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Hi, I am

Dr. Jingjing Li is currently a faculty member at University of Electronic Science and Technology of China (UESTC). My research interest includes Computer Vision, Machine Learning and Multimedia Analysis. I focus on Domain Adaptation, Zero-shot Learning and Recommender Systems.

  • Office: Room B1-705, Main Building, UESTC Qingshuihe Campus.
  • Email: jjl at uestc dot edu dot cn
  • Homepage in Chinese: faculty.uestc.edu.cn/jjl
  • What's New

    Publications


    2020
  • Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang and Yang Yang, CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language, WACV 2020, [pdf] [code]
  • Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie, Scalable Deep Hashing for Large-Scale Social Image Retrieval, IEEE Transactions on Image Processing (TIP) 2020, CCF A, [pdf] [code]
  • Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie, Scalable Deep Hashing for Large-Scale Social Image Retrieval, IEEE Transactions on Image Processing (TIP) 2020, CCF A, [pdf] [code]

  • 2019
  • Jingjing Li, Erpeng Chen, Ke Lu, Zhengming Ding, Lei Zhu and Zi Huang., Cycle-consistent Conditional Adversarial Transfer Networks, ACM Multimedia 2019, CCF A [pdf] [code]
  • Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang and Zi Huang., Alleviating Feature Confusion for Generative Zero-shot Learning, ACM Multimedia 2019, CCF A [pdf] [code]
  • Jingjing Li, Mengmeng Jing, Zhengming Ding, Lei Zhu and Zi Huang, Leveraging the Invariant Side of Generative Zero-Shot Learning, IEEE CVPR 2019, CCF A [pdf] [code]
  • Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang and Zi Huang, From Zero-Shot Learning to Cold-Start Recommendation, AAAI 2019, CCF A [pdf] [code]
  • Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu and Heng Tao Shen, Locality Preserving Joint Transfer for Domain Adaptation, IEEE Transactions on Image Processing (TIP) 2019, CCF A [pdf] [code]
  • Jingjing Li, Ke Lu, Zi Huang and Heng Tao Shen, On both Cold-Start and Long-Tail Recommendation with Social Data, IEEE Transactions on Knowledge Discovering and Engineering (TKDE), 2019, CCF A [pdf] [code]
  • Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu and Zi Huang, Agile Domain Adaptation, IJCNN 2019, [pdf] [code]
  • Chaoqun Zheng, Lei Zhu, Xu Lu, Jingjing Li, Zhiyong Cheng, Hanwang Zhang, Fast Discrete Collaborative Multi-modal Hashing for Large-scale Multimedia Retrieval, IEEE Transactions on Knowledge Discovering and Engineering (TKDE), 2019, CCF A [pdf] [code]
  • Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang, Adaptive Component Embedding for Unsupervised Domain Adaptation, IEEE International Conference on Multimedia and Expo (ICME), 2019, [pdf] [code]
  • Yi Bin, Chaofan Tao, Yang Yang, Zi Huang, Jingjing Li, Heng Tao Shen, MR-NET: Exploiting Mutual Relation for Visual Relationship Detection, AAAI, 2019, [pdf] [code]
  • Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu, Discrete Optimal Graph Clustering, IEEE Transcations on Cybernetics (TCYB), 2019, [pdf] [code]
  • Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie, Scalable Deep Hashing for Large-scale Social Image Retrieval, IEEE Transcations on Image Processing (TIP), 2019, [pdf] [code]
  • Xu Lu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiushan Nie and Huaxiang Zhang, Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval, ACM Multimedia 2019, [pdf] [code]
  • Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Jingjing Li, Yang Yang, Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation, ACM Multimedia 2019, [pdf] [code]
  • Ruihong Qiu, Jingjing Li, Zi Huang and Hongzhi Yin, Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks, CIKM 2019, [pdf] [code]
  • Jiwei Wei, Yang Yang, Jingjing Li, Lei Zhu, Lin Zuo and Heng Tao Shen, Residual Graph Convolutional Networks for Zero-Shot Learning, ACM Multimedia Asia 2019, [pdf] [code]

  • 2018
  • Jingjing Li, Ke Lu, Lei Zhu, Zi Huang and Jidong Zhao, I read, I saw, I tell: Texts Assisted Fine-grained Visual Classification, ACM Multimedia 2018, CCF A [pdf] [code]
  • Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen. Transfer Independently Together: A Generalized Framework for Domain Adaptation. IEEE Transactions on Cybernetics (TCYB), 2018, JCR I [pdf] [code]
  • Jingjing Li, Ke Lu, Lei Zhu, Zi Huang, Heng Tao Shen. Heterogeneous Domain Adaptation through Progressive Alignment, IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2018, JCR I [pdf] [code]
  • Jieyan Liu, Jingjing Li, Ke Lu, Coupled local–global adaptation for multi-source transfer learning, Neurocomputing, 2018. [pdf] [code]

  • Previous
  • Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu. Low-Rank Discriminant Embedding for Multiview Learning. IEEE Transactions on Cybernetics (TCYB), 2017, JCR I [pdf] [code]
  • Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen. Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation. ACM Multimedia (ACM MM), Mountain View, 2017. CCF A [pdf] [code]
  • Jingjing Li, Ke Lu, Jidong Zhao. Joint Feature Selection and Structure Preservation for Domain Adaptation. IJCAI, 2016, CCF A [pdf] [code]
  • Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu. Multi-manifold Sparse Graph Embedding for Multi‐modal Image Classification. Neurocomputing, 2016 [pdf] [code]
  • I've heard there was a secret chord