Guangji Bai

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 28

Top Topics

Top Venues

Publications

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl J. Yang, Yue Cheng, Liang Zhao
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR (2024)
Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao
Deep Causal Generative Models with Property Control. CoRR (2024)
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
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT (2024)
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR (2024)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD (2024)
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
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR (2024)
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
Continuous Temporal Domain Generalization. CoRR (2024)
Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
Quantifying uncertainty in graph neural network explanations. Frontiers Big Data 7 (2024)
Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE (2023)
Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca
Sign-Regularized Multi-Task Learning. SDM (2023)
Guangji Bai, Chen Ling, Liang Zhao
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. ICLR (2023)
Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao
Saliency-Guided Hidden Associative Replay for Continual Learning. CoRR (2023)
Shiyu Wang, Guangji Bai, Qingyang Zhu, Zhaohui Qin, Liang Zhao
Domain Generalization Deep Graph Transformation. CoRR (2023)
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. CoRR (2023)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR (2023)
Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao
Visual Attention-Prompted Prediction and Learning. CoRR (2023)
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR (2023)
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
Saliency-Augmented Memory Completion for Continual Learning. SDM (2023)
Guangji Bai, Liang Zhao
Saliency-Regularized Deep Multi-Task Learning. KDD (2022)
Guangji Bai, Ling Chen, Liang Zhao
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. CoRR (2022)
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
RES: A Robust Framework for Guiding Visual Explanation. KDD (2022)
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
RES: A Robust Framework for Guiding Visual Explanation. CoRR (2022)
Guangji Bai, Liang Zhao
Saliency-Regularized Deep Multi-Task Learning. CoRR (2022)
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. CoRR (2022)
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
Deep Spatial Domain Generalization. CoRR (2022)
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
Saliency-Augmented Memory Completion for Continual Learning. CoRR (2022)
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
Deep Spatial Domain Generalization. ICDM (2022)
Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina L. Abad
Sign-regularized Multi-task Learning. CoRR (2021)