Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. - Jianliang Gao; Cong Xu; Huiling Huang; Xiaoting Ying; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (WI/IAT (Workshop/Special Session), 2021)

A Low-Cost Virtual 2D Spokes-Character Advertising Framework. - Jiarun Zhang; Zhao Li; Jialun Zhang; Zhiqiang Zhang (ICME Workshops, 2022)

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. - Chao Lin; Zhao Li 007; Sheng Zhou 004; Shichang Hu; Jialun Zhang; Linhao Luo; Jiarun Zhang; Longtao Huang; Yuan He (IJCAI, 2022)

Variational deep embedding-based active learning for the diagnosis of pneumonia. - Jian Huang; Wen Ding; Jiarun Zhang; Zhao Li; Ting Shu; Pekka Kuosmanen; Guanqun Zhou; Chuan Zhou; Gang Yu (Frontiers Neurorobotics, 2022)

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. - Cong Xu; Huiling Huang; Xiaoting Ying; Jianliang Gao; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (Inf. Sci., 2022)

RideSmart: Pre-trained Large Models for Delivery Route Planning. - Zhao Li 007; Yangbohan Jiao; Yuduo Shi; Donghui Ding; Jiacheng Wang; Jiarun Zhang; Haitao Xu 002 (WWW (Companion Volume), 2025)

eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. - Donghui Ding; Zhao Li 007; Jiarun Zhang; Xuanwu Liu; Ji Zhang 001; Yuchen Li 001; Peng Cai; JianXun Liu 001; Guodong Long (WWW, 2025)

Shapewarp: A "global-to-local" non-rigid sheep point cloud posture rectification method. - Binbin Han; Jiarun Zhang; Yuyun Xiang; Xiaopeng Li; Shuqin Li (Expert Syst. Appl., 2025)

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. - Xiaomin Shen; Jianliang Gao; Tengfei Lyu; Jiamin Chen; Jiarun Zhang; Jing He 001; Zhao Li 007; Wei Yu (Int. J. Data Min. Bioinform., 2025)