Publications by authors named "Quanming Yao"

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Robust heterogeneous network representation learning by multifaceted curriculum training.
Zhen Hao Wong, Hansi Yang, Quanming Yao, Yaqing Wang

Neural Netw· December 2025

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Slack Federated Adversarial Training.
Jianing Zhu, Bo Han, Jiangchao Yao, Quanming Yao, Tongliang Liu

IEEE Trans Pattern Anal Mach Intell· December 2025

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Benchmarking drug-drug interaction prediction methods: a perspective of distribution changes.
Zhenqian Shen, Mingyang Zhou, Yongqi Zhang, Quanming Yao

Bioinformatics· November 2025

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KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent.
Xiaohan Zheng, Lanning Wei, Huan Zhao, Quanming Yao

Neural Netw· November 2025

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Using samples with label noise for robust continual learning.
Hongyi Nie, Shiqi Fan, Yang Liu, Quanming Yao, Zhen Wang

Neural Netw· August 2025

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Flow to Candidate: Temporal Knowledge Graph Reasoning With Candidate-Oriented Relational Graph.
Shiqi Fan, Guoxi Fan, Hongyi Nie, Quanming Yao, Yang Liu

IEEE Trans Neural Netw Learn Syst· April 2025

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Searching to extrapolate embedding for out-of-graph node representation learning.
Zhenqian Shen, Shuhan Guo, Yan Wen, Lanning Wei, Wengang Zhang, Quanming Yao

Neural Netw· April 2025

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Searching to Exploit Memorization Effect in Deep Learning With Noisy Labels.
Hansi Yang, Quanming Yao, Bo Han, James T Kwok

IEEE Trans Pattern Anal Mach Intell· December 2024

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Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI.
Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu

IEEE/ACM Trans Comput Biol Bioinform· August 2024

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Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou

IEEE Trans Pattern Anal Mach Intell· August 2024

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Hamiltonian diversity: effectively measuring molecular diversity by shortest Hamiltonian circuits.
Xiuyuan Hu, Guoqing Liu, Quanming Yao, Yang Zhao, Hao Zhang

J Cheminform· August 2024

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Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning.
Yaqing Wang, Zaifei Yang, Quanming Yao

Commun Med (Lond)· March 2024

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Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang

Nat Comput Sci· December 2023

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Searching a High Performance Feature Extractor for Text Recognition Network.
Hui Zhang, Quanming Yao, James T Kwok, Xiang Bai

IEEE Trans Pattern Anal Mach Intell· May 2023

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Bilinear Scoring Function Search for Knowledge Graph Learning.
Yongqi Zhang, Quanming Yao, James T Kwok

IEEE Trans Pattern Anal Mach Intell· February 2023

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Efficient Low-Rank Semidefinite Programming With Robust Loss Functions.
Quanming Yao, Hansi Yang, En-Liang Hu, James T Kwok

IEEE Trans Pattern Anal Mach Intell· October 2022

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C
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform.
Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao

Patterns (N Y)· July 2022

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Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020.
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao

Front Artif Intell· June 2022

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Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration.
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao

IEEE Trans Pattern Anal Mach Intell· April 2022

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Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.
Quanming Yao, James T Kwok, Taifeng Wang, Tie-Yan Liu

IEEE Trans Pattern Anal Mach Intell· November 2019

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Scalable Online Convolutional Sparse Coding.
Yaqing Wang, Quanming Yao, James T Kwok, Lionel M Ni

IEEE Trans Image Process· October 2018

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