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] 湖北省高质量发展项目，基于AI的数字信息基础设施低碳关键是技术研究与应用，2023-2025，子项负责
[5] 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] Bin Hu , Jingling Yuan*, et al. Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning[C].AAAI,2026 (CCF A)
[2] Suxin Tong, Jingling Yuan*. Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets[C]. AAAI, 2026. (CCF A)
[3] Tian Zhang, Yujia Tong, Junhao Dong, Ke Xu, Yuze Wang, Jingling Yuan*. Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks. ICML, 2026.(CCF A)
[4] Peiliang Zhang, Jingling Yuan*, et al. Representational alignment with chemical induced fit for molecular relational learning[C]. KDD, 2026.(CCF A)
[5] Peiliang Zhang, Jingling Yuan*, ,et al.Cross-Domain Molecular Relational Learning: Leveraging Chemical Structure-Activity Analysis[J]. KDD, 2026. (CCF A)
[6] Chengxu Yang, Jingling Yuan*, et al. Heaven-Sent or Hell-Bent? Benchmarking the Intelligence and Defectiveness of LLM Hallucinations[C]. KDD, 2026. (CCF A)
[7] Suxin Tong, Jingling Yuan*. Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows[C]. AAAI, 2025. (CCF A)
[8] Xin Zhang, Peiliang Zhang, Jingling Yuan*, Lin Li. Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles[C]. AAAI, 2025. (CCF A)
[9] Peiliang Zhang, Jingling Yuan*, et al. Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning[C].IJCAI, 2025.(CCF A)
[10] Yujia Tong, Yuze Wang, Jingling Yuan*, Chuang Hu. Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels[C]. ICCV, 2025. (CCF A)
[11] 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）
[12] 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）
[13] Huilin Zhu, Jingling Yuan, Zhengwei Yang, et al. Fine-Grained Fragment Diffusion for Cross Domain Crowd Counting[C]. ACM MM, 2022. (CCF A）
[14] Xin Zhang, Jingling Yuan*, Lin Li, Zhaohui Deng, Jinqiao Du, Wen Luo*, Liqiang Mai*. Advancing battery failure diagnosis by knowledge-augmented large language models[J]. National Science Review, 2026, 13(14). (中科院一区，IF 18.1)
[15] Suxin Tong, Jingling Yuan*. PAREformer: Positional Adaptive and Recurrent Enhanced Transformer for Time Series Forecasting[J]. Information Fusion, 2025: 103967. (中科院一区，IF 17.4)
[16] Yaxin Li, Kaiwei Lin, Jingling Yuan*, Chuang Hu. Function-as-a-Service Empowered Edge-Cloud Analytics System For Short Video Platforms[J]. IEEE Transactions on Computers, 2026. (CCF A)
[17] Yujia Tong, Jingling Yuan*, et al. Enhancing quantization-aware training on edge devices via relative entropy coreset selection and cascaded layer correction[J]. IEEE Transactions on Mobile Computing (TMC), 2026. (CCF A，中科院一区)
[18] Peiliang Zhang, Jijun Wang, Jingling Yuan*, et al. Core-Aware Contrastive Learning with Substructure Adaptivity for Stable Drug-Drug Interaction Event Prediction in Consumer Healthcare[J]. IEEE Transactions on Consumer Electronics, 2026. (中科院一区)
[19] Chengxu Yang, Siqi Cai, Jingling Yuan*, et al. Mitigating hallucination in multimodal large language models via cross-layer visual anchors[J]. Pattern Recognition, 2026: 114380. (中科院一区)
[20] Dewang Zhang, Jingling Yuan*, et al. Directly training on quantized model via gradient scale correction for edge device[J]. Neural Networks, 2026: 109266. (中科院一区)
[21] Yang Yu, Jingling Yuan*, Xian Zhong, et al. Sparse Mixture of Mambas for Domain Generalized Atomic Electron Tomography Augmentation[J]. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025. (CCF A, 中科院二区)
[22] Xin Zhang, Jingling Yuan*, Peiliang Zhang, Jia Liu, Lin Li. Active Knowledge Structuring for Large Language Models in Materials Science Text Mining[J]. Transactions of the Association for Computational Linguistics (TACL). 2025. (中科院二区, JCR Q1)
[23] Suxin Tong, Jingling Yuan. PAREformer: Positional Adaptive and Recurrent Enhanced Transformer for Time Series Forecasting[J]. Information Fusion, 2025: 103967. (中科院一区)
[24] Peiliang Zhang, Jingling Yuan, et al. Prototype Learning with Structural-Semantic Alignment for Interpretable Molecular Relational Learning[J]. Knowledge-Based Systems, 2026: 115460. (中科院一区)
[25] Siqi Cai, Xuan Liu, Jingling Yuan*, Qihua Zhou. Prompt-Ladder: Memory-Efficient Prompt Tuning for Vision-Language Models on Edge Devices[J]. Pattern Recognition (PR), 2025. (中科院一区)
[26] Huilin Zhu, Jingling Yuan, Zhengwei Yang, et al. Zero-shot Object Counting with Good Exemplars[C]. ECCV, 2024. (CCF B)
[27] Xin Zhang, Jingling Yuan*, Lin Li, et al. Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition[C]. WSDM, 2023. (CCF B)
[28] Peiliang Zhang, Jingling Yuan*, Lin Li, et al. Key Substructure Learning with Chemical Intuition for Material Property Prediction[C]. DASFAA, 2024. (CCF B)
[29] Yujia Tong, Jingling Yuan, Tian Zhang, et al. Data-Free Quantization of Vision Transformers via Easy-to-Hard Synthesis and Activation Correction[J]. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2025.(中科院二区)
[30] Ying Wang, Jingling Yuan, Wenbo Wu, et al. Toward Inference Latency Optimization for Scalable Collaborative Multi-UAV Analytics[J]. IEEE Transactions on Green Communications and Networking, 2025. (中科院二区)
[31] 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 (TIM), 2024. (中科院二区, JCR Q1)
[32] 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 (TCC), 2023. (中科院二区, JCR Q1)
[33] 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 (TMM), 2024. (中科院一区)
[34] 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. (中科院二区, JCR Q1)
[35] 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. (中科院二区, JCR Q1)
[36] 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.
[37] 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.
[38] 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.
[39] 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.
[40] 赵启轩,袁景凌*,张鑫,俞洋,李琳.时频域差分熵增强的多线图稳定聚类[J].控制与决策,2025
代表性发明专利：
[1] 受控知识迁移的海洋遥感广义小样本目标检测方法及系统, ZL20261 0547287.2.
[2] 一种基于核心集选择的运维异常检测方法及系统, ZL202512005724.6.
[3] 一种基于关键体素块选取的位姿估计方法及系统,ZL202510977990.2.
[4] 一种跨空间协同学习轻量级海岸堤坝裂缝分割方法, ZL202510007771.1
[5] 一种短时紧凑联级的轻量化结构裂隙分割方法:ZL202310661258.5
[6] 一种频率解耦的多天气场景裂缝识别方法及系统, ZL202510586720.9.
[7] 一种中草药-基因关联关系预测方法、系统及存储介质, ZL202510662375.2.
[8] 细粒度结合特征相似度检索的跨域人群计数方法及系统:ZL202210555319.
[9] 一种基于多进程数据流的海量虚实数据比对方法, ZL202011051147.5.
[10] 一种基于弹性尺度聚合的用户资源动态分配方法, ZL2020112107503.
[11] 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)
[12] 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.
[13] 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.
[14] 一种基于元搜索的仿生控制方法, ZL202110108570.2.
[15] 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.
[16] 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.
[17] 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.
[18] 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)
[19] 城市长隧道L-DNA 仿生监控方法及系统, ZL200910273334.5.
[20] 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)
[21] 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：
袁景凌，武汉理工大学计算机与人工智能学院教授/博导，交通物联网技术湖北省重点实验室主任，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/副秘书长，CCF武汉执委。主要研究兴趣包括机器学习、绿色计算、边缘智能、AI4Science。在ICML，AAAI，KDD，IJCAI，ICCV/ECCV，ACM MM，TC，TMM，TMC, TNNLS, TCC，TIM，TACL，计算机学报，计算机研究与发展等人工智能和计算机领域国际国内优秀期刊及会议上发表论文80余篇，是AAAI，IJCAI，CVPR等顶会评审专家，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25项。主持和参与了国家自然科学基金、国家重点仪器专项等项目。荣获湖北省教学成果奖4项，教育部科学研究优秀成果二等奖、湖北省自然科学二等奖、中国发明协会创新成果一等奖、产学研合作促进会创新成果奖、湖北省科技进步二等奖/三等奖等。曾获得师德标兵，优秀研生导师，青年教师讲课比赛一等奖等，积极指导本科生及研究生参加学科竞赛，多次担任计算机及创新创业大赛评委。