Runxue Bao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Doubly Stochastic

Transfer Learning

Knowledge Integration

Top Venues

Publications

Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Ye Ye
Online Transfer Learning for RSV Case Detection. CoRR (2024)
Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CoRR (2024)
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
Pruning as a Domain-specific LLM Extractor. CoRR (2024)
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR (2024)
Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning. ICHI (2023)
Jason Xiaotian Dou, Runxue Bao, Susan Song, Shuran Yang, Yanfu Zhang, Paul Pu Liang, Haiyi Harry Mao
Demystify the Gravity Well in the Optimization Landscape (Student Abstract). AAAI (2023)
Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning. CoRR (2023)
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
A Survey of Heterogeneous Transfer Learning. CoRR (2023)
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI (2022)
Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. ICDM (2022)
Runxue Bao, Bin Gu, Heng Huang
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CIKM (2022)
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR (2022)
Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao, Haiyi Harry Mao, Lei Luo
Sampling Through the Lens of Sequential Decision Making. CoRR (2022)
Runxue Bao, Bin Gu, Heng Huang
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CoRR (2022)
Runxue Bao, Bin Gu, Heng Huang
Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR (2020)
Runxue Bao, Bin Gu, Heng Huang
Fast OSCAR and OWL Regression via Safe Screening Rules. ICML (2020)
Runxue Bao, Bin Gu, Heng Huang
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM (2019)