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Honghao Li
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2020 – today
- 2024
- [i7]Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang:
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation. CoRR abs/2405.03167 (2024) - [i6]Wenjie Chen, Yi Zhang, Honghao Li, Lei Sang, Yiwen Zhang:
Dual-domain Collaborative Denoising for Social Recommendation. CoRR abs/2405.04942 (2024) - [i5]Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang:
DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction. CoRR abs/2407.13349 (2024) - 2023
- [j6]Min Zou, Honghao Li, Dongqing Su, Yuqiang Xiong, Haodong Wei, Shiyuan Wang, Hongmei Sun, Tao Wang, Qilemuge Xi, Yongchun Zuo
, Lei Yang
:
Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes. Briefings Bioinform. 25(1) (2023) - [j5]Dongqing Su, Yuqiang Xiong, Shiyuan Wang, Haodong Wei, Jiawei Ke, Honghao Li, Tao Wang, Yongchun Zuo, Lei Yang:
Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles. Comput. Methods Programs Biomed. 242: 107808 (2023) - [j4]Yanrui Zhai, Xiran Zhou
, Honghao Li:
Model and Data Integrated Transfer Learning for Unstructured Map Text Detection. ISPRS Int. J. Geo Inf. 12(3): 106 (2023) - [j3]Honghao Li, Xiran Zhou
, Zhigang Yan:
mapSR: A Deep Neural Network for Super-Resolution of Raster Map. ISPRS Int. J. Geo Inf. 12(7): 258 (2023) - [c4]Honghao Li, Tianyao Huang, Yu Zhang, Yimin Liu, Yonina C. Eldar:
Joint Radar and Communication Receiver Processing Based on Sparse Bayesian Learning. ICASSP Workshops 2023: 1-5 - [i4]Marcel da Câmara Ribeiro-Dantas, Honghao Li, Vincent Cabeli, Louise Dupuis, Franck Simon, Liza Hettal, Anne-Sophie Hamy, Hervé Isambert:
Learning interpretable causal networks from very large datasets, application to 400, 000 medical records of breast cancer patients. CoRR abs/2303.06423 (2023) - [i3]Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux:
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. CoRR abs/2311.16984 (2023) - [i2]Xiran Zhou, Yi Wen, Honghao Li, Kaiyuan Li, Zhenfeng Shao, Zhigang Yan, Xiao Xie:
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence. CoRR abs/2312.08600 (2023) - [i1]Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang
, Yiwen Zhang:
CETN: Contrast-enhanced Through Network for CTR Prediction. CoRR abs/2312.09715 (2023) - 2021
- [j2]Jianmin Fu, Honghao Li, Yajuan Chi, Jia Zhen, Xiangfeng Xu:
nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure. Reliab. Eng. Syst. Saf. 210: 107518 (2021) - 2020
- [c3]Chenxin Wen, Hui Zhang, Honghao Li, Hongwen Li, Jinhai Chen, Hangge Guo, Shihui Cheng:
Multi-scene citrus detection based on multi-task deep learning network. SMC 2020: 912-919 - [c2]Honghao Li, Hui Zhang, Li Liu, Hang Zhong, Yaonan Wang, Q. M. Jonathan Wu:
Integrating Deformable Convolution and Pyramid Network in Cascade R-CNN for Fabric Defect Detection. SMC 2020: 3029-3036
2010 – 2019
- 2019
- [j1]Trung Dac Nguyen
, Honghao Li, Debarshee Bagchi, Francisco J. Solis, Monica Olvera de la Cruz
:
Incorporating surface polarization effects into large-scale coarse-grained Molecular Dynamics simulation. Comput. Phys. Commun. 241: 80-91 (2019) - [c1]Honghao Li, Vincent Cabeli, Nadir Sella, Hervé Isambert:
Constraint-based Causal Structure Learning with Consistent Separating Sets. NeurIPS 2019: 14257-14266
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last updated on 2024-08-23 19:23 CEST by the dblp team
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