Zesheng Liu

According to our database, Zesheng Liu authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, May, 2026

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment.

Kevin Zhu, William Tang, Raphael Hay Tene, Zesheng Liu, Nhut Le, Maryam Rahnemoonfar

CoRR, May, 2026

PACT: Peak-Aware Cross-Attention Graph Transformers for Efficient Storm-Surge Emulation.

Zesheng Liu, Doyup Kwon, Ning Lin, Maryam Rahnemoonfar

CoRR, May, 2026

Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, April, 2026

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, April, 2026

NCPT: Feature-Aligned New Classifier Initialization for Incremental Named Entity Recognition.

Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen

Proceedings of the Database Systems for Advanced Applications, 2026

2025

GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, November, 2025

KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator.

Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar

CoRR, October, 2025

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, July, 2025

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, July, 2025

Deep Joint Source-Channel Coding of Underwater Image Enhancement in AUV Swarms.

Zhenguo Zhang, Guangyi Liu, Minghui Wang, Bo Chen, Zesheng Liu, Xiaojie Zhang

IEEE Commun. Lett., May, 2025

Federated Incremental Named Entity Recognition.

Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition.

Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, 2024

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network.

Zesheng Liu, Maryam Rahnemoonfar

CoRR, 2024

Physics-Informed Machine Learning On Polar Ice: A Survey.

Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar

CoRR, 2024

2022

Spatial and Transform Domain CNN for SAR Image Despeckling.

Zesheng Liu, Rui Lai, Juntao Guan

IEEE Geosci. Remote. Sens. Lett., 2022

2020

Fixed pattern noise reduction for infrared images based on cascade residual attention CNN.

Juntao Guan, Rui Lai, Ai Xiong, Zesheng Liu, Lin Gu

Neurocomputing, 2020

2019

Local and Nonlocal Steering Kernel Weighted Total Variation Model for Image Denoising.

Rui Lai, Yiguo Mo, Zesheng Liu, Juntao Guan

Symmetry, 2019

Improving Sentence Representations with Local and Global Attention for Classification.

Zesheng Liu, Xu Bai, Tian Cai, Chanjuan Chen, Wang Zhang, Lei Jiang

Proceedings of the International Joint Conference on Neural Networks, 2019