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News
- One paper is accepted by TIP
- One paper is accepted by CVPR 2023
- One paper is accepted by ICLR 2023
- One paper is accepted by CVPR 2022
- One paper is accepted by ICO 2021
- One paper is accepted by IJCAI 2021
- One paper is accepted by ICCV 2019
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Publications
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Knowledge Amalgamation for Object Detection with Transformers
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Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
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Schema Inference for Interpretable Image Classification
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ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
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Meta-attention for ViT-backed Continual Learning
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Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training
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Tree-Like Branching Network for Multi-class Classification
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A Survey of Deep Learning for Low-Shot Object Detection
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KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
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Tree-like Decision Distillation
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Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
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Education
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2017 - 2022Ph.D., Zhejiang University(Hangzhou, China)Computer Science and Technology
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2013 - 2017B.S., Xidian University(Xian, China)Computer Science and Technology
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Experiences
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2019 - nowResearch Intern(Hangzhou, China)Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies
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Awards / Scholarship
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2021Best Paper Award, ICO, 2021
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2016National Scholarship, Ministry of Education of China, 2016