Shiji Zhou

Orcid: 0000-0002-0666-0769

According to our database1, Shiji Zhou authored at least 18 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification.
IEEE Trans. Knowl. Data Eng., May, 2024

Robust Multi-Task Learning with Excess Risks.
CoRR, 2024

2023
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach.
IEEE Trans. Multim., 2023

Gradient-based Parameter Selection for Efficient Fine-Tuning.
CoRR, 2023

Color Image Edge Detection Method Based on the Improved Whale Optimization Algorithm.
IEEE Access, 2023

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Dynamic Edge Caching via Online Meta-RL.
Proceedings of the International Joint Conference on Neural Networks, 2023

Analyze and identify the composition of glass products based on statistical analysis methods.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-Objective Online Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Active Gradual Domain Adaptation: Dataset and Approach.
IEEE Trans. Multim., 2022

Algorithms and Theory for Supervised Gradual Domain Adaptation.
Trans. Mach. Learn. Res., 2022

On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Continual Adaptation with Active Self-Training.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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