| 2025 | EMNLP | Controllable Memorization in LLMs via Weight Pruning. | Chenjie Ni, Zhepeng Wang, Runxue Bao, Shangqian Gao, Yanfu Zhang |
| 2025 | IJCNN | Safe Screening Rules for Group OWL Models. | Runxue Bao, Quanchao Lu, Yanfu Zhang |
| 2025 | NAACL | 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 |
| 2025 | SDM | Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. | Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. | Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang |
| 2024 | EMNLP | 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 |
| 2024 | MICCAI | Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. | Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang |
| 2024 | NAACL | Pruning as a Domain-specific LLM Extractor. | Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen |
| 2024 | VLDB | 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 |
| 2023 | AAAI | 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 |
| 2022 | CIKM | An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. | Runxue Bao, Bin Gu, Heng Huang |
| 2022 | ICDM | Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. | Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang |
| 2022 | IJCAI | Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. | Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang |
| 2020 | ICML | Fast OSCAR and OWL Regression via Safe Screening Rules. | Runxue Bao, Bin Gu, Heng Huang |
| 2019 | ICDM | Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. | Runxue Bao, Bin Gu, Heng Huang |