1,
Zijian Gao
authored at least 50 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
CoRR, May, 2025
CoRR, April, 2025
IEEE Trans. Netw. Serv. Manag., February, 2025
Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning.
IEEE Open J. Comput. Soc., 2025
A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis.
Expert Syst. Appl., 2025
Coarse-to-fine hybrid network for robust medical image registration in the presence of large deformations.
Biomed. Signal Process. Control., 2025
Self-supervised Bidirectional Synchronization Estimation for Multimodal Deepfake Detection with Short-term Dependency.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
SSAST-Adapter: A Parameter-efficient Incremental Learning Algorithm for Underwater Acoustic Target Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Text-guided Multimodal Fusion for the Multimodal Emotion and Intent Joint Understanding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Artif. Intell., November, 2024
IEEE Trans. Artif. Intell., May, 2024
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems.
IEEE Robotics Autom. Lett., January, 2024
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning.
Neural Networks, 2024
AudioCIL: A Python Toolbox for Audio Class-Incremental Learning with Multiple Scenes.
CoRR, 2024
Exploring structure diversity in atomic resolution microscopy with graph neural networks.
CoRR, 2024
Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior.
CoRR, 2024
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Neural Comput. Appl., 2023
Scheduling Optimization of Multiple Cranes with Multiple Blocks in Container Yards Based on SAA and GA.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2023
Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Patterns, 2022
CoRR, 2022
CoRR, 2022
2021
Neurocomputing, 2021
KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning.
Entropy, 2021
CoRR, 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning.
CoRR, 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning.
CoRR, 2021
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Security-Driven hybrid collaborative recommendation method for cloud-based iot services.
Comput. Secur., 2020
2019
Random forest model identifies serve strength as a key predictor of tennis match outcome.
CoRR, 2019