Multi-Scale Graph Convolutional Network and Dynamic Iterative Class Loss for Ship Segmentation in Remote Sensing Images. - Yanru Jiang; Chengyu Zheng; Zhaoxin Wang; Rui Wang; Min Ye; Chenglong Wang; Ning Song; Jie Nie (MMAsia, 2021)

A Fine-Grained River Ice Semantic Segmentation based on Attentive Features and Enhancing Feature Fusion. - Rui Wang; Chengyu Zheng; Yanru Jiang; Zhaoxin Wang; Min Ye; Chenglong Wang; Ning Song; Jie Nie (MMAsia, 2021)

Using k-Means Clustering to Classify Protest Songs Based on Conceptual and Descriptive Audio Features. - Yanru Jiang; Xin Jin (HCI (23), 2022)

Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm. - Yanru Jiang; Xin Jin; Qinghao Deng (ICWSM Workshops, 2022)

An Unsupervised Approach to Discover Media Frames. - Sha Lai; Yanru Jiang; Lei Guo 017; Margrit Betke; Prakash Ishwar; Derry Tanti Wijaya (PoliticalNLP@LREC, 2022)

Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm. - Yanru Jiang; Xin Jin; Qinhao Deng (CoRR, 2022)

SSDT: Scale-Separation Semantic Decoupled Transformer for Semantic Segmentation of Remote Sensing Images. - Chengyu Zheng; Yanru Jiang; Xiaowei Lv; Jie Nie; Xinyue Liang; Zhiqiang Wei 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks. - Yanru Jiang; Rick Dale; Hongjing Lu (Cogn. Syst. Res., 2024)

Synthetic Survey Data Generation and Evaluation. - Yanru Jiang; Siyu Liang; Junwon Choi (KDD (1), 2025)

Mapping the learning curves of deep learning networks. - Yanru Jiang; Rick Dale (PLoS Comput. Biol., 2025)