Honghao Li

According to our database, Honghao Li authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards similar alignment and unique uniformity in collaborative filtering.

Lei Sang, Yu Zhang, Yi Zhang, Honghao Li, Yiwen Zhang

Expert Syst. Appl., 2025

2024

Large Language Model Aided QoS Prediction for Service Recommendation.

Huiying Liu, Zekun Zhang, Honghao Li, Qilin Wu, Yiwen Zhang

CoRR, 2024

DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction.

Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang

CoRR, 2024

Dual-domain Collaborative Denoising for Social Recommendation.

Wenjie Chen, Yi Zhang, Honghao Li, Lei Sang, Yiwen Zhang

CoRR, 2024

TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation.

Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang

CoRR, 2024

SimCEN: Simple Contrast-enhanced Network for CTR Prediction.

Honghao Li, Lei Sang, Yi Zhang, Yiwen Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles.

Dongqing Su, Yuqiang Xiong, Shiyuan Wang, Haodong Wei, Jiawei Ke, Honghao Li, Tao Wang, Yongchun Zuo, Lei Yang

Comput. Methods Programs Biomed., December, 2023

Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes.

Min Zou, Honghao Li, Dongqing Su, Yuqiang Xiong, Haodong Wei, Shiyuan Wang, Hongmei Sun, Tao Wang, Qilemuge Xi, Yongchun Zuo, Lei Yang

Briefings Bioinform., November, 2023

mapSR: A Deep Neural Network for Super-Resolution of Raster Map.

Honghao Li, Xiran Zhou, Zhigang Yan

ISPRS Int. J. Geo Inf., June, 2023

Model and Data Integrated Transfer Learning for Unstructured Map Text Detection.

Yanrui Zhai, Xiran Zhou, Honghao Li

ISPRS Int. J. Geo Inf., 2023

CETN: Contrast-enhanced Through Network for CTR Prediction.

Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang

CoRR, 2023

CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence.

Xiran Zhou, Yi Wen, Honghao Li, Kaiyuan Li, Zhenfeng Shao, Zhigang Yan, Xiao Xie

CoRR, 2023

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings.

Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux

CoRR, 2023

Learning interpretable causal networks from very large datasets, application to 400, 000 medical records of breast cancer patients.

Marcel da Câmara Ribeiro-Dantas, Honghao Li, Vincent Cabeli, Louise Dupuis, Franck Simon, Liza Hettal, Anne-Sophie Hamy, Hervé Isambert

CoRR, 2023

Joint Radar and Communication Receiver Processing Based on Sparse Bayesian Learning.

Honghao Li, Tianyao Huang, Yu Zhang, Yimin Liu, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure.

Jianmin Fu, Honghao Li, Yajuan Chi, Jia Zhen, Xiangfeng Xu

Reliab. Eng. Syst. Saf., 2021

2020

Multi-scene citrus detection based on multi-task deep learning network.

Chenxin Wen, Hui Zhang, Honghao Li, Hongwen Li, Jinhai Chen, Hangge Guo, Shihui Cheng

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Integrating Deformable Convolution and Pyramid Network in Cascade R-CNN for Fabric Defect Detection.

Honghao Li, Hui Zhang, Li Liu, Hang Zhong, Yaonan Wang, Q. M. Jonathan Wu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Incorporating surface polarization effects into large-scale coarse-grained Molecular Dynamics simulation.

Trung Dac Nguyen, Honghao Li, Debarshee Bagchi, Francisco J. Solis, Monica Olvera de la Cruz

Comput. Phys. Commun., 2019

Constraint-based Causal Structure Learning with Consistent Separating Sets.

Honghao Li, Vincent Cabeli, Nadir Sella, Hervé Isambert

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019