An Adaptive Multi-Scale and Multi-Level Features Fusion Network with Perceptual Loss for Change Detection. - Jialang Xu; Yang Luo 001; Xinyue Chen 009; Chunbo Luo (ICASSP, 2021)

Adversarial scale-adaptive neural network for crowd counting. - Xinyue Chen 009; Hua Yan; Tong Li; Jialang Xu; Fushun Zhu (Neurocomputing, 2021)

Two-stream deep spatial-temporal auto-encoder for surveillance video abnormal event detection. - Tong Li; Xinyue Chen 009; Fushun Zhu; Zhengyu Zhang; Hua Yan (Neurocomputing, 2021)

A multi-scale and multi-level feature aggregation network for crowd counting. - Fushun Zhu; Hua Yan; Xinyue Chen 009; Tong Li; Zhengyu Zhang (Neurocomputing, 2021)

Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity. - Jialang Xu; Chunbo Luo; Xinyue Chen 009; Shicai Wei; Yang Luo 001 (Remote. Sens., 2021)

Real-time crowd counting via lightweight scale-aware network. - Fushun Zhu; Hua Yan; Xinyue Chen 009; Tong Li (Neurocomputing, 2022)

Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation. - Xinyue Chen 009; Yueyi Wang; Yingyue Xu; Miaojing Shi (Auton. Intell. Syst., 2023)

Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation. - Xinyue Chen 009; Miaojing Shi (ICME, 2024)

CLigOpt: controllable ligand design through target-specific optimization. - Yutong Li 006; Pedro Henrique da Costa Avelar; Xinyue Chen 009; Li Zhang; Min Wu 008; Sophia Tsoka (Bioinform., 2024)

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. - Xinyue Chen 009; Miaojing Shi; Zijian Zhou 002; Lianghua He; Sophia Tsoka (AAAI, 2025)