Zequn Zhang

Orcid: 0000-0002-2138-845X

According to our database1, Zequn Zhang authored at least 58 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival.
Robotics Comput. Integr. Manuf., June, 2024

Enabling collaborative assembly between humans and robots using a digital twin system.
Robotics Comput. Integr. Manuf., April, 2024

2023
Emotion-cause pair extraction with bidirectional multi-label sequence tagging.
Appl. Intell., December, 2023

A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning.
Robotics Comput. Integr. Manuf., October, 2023

Implicit Event Argument Extraction With Argument-Argument Relational Knowledge.
IEEE Trans. Knowl. Data Eng., September, 2023

Tackling higher-order relations and heterogeneity: Dynamic heterogeneous hypergraph network for spatiotemporal activity prediction.
Neural Networks, September, 2023

Dynamic scheduling for flexible job shop using a deep reinforcement learning approach.
Comput. Ind. Eng., June, 2023

Exploiting event-aware and role-aware with tree pruning for document-level event extraction.
Neural Comput. Appl., May, 2023

MS-CANet: Multi-Scale Subtraction Network with Coordinate Attention for Retinal Vessel Segmentation.
Symmetry, March, 2023

Extracting 3-D Structural Lines of Building From ALS Point Clouds Using Graph Neural Network Embedded With Corner Information.
IEEE Trans. Geosci. Remote. Sens., 2023

KEPT: Knowledge Enhanced Prompt Tuning for event causality identification.
Knowl. Based Syst., 2023

ReasonFuse: Reason Path Driven and Global-Local Fusion Network for Numerical Table-Text Question Answering.
Neurocomputing, 2023

MDSC-Net: A multi-scale depthwise separable convolutional neural network for skin lesion segmentation.
IET Image Process., 2023

RLLTE: Long-Term Evolution Project of Reinforcement Learning.
CoRR, 2023

Thinking Like an Expert: Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals.
CoRR, 2023

TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection.
CoRR, 2023

Research on Construction of Digital Twin Models for Workshop-level Industrial Equipment.
Proceedings of the 28th International Conference on Automation and Computing, 2023

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Event Causality Extraction via Implicit Cause-Effect Interactions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SRNet: Striped Pyramid Pooling and Relational Transformer for Retinal Vessel Segmentation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TOT:Topology-Aware Optimal Transport for Multimodal Hate Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modeling N-ary relational data as gyro-polygons with learnable gyro-centroid.
Knowl. Based Syst., 2022

HEFT: A History-Enhanced Feature Transfer framework for incremental event detection.
Knowl. Based Syst., 2022

Trigger is Non-central: Jointly event extraction via label-aware representations with multi-task learning.
Knowl. Based Syst., 2022

HYPER<sup>2</sup>: Hyperbolic embedding for hyper-relational link prediction.
Neurocomputing, 2022

Representation learning of knowledge graphs with the interaction between entity types and relations.
Neurocomputing, 2022

TSPNet: Translation supervised prototype network via residual learning for multimodal social relation extraction.
Neurocomputing, 2022

Span-based dual-decoder framework for aspect sentiment triplet extraction.
Neurocomputing, 2022

Span-level Bidirectional Cross-attention Framework for Aspect Sentiment Triplet Extraction.
CoRR, 2022

SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation.
Comput. Biol. Medicine, 2022

RSAP-Net: joint optic disc and cup segmentation with a residual spatial attention path module and MSRCR-PT pre-processing algorithm.
BMC Bioinform., 2022

SF-ANN: leveraging structural features with an attention neural network for candidate fact ranking.
Appl. Intell., 2022

DPNet: domain-aware prototypical network for interdisciplinary few-shot relation classification.
Appl. Intell., 2022

A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

The Continuous Time Dynamical Analysis of Heart Rate Asymmetry.
Proceedings of CECNet 2022, 2022

Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-agent reinforcement learning for online scheduling in smart factories.
Robotics Comput. Integr. Manuf., 2021

Integrate syntax information for target-oriented opinion words extraction with target-specific graph convolutional network.
Neurocomputing, 2021

End-to-end aspect-based sentiment analysis with hierarchical multi-task learning.
Neurocomputing, 2021

A unified position-aware convolutional neural network for aspect based sentiment analysis.
Neurocomputing, 2021

Hierarchical-aware relation rotational knowledge graph embedding for link prediction.
Neurocomputing, 2021

HGEED: Hierarchical graph enhanced event detection.
Neurocomputing, 2021

HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction.
CoRR, 2021

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model.
Comput. Intell. Neurosci., 2021

Research on Workers Integration in Smart Factories With Multi-Agent Control System.
IEEE Access, 2021

Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Coarse and Fine Granularity Graph Reasoning for Interpretable Multi-Hop Question Answering.
IEEE Access, 2020

Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection.
IEEE Access, 2020

2019
Multiple Target Tracking Based on Multiple Hypotheses Tracking and Modified Ensemble Kalman Filter in Multi-Sensor Fusion.
Sensors, 2019

An Adaptive Real-Time Scheduling Method for Flexible Job Shop Scheduling Problem With Combined Processing Constraint.
IEEE Access, 2019

MIFM: Multi-Granularity Information Fusion Model for Chinese Named Entity Recognition.
IEEE Access, 2019

2018
High Resolution SAR Image Classification with Deeper Convolutional Neural Network.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2013
A direct mining approach to efficient constrained graph pattern discovery.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012
Classification-Based Prediction on the Retweet Actions over Microblog Dataset.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

View independent human posture identification using Kinect.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012


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