🤝LIR Lab Introduction

Our team consists of 2 PhD candidates and 25 masters.

Core Focus:
We concentrate on the field of Computer Vision (CV), with key areas of research including:

⚙️ Low-level Vision Enhancement: Low light, adverse weather adaptation, denoising, restoration, and fusion.
⚙️ Intelligent Analysis of Medical Images: Segmentation and diagnostic assistance.
⚙️ Metric Learning and Domain Generalization: Contrastive learning, unsupervised and semi-supervised learning.
⚙️ Infrared Small Target Detection and Tracking: Remote sensing and security scenarios.

🎓Leader Introduction

刘萍萍是吉林大学计算机科学与技术学院教授，博士生导师，中国计算机学会会员。研究方向为底层视觉图像增强，度量学习，医学影像分析，红外小目标检测及嵌入式人工智能。近三年在国际顶级会议/期刊（CCF-A/B/C，中科院 1 区/2 区）上发表学术论文21 篇，其中以第一/通讯作者身份发表论文 11 篇。担任《吉林大学学报（工学版）》编委，长期担任 CCF 顶级会议 IJCAI，AAAI，NIPS，ACM MM 等和 IEEE 旗舰期刊 TIP，TCYB， TNNLS， ACM 旗舰期刊TMM, TKDD 等的审稿人。获得“2024年度中国商业联合会科技进步奖二等奖”一项（排名第一），“2024年度中国发明协会发明创新创业奖二等奖”一项（排名第三）。中国授权发明专利31项。承担国家自然科学基金、中国博士后基金、吉林省自然科学基金、吉林省青年科研基金、吉林省工业领域重点研发项目等多项科研项目

Liu Pingping is a Professor at the School of Computer Science and Technology, Jilin University, and a doctoral supervisor. She is a member of the China Computer Federation. Her research interests include low-level vision image enhancement, metric learning, medical image analysis, infrared small target detection, and embedded artificial intelligence. In the past three years, she has published 21 academic papers in top international conferences/journals (CCF-A/B/C, Chinese Academy of Sciences Zones 1/2), with 11 of these papers as the first or corresponding author. She serves as an editorial board member for the Journal of Jilin University (Engineering Edition) and has been a reviewer for leading CCF conferences such as IJCAI, AAAI, NIPS, ACM MM, as well as for flagship IEEE journals including TIP, TCYB, TNNLS, and ACM flagship journals like TMM and TKDD. She has received the “2024 China Association for Productivity Promotion Scientific and Technological Progress Award (Second Prize)” (ranked first) and the “2024 China Invention Association Innovation and Entrepreneurship Award (Second Prize)” (ranked third). Professor Liu holds 31 authorized patents in China. She has undertaken multiple research projects, including those supported by the National Natural Science Foundation, the China Postdoctoral Fund, the Jilin Provincial Natural Science Fund, the Jilin Provincial Youth Science Fund, and key R&D projects in the industrial sector of Jilin Province.

🔥 News

2025.09: 🎉🎉 One paper accepted to ESWA 2025.
2025.08: 🎉🎉 One paper accepted to TGRS 2025.
2025.07: 🎉🎉 One paper accepted to ICCV 2025.
2025.06: 🎉🎉 Two paper accepted to ESWA 2025.
2025.05: 🎉🎉 One paper accepted to INFFUS 2025.
2025.03: 🎉🎉 One paper accepted to ICME 2025.
2024.07: 🎉🎉 One paper accepted to ACM MM 2024.

📚 Selected Publications

* and † denote a corresponding author and an equal-contribution author, respectively.

LSDSSMs:Infrared Small Target Detection Network based on Low-Rank Sparse Decomposition State Space Models (TGRS 2025, CCF-B)

Yubing Lu, Pingping Liu*, Aohua Li, Qiuzhan Zhou, Kai Zhang

CWNet: Causal Wavelet Network for Low-Light Image Enhancement (ICCV 2025, CCF-A)

Tongshun Zhang, Pingping Liu*, Yubing Lu, Mengen Cai, Zijian Zhang, Zhe Zhang, Qiuzhan Zhou

Cross-modal guided and refinement-enhanced Retinex network for robust low-light image enhancement (Information Fusion 2025)

Tongshun Zhang, Pingping Liu*, Mengen Cai, Xiaoyi Wang, Qiuzhan Zhou

APMoE-Net: Fourier Amplitude-Phase Joint Enhancement and MoE Compensation for Low-Light lmage Enhancement (ESWA 2025, CCF-C)

Mengen Cai, Tongshun Zhang †, Pingping Liu*, Qiuzhan Zhou

Multi-modal fusion guided retinex-based low-light image enhancement (ESWA 2025, CCF-C)

Pingping Liu*, Xiaoyi Wang, Tongshun Zhang, Liyuan Yin

Dual-proxies contrast-focused loss in domain generalization (ESWA 2025, CCF-C)

Pingping Liu*, Shihao Liu, Qiuzhan Zhou

ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning (ICME 2025, Oral, CCF-B)

Ming Zhao, Pingping Liu*, Tongshun Zhang, Zhe Zhang

DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement (ACM MM, Oral 3.97%, CCF-A)

Tongshun Zhang, Pingping Liu*, Ming Zhao, Haotian Lv

Deep metric learning assisted by intra-variance in a semi-supervised view of learning (EAAI 2024, CCF-C)

Pingping Liu*, Zetong Liu, Yijun Lang, Qiuzhan Zhou, Qingliang Li

An Intra-Class Ranking Metric for Remote Sensing Image Retrieval (Remote Sensing 2023)

Pingping Liu*, Xiaofeng Liu, Yifan Wang, Zetong Liu, Qiuzhan Zhou, Qingliang Li

Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues (Remote Sensing 2023)

Pingping Liu*, Zetong Liu, Xue Shan, Qiuzhan Zhou

Learnable Dynamic Margin in Deep Metric Learning (PR 2022, CCF-B)

Yifan Wang, Pingping Liu*, Yijun Lang, Qiuzhan Zhou, Xue Shan

📖 Selected Patents

无监督曝光矫正的曝光偏差增强网络模型构建方法、系统（CN120318103B）2025 刘萍萍;尹莉媛;张同顺;王晓艺;周求湛
一种低光图像增强方法、系统、设备以及存储介质（CN119090751B）2025 刘萍萍;李天奇;周求湛;张同顺;卢禹冰
一种低光图像增强方法及系统（CN119379551B）2025 刘萍萍;张同顺;蔡蒙恩;张哲;王晓艺;周求湛
一种低光图像增强方法、系统、设备以及存储介质 (CN120374475A) 2025 刘萍萍; 王晓艺; 张同顺; 尹莉媛; 周求湛; 侯建华
红外小目标检测模型的构建方法及红外小目标检测方法 (CN119399450B) 2025 刘萍萍; 卢禹冰; 李奥华; 张凯; 周求湛; 薛晴伊
基于多路金字塔轻量级医学图像分割网络、方法和设备 (CN117274607B) 2024 刘萍萍; 杜广新; 周求湛
一种基于分类标签的深度哈希检索方法 (CN115587207A) 2023 刘萍萍; 刘泽同; 单雪; 周求湛; 王一帆
细粒度图像检索方法及装置 (CN116955671B) 2023 刘萍萍; 胡锦华; 周求湛
基于对比相似性损失函数的细粒度图像检索方法 (CN110659378B) 2023 刘萍萍; 勾贵霞; 金白鑫; 石立达; 王振; 王慧; 朱俊杰; 单雪
基于精细化全局注意力机制图像特征提取方法和分割方法 ( CN116503428B) 2023 刘萍萍; 代创业; 宁港军; 商文理; 周求湛
半监督图像分类方法及半监督图像分类系统 (CN116894985B) 2023 刘萍萍; 陈鹏飞; 周求湛
一种基于排序学习和多元损失的图像检索方法 (CN110188225B) 2022 刘萍萍; 赵宏伟; 范丽丽; 王鹏; 勾贵霞; 王振; 王慧

👨‍🎓 Students

Current PhD Students

Tongshun Zhang 张同顺 (2023) [Homepage Link]
Yubing Lu 卢禹冰 (2024) [Homepage Link]

Current MS Students

2025 Grade

Jiaqi Liu 刘嘉琪
Haoran Liu 刘浩然
Dongyu Li 李栋禹
Zefeng Xu 徐泽枫
Pengyu Xu 徐鹏宇
Yuqing Lei 雷宇卿

2024 Grade

Zixuan Zhong 钟子璇
Qi Chai 柴琦
Zhanshun Meng 孟湛顺
Ming Yang 杨铭
Jiamiao Liu 刘佳妙
Muyao Wang 王慕尧
Haoyu Yang 杨浩宇
Jiahao Liu 刘佳豪
Aohua Li 李奥华
Mengen Cai 蔡蒙恩 (低光图像增强 ESWA *1)
Jiaqi Zhang 张嘉齐
Lixia Liu 刘丽霞
Wenlong Shao 邵文珑
Shijun Fu 符士骏

2023 Grade

Tianqi Li 李天奇 (低光图像增强 CVIU *1)
Songan Chen 陈颂安
Longyu Hu 胡龙雨
Yu Luo 罗钰
Haodong Li 李浩东
Xiaoyi Wang 王晓艺 (低光图像增强 ESWA *1)
Ming Zhao 赵明 (低光图像增强 ICME *1)
Zhe Zhang 张哲
Liyuan Yin 尹莉媛

MS Graduates

2022 Graduates

Xiaofeng Liu 刘晓峰 - 字节跳动
Shihao Liu 刘世豪 - 小鹏汽车
Xiaoyu Xie 解晓宇 - 中国农业发展银行软件开发中心
Shengmin You 尤胜民 - 中国移动通信集团山东有限公司
Chuangye Dai 代创业 - 武汉金山办公软件有限公司
Zhongqi Wang 王中奇 - 济南浪潮数据技术有限公司

2021 Graduates

Zetong Liu 刘泽同 - 一汽大众
Pengfei Chen 陈鹏飞 - 中国第一汽车集团有限公司研发总院
Jinhua Hu 胡锦华 - 中国电子科技集团有限公司电子科学研究院
Guangxin Du 杜广新 - 中国第一汽车集团有限公司研发总院
Wenli Shang 商文理 - 中共吉林省委党校

2020 Graduates

Yifan Wang 王一帆 - 字节跳动
Gangjun Ning 宁港军 - 中联重科股份有限公司
Xiaokang Yang 杨晓康 - 中航行移动科技有限公司

2019 Graduates

Xue Shan 单雪 - 深圳移动
Junjie Zhu 朱俊杰 - 台积电（中国）有限公司

2018 Graduates

Lida Shi 石立达 - 吉林大学博士研究生
Baixin Jin 金百鑫 - 中国第一汽车集团有限公司研发总院
Guixia Gou 勾贵霞

2017 Graduates

Zhuang Miao 苗壮 - 长光卫星
Huili Guo 郭慧俐 - 陕西省国库支付中心