Kai He

According to our database, Kai He authored at least 37 papers between 2019 and 2026.

Collaborative distances:

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

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

Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM.

Zhan Gao, Ling Huang, Qika Lin, Bin Pu, Kai He, Mengling Feng, Kenli Li

Inf. Fusion, 2026

Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization.

Wenhui Hou, Kai He, Rui Mao, Jianqiang Wang, Xiaokang Wang, Mengling Feng

Expert Syst. Appl., 2026

2025

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs.

Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng

CoRR, July, 2025

Exploring Cognitive Difference in Poetry Collection via Large Language Models and Metaphors: A Case Study of the Book of Songs.

Hui Bao, Kai He, Yige Wang, Zeyu Gao

Cogn. Comput., June, 2025

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification.

Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng

CoRR, April, 2025

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images.

Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng

CoRR, March, 2025

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.

Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng

CoRR, February, 2025

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA.

Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng

IEEE Trans. Image Process., 2025

From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology.

Yuchen Zhang, Zeyu Gao, Kai He, Chen Li, Rui Mao

Inf. Fusion, 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

A survey on pragmatic processing techniques.

Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He, Luyao Zhu, Erik Cambria

Inf. Fusion, 2025

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.

Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng

Inf. Fusion, 2025

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.

Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria

Inf. Fusion, 2025

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.

Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark.

Kai He, Yucheng Huang, Wenqing Wang, Delong Ran, Dongming Sheng, Junxuan Huang, Qika Lin, Jiaxing Xu, Wenqiang Liu, Mengling Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning.

Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria

IEEE Trans. Neural Networks Learn. Syst., December, 2024

A survey on semantic processing techniques.

Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria

Inf. Fusion, January, 2024

Integrating K+ Entities Into Coreference Resolution on Biomedical Texts.

Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Penghzhen Cheng, Kai He, Tieliang Gong, Chen Li

IEEE ACM Trans. Comput. Biol. Bioinform., 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

Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion.

Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke

CoRR, 2024

Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution.

Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng

CoRR, 2024

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.

Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling.

Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics, 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

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection.

Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria

IEEE Trans. Affect. Comput., 2023

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.

Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

IEEE Trans. Affect. Comput., 2023

Virtual prompt pre-training for prototype-based few-shot relation extraction.

Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

Expert Syst. Appl., 2023

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation.

Xulang Zhang, Rui Mao, Kai He, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MetaPro Online: A Computational Metaphor Processing Online System.

Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

JCBIE: a joint continual learning neural network for biomedical information extraction.

Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li

BMC Bioinform., December, 2022

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.

Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li

Proceedings of the 29th International Conference on Computational Linguistics, 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

2021

Knowledge enhanced LSTM for coreference resolution on biomedical texts.

Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li

Bioinform., 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

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