A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss. - Wenbiao Li; Ziyang Wang; Yunfang Wu (EMNLP, 2022)

Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models. - Wenbiao Li; Rui Sun; Yunfang Wu (NLPCC (1), 2022)

A Variational Method with Kernel Estimation and Low Rank Prior for Pansharpening. - Pengbo Mi; Yi Yang 008; Meng Zhang; Sixian Zhang; Erqi Zhang; Wenbiao Li (FUSION, 2023)

Privacy preserving identification of population stratification for collaborative genomic research. - Leonard Dervishi; Wenbiao Li; Anisa Halimi; Xiaoqian Jiang; Jaideep Vaidya; Erman Ayday (Bioinform., 2023)

Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT. - Lingfei Luan; Xi Lin; Wenbiao Li (CoRR, 2023)

Going Beyond Passages: Readability Assessment for Book-Level Long Texts. - Wenbiao Li; Rui Sun; Tianyi Zhang; Yunfang Wu (CCL, 2024)

Foreground Aware Correlation Filter with Adaptive Feature Response Fusion for Real-Time UAV Tracking. - Zhuo Xiao; Yi Yang 008; Sixian Zhang; Wenbiao Li; Pengrong Bao; Deqiang Han (FUSION, 2024)

Privacy-Preserving Model and Preprocessing Verification for Machine Learning. - Wenbiao Li; Anisa Halimi; Xiaoqian Jiang; Jaideep Vaidya; Erman Ayday (CoRR, 2025)