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Jie Song
Software Technology
Zhejiang University
Zhejiang
Language: Chinese, English
Contact
Deep Learning Neural Networks Image Processing Machine Learning Pattern Recognition Data Analysis Algorithm Development Model Optimization Computer Vision Artificial Intelligence
Areas of Focus
  • Computer Vision
  • Artificial Intelligence
Academic Background & Achievements
  • 2015 - Bachelor of Engineering in Computer Science and Technology, Sichuan University
  • 2020 - PhD in Computer Science and Technology, Zhejiang University
Publications
  • Training-free Pretrained Model Merging, Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song*, 2024
  • On the Concept Trustworthiness in Concept Bottleneck Models, Qihan Huang, Jie Song*, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song, 2024
  • Lookaround Optimizer: k steps around, 1 step average, Jiangtao Zhang, Shunyu Liu, Jie Song*, Tongtian Zhu, Zhengqi Xu, Mingli Song, 2023
  • Recent advances in deep learning for retrosynthesis, Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Tingjun Hou*, Mingli Song*, 2023
  • Constituent Attention for Vision Transformers, Haoling Li, Mengqi Xue, Jie Song*, Haofei Zhang, Wenqi Huang, Liangyu Liang, Mingli Song, 2023
  • A Survey of Deep Learning for Low-Shot Object Detection, Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song*, 2023
  • ModelGiF: Gradient Fields for Model Functional Distance, Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song, 2023
  • Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks, Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song*, Yongcheng Jing, Mingli Song, 2023
  • Ask-AC: An Initiative Advisor-in-the-loop Actor Critic Framework, Shunyu Liu, Kaixuan Chen, Na Yu, Jie Song, Zunlei Feng, Mingli Song, 2023
  • Knowledge Amalgamation for Object Detection with Transformers, Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song, 2023
  • Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation, Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, 2023
  • Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation, Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song*, Mingli Song, 2023
  • Schema Inference for Interpretable Image Classification, Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song*, Mingli Song, 2023
  • 基于深度学习的3D分子生成模型研究进展, 姚少伦, 宋杰*, 冯尊磊, 贾凌翔, 钟子鹏, 宋明黎, 2023
  • Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition, Shunyu Liu, Yihe Zhou, Jie Song*, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song, 2023
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