Understanding and improving recurrent networks for human activity recognition by continuous attention. - Ming Zeng 009; Haoxiang Gao; Tong Yu 001; Ole J. Mengshoel; Helge Langseth; Ian R. Lane; Xiaobing Liu (UbiComp, 2018)

An Experiment on Ab Initio Discovery of Biological Knowledge from scRNA-Seq Data Using Machine Learning. - Najeebullah Shah; Jiaqi Li; Fanhong Li; Wenchang Chen; Haoxiang Gao; Sijie Chen; Kui Hua; Xuegong Zhang (Patterns, 2020)

DS-TFP: A Distributed and Secure Traffic Flow Prediction Framework Based on Federated Graph Learning. - Yu Fu; Lijun Sun; Zhihui Ma; Haoxiang Gao; Chaoying Yan (WASA (2), 2024)

A Survey for Foundation Models in Autonomous Driving. - Haoxiang Gao; Yaqian Li; Kaiwen Long; Ming Yang; Yiqing Shen 003 (CoRR, 2024)

Utilizing Large Language Models for Information Extraction from Real Estate Transactions. - Yu Zhao; Haoxiang Gao (CoRR, 2024)

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving. - Haoxiang Gao; Yu Zhao (CoRR, 2025)

Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions. - Ruizhe Yang; Zhongkai Yi; Ying Xu; Guiyu Chen; Haojie Yang; Rong Yi; Tongqing Li; Miaozhe ShenJin Li; Haoxiang Gao; Hongyu Duan (CoRR, 2025)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning. - Runchuan Zhu; Bowen Jiang; Lingrui Mei; Fangkai Yang; Lu Wang; Haoxiang Gao; Fengshuo Bai; Pu Zhao 004; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)