Guangji Bai

40 papers A* 9A 4Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Continuous Domain Generalization.
CoRR
Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao
2025 J jnl
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation.
CoRR
Mengdan Zhu, Senhao Cheng, Guangji Bai, Yifei Zhang, Liang Zhao
2025 — conf
FedSpaLLM: Federated Pruning of Large Language Models.
NAACL (Long Papers)
Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2025 A conf
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.
CIKM
Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu
2025 — conf
Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations.
KDD (2)
Yifei Zhang, James Song, Siyi Gu, Tianxu Jiang, Bo Pan, Guangji Bai, Liang Zhao
2025 A conf
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
SDM
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2025 J jnl
StructPrune: Structured Global Pruning asymptotics with 𝒪(√N) GPU Memory.
CoRR
Xinyuan Song, Guangji Bai, Liang Zhao
2024 J jnl
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR
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
2024 A* conf
Continuous Temporal Domain Generalization.
NeurIPS
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Continuous Temporal Domain Generalization.
CoRR
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Deep Causal Generative Models with Property Control.
CoRR
Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao
2024 J jnl
FedSpaLLM: Federated Pruning of Large Language Models.
CoRR
Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2024 J jnl
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.
CoRR
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024 J jnl
MEGL: Multimodal Explanation-Guided Learning.
CoRR
Yifei Zhang, Tianxu Jiang, Bo Pan, Jingyu Wang, Guangji Bai, Liang Zhao
2024 A* conf
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.
KDD
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2024 J jnl
Quantifying uncertainty in graph neural network explanations.
Frontiers Big Data
Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
2024 A* conf
SparseLLM: Towards Global Pruning of Pre-trained Language Models.
NeurIPS
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024 J jnl
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR
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
2024 — conf
Uncertainty Quantification for In-Context Learning of Large Language Models.
NAACL-HLT
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
2024 A* conf
Visual Attention Prompted Prediction and Learning.
IJCAI
Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao
2023 J jnl
Domain Generalization Deep Graph Transformation.
CoRR
Shiyu Wang, Guangji Bai, Qingyang Zhu, Zhaohui Qin, Liang Zhao
2023 A* conf
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.
ICDE
Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang
2023 J jnl
Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
2023 J jnl
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.
CoRR
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2023 A conf
Saliency-Augmented Memory Completion for Continual Learning.
SDM
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
2023 J jnl
Saliency-Guided Hidden Associative Replay for Continual Learning.
CoRR
Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao
2023 A conf
Sign-Regularized Multi-Task Learning.
SDM
Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca
2023 J jnl
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2023 A* conf
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks.
ICLR
Guangji Bai, Chen Ling, Liang Zhao
2023 J jnl
Visual Attention-Prompted Prediction and Learning.
CoRR
Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao
2022 A* conf
Deep Spatial Domain Generalization.
ICDM
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 J jnl
Deep Spatial Domain Generalization.
CoRR
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 J jnl
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
2022 A* conf
RES: A Robust Framework for Guiding Visual Explanation.
KDD
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
2022 J jnl
RES: A Robust Framework for Guiding Visual Explanation.
CoRR
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
2022 J jnl
Saliency-Augmented Memory Completion for Continual Learning.
CoRR
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
2022 A* conf
Saliency-Regularized Deep Multi-Task Learning.
KDD
Guangji Bai, Liang Zhao
2022 J jnl
Saliency-Regularized Deep Multi-Task Learning.
CoRR
Guangji Bai, Liang Zhao
2022 J jnl
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network.
CoRR
Guangji Bai, Ling Chen, Liang Zhao
2021 J jnl
Sign-regularized Multi-task Learning.
CoRR
Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina L. Abad