Jialun Wu

According to our database, Jialun Wu authored at least 37 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs.

Shuai Xiao, Su Liu, Weikai Zhou, Jialun Wu, Xinjie He, Zhiyuan Lin, Qiyang Xie

CoRR, May, 2026

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA.

Xinjie He, Zhiyuan Lin, Su Liu, Jialun Wu, Qiyang Xie, Weikai Zhou, Shuai Xiao

CoRR, May, 2026

External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection.

Kai He, Jiaxing Xu, Qika Lin, Wenqing Wang, Zeyu Gao, Jialun Wu, Yucheng Huang, Mengling Feng

IEEE Trans. Fuzzy Syst., April, 2026

ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images.

Jiusong Ge, Di Zhang, Yingkang Zhan, Jiashuai Liu, Tieliang Gong, Jialun Wu, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao

IEEE Trans. Medical Imaging, March, 2026

PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images.

Yi Niu, Jiashuai Liu, Yingkang Zhan, Jiangbo Shi, Di Zhang, Marika Reinius, Inês Machado, Mireia Crispin-Ortuzar, Jialun Wu, Chen Li, Zeyu Gao

Medical Image Anal., 2026

MegaSeg: Towards scalable semantic segmentation for megapixel images.

Solomon Kefas Kaura, Jialun Wu, Zeyu Gao, Chen Li

Medical Image Anal., 2026

TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling.

Jialun Wu, Xin Mei, Rui Mao, Kai He, Erik Cambria

Inf. Fusion, 2026

Robust multimodal sentiment analysis via double information bottleneck.

Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng

Inf. Fusion, 2026

2025

Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare.

Jialun Wu, Kai He, Rui Mao, Xuequn Shang, Erik Cambria

Inf. Fusion, 2025

Neuro-Symbolic AI in Healthcare.

Jialun Wu, Xin Mei, Kai He, Jiaxing Xu, Qika Lin, Zeyu Gao, Rui Mao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Odak.

Kaan Aksit, Jeanne Beyazian, Praneeth Chakravarthula, Ziyang Chen, Mustafa Doga Dogan, Ahmet Hamdi Güzel, Yuta Itoh, Henry Kam, Ahmet Serdar Karadeniz, Koray Kavakli, Liang Shi, Josef B. Spjut, David Robert Walton, Jialun Wu, Doga Yilmaz, Yujie Wang, Runze Zhu, Weijie Xie, Yicheng Zhan

Dataset, October, 2024

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation.

Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong

Inf. Process. Manag., 2024

2023

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare.

Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria

Inf. Fusion, December, 2023

Dual Attention and Patient Similarity Network for drug recommendation.

Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li

Bioinform., January, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.

Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li

IEEE Trans. Medical Imaging, 2023

iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre.

Guangyan Zhang, Ying Qin, Wenjie Zhang, Jialun Wu, Mei Li, Yutao Gai, Feijun Jiang, Tan Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.

Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li

Medical Image Anal., 2023

2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.

Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li

IEEE Trans. Medical Imaging, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.

Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction.

Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Knowledge Enhanced Coreference Resolution via Gated Attention.

Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images.

Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.

Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.

Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.

Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews.

Hui Bao, Kai He, Xuemeng Yin, Xuanyu Li, Xinrui Bao, Haichuan Zhang, Jialun Wu, Zeyu Gao

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network.

Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image.

Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.

Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.

Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.

Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PIMIP: An Open Source Platform for Pathology Information Management and Integration.

Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image.

Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation.

Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network.

Jialun Wu, Kaiwen Tang, Haichuan Zhang, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research.

Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

An Enterprise Public Opinion Emergency Response System.

Jialun Wu, Cong Luo, Wei Zhang, Pan Liu

Proceedings of the ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering, 2019