Video Satellite Imagery Super-Resolution via a Deep Residual Network. - Jiemin Wu; Zhi He; Li Zhuo 002 (IGARSS, 2019)

Deep Self-Learning Network for Adaptive Pansharpening. - Jie Hu; Zhi He; Jiemin Wu (Remote. Sens., 2019)

Neural Mixed Counting Models for Dispersed Topic Discovery. - Jiemin Wu; Yanghui Rao; Zusheng Zhang; Haoran Xie 001; Qing Li 001; Fu Lee Wang; Ziye Chen (ACL, 2020)

PySRResNet: Super Resolution for Video Satellite Imagery via Pyramid Residual Network. - Man Xiao; Zhi He; Jiemin Wu (IGARSS, 2020)

Sentinel-2 Sharpening via Parallel Residual Network. - Jiemin Wu; Zhi He; Jie Hu (Remote. Sens., 2020)

Improved Mapping Results of 10 m Resolution Land Cover Classification in Guangdong, China Using Multisource Remote Sensing Data With Google Earth Engine. - Ying Tu; Wei Lang 001; Le Yu 001; Ying Li; Junhao Jiang; Yawen Qin; Jiemin Wu; Tingting Chen; Bing Xu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Observed Equity and Driving Factors of Automated External Defibrillators: A Case Study Using WeChat Applet Data. - Shunyi Liao; Feng Gao 020; Lei Feng; Jiemin Wu; Zexia Wang; Wangyang Chen (ISPRS Int. J. Geo Inf., 2023)

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving. - Songning Lai; Tianlang Xue; Hongru Xiao; Lijie Hu; Jiemin Wu; Ninghui Feng; Runwei Guan; Haicheng Liao; Zhenning Li; Yutao Yue (CoRR, 2024)

Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains. - Jiemin Wu; Songning Lai; Ruiqiang Xiao; Tianlang Xue; Jiayu Yang; Yutao Yue (CoRR, 2024)

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation. - Ruiqiang Xiao; Songning Lai; Yijun Yang; Jiemin Wu; Yutao Yue; Lei Zhu (CoRR, 2024)

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics. - Bowen Tian; Songning Lai; Jiemin Wu; Zhihao Shuai; Shiming Ge; Yutao Yue (CoRR, 2024)

AED Inequity among Social Groups in Guangzhou. - Feng Gao 020; Siyi Lu; Shunyi Liao; Wangyang Chen; Xin Chen; Jiemin Wu; Yunjing Wu; Guanyao Li; Xu Han (ISPRS Int. J. Geo Inf., 2024)

Robust Hypothesis Generation: LLM-Automated Language Bias for Inductive Logic Programming. - Yang Yang; Jiemin Wu; Yutao Yue (CoRR, 2025)

IMTS is Worth Time ⨉ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction. - Zhangyi Hu; Jiemin Wu; Hua Xu; Mingqian Liao; Ninghui Feng; Bo Gao; Songning Lai; Yutao Yue (CoRR, 2025)

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces. - Bowen Tian; Wenshuo Chen; Zexi Li; Songning Lai; Jiemin Wu; Yutao Yue (CoRR, 2025)