基本信息

闫彩霞（CAIXIA YAN）

博士  助理教授  硕士生导师

西安交通大学 计算机科学与技术学院

陕西省大数据知识工程重点实验室

跨媒体知识融合与工程应用研究所

荣誉奖励

 

  • 2024.4，西安交通大学优秀博士学位论文
  • 2023.8,   ICCV Vision Meets Drones 2023 challenge, Third Place.
  • 2022.9，徐宗本应用数学论文奖一等奖
  • 2022.7,   ECCV Mobile AI & AIM 2022 challenge，Fourth Place.
  • 2022.7，西安交通大学青年优秀人才支持计划
  • 2022.6，西安交通大学优秀博士毕业生
  • 2019.12，博士研究生国家奖学金
  • 2018.5，CSC联合培养博士奖学金

 

联系方式

邮箱：yancaixia@xjtu.edu.cn

地址：西安交通大学兴庆校区 西一楼129 

西安交通大学创新港校区 泓理楼4-6016

 

站点计数器

个人简介

简介：隶属于陕西省大数据知识工程重点实验室郑庆华院士团队，入选西安交通大学青年优秀人才支持计划，美国卡耐基梅隆大学（CMU）访问学者。在IEEE TPAMI、IEEE TIP、ICLR、AAAI等国际权威期刊和会议上发表论文20余篇，其中第一作者ESI高被引论文（前1%）2篇、ESI热点论文（前0.1%）1篇，申请和授权国家专利多项。作为项目负责人，主持国家自然科学基金青年基金项目、科技创新2030-“新一代人工智能”重大项目子课题、博士后科学基金面上项目等多项课题，参与团队多项国家自然科学基金委重大、重点项目和军口项目。

 

研究方向：机器视觉理解、高性能智能计算

 

招生信息：招收机器学习、深度学习、计算机视觉方向的硕士研究生，欢迎计算机、软件、物联网及相关专业的同学申报！

教育工作经历

  • 2022.10-至今，西安交通大学，计算机科学与技术学院，助理教授
  • 2018.10-2019.10，卡耐基梅隆大学，计算机科学学院，访问学者
  • 2015.09-2022.06，西安交通大学，计算机科学与技术学院，工学博士，导师：郑庆华院士
  • 2011.09-2015.06，西安交通大学，计算机科学与技术系，学士

代表性论文

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2023~2024年：

  • Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng*. Masked Distillation Advances Self-Supervised Transformer Architecture Search. The International Conference on Learning Representations, 2024.（领域顶级）
  • Jiahao Wang, Caixia Yan*, Weizhan Zhang*, Huan Liu, Hao Sun, Qinghua Zheng. SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection. The AAAI Conference on Artificial Intelligence, 2024. (CCF A类)
  • Yuanhong Zhang, Weizhan Zhang*, Haipeng Du, Caixia Yan, Qinghua Zheng. FHVAC: Feature-level Hybrid Video Adaptive Configuration for Machine-centric Live Streaming.  IEEE Transactions on Parallel and Distributed Systems, 2024. (CCF A类)
  • Muyao Yuan, Weizhan Zhang, Caixia Yan, Tieliang Gong, Yuanhong Zhang, Jiangyong Ying. Adaptive token selection for efficient detection transformer with dual teacher supervision. Knowledge-Based Systems, 2024: 112036. (CCF C类)
  • Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, et al. Disentangled Generation with Information Bottleneck for Enhanced Few-Shot Learning. IEEE Transactions on Image Processing, 2024. （CCF A类）
  • Tianliang Qi, Yujie Li, Weihua Ji, Kuo-Ming Chao, Yan Chen, Haiping Zhu, Caixia Yan, et al. Multiple GRAphs-oriented Random wAlk (MulGRA2) for social link prediction[J]. Information Sciences, 2024, 669: 120563. (CCF B类)
  • Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang. Towards Performance-Maximizing Neural Network Pruning Via Global Channel Attention. Neural Networks, 2024. (CCF B类)
  • Chengyou Jia, Minnan Luo*, Caixia Yan, et al. Collaborative Contrastive Refining for Weakly Supervised Person Search. IEEE Transactions on Image Processing (TIP), 2023. (CCF A类)
  • Zhihao Zhang, Yiwei Chen, Weizhan Zhang, Caixia Yan, Qinghua Zheng, et al. Tile Classification Based Viewport Prediction with Multi-modal Fusion Transformer. ACM International Conference on Multimedia (ACM MM), 2023. (CCF A类)
  • Zhuohang Dang, Minnan Luo, Chengyou Jia, Caixia Yan, Xiaojun Chang, Qinghua Zheng. Counterfactual Generation Framework for Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF B类)
  • Gaowen Liu, Huan Liu, Caixia Yan, Yuyang Guo, Rui Li, Sizhe Dang. Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement. International Conference on Neural Information Processing (ICONIP), 2023. (CCF C类)

 

2022年及之前：

  • Caixia Yan, Xiaojun Chang*, Zhihui Li, Zongyuan Ge, Weili Guan, Lei Zhu, Qinghua Zheng. ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. （ESI高被引论文，ESI热点论文，CCF A类）
  • Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang*, Qinghua Zheng. Semantics-Guided Contrastive Network for Zero-Shot Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (CCF A类，ESI高被引论文)
  • Caixia Yan*, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh and Alexander G. Hauptmann. Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. IEEE Transactions on Image Processing (TIP), 2020. (CCF A类)
  • Caixia Yan, Minnan Luo*, Huan Liu, Zhihui Li, Qinghua Zheng. Top-k Multi-Class SVM using Multiple Features. Information Sciences, 2018. (CCF B类)
  • Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang*, Zhihui Li, Feiping Nie. Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020. (JCR Q2)
  • Caixia Yan, Minnan Luo*, Wenhe Liu and Qinghua Zheng. Robust Dictionary Learning with Graph Regularization for Unsupervised Person Re-Identification. Multimedia Tools and Applications, 2018. (CCF C类)
  • Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie*. Discrete Multi-Graph Clustering. IEEE Transactions on Image Processing (TIP), 2019. (CCF A类)
  • Weifan Wang, Minnan Luo*, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng. Cross-Graph Representation Learning for Unsupervised Graph Alignment. International Conference on Database Systems for Advanced Applications (DASFAA), 2020. (CCF B类)
  • Huan Liu, Ke Li, Jianping Fan, Caixia Yan, Tao Qin*, Qinghua Zheng. Social Image-text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation. IEEE Transactions on Affective Computing (TAFFC), 2022. (CCF B类)
  • Huan Liu*, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao. Memory Transformation Networks for Weakly Supervised Visual Classification. Knowledge-Based Systems, 2020. (CCF C类)
  • Yuzhe Zhang, Chen Chen, Minnan Luo*, Jundong Li, Caixia Yan, Qinghua Zheng. Unsupervised Hierarchical Feature Selection on Networked Data. International Conference on Database Systems for Advanced Applications (DASFAA), 2020. (CCF B类)
  • 郝亚洲, 郑庆华, 陈艳平, 闫彩霞. 面向网络舆情数据的异常行为识别. 计算机研究与发展, 2016. (中文核心A类)