Hao Li

23 papers A* 2A 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization.
Int. J. Comput. Vis.
Hao Li, Yubin Xiao, Ke Liang, Mengzhu Wang, Long Lan, Kenli Li, Xinwang Liu
2026 J jnl
Object style diffusion for generalized object detection in urban scene.
Pattern Recognit.
Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li
2025 J jnl
From Concrete to Abstract: Multi-View Clustering on Relational Knowledge.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, Huaimin Wang
2025 J jnl
Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization.
CoRR
Hao Li, Yubin Xiao, Ke Liang, Mengzhu Wang, Long Lan, Kenli Li, Xinwang Liu
2025 J jnl
MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion.
IEEE Trans. Multim.
Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He
2025 A* conf
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture.
IJCAI
Huibin Tan, Mingyu Cao, Kun Hu, Xihuai He, Zhe Wang, Hao Li, Long Lan, Mengzhu Wang
2024 J jnl
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.
J. Chem. Inf. Model.
Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao
2024 A* conf
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding.
NeurIPS
Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
2024 J jnl
Object Style Diffusion for Generalized Object Detection in Urban Scene.
CoRR
Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li
2024 J jnl
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection.
CoRR
Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao
2022 J jnl
An Online and Scalable Model for Generalized Sparse Nonnegative Matrix Factorization in Industrial Applications on Multi-GPU.
IEEE Trans. Ind. Informatics
Hao Li, Kenli Li, Jiyao An, Keqin Li
2022 J jnl
Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G.
IEEE Trans. Ind. Informatics
Jin Wang, Hui Han, Hao Li, Shiming He, Pradip Kumar Sharma, Lydia Y. Chen
2021 J jnl
Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis.
Trans. Data Sci.
Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Yiyu Chen, Keqin Li
2021 J jnl
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis.
CoRR
Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Y. Chen, Keqin Li
2021 J jnl
SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition.
IEEE Trans. Parallel Distributed Syst.
Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li
2020 J jnl
An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU.
Neurocomputing
Linlin Zhuo, Kenli Li, Hao Li, Jiwu Peng, Keqin Li
2020 J jnl
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition.
CoRR
Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li
2019 J jnl
An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs.
Inf. Sci.
Hao Li, Keqin Li, Jiyao An, Weihua Zheng, Kenli Li
2019 J jnl
HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy.
IEEE Access
Linlin Zhuo, Kenli Li, Bo Liao, Hao Li, Xiaohui Wei, Keqin Li
2018 A conf
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU.
CIKM
Hao Li, Kenli Li, Ji-yao An, Keqin Li
2018 J jnl
MSGD: A Novel Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on GPUs.
IEEE Trans. Parallel Distributed Syst.
Hao Li, Kenli Li, Ji-yao An, Keqin Li
2017 — conf
An Efficient Parallelization Approach for Large-Scale Sparse Non-Negative Matrix Factorization Using Kullback-Leibler Divergence on Multi-GPU.
ISPA/IUCC
Hao Li, Kenli Li, Jiwu Peng, Junyan Hu, Keqin Li
2017 — conf
CuSNMF: A Sparse Non-Negative Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on Multi-GPU.
ISPA/IUCC
Hao Li, Kenli Li, Jiwu Peng, Keqin Li