Guangji Bai

According to our database1, Guangji Bai authored at least 18 papers between 2022 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.
CoRR, 2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR, 2024

2023
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.
CoRR, 2023

Visual Attention-Prompted Prediction and Learning.
CoRR, 2023

Saliency-Guided Hidden Associative Replay for Continual Learning.
CoRR, 2023

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR, 2023

Domain Generalization Deep Graph Transformation.
CoRR, 2023

Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR, 2023

Sign-Regularized Multi-Task Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Saliency-Augmented Memory Completion for Continual Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR, 2022

Temporal Domain Generalization with Drift-Aware Dynamic Neural Network.
CoRR, 2022

RES: A Robust Framework for Guiding Visual Explanation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Saliency-Regularized Deep Multi-Task Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deep Spatial Domain Generalization.
Proceedings of the IEEE International Conference on Data Mining, 2022


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