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Haochao Ying
haochaoying@zju.edu.cn
Chinese, English
Zhejiang
Zhejiang University
Medical
  • 2019 - PhD in Computer Science and Technology: Zhejiang University
  • Assistant Director of Ruiyi Laboratory
  • Recipient of Zhejiang Province Youth Talent Support Project
  • 2022 - Second Prize of Science and Technology Progress Award by China Electronics Society
  • 2021 - Excellent Award of Science and Technology Progress Award by CCF
Health Medical Big Data Mining
Multimodal Analysis
Medical Intelligence
  • Arithmetic Feature Interaction is Necessary for Deep Tabular Learning, Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin, 2024
  • Robust Image Ordinal Regression with Controllable Image Generation, Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Chen, Jian Wu, 2023
  • Robust Training of Graph Neural Networks via Noise Governance, Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z Chen, Jian Wu, 2023
  • ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases, Jintai Chen, Kuanlun Liao, Kun Wei, Haochao Ying, Danny Z. Chen, Jian Wu, 2022
  • CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction, Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Chen, Jian Wu, 2022
  • Spatial object recommendation with hints: When spatial granularity matters, Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong, 2020
  • A Hierarchical Graph Network for 3D Object Detection on Point Clouds, Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu, 2020
  • A Progressively-Passing-then-Disentangling Approach to Recipe Recommendation, Chunlai Dong, Haochao Ying, Renjun Hu, Yuyang Xu, Jintai Chen, Fuzhen Zhuang, Jian Wu, 2024
  • FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance, Jiehui Zhou, Xumeng Wang, Jie Wang, Hui Ye, Huanliang Wang, Zihan Zhou, Dongming Han, Haochao Ying, Jian Wu, Wei Chen, 2023
  • Prediction of postoperative visual acuity in patients with age-related cataracts using macular optical coherence tomography-based deep learning method, Jingwen Wang, Jinhong Wang, Dan Chen, Xingdi Wu, Zhe Xu, Xuewen Yu, Siting Sheng, Xueqi Lin, Xiang Chen, Jian Wu, Haochao Ying, Wen Xu, 2023
  • Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction, Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong, 2022
  • A task decomposing and cell comparing method for cervical lesion cell detection, Tingting Chen, Wenhao Zheng, Haochao Ying, Xiangyu Tan, Kexin Li, Xiaoping Li, Danny Z Chen, Jian Wu, 2022
  • Discriminative cervical lesion detection in colposcopic images with global class activation and local bin excitation, Tingting Chen, Xuechen Liu, Ruiwei Feng, Wenzhe Wang, Chunnv Yuan, Weiguo Lu, Haizhen He, Honghao Gao, Haochao Ying, Danny Z Chen, Jian Wu, 2022
  • A Semi-supervised Deep Convolutional Framework for Signet Ring Cell Detection, Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z.Chen, Jian Wu, 2021
  • Cascaded SE-ResUnet for Segmentation of Thoracic Organs at Risk, Zheng Cao, Bohan Yu, Biwen Lei, Haochao Ying, Xiao Zhang, Danny Z Chen, Jian Wu, 2021
  • A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective, Jintai Chen, Haochao Ying, Xuechen Liu, Jingjing Gu, Ruiwei Feng, Tingting Chen, Honghao Gao, Jian Wu, 2020
Big Data Health Medical Data Mining Multimodal Analysis Medical Imaging Artificial Intelligence Data Fusion Clinical Risk Prediction

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