姓名：袁景凌

性别：女

学位：博士

职称：教授

E-mail：yuanjingling@126.com

主要研究兴趣：

1. 机器学习与绿色计算

2. 大数据处理及加速计算

3. 智能计算交叉领域应用

项目情况（近五年主持和参与项目）：

[1] 国家自然科学基金面上项目，面向交通视频分析的低功耗异构边缘计算研究，2025-2028，主持

[2] 武汉东湖高新区“揭榜挂帅”项目，多模态新闻内容的智能抽取及个性化推荐，2024-2026，主持

[3] 重点实验室项目，基于上市公司科技数据的区域产业创新能力评价研究，2021-2023，主持

[4] 国家自然科学重大仪器专项，高分辦无损伤跨尺度电化学原位测试系统研制，2022-2026，参与

代表性论文：

[1] Suxin Tong, Jingling Yuan*. Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows[C]. AAAI, 2025. (CCF A)

[2] Xin Zhang, Peiliang Zhang, Jingling Yuan*, Lin Li. Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles[C]. AAAI, 2025. (CCF A)

[3] Yi Lei, Huilin Zhu, Jingling Yuan, et al. DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy[C]. ACM MM, 2024. (CCF A)

[4] Huilin Zhu, Jingling Yuan, Zhengwei Yang, et al. Zero-shot Object Counting with Good Exemplars[C]. ECCV, 2024. (CCF B)

[5] Peiliang Zhang, Jingling Yuan*, Lin Li, et al. Key Substructure Learning with Chemical Intuition for Material Property Prediction[C]. DASFAA, 2024. (CCF B)

[6] Huilin Zhu, Jingling Yuan, Xian Zhong, et al. DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting[C]. ACM MM, 2023. (CCF A)

[7] Xin Zhang, Jingling Yuan*, Lin Li, et al. Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition[C]. WSDM, 2023. (CCF B)

[8] Huilin Zhu, Jingling Yuan, Zhengwei Yang, et al. Fine-Grained Fragment Diffusion for Cross Domain Crowd Counting[C]. ACM MM, 2022. (CCF A)

[9] Jiansheng Dong, Jingling Yuan*, Lin Li, et al. A Lightweight High-Resolution Representation Backbone for Real-Time Keypoint-Based Object Detection[C]. ICME, 2020. (CCF B)

[10] Jiansheng Dong, Jingling Yuan*, Lin Li, et al. Optimizing Queries over Video via Lightweight Keypoint-based Object Detection[C]. ICMR, 2020. (CCF B)

[11] Yang He, Jingling Yuan*, Lin Li. Enhancing RNN Based OCR by Transductive Transfer Learning from Text to Images[C]. AAAI, 2018. (CCF A)

[12] Mincheng Chen, Jingling Yuan*, Lin Li, et al. A Fast Heuristic Attribute Reduction Algorithm Using Spark[C]. ICDCS, 2017. (CCF B)

[13] Yang Yu, Jingling Yuan*, Liang Liao, et al. Ensemble Cross UNet Transformers for Augmentation of Atomic Electron Tomography[J]. IEEE Transactions on Instrumentation and Measurement, 2024.

[14] Jingling Yuan*, Yao Xiang, Yuhui Deng, et al. UPOA: A User Preference Based Latency and Energy Aware Intelligent Offloading Approach for Cloud-edge Systems[J]. IEEE Transactions on Cloud Computing, 2023.

[15] Huilin Zhu, Jingling Yuan*, Xian Zhong*, et al. Find Gold in Sand: Fine-Grained Similarity Mining for Domain-Adaptive Crowd Counting[J]. IEEE Transactions on Multimedia, 2024.

[16] Jingling Yuan*, Hua Xiao, Zhishu Shen, et al. ELECT: Energy-efficient Intelligent Edge-cloud Collaboration for Remote IoT Services[J]. Future Generation Computer Systems, 2023.

[17] Jingling Yuan*, Nana Wang, Siqi Cai, et al. AMLFN-AD: Adaptive multi-level integrated fusion attack detection framework for intelligent building systems[J]. Computer Networks, 2023.

[18] Suxin Tong, Jingling Yuan*, Peiliang Zhang, et al. Legal judgment prediction via graph boosting with constraints[J]. Information Processing & Management, 2024.

[19] Peiliang Zhang, Chao Che, Bo Jin, Jingling Yuan*, et al. NCH-DDA: Neighborhood Contrastive Learning Heterogeneous Network for Drug-Disease Association Prediction[J]. Expert Systems with Applications, 2023.

[20] Jingling Yuan*, Mincheng Chen, Tao Jiang, et al. Complete tolerance relation based parallel filling for incomplete energy big data[J]. Knowledge-Based Systems, 2017.

[21] Mincheng Chen, Jingling Yuan*, Lin Li, et al. Heuristic attribute reduction and resource-saving algorithm for energy data of data centers[J]. Knowledge and Information Systems, 2019.

[22] Deming Sheng, Jingling Yuan*, Qing Xie, et al. ACMF: An Attention Collaborative Extended Matrix Factorization Based Model for MOOC course service via a heterogeneous view[J]. Future Generation Computer Systems, 2022.

[23] Jingling Yuan*, Nana Wang, Siqi Cai, et al. A Lightweight Crack Detection Model Based on Multibranch Ghost Module in Complex Scenes[J]. IEEE Sensors Journal, 2023.

[24] 袁景凌*, 钟珞, 杨光, 等. 绿色数据中心不完备能耗大数据填补及分类算法研究[J]. 计算机学报, 2015.

[25] 杜承垚, 袁景凌*, 陈旻骋, 等. GPU加速与L-ORB特征提取的全景视频实时拼接[J]. 计算机研究与发展, 2017.

[26] 袁景凌*, 陈旻骋, 江涛, 等. 异构云环境下AHP定权的多目标强化学习作业调度方法[J]. 控制与决策, 2022.

[27] 张鑫, 袁景凌*, 李琳, 等. 基于去偏对比学习的多模态命名实体识别[J]. 中文信息学报, 2023.

代表性发明专利：

[1] 一种基于弹性尺度聚合的用户资源动态分配方法, ZL2020112107503.

[2] 一种基于多进程数据流的海量虚实数据比对方法, ZL202011051147.5.

[3] 一种基于幻影卷积的轻量级工程结构裂缝识别方法及系统, ZL202210084371.7. (已转化)

[4] 基于增强自编码的电子衍射晶体结构加速重建方法及系统, ZL202210195074.X.

[5] 一种多能源供给边缘系统的最优碳排计算卸载方法及系统, ZL202210654463.4.

[6] 一种基于元搜索的仿生控制方法, ZL202110108570.2.

[7] 一种基于点云预处理和ShuffleNet的移动端三维位姿估计方法, ZL 202110634620.0.

[8] 一种云边协同的双利益均衡禁忌强化学习资源分配方法, ZL202111209997.8.

[9] 一种基于形变特征快速提取的并行损伤识别方法及系统, ZL202110379151.2.

[10] 一种基于离散弱相关的云平台决策森林分类方法, ZL 201510133866.4. (已转化)

[11] 一种基于完备相容类的云平台不完备大数据填补方法, ZL 201510051653.7. (已转化)

[12] 水泵组多级液位三维均衡负载控制系统及其控制方法, ZL 2014 1 0292441.3. (已转化)

个人介绍：

教授/博导，特色专业责任教授，CCF杰出会员，CCF体系结构专委会委员，湖北省计算机学会理事，CCF武汉秘书长。在AAAI，MM，ISCA，PACT、TMM，TCC，TIM，计算机学报，计算机研究与发展等人工智能和计算机体系结构等国际国内优秀期刊及会议上发表论文80余篇，编写专著和教材10余本，制定湖北省地方标准1项，获得国家发明专利15项和软件著作权20余项。主持和参与了国家自然科学基金等项目。荣获湖北省教学成果一等奖2项，湖北省教学成果二等奖1项、湖北省自然科学二等奖、湖北省科技进步二等奖、三等奖。多次担任计算机及创新创业大赛评委。