Jiamin Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2026
Improving the representational power of graph neural networks via mixed substructure learning.
Inf. Fusion, 2026

2025
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation.
ACM Trans. Inf. Syst., September, 2025

Towards AI Search Paradigm.
CoRR, June, 2025

Decoupled graph neural architecture search with explainable variable propagation operation.
Knowl. Inf. Syst., May, 2025

Spectral adversarial attack on graph via node injection.
Neural Networks, 2025

Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments.
Inf. Sci., 2025

Asymmetric augmented paradigm-based graph neural architecture search.
Inf. Process. Manag., 2025

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks.
Int. J. Data Min. Bioinform., 2025

Heterogeneous graph completion collaborative network for attribute-missing heterogeneous graph representation learning.
Expert Syst. Appl., 2025

Form and Behavioral Anthropomorphism of Avatars: Influencing User Satisfaction through Cognitive, Affective, and Social Responses.
Proceedings of the E-Business. Generative Artificial Intelligence and Management Transformation, 2025

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

InstructOCR: Instruction Boosting Scene Text Spotting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Graph neural architecture search with heterogeneous message-passing mechanisms.
Knowl. Inf. Syst., July, 2024

Residual Magnetic Field Testing System with Tunneling Magneto-Resistive Arrays for Crack Inspection in Ferromagnetic Pipes.
Sensors, June, 2024

AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network.
IEEE J. Biomed. Health Informatics, March, 2024

Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder.
Knowl. Inf. Syst., March, 2024

Graph neural architecture prediction.
Knowl. Inf. Syst., January, 2024

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection.
IEEE Trans. Emerg. Top. Comput., 2024

AutoAMS: Automated attention-based multi-modal graph learning architecture search.
Neural Networks, 2024

AutoTGRL: an automatic text-graph representation learning framework.
Neural Comput. Appl., 2024

Depth-adaptive graph neural architecture search for graph classification.
Knowl. Based Syst., 2024

Decoupled differentiable graph neural architecture search.
Inf. Sci., 2024

Symbolic Learning Enables Self-Evolving Agents.
CoRR, 2024

TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing.
CoRR, 2024

Weaver: Foundation Models for Creative Writing.
CoRR, 2024

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training.
CoRR, 2024

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.
CoRR, 2024

Unraveling the Double-Edged Sword Effect of AI Transparency on Algorithmic Acceptance.
Proceedings of the 28th Pacific Asia Conference on Information Systems, 2024

A Multi-Axial Network for Oral Structure Segmentation.
Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

HierFormer: A Multi-scale Attention Model for Ship Trajectory Prediction.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

GiLOT: Interpreting Generative Language Models via Optimal Transport.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adaptive Drug Repositioning Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
GM2NAS: multitask multiview graph neural architecture search.
Knowl. Inf. Syst., October, 2023

Cancer drug response prediction with surrogate modeling-based graph neural architecture search.
Bioinform., August, 2023

Neural predictor-based automated graph classifier framework.
Mach. Learn., April, 2023

Beyond Intuition: Rethinking Token Attributions inside Transformers.
Trans. Mach. Learn. Res., 2023

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Safety Monitoring Method for Anchor Cable Prestress During Slope Construction Based on Spatial Clustering and a Bayesian Panel Vector Autoregression Model.
IEEE Access, 2023

MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

M<sup>4</sup>: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object Part Parsing with Hierarchical Dual Transformer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Research on the Practical Application of RPA Robot for Automatic Intelligent Investment Statistics in PIS System.
Proceedings of the 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, 2023

Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework.
IEEE Trans. Parallel Distributed Syst., 2022

Microseismic First-Arrival Picking Using Fine-Tuning Feature Pyramid Networks.
IEEE Geosci. Remote. Sens. Lett., 2022

Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units.
Biomed. Signal Process. Control., 2022

Learning Spatiotemporal Features for Video Semantic Segmentation Using 3D Convolutional Neural Networks.
Proceedings of the 6th International Symposium on Computer Science and Intelligent Control, 2022

Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Resource and Performance Optimization Reduction Circuit on FPGAs.
IEEE Trans. Parallel Distributed Syst., 2021

Modeling the Piezoelectric Cantilever Resonator with Different Width Layers.
Sensors, 2021

Learning to locate for fine-grained image recognition.
Comput. Vis. Image Underst., 2021

A Novel Reduction Circuit Based on Binary Tree Path Partition on FPGAs.
Algorithms, 2021

Nonfrontal and Asymmetrical Facial Expression Recognition Through Half-Face Frontalization and Pyramid Fourier Frequency Conversion.
IEEE Access, 2021

GraphPAS: Parallel Architecture Search for Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Novel Approach for Understanding Primary Mathematical Problems Described in Natural Language.
Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020

Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Explore mediated co-varying dynamics in microbial community using integrated local similarity and liquid association analysis.
BMC Genom., 2019

Dispute Generation in Law Documents via Joint Context and Topic Attention.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

A Resource Consumption and Performance Overhead Optimized Reduction Circuit on FPGAs.
Proceedings of the International Conference on Field-Programmable Technology, 2019

Application of Machine Learning Methods for Material Classification with Multi-energy X-Ray Transmission Images.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018
Feature Grouping Based On Ga And L-Gem For Human Activity Recognition.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Interference Management Algorithm Based on Coalitional Game for Energy-Harvesting Small Cells.
KSII Trans. Internet Inf. Syst., 2017

2016
Embedded Based Miniaturized Universal Electrochemical Sensing Platform.
J. Sensors, 2016

2014
Fusion of backscatter and transmission images based on multi-scale image decomposition.
Proceedings of the International Conference on Audio, 2014


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