GIF I am currently a Ph.D. student at the College of Artificial Intelligence, Southwest University, Chongqing, China.

💻 My major is Computer Science and Technology.
🔭 I’m currently working on deep learning and computer vision, in particular generative model and image enhancement. I have published some papers in the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Intelligent Vehicles (TIV) and Knowledge-Based Systems (KBS).

📖 Publications

ACMMM 2025

In this work, we propose a two-stage decoupling framework called EventLLIE. Compared to the existing LLIE, it is aware of the fact that the frameand events carry content and structure information, respectively. Specifically, the enhancement pipeline is decoupled into two stagesconsisting of visibility restoration and structure refnement.

TETCI 2025

Low-Light Image Enhancement via Global-Local Collaborative Transformer
Chunyan She; Fujun Han; Feng Pan; Shukai Duan; Tingwen Huang; Lidan Wang;

In this work, we propose a global-local collaborative transformer, an enhancer inspired by image editing experts, which exploits the collaboration between global and local adjustment to adaptively enhance low-light images with complex exposure.

TCSVT 2024

MPC-Net is a multi-prior collaborative network with transformer for low-light image enhancement.

KBS 2023

SAGAN adopts the pre-trained VGG model on ImageNet to extract the prior semantic information, which is organically fed into the generator to refine its feature representation, and develop an adaptive image fusion strategy working on the output layer of the generator.

TIV 2024

In this work, we propose a comprehensive benchmark to address the aforementioned intrusion detection tasks, including multiple datasets, reasonable metrics, End-to-End framework design, and extensive evaluations.

Wang Y, She C, Sun J, et al. Signal-to-noise ratio guided noise adaptive network via Dual-domain collaboration for low-light image enhancement[J]. Engineering Applications of Artificial Intelligence, 2025, 162: 112578.
Hu H, She C, Wang L, et al. UCT: Uncertainty-Based Consistency Training for Domain Adaptive Human Activity Recognition[J]. Digital Signal Processing, 2025: 105209.
Chen T, She C, Wang L, et al. Memristive leaky integrate-and-fire neuron and learnable straight-through estimator in spiking neural networks[J]. Cognitive Neurodynamics, 2024, 18(5): 3075-3091.
She C, Zeng S, Wang Q, et al. Adaptive fuzzy C-means clustering integrated with local outlier factor[J]. Intelligent Data Analysis, 2022, 26(6): 1507-1521.
She C, Zeng S. An enhanced local outlier detection using random walk on grid information graph[J]. The Journal of Supercomputing, 2022, 78(12): 14530-14547.

📐 Projects

Wang L, She C, Duan S. A low-light image enhancement method based on multi-prior fusion[P]. Chongqing: CN117745616A,2024-03-22.
Zeng S, She C, Wang S, et al. An adaptive FCM algorithm for soil image shadow detection[P]. Chongqing: CN111754501B,2021-08-27.
Zeng S, Wang Q, She C, et al. Shadow detection of soil image based on subtraction histogram algorithm[P]. Chongqing: CN113240619B,2022-06-21.