Ning, Xia

11 publications

NeurIPS 2025 Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models Jiachen Jiang, Jinxin Zhou, Bo Peng, Xia Ning, Zhihui Zhu

ICLR 2025 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

NeurIPSW 2024 DiffER: Categorical Diffusion Models for Chemical Retrosynthesis Sean Current, Ziqi Chen, Xia Ning, Srinivasan Parthasarathy

NeurIPSW 2024 SAPIENT: Mastering Multi-Turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du, Bo Peng, Xia Ning

ICML 2024 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

NeurIPSW 2023 Shape-Conditioned 3D Molecule Generation via Equivariant Diffusion Models Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning

ECML-PKDD 2015 Hierarchical Sparse Dictionary Learning Xiao Bian, Xia Ning, Geoff Jiang

IJCAI 2015 Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

AISTATS 2014 Interpretable Sparse High-Order Boltzmann Machines Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein

ACML 2010 Multi-Task Learning for Recommender System Xia Ning, George Karypis

ECML-PKDD 2010 Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning