An Enterprise Public Opinion Emergency Response System. - Jialun Wu; Cong Luo; Wei Zhang; Pan Liu (ICITEE, 2019)

Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research. - Kai He 001; Jialun Wu; Xiaoyong Ma; Chong Zhang; Ming Huang; Chen Li 011; Lixia Yao (SMM4H@ACL, 2019)

Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network. - Jialun Wu; Kaiwen Tang; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2020)

AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. - Yang Liu; Jialun Wu; Yuhua Wei; Bing Mao; Chen Li 011; Tieliang Gong (BIBM, 2021)

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. - Anyu Mao; Jialun Wu; Xinrui Bao; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (BIBM, 2021)

PIMIP: An Open Source Platform for Pathology Information Management and Integration. - Jialun Wu; Anyu Mao; Xinrui Bao; Haichuan Zhang 001; Zeyu Gao 001; Chunbao Wang 002; Tieliang Gong; Chen Li 011 (BIBM, 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 001; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. - Jialun Wu; Ruonan Zhang; Tieliang Gong; Yang Liu; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. - Jialun Wu; Ruonan Zhang; Tieliang Gong; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. - Zeyu Gao 001; Bangyang Hong; Xianli Zhang; Yang Li 139; Chang Jia; Jialun Wu; Chunbao Wang 002; Deyu Meng; Chen Li 011 (MICCAI (8), 2021)

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. - Zeyu Gao 001; Jiangbo Shi; Xianli Zhang; Yang Li 139; Haichuan Zhang 001; Jialun Wu; Chunbao Wang 002; Deyu Meng; Chen Li 011 (MICCAI (8), 2021)

BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews. - Hui Bao; Kai He 001; Xuemeng Yin; Xuanyu Li; Xinrui Bao; Haichuan Zhang 001; Jialun Wu; Zeyu Gao 001 (NLPCC (2), 2021)

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. - Jialun Wu; Haichuan Zhang 001; Zeyu Gao 001; Xinrui Bao; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. - Jialun Wu; Zeyu Gao 001; Haichuan Zhang 001; Ruonan Zhang; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. - Jialun Wu; Yang Liu; Zeyu Gao 001; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. - Zeyu Gao 001; Anyu Mao; Jialun Wu; Yang Li 139; Chunbao Wang 002; Caixia Ding; Tieliang Gong; Chen Li 011 (BIBM, 2022)

Knowledge Enhanced Coreference Resolution via Gated Attention. - Kai He 001; Bing Mao; Xiangyu Zhou; Yufei Li 002; Tieliang Gong; Chen Li 011; Jialun Wu (BIBM, 2022)

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. - Bing Mao; Chang Jia; Yucheng Huang; Kai He 001; Jialun Wu; Tieliang Gong; Chen Li 011 (BIBM, 2022)

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. - Jialun Wu; Buyue Qian; Yang Li 139; Zeyu Gao 001; Meizhi Ju; Yifan Yang 008; Yefeng Zheng 001; Tieliang Gong; Chen Li 011; Xianli Zhang (CIKM, 2022)

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. - Zeyu Gao 001; Chang Jia; Yang Li 139; Xianli Zhang; Bangyang Hong; Jialun Wu; Tieliang Gong; Chunbao Wang 002; Deyu Meng; Yefeng Zheng 001; Chen Li 011 (IEEE Trans. Medical Imaging, 2022)

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. - Zeyu Gao 001; Bangyang Hong; Yang Li 139; Xianli Zhang; Jialun Wu; Chunbao Wang 002; Xiangrong Zhang; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; Chen Li 011 (Medical Image Anal., 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 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. - Zeyu Gao 001; Anyu Mao; Kefei Wu; Yang Li 139; Liebin Zhao; Xianli Zhang; Jialun Wu; Lisha Yu; Chao Xing; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; et al. (IEEE Trans. Medical Imaging, 2023)

Dual Attention and Patient Similarity Network for drug recommendation. - Jialun Wu; Yuxin Dong; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (Bioinform., 2023)

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. - Jialun Wu; Kai He 001; Rui Mao 010; Chen Li 011; Erik Cambria (Inf. Fusion, 2023)

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. - Jialun Wu; Xinyao Yu 004; Kai He 001; Zeyu Gao 001; Tieliang Gong (Inf. Process. Manag., 2024)

Odak. - Kaan Aksit; Jeanne Beyazian; Praneeth Chakravarthula; Ziyang Chen; Mustafa Doga Dogan; Ahmet Hamdi Güzel; Yuta Itoh 001; Henry Kam; Ahmet Serdar Karadeniz; Koray Kavakli; Liang Shi 003; Josef B. Spjut; et al. (Zenodo, 2024)

Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. - Jialun Wu; Kai He 001; Rui Mao 010; Xuequn Shang 001; Erik Cambria (Inf. Fusion, 2025)

TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling. - Jialun Wu; Xin Mei; Rui Mao 010; Kai He 001; Erik Cambria (Inf. Fusion, 2026)