Jiangyuan Wang

Orcid: 0009-0003-3728-6276

According to our database1, Jiangyuan Wang authored at least 13 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Low-Cost High-Accuracy Random Number Source Design for Stochastic Computing via Exploitation of Uniform Spatial Distribution.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2026

ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation.
CoRR, February, 2026

Neural Connected Kernel based Multiple Kernel Clustering.
Inf. Fusion, 2026

ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
TransSSVs: a Transformer-based deep learning model for accurate detection of somatic small variants in paired tumor and normal sequencing data.
Appl. Intell., August, 2025

PREDAC-FluB: predicting antigenic clusters of seasonal influenza B viruses with protein language model embedding based convolutional neural network.
Briefings Bioinform., July, 2025

EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Anchor graph based connectivity peaks clustering.
Knowl. Based Syst., 2025

Dual Feature Enhancement and Adaptive Attention Fusion for Cross-Modal Scene Classification of Mining Land.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024
PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network.
Briefings Bioinform., March, 2024

A Brief Survey on Randomizer Design and Optimization for Efficient Stochastic Computing.
Proceedings of the IEEE International Test Conference in Asia, 2024

2023
Integrating GRACE/GRACE Follow-On and Wells Data to Detect Groundwater Storage Recovery at a Small-Scale in Beijing Using Deep Learning.
Remote. Sens., December, 2023

2021
PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021


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