| 2026 | WACV | Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care. | Ke Nan, Maggie Samaan, Benjamin Burns, Xia Ning, Yuchi Han, Yuan Xue |
| 2025 | ACL | \mathttGeLLM³O: Generalizing Large Language Models for Multi-property Molecule Optimization. | Vishal Dey, Xiao Hu, Xia Ning |
| 2025 | ACL | Planning with Diffusion Models for Target-Oriented Dialogue Systems. | Hanwen Du, Bo Peng, Xia Ning |
| 2025 | EMNLP | LIDDIA: Language-based Intelligent Drug Discovery Agent. | Reza Averly, Frazier N. Baker, Ian A. Watson, Xia Ning |
| 2025 | EMNLP | Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization. | Vishal Dey, Xiao Hu, Xia Ning |
| 2025 | EMNLP | AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. | Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun |
| 2025 | ICLR | ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. | Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun |
| 2025 | IJCNLP | Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data. | Xinyi Ling, Hanwen Du, Bo Peng, Zhihui Zhu, Xia Ning |
| 2025 | IJCNLP | EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models. | Xinyi Ling, Hanwen Du, Zhihui Zhu, Xia Ning |
| 2025 | MICCAI | Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction. | Benjamin Burns, Yuan Xue, Douglas W. Scharre, Xia Ning |
| 2025 | NAACL | Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework. | Reza Averly, Xia Ning |
| 2025 | NAACL | SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search. | Hanwen Du, Bo Peng, Xia Ning |
| 2025 | NAACL | Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving. | Botao Yu, Frazier N. Baker, Ziru Chen, Garrett Herb, Boyu Gou, Daniel Adu-Ampratwum, Xia Ning, Huan Sun |
| 2024 | ICML | eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data. | Bo Peng, Xinyi Ling, Ziru Chen, Huan Sun, Xia Ning |
| 2023 | ICDE | HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). | Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning |
| 2023 | RECOMB | T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. | Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning |
| 2021 | AMIA | Improving MHC Class I Antigen Processing Prediction via Representation Learning and Cleavage Site-Specific Kernels. | Patrick J. Lawrence, Xia Ning |
| 2019 | DSAA | Grade Prediction with Neural Collaborative Filtering. | Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala |
| 2019 | EDM | Grade Prediction Based on Cumulative Knowledge and Co-taken Courses. | Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala |
| 2019 | MICCAI | Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. | Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning |
| 2018 | CSEDU | Enhance E-Learning through Data Mining for Personalized Intervention. | Lingma Lu Acheson, Xia Ning |
| 2018 | SDM | ALE: Additive Latent Effect Models for Grade Prediction. | Zhiyun Ren, Xia Ning, Huzefa Rangwala |
| 2017 | EDM | Grade Prediction with Temporal Course-wise Influence. | Zhiyun Ren, Xia Ning, Huzefa Rangwala |
| 2016 | SDM | Kernelized Sparse Self-Representation for Clustering and Recommendation. | Xiao Bian, Feng Li, Xia Ning |
| 2015 | CCS | Discover and Tame Long-running Idling Processes in Enterprise Systems. | Jun Wang, Zhiyun Qian, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Xia Ning, Peng Liu, Guofei Jiang |
| 2015 | IJCAI | Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. | Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang |
| 2015 | PAKDD | Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection. | Jiaji Huang, Xia Ning |
| 2015 | RecSys | Multi-Perspective Modeling for Click Event Prediction. | Tzu-Chun Lin, Xia Ning |
| 2014 | AISTATS | Interpretable Sparse High-Order Boltzmann Machines. | Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein |
| 2013 | KDD | FISM: factored item similarity models for top-N recommender systems. | Santosh Kabbur, Xia Ning, George Karypis |
| 2012 | RecSys | Sparse linear methods with side information for top-n recommendations. | Xia Ning, George Karypis |
| 2012 | WWW | Sparse linear methods with side information for Top-N recommendations. | Xia Ning, George Karypis |
| 2011 | ICDM | SLIM: Sparse Linear Methods for Top-N Recommender Systems. | Xia Ning, George Karypis |
| 2011 | SDM | Semi-Supervised Convolution Graph Kernels for Relation Extraction. | Xia Ning, Yanjun Qi |
| 2009 | SDM | The Set Classification Problem and Solution Methods. | Xia Ning, George Karypis |
| 2008 | ICDM | The Set Classification Problem and Solution Methods. | Xia Ning, George Karypis |
| 2005 | PDCAT | Scalable Parallel Quadrilateral Mesh Generation Coupled with Mesh Partitioning. | Jianjun Chen, Yao Zheng, Xia Ning |