Quanming Yao

Orcid: 0000-0001-8944-8618

According to our database1, Quanming Yao authored at least 140 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Neural Architecture Search for GNN-Based Graph Classification.
ACM Trans. Inf. Syst., January, 2024

HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment.
CoRR, 2024

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction.
CoRR, 2024

Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph.
CoRR, 2024

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network.
CoRR, 2024

Graph Unitary Message Passing.
CoRR, 2024

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs.
CoRR, 2024

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks.
CoRR, 2024

Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models.
CoRR, 2024

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Human-like Learning from Relational Structured Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization.
ACM Trans. Knowl. Discov. Data, May, 2023

Searching a High Performance Feature Extractor for Text Recognition Network.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis.
IEEE Trans. Knowl. Data Eng., April, 2023

Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks.
Trans. Mach. Learn. Res., 2023

Bilinear Scoring Function Search for Knowledge Graph Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Nat. Comput. Sci., 2023

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense.
CoRR, 2023

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning.
CoRR, 2023

Combating Bilateral Edge Noise for Robust Link Prediction.
CoRR, 2023

Ensemble Learning for Graph Neural Networks.
CoRR, 2023

Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction.
CoRR, 2023

Unleashing the Power of Graph Learning through LLM-based Autonomous Agents.
CoRR, 2023

Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning.
CoRR, 2023

ColdNAS: Search to Modulate for User Cold-Start Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification.
Proceedings of the ACM Web Conference 2023, 2023

Learning to Simulate Crowd Trajectories with Graph Networks.
Proceedings of the ACM Web Conference 2023, 2023

Combating Bilateral Edge Noise for Robust Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Hyper-parameter Optimization with Cubic Regularization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Automated 3D Pre-Training for Molecular Property Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation.
Proceedings of the International Conference on Machine Learning, 2023

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Symbolic Models for Graph-structured Physical Mechanism.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Combining Self-Supervised and Supervised Learning with Noisy Labels.
Proceedings of the IEEE International Conference on Image Processing, 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Positive-Unlabeled Node Classification with Structure-aware Graph Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improving Zero-Shot Coordination Performance Based on Policy Similarity.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform.
Patterns, 2022

Efficient Low-Rank Semidefinite Programming With Robust Loss Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization.
J. Mach. Learn. Res., 2022

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020.
Frontiers Artif. Intell., 2022

Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach.
CoRR, 2022

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction.
CoRR, 2022

AutoWeird: Weird Translational Scoring Function Identified by Random Search.
CoRR, 2022

Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search.
CoRR, 2022

Learning Adaptive Propagation for Knowledge Graph Reasoning.
CoRR, 2022

KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning.
CoRR, 2022

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020.
CoRR, 2022

Knowledge Graph Reasoning with Relational Digraph.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fast and Provable Nonconvex Tensor RPCA.
Proceedings of the International Conference on Machine Learning, 2022

Simplified Graph Learning for Inductive Short Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Search to Pass Messages for Temporal Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Hyper-parameter Search for Knowledge Graph Embedding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Simple and automated negative sampling for knowledge graph embedding.
VLDB J., 2021

Side Information Fusion for Recommender Systems over Heterogeneous Information Network.
ACM Trans. Knowl. Discov. Data, 2021

Guest Editorial: Automated Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

WRTRe: Weighted relative position transformer for joint entity and relation extraction.
Neurocomputing, 2021

Generalizing from a Few Examples: A Survey on Few-shot Learning.
ACM Comput. Surv., 2021

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.
CoRR, 2021

Knowledge Graph Reasoning with Relational Directed Graph.
CoRR, 2021

AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding.
CoRR, 2021

Tensorizing Subgraph Search in the Supernet.
CoRR, 2021

A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Role-Aware Modeling for N-ary Relational Knowledge Bases.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Searching to Sparsify Tensor Decomposition for N-ary Relational Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Automorphic Equivalence-aware Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Progressive Feature Interaction Search for Deep Sparse Network.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Data-specific Model Search for Collaborative Filtering.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Search to aggregate neighborhood for graph neural network.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Pooling Architecture Search for Graph Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Decoupling Representation and Classifier for Noisy Label Learning.
CoRR, 2020

A Survey of Label-noise Representation Learning: Past, Present and Future.
CoRR, 2020

Graph Neural Network with Automorphic Equivalence Filters.
CoRR, 2020

Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding.
CoRR, 2020

Propagation Model Search for Graph Neural Networks.
CoRR, 2020

Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization.
CoRR, 2020

Efficient Backbone Search for Scene Text Recognition.
CoRR, 2020

Efficient Neural Interaction Function Search for Collaborative Filtering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Searching to Exploit Memorization Effect in Learning with Noisy Labels.
Proceedings of the 37th International Conference on Machine Learning, 2020

SIGUA: Forgetting May Make Learning with Noisy Labels More Robust.
Proceedings of the 37th International Conference on Machine Learning, 2020

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

AutoSTR: Efficient Backbone Search for Scene Text Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Simplifying Architecture Search for Graph Neural Network.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Efficient Neural Architecture Search via Proximal Iterations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion.
IEEE Trans. Knowl. Data Eng., 2019

Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Millionaire: a hint-guided approach for crowdsourcing.
Mach. Learn., 2019

Neural Recurrent Structure Search for Knowledge Graph Embedding.
CoRR, 2019

Searching to Exploit Memorization Effect in Learning from Corrupted Labels.
CoRR, 2019

Searching for Interaction Functions in Collaborative Filtering.
CoRR, 2019

Differentiable Neural Architecture Search via Proximal Iterations.
CoRR, 2019

AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding.
CoRR, 2019

Few-shot Learning: A Survey.
CoRR, 2019

State-Sharing Sparse Hidden Markov Models for Personalized Sequences.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robust Learning from Noisy Side-information by Semidefinite Programming.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations.
Proceedings of the 36th International Conference on Machine Learning, 2019

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Scalable Online Convolutional Sparse Coding.
IEEE Trans. Image Process., 2018

Privacy-preserving Transfer Learning for Knowledge Sharing.
CoRR, 2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR, 2018

Scalable Tensor Completion with Nonconvex Regularization.
CoRR, 2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.
CoRR, 2018

Learning with Heterogeneous Side Information Fusion for Recommender Systems.
CoRR, 2018

Scalable Robust Matrix Factorization with Nonconvex Loss.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Convolutional Sparse Coding with Sample-Dependent Dictionary.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
VISTopic: A visual analytics system for making sense of large document collections using hierarchical topic modeling.
Vis. Informatics, 2017

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity.
J. Mach. Learn. Res., 2017

Efficient Robust Matrix Factorization with Nonconvex Penalties.
CoRR, 2017

Social Recommendation With Local Low Rank Matrix Approximation.
CoRR, 2017

Online Convolutional Sparse Coding.
CoRR, 2017

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Zero-shot learning with a partial set of observed attributes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Loss-aware Binarization of Deep Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Collaborative Filtering with Social Local Models.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Fast Learning with Nonconvex L1-2 Regularization.
CoRR, 2016

Learning of Generalized Low-Rank Models: A Greedy Approach.
CoRR, 2016

Greedy Learning of Generalized Low-Rank Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Fast Low-Rank Matrix Learning with Nonconvex Regularization.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Colorization by Patch-Based Local Low-Rank Matrix Completion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2012
Efficient Group Learning with Hypergraph Partition in Multi-task Learning.
Proceedings of the Pattern Recognition - Chinese Conference, 2012


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