Runxue Bao

41 papers A* 8A 2B 1Journal 20Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector.
CoRR
Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha A. Kass-Hout
2025 A* conf
Controllable Memorization in LLMs via Weight Pruning.
EMNLP
Chenjie Ni, Zhepeng Wang, Runxue Bao, Shangqian Gao, Yanfu Zhang
2025 A conf
Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems.
SDM
Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia
2025 — conf
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs.
NAACL (Long Papers)
Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao
2025 J jnl
Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph.
CoRR
Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang
2025 B conf
Safe Screening Rules for Group OWL Models.
IJCNN
Runxue Bao, Quanchao Lu, Yanfu Zhang
2025 J jnl
Safe Screening Rules for Group OWL Models.
CoRR
Runxue Bao, Quanchao Lu, Yanfu Zhang
2025 — conf
Safe Screening Rules for Group SLOPE.
ECML/PKDD (2)
Runxue Bao, Quanchao Lu, Yanfu Zhang
2025 J jnl
Safe Screening Rules for Group SLOPE.
CoRR
Runxue Bao, Quanchao Lu, Yanfu Zhang
2024 J jnl
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases.
CoRR
Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang
2024 J jnl
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs.
CoRR
Lei Lu, Zhepeng Wang, Runxue Bao, Mengbing Wang, Fangyi Li, Yawen Wu, Weiwen Jiang, Jie Xu, Yanzhi Wang, Shangqian Gao
2024 A* conf
Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch.
CVPR
Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
2024 J jnl
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch.
CoRR
Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
2024 — conf
Brain Image Synthesis Using Incomplete Multimodal Data.
ISBI
Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang
2024 J jnl
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs.
CoRR
Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao
2024 — conf
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
EMNLP (Findings)
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 — conf
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
VLDB Workshops
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 J jnl
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
CoRR
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 — conf
Neurodegenerative Disease Prediction via Transferable Deep Networks.
ISBI
Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang
2024 J jnl
New Scalable and Efficient Online Pairwise Learning Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Runxue Bao, Chenkang Zhang, Heng Huang
2024 — conf
Online Transfer Learning for RSV Case Detection.
ICHI
Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye
2024 J jnl
Online Transfer Learning for RSV Case Detection.
CoRR
Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Ye Ye
2024 — conf
Pruning as a Domain-specific LLM Extractor.
NAACL-HLT (Findings)
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024 J jnl
Pruning as a Domain-specific LLM Extractor.
CoRR
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024 — conf
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases.
MICCAI (2)
Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang
2024 J jnl
Transfer Learning with Clinical Concept Embeddings from Large Language Models.
CoRR
Yuhe Gao, Runxue Bao, Yuelyu Ji, Yiming Sun, Chenxi Song, Jeffrey P. Ferraro, Ye Ye
2024 A* conf
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.
EMNLP
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
2024 J jnl
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.
CoRR
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
2023 J jnl
A Survey of Heterogeneous Transfer Learning.
CoRR
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
2023 A* conf
Demystify the Gravity Well in the Optimization Landscape (Student Abstract).
AAAI
Jason Xiaotian Dou, Runxue Bao, Susan Song, ShuRan Yang, Yanfu Zhang, Paul Pu Liang, Haiyi Harry Mao
2023 — conf
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning.
ICHI
Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye
2023 J jnl
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning.
CoRR
Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye
2022 A conf
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification.
CIKM
Runxue Bao, Bin Gu, Heng Huang
2022 J jnl
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification.
CoRR
Runxue Bao, Bin Gu, Heng Huang
2022 J jnl
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization.
CoRR
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
2022 A* conf
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization.
IJCAI
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
2022 J jnl
Sampling Through the Lens of Sequential Decision Making.
CoRR
Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao, Haiyi Harry Mao, Lei Luo
2022 A* conf
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning.
ICDM
Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang
2020 A* conf
Fast OSCAR and OWL Regression via Safe Screening Rules.
ICML
Runxue Bao, Bin Gu, Heng Huang
2020 J jnl
Fast OSCAR and OWL Regression via Safe Screening Rules.
CoRR
Runxue Bao, Bin Gu, Heng Huang
2019 A* conf
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee.
ICDM
Runxue Bao, Bin Gu, Heng Huang