Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution. - Wanghu Chen; Xintian Li; Jing Li; Jianwu Wang 001 (IEEE BigData, 2017)

Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution. - Wanghu Chen; Jing Li; Xintian Li; Lizhi Zhang; Jianwu Wang 001 (IEEE Access, 2019)

Identifying Hurricane Evacuation Intent on Twitter. - Xintian Li; Samiul Hasan; Aron Culotta (ICWSM, 2022)

Forecasting COVID-19 Vaccination Rates using Social Media Data. - Xintian Li; Aron Culotta (WWW (Companion Volume), 2023)

Domain Adaptation for Learning from Label Proportions Using Domain-Adversarial Neural Network. - Xintian Li; Aron Culotta (SN Comput. Sci., 2023)

An Experimental Study of the Effects of Asymmetric Pitching Motion on the Hydrodynamic Propulsion of a Flapping Fin. - Shengzhi Wang; Shuzhen Niu; Xintian Li; Guosheng He (Symmetry, 2024)

HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations. - Peiru Yang; Xintian Li; Hu Zhiyang; Jiapeng Wang; Jinhua Yin; Huili Wang; Lizhi He; Shuai Yang; Shangguang Wang; Yongfeng Huang 001; Tao Qi (CoRR, 2025)

MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems. - Peiru Yang; Jinhua Yin; Haoran Zheng; Xueying Bai; Huili Wang; Yufei Sun; Xintian Li; Shangguang Wang; Yongfeng Huang 001; Tao Qi (CoRR, 2025)

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness. - Peiru Yang; Xintian Li; Wanchun Ni; Jinhua Yin; Huili Wang; Guoshun Nan; Shangguang Wang; Yongfeng Huang 001; Tao Qi (CoRR, 2025)