Zijian Gao

Orcid: 0000-0001-5151-3381

According to our database1, Zijian Gao authored at least 29 papers between 2019 and 2025.

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

Timeline

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Links

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Bibliography

2025
Coarse-to-fine hybrid network for robust medical image registration in the presence of large deformations.
Biomed. Signal Process. Control., 2025

2024
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.
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

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior.
CoRR, 2024

Tracing Training Progress: Dynamic Influence Based Selection for Active Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Temporal Inconsistency-Based Active Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-scale confusion and filling mechanism for pressure footprint recognition.
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

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge.
Patterns, 2022

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning.
CoRR, 2022

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration.
CoRR, 2022

Nuclear Norm Maximization Based Curiosity-Driven Learning.
CoRR, 2022

FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography.
CoRR, 2022

2021
MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification.
Neurocomputing, 2021

KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning.
Entropy, 2021

CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval.
CoRR, 2021

Coarse to Fine: Video Retrieval before Moment Localization.
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

Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence Segmentation.
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

The Imaging of Magnetic Nanoparticles with Low-power Magnetoacoustic Tomography.
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


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