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Haochao Ying
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2020 – today
- 2024
- [j20]Qibo Qiu, Wenxiao Wang, Haochao Ying, Dingkun Liang, Haiming Gao, Xiaofei He:
SelFLoc: Selective feature fusion for large-scale point cloud-based place recognition. Knowl. Based Syst. 295: 111794 (2024) - [j19]Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [j18]Jinhong Wang, Zhe Xu, Wenhao Zheng, Haochao Ying, Tingting Chen, Zuozhu Liu, Danny Z. Chen, Ke Yao, Jian Wu:
A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading. IEEE Trans. Medical Imaging 43(3): 1089-1101 (2024) - [c24]Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin:
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning. AAAI 2024: 11516-11524 - [c23]Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong:
Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Prediction. DASFAA (7) 2024: 232-242 - [c22]Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong:
Hierarchical Structure-Aware Graph Prompting for Drug-Drug Interaction Prediction. ECML/PKDD (8) 2024: 36-54 - [i16]Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin:
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning. CoRR abs/2402.02334 (2024) - [i15]Jinhong Wang, Tingting Chen, Jintai Chen, Yixuan Wu, Yuyang Xu, Danny Chen, Haochao Ying, Jian Wu:
PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis. CoRR abs/2403.19124 (2024) - [i14]Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu:
Personalized Heart Disease Detection via ECG Digital Twin Generation. CoRR abs/2404.11171 (2024) - [i13]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - 2023
- [j17]Xiao Zhang, Qilin Wang, Ziming Ye, Haochao Ying, Dongxiao Yu:
Federated Representation Learning With Data Heterogeneity for Human Mobility Prediction. IEEE Trans. Intell. Transp. Syst. 24(6): 6111-6122 (2023) - [j16]Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong:
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7557-7568 (2023) - [j15]Jiehui Zhou, Xumeng Wang, Jason K. Wong, Huanliang Wang, Zhongwei Wang, Xiaoyu Yang, Xiaoran Yan, Haozhe Feng, Huamin Qu, Haochao Ying, Wei Chen:
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy. IEEE Trans. Vis. Comput. Graph. 29(1): 809-819 (2023) - [j14]Jiehui Zhou, Xumeng Wang, Jie Wang, Hui Ye, Huanliang Wang, Zihan Zhou, Dongming Han, Haochao Ying, Jian Wu, Wei Chen:
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance. IEEE Trans. Vis. Comput. Graph. 29(6): 2849-2861 (2023) - [c21]Mingyi Li, Xiao Zhang, Haochao Ying, Yang Li, Xu Han, Dongxiao Yu:
Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes. ICDM 2023: 1103-1108 - [c20]Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu:
Robust Image Ordinal Regression with Controllable Image Generation. IJCAI 2023: 627-635 - [c19]Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu:
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. MICCAI (6) 2023: 421-432 - [c18]Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu:
Robust Training of Graph Neural Networks via Noise Governance. WSDM 2023: 607-615 - [i12]Jiehui Zhou, Xumeng Wang, Jie Wang, Hui Ye, Huanliang Wang, Zihan Zhou, Dongming Han, Haochao Ying, Jian Wu, Wei Chen:
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance. CoRR abs/2303.13491 (2023) - [i11]Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Ziyi Chen, Jian Wu:
Robust Image Ordinal Regression with Controllable Image Generation. CoRR abs/2305.04213 (2023) - [i10]Qibo Qiu, Honghui Yang, Wenxiao Wang, Shun Zhang, Haiming Gao, Haochao Ying, Wei Hua, Xiaofei He:
M3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders. CoRR abs/2309.13235 (2023) - [i9]Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu:
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. CoRR abs/2311.13234 (2023) - [i8]Qian Shao, Ye Dai, Haochao Ying, Kan Xu, Jinhong Wang, Wei Chi, Jian Wu:
Jointly Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis. CoRR abs/2312.06171 (2023) - 2022
- [j13]Shichao Quan, Hui Chen, Liaoyi Lin, Zeren Shi, Haochao Ying, Changzheng Yuan, Ping Wang, Shiyuan Liu, Li Fan:
Automatic CT whole-lung segmentation in radiomics discrimination: Methodology and application in pneumonia diagnosis and distinguishment. Displays 71: 102144 (2022) - [j12]Tingting Chen, Xuechen Liu, Ruiwei Feng, Wenzhe Wang, Chunnv Yuan, Weiguo Lu, Haizhen He, Honghao Gao, Haochao Ying, Danny Z. Chen, Jian Wu:
Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation. IEEE J. Biomed. Health Informatics 26(4): 1411-1421 (2022) - [j11]Tingting Liang, Manman Chen, Yuyu Yin, Li Zhou, Haochao Ying:
Recurrent Neural Network Based Collaborative Filtering for QoS Prediction in IoV. IEEE Trans. Intell. Transp. Syst. 23(3): 2400-2410 (2022) - [j10]Tingting Chen, Wenhao Zheng, Haochao Ying, Xiangyu Tan, Kexin Li, Xiaoping Li, Danny Z. Chen, Jian Wu:
A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection. IEEE Trans. Medical Imaging 41(9): 2432-2442 (2022) - [c17]Hanzhe Li, Jingjing Gu, Haochao Ying, Xinjiang Lu, Jingyuan Yang:
User Multi-behavior Enhanced POI Recommendation with Efficient and Informative Negative Sampling. APWeb/WAIM (3) 2022: 149-165 - [c16]Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Z. Chen, Jian Wu:
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction. BIBM 2022: 835-839 - [c15]Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang:
Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. ICASSP 2022: 8332-8336 - [c14]Jintai Chen, Kuanlun Liao, Kun Wei, Haochao Ying, Danny Z. Chen, Jian Wu:
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases. ICML 2022: 3360-3370 - [i7]Jintai Chen, Kuanlun Liao, Kun Wei, Haochao Ying, Danny Z. Chen, Jian Wu:
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases. CoRR abs/2207.10670 (2022) - [i6]Jiehui Zhou, Xumeng Wang, Jason K. Wong, Huanliang Wang, Zhongwei Wang, Xiaoyu Yang, Xiaoran Yan, Haozhe Feng, Huamin Qu, Haochao Ying, Wei Chen:
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy. CoRR abs/2208.13418 (2022) - [i5]Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu:
Robust Training of Graph Neural Networks via Noise Governance. CoRR abs/2211.06614 (2022) - [i4]Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Z. Chen, Jian Wu:
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction. CoRR abs/2212.05794 (2022) - 2021
- [j9]Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z. Chen, Jian Wu:
A semi-supervised deep convolutional framework for signet ring cell detection. Neurocomputing 453: 347-356 (2021) - [j8]Zheng Cao, Bohan Yu, Biwen Lei, Haochao Ying, Xiao Zhang, Danny Z. Chen, Jian Wu:
Cascaded SE-ResUnet for segmentation of thoracic organs at risk. Neurocomputing 453: 357-368 (2021) - [j7]Jintai Chen, Haochao Ying, Xuechen Liu, Jingjing Gu, Ruiwei Feng, Tingting Chen, Honghao Gao, Jian Wu:
A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 103-113 (2021) - [c13]Zheng Cao, Cailin Mu, Haochao Ying, Jian Wu:
Full Scale Attention for Automated COVID-19 Diagnosis from CT Images. EMBC 2021: 3213-3216 - [i3]Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong:
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. CoRR abs/2101.02969 (2021) - [i2]Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying:
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework. CoRR abs/2105.08643 (2021) - 2020
- [j6]Jingjing Gu, Cheng Liu, Yi Zhuang, Xiaojiang Du, Fuzhen Zhuang, Haochao Ying, Yanchao Zhao, Mohsen Guizani:
Dynamic Measurement and Data Calibration for Aerial Mobile IoT. IEEE Internet Things J. 7(6): 5210-5219 (2020) - [j5]Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, Sanglu Lu:
Emotion Detection in Online Social Networks: A Multilabel Learning Approach. IEEE Internet Things J. 7(9): 8133-8143 (2020) - [j4]Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong:
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35(2): 305-319 (2020) - [j3]Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu:
CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. 62(8): 3291-3319 (2020) - [c12]Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu:
A Hierarchical Graph Network for 3D Object Detection on Point Clouds. CVPR 2020: 389-398 - [c11]Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong:
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. SIGIR 2020: 781-790 - [c10]Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong:
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. WSDM 2020: 807-815
2010 – 2019
- 2019
- [j2]Tingting Chen, Jun Xu, Haochao Ying, Xiaojun Chen, Ruiwei Feng, Xueling Fang, Honghao Gao, Jian Wu:
Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine. IEEE Access 7: 150960-150968 (2019) - [j1]Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong:
Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web 22(5): 2209-2224 (2019) - [c9]Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu:
Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach. ACM Multimedia 2019: 1401-1409 - 2018
- [c8]Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018: 3926-3932 - [c7]Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu:
Improving automatic source code summarization via deep reinforcement learning. ASE 2018: 397-407 - [i1]Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu:
Improving Automatic Source Code Summarization via Deep Reinforcement Learning. CoRR abs/1811.07234 (2018) - 2016
- [c6]Haochao Ying, Liang Chen, Tingting Liang, Jian Wu:
EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub. CSI-SE@ICSE 2016: 29-35 - [c5]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) 2016: 555-567 - [c4]Liang Chen, Haochao Ying, Qibo Qiu, Jian Wu, Hai Dong, Athman Bouguettaya:
Temporal Pattern Based QoS Prediction. WISE (2) 2016: 223-237 - [c3]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. WWW (Companion Volume) 2016: 137-138 - 2015
- [c2]Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng, Jian Wu:
Crowdsourcing Based API Search via Leveraging Twitter Lists Information. ICDM Workshops 2015: 1540-1547 - 2014
- [c1]Tingting Liang, Liang Chen, Haochao Ying, Jian Wu:
Co-Clustering WSDL Documents to Bootstrap Service Discovery. SOCA 2014: 215-222
Coauthor Index
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last updated on 2024-09-13 00:45 CEST by the dblp team
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