Quanming Yao

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 179

Top Venues

Publications

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. CoRR (2024)
Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment. CoRR (2024)
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. ICLR (2024)
Zhen Hao Wong, Hansi Yang, Xiaoyi Fu, Quanming Yao
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks. CoRR (2024)
Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. CoRR (2024)
Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao
Neural Architecture Search for GNN-Based Graph Classification. ACM Trans. Inf. Syst. 42 (1) (2024)
Quanming Yao
Towards Human-like Learning from Relational Structured Data. AAAI (2024)
Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. AAAI (2024)
Xiuyuan Hu, Guoqing Liu, Quanming Yao, Yang Zhao, Hao Zhang
Hamiltonian diversity: effectively measuring molecular diversity by shortest Hamiltonian circuits. J. Cheminformatics 16 (1) (2024)
Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. KDD (2024)
Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR (2024)
Haiquan Qiu, Yatao Bian, Quanming Yao
Graph Unitary Message Passing. CoRR (2024)
Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. ICDE (2024)
Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. CoRR (2024)
Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. CoRR (2024)
Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
Understanding Expressivity of GNN in Rule Learning. ICLR (2024)
Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD (2024)
Lanning Wei, Jun Gao, Huan Zhao, Quanming Yao
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. CoRR (2024)
Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR (2024)
Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Y. Zomaya, Quanming Yao, Xiaoli Li
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Yongqi Zhang, Hui Zhang, Quanming Yao, Jun Wan
Combining Self-Supervised and Supervised Learning with Noisy Labels. ICIP (2023)
Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. CoRR (2023)
Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR (2023)
Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. CoRR (2023)
Shiguang Wu, Yaqing Wang, Quanming Yao
Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. CoRR (2023)
Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. ICLR (2023)
Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP (2023)
Hongzhi Shi, Quanming Yao, Yong Li
Learning to Simulate Crowd Trajectories with Graph Networks. WWW (2023)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS (2023)
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. CoRR (2023)
Lebin Yu, Yunbo Qiu, Quanming Yao, Xudong Zhang, Jian Wang
Improving Zero-Shot Coordination Performance Based on Policy Similarity. ICAPS (2023)
Xu Wang, Huan Zhao, Weiwei Tu, Quanming Yao
Automated 3D Pre-Training for Molecular Property Prediction. CoRR (2023)
Yongqi Zhang, Quanming Yao, James T. Kwok
Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yaqing Wang, Zaifei Yang, Quanming Yao
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning. CoRR (2023)
Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CIKM (2023)
Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai
Searching a High Performance Feature Extractor for Text Recognition Network. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Zhen Hao Wong, Ling Yue, Quanming Yao
Ensemble Learning for Graph Neural Networks. CoRR (2023)
Zhen Xu, Quanming Yao, Yong Li, Qiang Yang
Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR (2023)
Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WWW (2023)
Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning. CoRR (2023)
Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao
Automated 3D Pre-Training for Molecular Property Prediction. KDD (2023)
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. CoRR (2023)
Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao
Efficient Hyper-parameter Optimization with Cubic Regularization. NeurIPS (2023)
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. ICML (2023)
Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR (2023)
Lebin Yu, Yunbo Qiu, Quanming Yao, Xudong Zhang, Jian Wang
Improving Zero-Shot Coordination Performance Based on Policy Similarity. CoRR (2023)
Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. CoRR (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW (2023)
Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Relation-aware Ensemble Learning for Knowledge Graph Embedding. CoRR (2023)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR (2023)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. KDD (2023)
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. Nat. Comput. Sci. 3 (12) (2023)
Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok
Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CoRR (2023)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022)
Quanming Yao, Hansi Yang, En-Liang Hu, James T. Kwok
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
Learning Adaptive Propagation for Knowledge Graph Reasoning. CoRR (2022)
Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns 3 (7) (2022)
Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR (2022)
Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. CoRR (2022)
Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR (2022)
Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. CoRR (2022)
Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li
Search to Pass Messages for Temporal Knowledge Graph Completion. CoRR (2022)
Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao
Fast and Provable Nonconvex Tensor RPCA. ICML (2022)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR (2022)
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang
Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou
Simplified Graph Learning for Inductive Short Text Classification. EMNLP (2022)
Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li
Search to Pass Messages for Temporal Knowledge Graph Completion. EMNLP (Findings) (2022)
Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. 23 (2022)
Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai
Searching a High-Performance Feature Extractor for Text Recognition Network. CoRR (2022)
Hansi Yang, Yongqi Zhang, Quanming Yao
AutoWeird: Weird Translational Scoring Function Identified by Random Search. CoRR (2022)
Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration. ECCV (19) (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning. CoRR (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li
Efficient Hyper-parameter Search for Knowledge Graph Embedding. ACL (1) (2022)
Yongqi Zhang, Quanming Yao
Knowledge Graph Reasoning with Relational Digraph. WWW (2022)
Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS (2021)
Wei Zheng, Zhen Wang, Quanming Yao, Xuelong Li
WRTRe: Weighted relative position transformer for joint entity and relation extraction. Neurocomputing 459 (2021)
Hansi Yang, Quanming Yao, James T. Kwok
Tensorizing Subgraph Search in the Supernet. CoRR (2021)
Yongqi Zhang, Quanming Yao, Lei Chen
Simple and automated negative sampling for knowledge graph embedding. VLDB J. 30 (2) (2021)
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR (2021)
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR (2021)
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) (2021)
Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. CoRR (2021)
Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby
Guest Editorial: Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
Pooling Architecture Search for Graph Classification. CIKM (2021)
Huan Zhao, Quanming Yao, Wei-Wei Tu
Search to aggregate neighborhood for graph neural network. CoRR (2021)
Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. CoRR (2021)
Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Chen Gao, Quanming Yao, Depeng Jin, Yong Li
Efficient Data-specific Model Search for Collaborative Filtering. CoRR (2021)
Yongqi Zhang, Quanming Yao
Knowledge Graph Reasoning with Relational Directed Graph. CoRR (2021)
Yongqi Zhang, Zhanke Zhou, Quanming Yao
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding. CoRR (2021)
Fengli Xu, Quanming Yao, Pan Hui, Yong Li
Automorphic Equivalence-aware Graph Neural Network. NeurIPS (2021)
Yu Liu, Quanming Yao, Yong Li
Role-Aware Modeling for N-ary Relational Knowledge Bases. WWW (2021)
Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS (2021)
Yu Liu, Quanming Yao, Yong Li
Role-Aware Modeling for N-ary Relational Knowledge Bases. CoRR (2021)
Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
Pooling Architecture Search for Graph Classification. CoRR (2021)
Huan Zhao, Quanming Yao, Weiwei Tu
Search to aggregate neighborhood for graph neural network. ICDE (2021)
Yaqing Wang, Quanming Yao, James T. Kwok
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Quanming Yao