Guangji Bai

According to our database, Guangji Bai authored at least 24 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying uncertainty in graph neural network explanations.

Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao

Frontiers Big Data, 2024

Deep Causal Generative Models with Property Control.

Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao

CoRR, 2024

Continuous Temporal Domain Generalization.

Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao

CoRR, 2024

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

Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao

CoRR, 2024

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

Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen

CoRR, 2024

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

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao

CoRR, 2024

Uncertainty Quantification for In-Context Learning of Large Language Models.

Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.

Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Visual Attention Prompted Prediction and Learning.

Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

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

Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen

CoRR, 2023

Visual Attention-Prompted Prediction and Learning.

Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao

CoRR, 2023

Saliency-Guided Hidden Associative Replay for Continual Learning.

Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao

CoRR, 2023

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

Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao

CoRR, 2023

Domain Generalization Deep Graph Transformation.

Shiyu Wang, Guangji Bai, Qingyang Zhu, Zhaohui Qin, Liang Zhao

CoRR, 2023

Knowledge-enhanced Neural Machine Reasoning: A Review.

Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao

CoRR, 2023

Sign-Regularized Multi-Task Learning.

Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Saliency-Augmented Memory Completion for Continual Learning.

Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks.

Guangji Bai, Chen Ling, Liang Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.

Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.

Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng

CoRR, 2022

Temporal Domain Generalization with Drift-Aware Dynamic Neural Network.

Guangji Bai, Ling Chen, Liang Zhao

CoRR, 2022

RES: A Robust Framework for Guiding Visual Explanation.

Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao

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.

Guangji Bai, Liang Zhao

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.

Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2022