Runxue Bao

According to our database, Runxue Bao authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs.

Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha Kass-Hout, Jiayu Zhou, Cao Xiao

CoRR, 2024

Transfer Learning with Clinical Concept Embeddings from Large Language Models.

Yuhe Gao, Runxue Bao, Yuelyu Ji, Yiming Sun, Chenxi Song, Jeffrey P. Ferraro, Ye Ye

CoRR, 2024

Online Transfer Learning for RSV Case Detection.

Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Ye Ye

CoRR, 2024

Pruning as a Domain-specific LLM Extractor.

Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases.

Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Neurodegenerative Disease Prediction via Transferable Deep Networks.

Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Brain Image Synthesis Using Incomplete Multimodal Data.

Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Online Transfer Learning for RSV Case Detection.

Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.

Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.

Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch.

Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Survey of Heterogeneous Transfer Learning.

Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye

CoRR, 2023

Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning.

Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Demystify the Gravity Well in the Optimization Landscape (Student Abstract).

Jason Xiaotian Dou, Runxue Bao, Susan Song, Shuran Yang, Yanfu Zhang, Paul Pu Liang, Haiyi Harry Mao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Sampling Through the Lens of Sequential Decision Making.

Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao, Haiyi Harry Mao, Lei Luo

CoRR, 2022

Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

CoRR, 2022

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.

Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning.

Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang

Proceedings of the IEEE International Conference on Data Mining, 2022

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification.

Runxue Bao, Bin Gu, Heng Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Fast OSCAR and OWL Regression via Safe Screening Rules.

Runxue Bao, Bin Gu, Heng Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee.

Runxue Bao, Bin Gu, Heng Huang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019