Honghao Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Molecular Dynamics

Causal Structure

Sparse Bayesian Learning

Top Venues

ISPRS Int. J. Geo Inf.

ICASSP Workshops

Publications

Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation. CoRR (2024)
Wenjie Chen, Yi Zhang, Honghao Li, Lei Sang, Yiwen Zhang
Dual-domain Collaborative Denoising for Social Recommendation. CoRR (2024)
Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang
DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction. CoRR (2024)
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 (2023)
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 (2023)
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 (2023)
Yanrui Zhai, Xiran Zhou, Honghao Li
Model and Data Integrated Transfer Learning for Unstructured Map Text Detection. ISPRS Int. J. Geo Inf. 12 (3) (2023)
Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang
CETN: Contrast-enhanced Through Network for CTR Prediction. CoRR (2023)
Honghao Li, Xiran Zhou, Zhigang Yan
mapSR: A Deep Neural Network for Super-Resolution of Raster Map. ISPRS Int. J. Geo Inf. 12 (7) (2023)
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)
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)
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 (2023)
Jianmin Fu, Honghao Li, Yajuan Chi, Jia Zhen, Xiangfeng Xu
nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure. Reliab. Eng. Syst. Saf. 210 (2021)
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)
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)
Honghao Li, Vincent Cabeli, Nadir Sella, Hervé Isambert
Constraint-based Causal Structure Learning with Consistent Separating Sets. NeurIPS (2019)
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 (2019)