Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. - Runxue Bao; Bin Gu 001; Heng Huang (ICDM, 2019)

Fast OSCAR and OWL Regression via Safe Screening Rules. - Runxue Bao; Bin Gu 001; Heng Huang (ICML, 2020)

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. - Runxue Bao; Bin Gu 001; Heng Huang (CIKM, 2022)

Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. - Yanfu Zhang; Runxue Bao; Jian Pei 001; Heng Huang (ICDM, 2022)

Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. - Runxue Bao; Xidong Wu; Wenhan Xian; Heng Huang (IJCAI, 2022)

Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. - Runxue Bao; Xidong Wu; Wenhan Xian; Heng Huang (CoRR, 2022)

Sampling Through the Lens of Sequential Decision Making. - Jason Xiaotian Dou; Alvin Qingkai Pan; Runxue Bao; Haiyi Harry Mao; Lei Luo (CoRR, 2022)

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 (AAAI, 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 004; Ye Ye 002 (ICHI, 2023)

A Survey of Heterogeneous Transfer Learning. - Runxue Bao; Yiming Sun 004; Yuhe Gao; Jindong Wang 001; Qiang Yang 001; Haifeng Chen; Zhi-Hong Mao; Ye Ye 002 (CoRR, 2023)

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 001; Heng Huang (CVPR, 2024)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Jackson Taylor; Cao Xiao; Feng Zheng; Weiwen Jiang; Shangqian Gao; Yanfu Zhang (EMNLP, 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 002; Haifeng Chen (EMNLP (Findings), 2024)

Online Transfer Learning for RSV Case Detection. - Yiming Sun 004; Yuhe Gao; Runxue Bao; Gregory F. Cooper; Jessi Espino; Harry Hochheiser; Marian G. Michaels; John M. Aronis; Chenxi Song; Ye Ye 002 (ICHI, 2024)

Brain Image Synthesis Using Incomplete Multimodal Data. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang (ISBI, 2024)

Neurodegenerative Disease Prediction via Transferable Deep Networks. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang (ISBI, 2024)

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (MICCAI (2), 2024)

Pruning as a Domain-specific LLM Extractor. - Nan Zhang; Yanchi Liu; Xujiang Zhao; Wei Cheng 002; Runxue Bao; Rui Zhang 037; Prasenjit Mitra; Haifeng Chen (NAACL-HLT (Findings), 2024)

Online Transfer Learning for RSV Case Detection. - Yiming Sun 004; Yuhe Gao; Runxue Bao; Gregory F. Cooper; Jessi Espino; Harry Hochheiser; Marian G. Michaels; John M. Aronis; Ye Ye 002 (CoRR, 2024)

Transfer Learning with Clinical Concept Embeddings from Large Language Models. - Yuhe Gao; Runxue Bao; Yuelyu Ji; Yiming Sun 004; Chenxi Song; Jeffrey P. Ferraro; Ye Ye 002 (CoRR, 2024)

Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs. - Shuyang Yu; Runxue Bao; Parminder Bhatia; Taha A. Kass-Hout; Jiayu Zhou; Cao Xiao (CoRR, 2024)

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (CoRR, 2024)

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs. - Lei Lu; Zhepeng Wang 001; Runxue Bao; Mengbing Wang; Fangyi Li; Yawen Wu; Weiwen Jiang; Jie Xu; Yanzhi Wang; Shangqian Gao (CoRR, 2024)

New Scalable and Efficient Online Pairwise Learning Algorithm. - Bin Gu 001; Runxue Bao; Chenkang Zhang; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs. - Shuyang Yu; Runxue Bao; Parminder Bhatia; Taha A. Kass-Hout; Jiayu Zhou; Cao Xiao (NAACL (Long Papers), 2025)

Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. - Yiming Sun 004; Runlong Yu; Runxue Bao; Yiqun Xie; Ye Ye 002; Xiaowei Jia (SDM, 2025)

Safe Screening Rules for Group OWL Models. - Runxue Bao; Quanchao Lu 002; Yanfu Zhang (CoRR, 2025)

Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector. - Haoyan Yang; Runxue Bao; Cao Xiao; Jun Ma; Parminder Bhatia; Shangqian Gao; Taha A. Kass-Hout (CoRR, 2025)

Safe Screening Rules for Group SLOPE. - Runxue Bao; Quanchao Lu 002; Yanfu Zhang (CoRR, 2025)