Runxue Bao

According to our database, Runxue Bao authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

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

CoRR, 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

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

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