古晓艳 女 正高级工程师 博导 中国科学院信息工程研究所
电子邮件: guxiaoyan@iie.ac.cn
通信地址: 北京市海淀区树村路19号2C
邮政编码: 100085
研究领域
数据安全,人工智能安全,深度学习
招生信息
*** 欢迎对课题组研究方向感兴趣的同学邮件联系,guxiaoyan@iie.ac.cn ***
古晓艳,博士,正高级工程师,博士生导师。本科毕业于山东大学计算机学院,博士毕业于中国科学院计算技术研究所。研究方向包括数据安全、人工智能安全、深度学习,先后主持和参与国家科技支撑计划、国家重点研发计划、中科院先导专项、国家部委重大工程项目等10余项。在TIP、ICDE、AAAI、MM、CIKM等国际期刊或会议上发表论文50余篇,申请专利10余项,相关研究成果应用在多个重大项目中,荣获2021年度公安部科学技术奖一等奖。
招生专业
招生方向
教育背景
学历
学位
工作经历
工作简历
教授课程
专利与奖励
专利成果
出版信息
发表论文
SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Action Segmentation, TOMM 2024
Gie: Gradient Inversion with Embeddings, ICME 2024
Tackling Feature Skew in Heterogeneous Federated Learning with Semantic Enhancement, ICME 2024
Noise-Aware Person Re-Identification via Local Uncertainty Estimation, IJCNN 2024
Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction, COLING 2024
FUR-API: Dataset and Baselines Toward Realistic API Anomaly Detection, ICASSP 2024
Meta-Knowledge Enhanced Data Augmentation for Federated Person Re-Identification, ICASSP 2024
Online Caching with Switching Cost and Operational Long-term Constraints: An Online Learning Approach, ICASSP 2024
Universal Domain Adaptive Network Embedding for Node Classification, ACM MM 2023
Learning Pari-Centric Representation for Link Sign Prediction with Subgraph, CIKM 2023
ERPG: Enhancing Entity Representations with Prompt Guidance for Complex Named Entity Recognition, ICME 2023
BMIPN: A Biased Multi-granularity Interaction Prototype Network for Few-shot Relation Extraction, ECAI 2023
User Popularity Preference Aware Sequential Recommendation, ICCS 2023
Powering Fine-tuning: Learning Compatible and Class-sensitive Representations for Domain Adaption Few-shot Relation Extraction, DASFAA 2023
RAN: A Relation-Aware Network for Relation Extraction, IJCNN 2023
Revisiting Multi-Codebook Quantization, TIP 2023
Learning Discriminative Semantic and Multi-view Context for Domain Adaptive Few-shot Relation Extraction, ICONIP 2023
Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction, ICONIP 2023
Dual Reasoning Based Pairwise Representation Network For Document Level Relation Extraction, ICME 2022
Gait Recognition in the Wild with Multi-hop Temporal Switch, ACM MM 2022
REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer, ACM MM 2022
Flexible Order Aware Sequential Recommendation, ICMR 2022
Multi-granularity Evolution Network for Dynamic Link Prediction, PAKDD 2022
Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space, ACM MM 2022
Combining Meta-path instances into Layer-wise Graphs for Recommendation, DASFAA 2021
MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification, ACM MM , 2021
Heterogeneous Side Information-based Iterative Guidance Model for Recommendation, ICMR, 2021
Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation, ICANN 2021
Semi-supervised Graph Edge Convolutional Network for Anomaly Detection, ICANN 2021
RCS: An Attributed Community Search Approach Based on Representation Learning, IJCNN 2021
Adaptive Relation Discovery from Focusing Seeds on Large Networks, ICDE, 2020
Analyzing periodicity and saliency for adult video detection, MULTIMEDIA TOOLS AND APPLICATIONS, 2020
Community Focusing: Yet Another Query-Dependent Community Detection, AAAI, 2019
Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval, ICMR, 2019, 最佳学生论文奖
Meta-Graph Based Attention-Aware Recommendation over Heterogeneous Information Networks, ICCS 2019
Name-face association with web facial image supervision, MULTIMEDIA SYSTEMS, 2019
psDirector: An Automatic Director for Watching View Generation from Panoramic Soccer Video, MMM, 2019
Discriminative Deep Attention-Aware Hashing for Face Image Retrieval, PRICAI 2019
A Deep-learning based Multi-modality Sensor Calibration Method for USV, BIGMM, 2018
Detecting Uyghur text in complex background images with convolutional neural network, MULTIMEDIA TOOLS AND APPLICATIONS, 2017
Framework Detecting Uyghur text in complex background images with convolutional neural network, BigMM, 2017
Deep Learning Based Intelligent Basketball Arena with Energy Image, MMM 2017
一种面向大规模社会信息网络的多层社区发现算法,计算机学报, 2016
Context-Oriented Name-Face Association in Web Videos, The 2016 Pacific-Rim Conference on Multimedia, 2016
Fast Multiway Maximum Margin Clustering Based on Genetic Algorithm via the NystrÖm Method, WAIM 2015
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks, CIKM 2015
A Virtual Shared Metadata Storage for HDFS, NAS 2015
LuBase: A Search-Efficient Hybrid Storage System for Massive Text Data, ICA3PP 2015
科研活动
科研项目
指导学生
已指导学生
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任天一 硕士研究生 085400-电子信息
现指导学生
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翟明晖 硕士研究生 083900-网络空间安全
管增浩 硕士研究生 083900-网络空间安全
余鸿兰 硕士研究生 085400-电子信息
刘奕君 博士研究生 083900-网络空间安全
刘恒源 硕士研究生 081203-计算机应用技术
刘琪 硕士研究生 081201-计算机系统结构