个人简介
教育背景
2009-09--2014-07 中国科学院计算技术研究所 博士研究生
2005-09--2009-07 山东大学计算机科学与技术学院 学士
工作简历
2022-10~现在, 中国科学院信息工程研究所, 正高级工程师
2016-10~2022-10,中国科学院信息工程研究所, 高级工程师
2014-07~2016-10,中国科学院信息工程研究所, 助理研究员
近期论文
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Optimal Caching for Partial-observation Regime and Beyond, TSC 2024
Diversified Semantic Distribution Matching for Dataset Distillation, MM 2024
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
LaAeb: A comprehensive log-text analysis based approach for insider threat detection, Computers & Security 2024
ELSEIR: A Privacy-Preserving Large-Scale Image Retrieval Framework for Outsourced Data Sharing, ICMR 2024
FTGraph: A Flexible Tree-based Graph Store on Persistent Memory for Large-Scale Dynamic Graphs, CLUSTER 2024
Domain-aware and Co-adptive 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
Noise-Aware Person Re-Identification via Local Uncertainty Estimation, IJCNN 2024
GL-NER: Generation-aware Large Language Models for Few-shot Named Entity Recognition, ICANN 2024
Identifying Misaligned Features for Cross-Domain Cold-start Recommendation, ICONIP 2024
Fine-grained Common Knowledge Learning for Domain Adaptive Few-shot Relation Extraction, ICONIP 2024
AnimateAnywhere: Context-Controllable Human Video Generation with ID-Consistent One-shot Learning, HCMA 2024
An Insider Threat Investigation Method by Graph Analysis with Log Texts, CNCIT 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
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