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2020 – today
- 2024
[c16]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. CVPR 2024: 16163-16173- [c15]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. EMNLP (Findings) 2024: 3675-3688 - [c14]Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang:
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. EMNLP 2024: 9782-9796 - [c13]Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye:
Online Transfer Learning for RSV Case Detection. ICHI 2024: 512-521 - [c12]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Brain Image Synthesis Using Incomplete Multimodal Data. ISBI 2024: 1-5 - [c11]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI 2024: 1-5 - [c10]Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang:
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. MICCAI (2) 2024: 378-388 - [c9]Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. NAACL-HLT (Findings) 2024: 1417-1428 - [c8]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. VLDB Workshops 2024 - [i12]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 abs/2402.01987 (2024) - [i11]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 abs/2402.11441 (2024) - [i10]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 abs/2403.14729 (2024) - [i9]Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. CoRR abs/2405.06275 (2024) - [i8]Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang:
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. CoRR abs/2409.13853 (2024) - [i7]Yuhe Gao, Runxue Bao, Yuelyu Ji, Yiming Sun, Chenxi Song, Jeffrey P. Ferraro, Ye Ye:
Transfer Learning with Clinical Concept Embeddings from Large Language Models. CoRR abs/2409.13893 (2024) - 2023
- [c7]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: 16202-16203 - [c6]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: 138-144 - [i6]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 abs/2306.17257 (2023) - [i5]Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye:
A Survey of Heterogeneous Transfer Learning. CoRR abs/2310.08459 (2023) - 2022
- [c5]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CIKM 2022: 57-66 - [c4]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: 1317-1322 - [c3]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI 2022: 1916-1922 - [i4]Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR abs/2204.10981 (2022) - [i3]Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CoRR abs/2208.06058 (2022) - [i2]Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao, Haiyi Harry Mao, Lei Luo:
Sampling Through the Lens of Sequential Decision Making. CoRR abs/2208.08056 (2022) - 2020
- [c2]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. ICML 2020: 653-663 - [i1]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR abs/2006.16433 (2020)
2010 – 2019
- 2019
- [c1]Runxue Bao, Bin Gu, Heng Huang:
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM 2019: 958-963
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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