Deep Spatial Domain Generalization. - Dazhou Yu; Guangji Bai; Yun Li 005; Liang Zhao 002 (ICDM, 2022)

Saliency-Regularized Deep Multi-Task Learning. - Guangji Bai; Liang Zhao 002 (KDD, 2022)

RES: A Robust Framework for Guiding Visual Explanation. - Yuyang Gao; Tong Steven Sun; Guangji Bai; Siyi Gu; Sungsoo Ray Hong; Liang Zhao 002 (KDD, 2022)

Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. - Guangji Bai; Ling Chen; Liang Zhao 002 (CoRR, 2022)

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. - Zheng Chai; Guangji Bai; Liang Zhao 002; Yue Cheng 001 (CoRR, 2022)

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. - Zishan Gu; Ke Zhang; Guangji Bai; Liang Chen 001; Liang Zhao 002; Carl Yang 001 (ICDE, 2023)

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. - Guangji Bai; Chen Ling 003; Liang Zhao 002 (ICLR, 2023)

Saliency-Augmented Memory Completion for Continual Learning. - Guangji Bai; Chen Ling 003; Yuyang Gao; Liang Zhao 002 (SDM, 2023)

Sign-Regularized Multi-Task Learning. - Guangji Bai; Johnny Torres; Junxiang Wang; Liang Zhao 002; Cristina L. Abad; Carmen Vaca (SDM, 2023)

Knowledge-enhanced Neural Machine Reasoning: A Review. - Tanmoy Chowdhury; Chen Ling 003; Xuchao Zhang; Xujiang Zhao; Guangji Bai; Jian Pei 001; Haifeng Chen; Liang Zhao 002 (CoRR, 2023)

Domain Generalization Deep Graph Transformation. - Shiyu Wang 002; Guangji Bai; Qingyang Zhu; Zhaohui Qin; Liang Zhao 002 (CoRR, 2023)

Saliency-Guided Hidden Associative Replay for Continual Learning. - Guangji Bai; Qilong Zhao; Xiaoyang Jiang; Yifei Zhang 006; Liang Zhao 002 (CoRR, 2023)

Visual Attention-Prompted Prediction and Learning. - Yifei Zhang 006; Siyi Gu; Bo Pan; Guangji Bai; Xiaofeng Yang 005; Liang Zhao 002 (CoRR, 2023)

Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. - Junxiang Wang; Guangji Bai; Wei Cheng 002; Zhengzhang Chen; Liang Zhao 002; Haifeng Chen (CoRR, 2023)

Visual Attention Prompted Prediction and Learning. - Yifei Zhang 006; Bo Pan; Siyi Gu; Guangji Bai; Meikang Qiu; Xiaofeng Yang 005; Liang Zhao 002 (IJCAI, 2024)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. - Junxiang Wang; Guangji Bai; Wei Cheng 002; Zhengzhang Chen; Liang Zhao 002; Haifeng Chen (KDD, 2024)

Uncertainty Quantification for In-Context Learning of Large Language Models. - Chen Ling 003; Xujiang Zhao; Xuchao Zhang; Wei Cheng 002; Yanchi Liu; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Jie Ji; Guangji Bai; Liang Zhao 002; et al. (NAACL-HLT, 2024)

SparseLLM: Towards Global Pruning of Pre-trained Language Models. - Guangji Bai; Yijiang Li; Chen Ling 003; Kibaek Kim; Liang Zhao 002 (NeurIPS, 2024)

Continuous Temporal Domain Generalization. - Zekun Cai; Guangji Bai; Renhe Jiang; Xuan Song 001; Liang Zhao 002 (NeurIPS, 2024)

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. - Guangji Bai; Zheng Chai; Chen Ling 003; Shiyu Wang 002; Jiaying Lu 001; Nan Zhang; Tingwei Shi; Ziyang Yu; Mengdan Zhu; Yifei Zhang 006; Carl Yang 001; Yue Cheng 001; et al. (CoRR, 2024)

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. - Chen Ling 003; Xujiang Zhao; Wei Cheng 002; Yanchi Liu; Yiyou Sun; Xuchao Zhang; Mika Oishi; Takao Osaki; Katsushi Matsuda; Jie Ji; Guangji Bai; Liang Zhao 002; et al. (CoRR, 2024)

Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. - Guangji Bai; Yijiang Li; Chen Ling 003; Kibaek Kim; Liang Zhao 002 (CoRR, 2024)

Deep Causal Generative Models with Property Control. - Qilong Zhao; Shiyu Wang 002; Guangji Bai; Bo Pan; Zhaohui Qin; Liang Zhao 002 (CoRR, 2024)

MEGL: Multimodal Explanation-Guided Learning. - Yifei Zhang 006; Tianxu Jiang; Bo Pan; Jingyu Wang; Guangji Bai; Liang Zhao 002 (CoRR, 2024)

Quantifying uncertainty in graph neural network explanations. - Junji Jiang; Chen Ling 003; Hongyi Li; Guangji Bai; Xujiang Zhao; Liang Zhao 002 (Frontiers Big Data, 2024)

FedSpaLLM: Federated Pruning of Large Language Models. - Guangji Bai; Yijiang Li; Zilinghan Li; Liang Zhao 002; Kibaek Kim (NAACL (Long Papers), 2025)

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. - Guangji Bai; Ziyang Yu; Zheng Chai; Yue Cheng 001; Liang Zhao 002 (SDM, 2025)

Continuous Domain Generalization. - Zekun Cai; Yiheng Yao; Guangji Bai; Renhe Jiang; Xuan Song 001; Ryosuke Shibasaki; Liang Zhao 002 (CoRR, 2025)

Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation. - Mengdan Zhu; Senhao Cheng; Guangji Bai; Yifei Zhang 006; Liang Zhao 002 (CoRR, 2025)

StructPrune: Structured Global Pruning asymptotics with 𝒪(√N) GPU Memory. - Xinyuan Song; Guangji Bai; Liang Zhao (CoRR, 2025)