I am a Machine Learning Software Engineer at Google, where I build recommender systems to improve ads relevance and quality. I received my Ph.D. in Computer Engineering from the University of Pittsburgh and completed my Honours B.S. in Electrical Engineering at the University of Science and Technology of China.
Current interests & recent work include:
- Recommender Systems, Ads Retrieval, Ads Ranking, Information Retrieval, Graph Neural Network [NAACL 2024, MICCAI 2024]
- LLM-as-a-Judge/Rater, Parameter-Efficient Fine-Tuning (PEFT), Retrieval-Augmented Generation (RAG), and In-Context Learning (ICL) [NeurIPS 2025, EMNLP 2024, NAACL 2024 & 2025]
- Transfer Learning in Healthcare [ICHI 2023 & 2024, ISBI 2024, SDM 2025, AMIA 2025]
- Model Compression and Optimization [EMNLP 2025, NAACL 2024, CVPR 2024, ICML 2020, IJCAI 2022, CIKM 2022]
I’m open to collaboration opportunities—feel free to connect!
News
- [09/25] One paper on LLM-as-a-Judge was accepted by NeurIPS 2025!
- [08/25] One paper on LLM Memorization & Pruning was accepted by EMNLP 2025 Main Conference!
- [05/25] One paper on Sparse Optimization was accepted by ECML PKDD 2025!
- [03/25] One paper on Sparse Optimization was accepted by IJCNN 2025!
- [01/25] One paper on Retrieval-Augmented In-Context Learning was accepted by NAACL 2025 Main Conference!
- [12/24] One paper on Temporal Domain Adaptation was accepted by SDM 2025!
- [11/24] One paper on LLMs & Transfer Learning was accepted by AMIA 2025 Informatics Summit!
- [09/24] Two papers on LLMs were accepted by EMNLP 2024! One focuses on Estimating LLM Memorization and the other explores Enhancing LLMs with Knowledge Graphs!
- [06/24] One paper on Online Transfer Learning received ICHI 2024 Best Paper Award (Analytics Track)!
- [05/24] One paper on Graph Neural Network was accepted by MICCAI 2024!
- [03/24] One paper on LLM Pruning was accepted by NAACL 2024!
- [03/24] One paper on Online Transfer Learning was accepted by IEEE ICHI 2024!
- [02/24] One paper on Model Compression was accepted by CVPR 2024!
- [01/24] Two papers on Transfer Learning and Multimodal Learning were accepted by ISBI 2024!
- [10/23] One survey paper on Heterogeneous Transfer Learning was on arXiv!
- [08/23] One paper on Online Pairwise Learning was accepted by IEEE TNNLS 2023!
Selected Publications
-
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 Kass-Hout.
NeurIPS 2025 -
Controllable Memorization in LLMs via Weight Pruning
Chenjie Ni, Zhepeng Wang, Runxue Bao, Shangqian Gao, Yanfu Zhang.
EMNLP 2025 - Main -
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs
[Paper]
Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha Kass-Hout, Jiayu Zhou, Cao Xiao.
NAACL 2025 - Main -
Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems
Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye and Xiaowei Jia.
SDM 2025 -
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
[Paper]
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang.
EMNLP 2024 - Main -
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
[Paper]
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen.
EMNLP 2024 Findings -
Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
[Paper]
Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang.
MICCAI 2024 -
Pruning as a Domain-specific LLM Extractor
[Paper]
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen.
NAACL 2024 Findings -
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
[Paper]
Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang.
CVPR 2024 -
Neurodegenerative Disease Prediction via Transferable Deep Networks
[Paper]
Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang.
ISBI 2024 -
Brain Image Synthesis Using Incomplete Multimodal Data
[Paper]
Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang.
ISBI 2024 -
Online Transfer Learning for RSV Case Detection
[Paper]
Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F Cooper, Jessi Espino, Harry Hochheiser, Marian G Michaels, John M Aronis, Ye Ye.
ICHI 2024 (Best Paper Award) -
A Survey of Heterogeneous Transfer Learning
[Paper]
Runxue Bao*, Yiming Sun*, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye.
arXiv 2023 -
New Scalable and Efficient Online Pairwise Learning Algorithm
[Paper]
Bin Gu, Runxue Bao, Chenkang Zhang, Heng Huang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2023) -
Prediction of COVID-19 Patients’ Emergency Room Revisit using Multi-Source Transfer Learning
[Paper]
Yuelyu Ji*, Yuhe Gao*, Runxue Bao*, Qi Li, Disheng Liu, Yiming Sun, and Ye Ye. (* denotes equal contribution)
ICHI 2023 -
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
[Paper]
[Slides]
Runxue Bao, Bin Gu, Heng Huang.
CIKM 2022 -
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
[Paper]
[Slides]
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang.
IJCAI 2022 -
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning
[Paper]
Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang.
ICDM 2022 -
Fast OSCAR and OWL Regression via Safe Screening Rules
[Paper]
[Code]
[Slides]
Runxue Bao, Bin Gu, Heng Huang.
ICML 2020
Services
- Conference Program Committee or Reviewer:
- 2025: ICLR, AAAI, AISTATS, WACV
- 2024: ICML, ICLR, NeurIPS, NeurIPS Datasets and Benchmarks Track, CVPR, ACL ARR, ECCV, AAAI, IJCAI, WACV, WSDM (PC), SDM, IEEE CAI, AutoML, LOG
- 2023: ICLR, ICML, NeurIPS, NeurIPS Datasets and Benchmarks Track, KDD (PC), IJCAI (PC), ECAI, WACV, AMIA, IEEE CEC, FUZZ-IEEE, AutoML, LOG
- 2022: ICML, NeurIPS, NeurIPS Datasets and Benchmarks Track, ICLR, AISTATS, IEEE WCCI, LOG
- 2021: ICML, NeurIPS
- 2020: KDD (PC), MLSP
- 2019: MLSP
- Journal Reviewer:
- Briefings in Bioinformatics
- Artificial Intelligence in Medicine
- IEEE Transactions on Big Data
- Patterns
- Knowledge and Information Systems (KAIS)
- Journal of Combinatorial Optimization
- IEEE Open Journal of the Computer Society (OJCS)