Guanghui Zhu

Orcid: 0000-0002-5069-5950

According to our database1, Guanghui Zhu authored at least 51 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Robust portfolio selection for sparse index tracking under no short-selling and full investment constraints.
Int. J. Wavelets Multiresolution Inf. Process., May, 2024

SunwayLB: Enabling Extreme-Scale Lattice Boltzmann Method Based Computing Fluid Dynamics Simulations on Advanced Heterogeneous Supercomputers.
IEEE Trans. Parallel Distributed Syst., February, 2024

Identification of labeled Petri nets from finite automata.
Inf. Sci., 2024

LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Boosting Graph Anomaly Detection with Adaptive Message Passing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Coral: federated query join order optimization based on deep reinforcement learning.
World Wide Web (WWW), September, 2023

Simple and Efficient Partial Graph Adversarial Attack: A New Perspective.
CoRR, 2023

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks.
CoRR, 2023

AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Operation-Level Early Stopping for Robustifying Differentiable NAS.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting.
Proceedings of the IEEE International Conference on Data Mining, 2023

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

hsSpMV: A Heterogeneous and SPM-aggregated SpMV for SW26010-Pro many-core processor.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
High-Precision Depth Domain Migration Method in Imaging of 3D Seismic Data in Coalfield.
Remote. Sens., 2022

One-Stage Tree: end-to-end tree builder and pruner.
Mach. Learn., 2022

Transition Relation Aware Self-Attention for Session-based Recommendation.
CoRR, 2022

Online verification of K-step opacity by Petri nets in centralized and decentralized structures.
Autom., 2022

NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AutoGSR: Neural Architecture Search for Graph-based Session Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Evolutionary Automated Feature Engineering.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A2: Efficient Automated Attacker for Boosting Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge-enhanced Black-box Attacks for Recommendations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Self-supervised Learning on Graphs with Heterophily.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DIFER: Differentiable Automated Feature Engineering.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
An Efficient Fault Diagnosis Approach Based on Integer Linear Programming for Labeled Petri Nets.
IEEE Trans. Autom. Control., 2021

Marking Estimation in Petri Nets Using Hierarchical Basis Reachability Graphs.
IEEE Trans. Autom. Control., 2021

Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

UniGPS: A Unified Programming Framework for Distributed Graph Processing.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020
Computation of Admissible Marking Sets in Weighted Synchronization-Free Petri Nets by Dynamic Programming.
IEEE Trans. Autom. Control., 2020

DIFER: Differentiable Automated Feature Engineering.
CoRR, 2020

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization.
CoRR, 2020

Fault Diagnosis of Backward Conflict-Free Petri Nets by Generalized Markings.
IEEE Access, 2020

Online Fault Diagnosis of Labeled Petri Nets Based on Reachability Graphs and Topological Sorting.
IEEE Access, 2020

Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity Evaluation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Redistributing and Optimizing High-Resolution Ocean Model POP2 to Million Sunway Cores.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
Fault Identification of Discrete Event Systems Modeled by Petri Nets With Unobservable Transitions.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms.
IEEE Trans. Parallel Distributed Syst., 2019

DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms.
Parallel Comput., 2019

ForestLayer: Efficient training of deep forests on distributed task-parallel platforms.
J. Parallel Distributed Comput., 2019

Model Identification of Unobservable Behavior of Discrete Event Systems Using Petri Nets.
J. Control. Sci. Eng., 2019

HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-way Join Query.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Model-based fault identification of discrete event systems using partially observed Petri nets.
Autom., 2018

2017
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

CSTEA: a webserver for the Cell State Transition Expression Atlas.
Nucleic Acids Res., 2017

AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

A Security Analysis Method for Supercomputing Users' Behavior.
Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

PPIM: A protein-protein interaction database for Maize.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
A survey on biomarker identification based on molecular networks.
Quant. Biol., 2016

2015
Identifying cancer-related microRNAs based on gene expression data.
Bioinform., 2015


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