Improving Sentence Representations with Local and Global Attention for Classification. - Zesheng Liu; Xu Bai; Tian Cai; Chanjuan Chen; Wang Zhang; Lei Jiang 003 (IJCNN, 2019)

Local and Nonlocal Steering Kernel Weighted Total Variation Model for Image Denoising. - Rui Lai; Yiguo Mo; Zesheng Liu; Juntao Guan (Symmetry, 2019)

Fixed pattern noise reduction for infrared images based on cascade residual attention CNN. - Juntao Guan; Rui Lai; Ai Xiong; Zesheng Liu; Lin Gu 003 (Neurocomputing, 2020)

Spatial and Transform Domain CNN for SAR Image Despeckling. - Zesheng Liu; Rui Lai; Juntao Guan (IEEE Geosci. Remote. Sens. Lett., 2022)

Physics-Informed Machine Learning On Polar Ice: A Survey. - Zesheng Liu; Younghyun Koo; Maryam Rahnemoonfar (CoRR, 2024)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2024)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2024)

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition. - Zesheng Liu; Qiannan Zhu; Cuiping Li; Hong Chen (AAAI, 2025)

Federated Incremental Named Entity Recognition. - Zesheng Liu; Qiannan Zhu; Cuiping Li 001; Hong Chen 001 (COLING, 2025)

Deep Joint Source-Channel Coding of Underwater Image Enhancement in AUV Swarms. - Zhenguo Zhang; Guangyi Liu 001; Minghui Wang; Bo Chen; Zesheng Liu; Xiaojie Zhang (IEEE Commun. Lett., 2025)

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2025)

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2025)