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Yanning Zhou
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Bio
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/experience/
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Experience
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/publication/zhou-2026-si0/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24">
<path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path>
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/publication/he-2024-stdgen/
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StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
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/publication/he-2024-stdgen/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/liu-2024-gains/
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GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation
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/publication/liu-2024-gains/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/jiang-2023-donet/
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Donet: Deep de-overlapping network for cytology instance segmentation
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/publication/jiang-2023-donet/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/jiang-2023-deep/
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Deep learning for computational cytology: A survey
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/publication/jiang-2023-deep/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
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/publication/luo-2022-rethinking/
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Rethinking annotation granularity for overcoming shortcuts in deep learning--based radiograph diagnosis: A multicenter study
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/publication/luo-2022-rethinking/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
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/publication/luo-2021-oxnet/
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Oxnet: Deep omni-supervised thoracic disease detection from chest x-rays
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/publication/luo-2021-oxnet/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/zhou-2021-c-3/
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C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing
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/publication/zhou-2021-c-3/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/zhou-2020-deep/
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Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
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/publication/zhou-2020-deep/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/2019-ar-xiv-190806623-z/
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IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
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/publication/2019-ar-xiv-190806623-z/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
Cite
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/publication/zhou-2019-cia/
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CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
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/publication/zhou-2019-cia/cite.bib
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<svg style="height:1em" class="inline-block" viewbox="0 0 24 24"><path fill="none" stroke="currentcolor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M15.75 17.25v3.375c0 .621-.504 1.125-1.125 1.125h-9.75A1.125 1.125.0 013.75 20.625V7.875c0-.621.504-1.125 1.125-1.125H6.75a9.06 9.06.0 011.5.124m7.5 10.376h3.375c.621.0 1.125-.504 1.125-1.125V11.25c0-4.46-3.243-8.161-7.5-8.876a9.06 9.06.0 00-1.5-.124H9.375c-.621.0-1.125.504-1.125 1.125v3.5m7.5 10.375H9.375A1.125 1.125.0 018.25 16.125v-9.25m12 6.625v-1.875A3.375 3.375.0 0016.875 8.25h-1.5A1.125 1.125.0 0114.25 7.125v-1.5A3.375 3.375.0 0010.875 2.25H9.75"></path></svg>
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/publication/page/2/
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