Zechao Li

Professor

Intelligent Media Analysis Group (IMAG)

School of Computer Science and Engineering

Nanjing University of Science and Technology

Email: zechao[dot]li[AT]njust[dot]edu[dot]cn

Biography

Zechao Li is currently a Professor and vice dean of the School of Computer Science and Engeering, the School of Artificial Intelligence, and the School of Software Engeering at the Nanjing University of Science and Technology. He received the Bachelor’s degree from University of Science and Technology of China (USTC) in 2008 and the Doctor degree from National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences in 2013. He has authored over 90 papers in top-tier journals and conferences. His research interests include multimedia analysis, object detection, semantic segmentation, few-shot learning, etc. He was a recipient of the Best Paper Award in ACM Multimedia Asia 2020, and the Best Student Paper Award in ICIMCS 2018. He has served as an Associate Editor for IEEE TPAMI, TNNLS, etc.

Research Interests

Cross-Media Intelligent Analysis, Object Detection, Semantic Segmentation, Few-shot Learning, Hashing

Major Honors & Awards

  • 2020-2023: Elsevier Highly Cited Chinese Researchers
  • 2022: The First Prize of Natural Sciences Award of The Chinese Institute of Electronics
  • 2020: The First Prize of Science and Technology Award of Jiangsu Province
  • 2020: Best Paper Award of ACM Multimedia Asia
  • 2018: The WU WEN JUN Artificial Intelligence Excellent Youth Award
  • 2018: Best Student Paper Award of International Conference on Internet Multimedia Computing and Service
  • 2017: The First Prize of Science and Technology Award of Jiangsu Province
  • 2017: Young Talent Program of China Association for Science and Technology
  • 2016: Top 10% Paper Award of IEEE MMSP
  • 2015: Excellent Doctoral Dissertation of Chinese Academy of Sciences
  • 2015: Excellent Doctoral Dissertation of China Computer Federation
  • 2013: President Scholarship of the Chinese Academy of Sciences

Courses Taught (Partial List)

Selected Publications [Google Scholar] [DBLP]

Yanpeng Sun, Jiahui Chen, ...,Jingdong Wang, Zechao Li*, "VRP-SAM: SAM with Visual Reference Prompt", IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
[Paper] [Pytorch Code]

Wei Tang, Liang Li, Xuejing Liu, Lu Jin, Jinhui Tang, Zechao Li*, "Context Disentangling and Prototype Inheriting for Robust Visual Grounding", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
[Paper] [Pytorch Code]

Yanpeng Sun, Qiang Chen, ..., Zechao Li*, Jingdong Wang, "Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning", Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Paddle Code] [Pytorch Code]

王锦荟, 金露, 李泽超*, 唐金辉. "基于知识蒸馏的跨模态哈希", 中国科学：技术科学, 2022.
[Paper] [Code]

Xinguang Xiang, Yajie Zhang, Lu Jin, Zechao Li, Jinhui Tang, "Sub-Region Localized Hashing for Fine-Grained Image Retrieval", IEEE Transactions on Image Processing (T-IP), 2022.
[Paper] [Code]

Zechao Li, Yanpeng Sun, Liyan Zhang, Jinhui Tang, "CTNet: Context-based Tandem Network for Semantic Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
[Paper] [Code]

Zechao Li, Jinhui Tang, Liyan Zhang, Jian Yang. "Weakly-supervised Semantic Guided Hashing for Social Image Retrieval.", International Journal of Computer Vision (IJCV), 2020.
[Paper] [Code]

Lu Jin, Zechao Li*, Yonghua Pan, Jinhui Tang. "Weakly-Supervised Image Hashing through Masked Visual-Semantic Graph-based Reasoning.", Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020.
[Paper] [Code]

Hao Tang, Zechao Li, Zhimao Peng, Jinhui Tang. "BlockMix: meta regularization and self-calibrated inference for metric-based meta-learning.", Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020.
[Paper] [Code]

Jinhui Tang, Xiangbo Shu, Zechao Li, Yu-Gang Jiang, Qi Tian. "Social anchor-unit graph regularized tensor completion for large-scale image retagging.", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.
[Paper] [Code]

Zechao Li, Jinhui Tang, Tao Mei. "Deep Collaborative Embedding for Social Image Understanding.", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.
[Paper] [Code]

Zhimao Peng, Zechao Li*, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang. "Few-shot image recognition with knowledge transfer.", Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019.
[Paper] [Code]

Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li*. "Facial emotion distribution learning by exploiting low-rank label correlations locally.", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[Paper] [Code]

Xiangbo Shu, Jinhui Tang, Zechao Li, Hanjiang Lai, Liyan Zhang, Shuicheng Yan. "Personalized Age Progression with Bi-level Aging Dictionary Learning.", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018.
[Paper] [Code]

Zechao Li, Jinhui Tang, Xiaofei He. "Robust Structured Nonnegative Matrix Factorization for Image Representation.", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.
[Paper] [Code]

Jinhui Tang, Jie Lin, Zechao Li*, Jian Yang. "Discriminative deep quantization hashing for face image retrieval.", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.
[Paper] [Code]

Runde Li, Jinshan Pan, Zechao Li, Jinhui Tang. "Single Image Dehazing via Conditional Generative Adversarial Network.", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Paper] [Code]

Rui Yan, Jinhui Tang, Xiangbo Shu, Zechao Li, Qi Tian. "Participation-contributed temporal dynamic model for group activity recognition.", Proceedings of the 26th ACM international conference on Multimedia (ACM MM), 2018.
[Paper] [Code]

Jing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei. "Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training.", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2018.
[Paper] [Code]

Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, Ramesh Jain. "Tri-clustered Tensor Completion for Social-aware Image Tag Refinement.", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2017.
[Paper] [Code]

Zechao Li, Jinhui Tang. "Weakly-supervised Deep Matrix Factorization for Social Image Understanding.", IEEE Transactions on Image Processing (TIP), 2017.
[Paper] [Code]

Zechao Li, Jinhui Tang. "Weakly-supervised deep nonnegative low-rank model for social image tag refinement and assignment.", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2017.
[Paper] [Code]

Longquan Dai, Mengke Yuan, Zechao Li, Xiaopeng Zhang, Jinhui Tang. "Hardware-efficient guided image filtering for multi-label problem.", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[Paper] [Code]

Jie Lin, Zechao Li, Jinhui Tang. "Discriminative Deep Hashing for Scalable Face Image Retrieval.", International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[Paper] [Code]

Xiaoyu Du, Jinhui Tang, Zechao Li, Zhiguang Qin. "Wheel: Accelerating cnns with distributed gpus via hybrid parallelism and alternate strategy.", Proceedings of the 25th ACM international conference on Multimedia (ACM MM), 2017.
[Paper] [Code]

Zechao Li, Jing Liu, Jinhui Tang, Hanqing Lu. "Robust Structured Subspace Learning for Data Representation.", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2015.
[Paper] [Code]

Jinhui Tang, Zechao Li*, Meng Wang, RuiZhen Zhao. "Neighborhood Discriminant Hashing for Large-Scale Image Retrieval.", IEEE Transactions on Image Processing (TIP), 2015.
[Paper] [Code]

Zechao Li, Jinhui Tang. "Unsupervised Feature Selection Via Nonnegative Spectral Analysis and Redundancy Control.", IEEE Transactions on Image Processing (TIP), 2015.
[Paper] [Code]

Zechao Li, Jinhui Tang. "Weakly Supervised Deep Metric Learning for Community-Contributed Image Retrieval.", IEEE Transactions on Multimedia (TMM), 2015.
[Paper] [Code]

Jing Liu, Yu Jiang, Zechao Li, Zhi-Hua Zhou, Hanqing Lu. "Partially Shared Latent Factor Learning With Multiview Data.", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015.
[Paper] [Code]

Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou, Hanqing Lu. "Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection.", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
[Paper] [Code]

Jing Liu, Zechao Li, Jinhui Tang, Yu Jiang, Hanqing Lu. "Personalized Geo-specific Tag Recommendation for Photos on Social Websites.", IEEE Transactions on Multimedia (TMM), 2014.
[Paper] [Code]

Yang Liu, Jing Liu, Zechao Li, Jinhui Tang, Hanqing Lu. "Weakly-supervised Dual Clustering for Image Semantic Segmentation.", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
[Paper] [Code]

Zechao Li, Yi Yang, Jing Liu, Xiaofang Zhou, Hanqing Lu. "Unsupervised Feature Selection Using Nonnegative Spectral Analysis.", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2012.
[Paper] [Code]

Zechao Li, Meng Wang, Jing Liu, Changsheng Xu, Hanqing Lu. "News Contextualization with Geographic and Visual Information.", Proceedings of the 19th ACM international conference on Multimedia (ACM MM), 2011.
[Paper] [Code]