个人简历：分别于2017年和2023年获得哈尔滨工程大学电子信息工程学士学位及信息与通信工程博士学位。2023年12月至今于中央民族大学信息工程学院担任讲师。

科研项目：主持国家自然科学青年基金项目，2026-2028年，基于多模态大模型的彝文古籍机器翻译研究，30万元，项目负责人。主持校级项目2项。参与国家自然科学基金重点项目1项、国家社会科学基金重大项目1项，参与校级项目2项。

科研成果：发表学术论文17篇，其中SCI论文13篇，国际顶级会议1篇，EI论文3篇。代表作有：

[1] Chen Z, Yue J, Bi X. Lightweight Dongba character recognition: A novel and simple baseline[J]. Expert Systems with Applications, 2026, 295: 128944.

[2] Bi X, Tao W, Chen Z*, et al. SCC3: A Novel Structure-Connected Cognition Cube Network for Manchu Word Recognition[J]. Expert Systems with Applications, 2025: 129374.

[3] Bi X, Yue J, Chen Z. Lightweight Text-VQA: Superior trade-off between performance and capacity[J]. Expert Systems with Applications, 2025, 270: 126478.

[4] Bi X, Sun Z, Chen Z. A novel unsupervised contrastive learning framework for ancient Yi script character dataset construction[J]. npj Heritage Science, 2025, 13(1): 39.

[5] Chen Z, Bi X, Li S, et al. Omni-scale feature learning for lightweight image dehazing[J]. Applied Intelligence, 2024, 54(20): 10039-10054.

[6] Yue J, Bi X, Chen Z. Heterogeneous-branch integration framework: Introducing first-order predicate logic in Logical Reasoning Question Answering[J]. Neurocomputing, 2024, 609: 128504.

[7] Li S, Liu T, Bi X, Chen Z. Information Dropping Data Augmentation for Machine Translation Quality Estimation[J]. IEEE-ACM Transactions on Audio Speech and Language Processing, 2024, 32: 2112-2124.

[8] Yue J, Bi X, Chen Z. A novel two-stage model with cross-level contrastive learning for Text-VQA[C].//International Conference on Learning Representations (ICLR), 2024.

[9] Chen Z, Sun Y, Bi X, et al. Lightweight image de-snowing: A better trade-off between network capacity and performance[J]. Neural Networks, 2023, 165: 896-908.

[10] Yue J, Bi X, Sun Y, Chen Z. Retrospective multi-granularity fusion network for Chinese idiom cloze-style reading comprehension[J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 22(7): 1-20.

[11] Kong W, Liu B, Bi X, Pei J, Chen Z. Instructional mask autoencoder: a scalable learner for hyperspectral image classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 17: 1348-1362.

[12] 陈峥,毕晓君.基于轻量级神经网络的单幅图像去雨滴模型[J].哈尔滨工程大学学报, 2023, 44(02): 292-299. (EI源期刊)

[13]Chen Z, Bi X, Zhang Y, et al. Lightweightderain: learning a lightweight multi-scale high-order feedback network for single image de-raining[J]. Neural Computing and Applications, 2022, 34(7): 5431-5448.

[14] Bi X, Chen Z, et al. LRP-net: A lightweight recursive pyramid network for single image deraining[J]. Neurocomputing, 2022, 490: 181-192.

研究方向：深度学习、图像处理、自然语言处理、轻量级神经网络等。

社会兼职：《黑龙江工程学院学报》青年编委，Knowledge-Based Systems、Scientific Reports、Signal, Image and Video Processing、Visual Computer、Multimedia Systems等国际期刊审稿人。

招生意向：专硕：电子信息（计算机方向、人工智能方向）

联系方式：202301050@muc.edu.cn