Dr. He Kai earned his Ph.D. from the School of Computer Science and Technology, Xi’an Jiaotong University, under the supervision of Prof. Li Chen (recipient of China’s Young Thousand Talents Award), and completed a research visit at Nanyang Technological University with Prof. Erik Cambria (IEEE Fellow). He is currently a postdoctoral researcher at the National University of Singapore, School of Public Health, specializing in medical artificial intelligence and natural language processing (NLP).

Dr. He has established himself as an independent researcher with a strong foundation in NLP and large language models, complemented by impactful applications in healthcare. He has published over 45 peer-reviewed papers, including articles in top-tier venues such as Nature Cancer, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Affective Computing, and Information Fusion. His work includes two ESI Highly Cited Papers, a Best Paper Award in IEEE Transactions on Affective Computing. His leading projects, notably the Intelligent Telephone Triage in Pre-Hospital Emergency Care with the Singapore Civil Defence Force, have translated cutting-edge AI into practice, reducing triage error rates. The project received the Provost’s Innovation Chair Professor Award, was commended by Singapore’s Health Minister, showcased at national healthcare innovation events, and he will be received by Deputy Prime Minister Mr. Gan Kim Yong as the project representative.

Beyond publications, Dr. He demonstrates leadership in both research and service. He serves as an Associate Editor for IEEE Transactions on Affective Computing, co-chairs the NLP-SIG workshop and Precision Medicine workshop of BIBM, and reviews for leading journals such as Information Fusion, TNNLS, and TAC. He also contributes to program committees of ACL, EMNLP, IJCAI, SIGIR, and WWW. As a mentor, he has supervised PhD students to co-author multiple publications.

For his full (and timely) publication list, please refer to my Google scholar.

🔥 News

2025.08: 🎉🎉 Our paper on Slide-level Question Answering is accepted by Nature Cancer. Congrats to Dr. Gao.
2025.07: 🎉🎉 Our paper on LLM-Generated Text Detection is accepted by EMNLP.
2025.07: 🎉🎉 Our paper on Personalized Clinical Prediction is accepted Information Fusion (IF 14.8). Congrats to Dr. Wu.
2025.07: 🎉🎉 Our paper on Multi-center Anatomical Detection is accepted Information Fusion (IF 14.8). Congrats to [Dr. Gao].
2025.07: 🎉🎉 Our paper on Chinese Medical Entity Normalization is accepted by ESWA (IF 7.5). Congrats to Dr. Hou.
2025.06: 🎉🎉 Our paper on Fuzzy RAG is accepted by IEEE Transactions on Fuzzy Systems (IF 11.9).
2025.05: 🎉🎉 Our paper of Multimodal EHR Survey is accepted Information Fusion (IF 14.8). Congrats to Dr. Wu.
2025.05: 🎉🎉 Our two paper are accepted by ACL 2025. Congrats to Dr. Lin.
2025.05: 🎉🎉 Our paper of neurological condition identification are accepted by MICCAI 2025. Congrats to Dr. Xu.
2025.05: 🎉🎉 Our paper of exploring cognitive difference via LLM is accepted by Cognitive Computation. Congrats to Dr. Bao
2025.04: 🎉🎉 Our paper of multimodal meidcal LLM is accepted by Cancer Research (IF 12.5). Congrats to Dr. Gao.
2025.04: 🎉🎉 Our paper of diffusion-based difference-aware medical VQA is accepted by IEEE TIP. Congrats to Dr. Lin.
2025.02: 🎉🎉 Our survey paper on Multiple Instance Learning in computational pathology is accepted by Information Fusion (IF 14.8).
2024.12: 🎉🎉 Our paper reveives **Best Paper Award**, IEEE Transactions on Affective Computing, titled “The Biases of Pre-Trained Language Models: An Empirical Study on PromptBased Sentiment Analysis and Emotion Detection”

📝 Publications

2025

Nature Cancer ALPaCA: Adapting Llama for Pathology Context Analysis to enable slide-level question answering
Zeyu Gao, Kai He, Weiheng Su, et al. [Paper]
Information Fusion Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM
Zhan Gao, Ling Huang, …, Kai He et al. [Paper]
EMNLP DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains
Wenhui Hou, Kai He, Rui Mao, et al. [Paper]
Information Fusion TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling
Wenhui Hou, Kai He, Rui Mao, et al. [Paper]
ESWA Multi-granularity Semantic Extraction and Multi-task Fusion for Chinese Medical Entity Normalization Expert Systems With Applications
Wenhui Hou, Kai He, Rui Mao, et al. [Paper]
IEEE Transactions on Fuzzy Systems External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection
Kai He, Jiaxing Xu, Qiq Lin, et al. [Paper]
Information Fusion Harnessing the Potential of Multimodal EHR data: A Comprehensive Survey of Clinical Predictive Modeling for Intelligent Healthcare
Wu Jialun, Kai He, Rui Mao, et al. [Paper]
ACL 2025 Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark.
Kai He, Yucheng Huang, Wenqing Wang, et al. [Paper]
ACL 2025 Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with LLMs. Qika Lin, Tianzhe Zhao, Kai He, et al. [Paper]
MICCAI 2025 BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification.
Xu Jiaxing, He K, Tang Y, et. al. [Paper]
Cognitive Computation Exploring Cognitive Difference in Poetry! Collection via: A Case Study of the Book of Songs.
Bao H, He K, Wang YG, et. al., [Paper]
Cancer Research Bridging whole slide images and large language model for slide-level question answering.
Gao Z, He K, Su W, et al. [Paper]
IEEE TIP Cross-modal Knowledge Diffusion-based Generation for Difference-aware Medical VQA.
Qika Lin, Kai He, Yifan Zhu, et al. . [Paper]
Information Fusion From patches to WSIs: A systematic REVIEW of deep Multiple Instance Learning in computational pathology.
Zhang Y, Gao Z, He K, et al. . (IF:14.8) [Paper]
Information Fusion A survey on pragmatic processing techniques. Information Fusion,
Mao R, Ge M, Han S, et al. [Paper]
Information Fusion A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.
He K, Mao R, Lin Q, et al. [Paper]

2024

Lin Q, Zhu Y, Mei X, et al. Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey[J]. Information Fusion, 2024: 102795. [Paper]
Xu J, He K, Lan M, et al. Contrasformer: a brain network contrastive transformer for neurodegenerative condition identification[C]//Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 2024: 2671-2681. [Paper]
Li Y, Ma X, Zhou X, et al. Integrating K+ Entities into Coreference Resolution on Biomedical Texts[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024. [Paper]
Mao R, He K, Ong C, et al. MetaPro 2.0: Computational metaphor processing on the effectiveness of anomalous language modeling[C]//Findings of the Association for Computational Linguistics ACL 2024. 2024: 9891-9908. [Paper]
Wu J, Yu X, He K, et al. Promise: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation[J]. Information Processing & Management, 2024, 61(4): 103758. [Paper]
Mao R, He K, Zhang X, et al. A survey on semantic processing techniques[J]. Information Fusion, 2024, 101: 101988. [Paper]

2023

Zhang X, Mao R, He K, et al. Neuro-symbolic sentiment analysis with dynamic word sense disambiguation[C]//Findings of the Association for Computational Linguistics: EMNLP 2023. 2023: 8772-8783. [Paper]
Wu J, He K, Mao R, et al. MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare[J]. Information Fusion, 2023, 100: 101939. [Paper]
He K, Mao R, Huang Y, et al. Template-free prompting for few-shot named entity recognition via semantic-enhanced contrastive learning[J]. IEEE transactions on neural networks and learning systems, 2023. [Paper]
Mao R, Li X, He K, et al. MetaPro Online: A computational metaphor processing online system[C]//Proceedings of the 61st annual meeting of the association for computational linguistics. Association for Computational Linguistics (ACL), 2023. [Paper]
He K, Huang Y, Mao R, et al. Virtual prompt pre-training for prototype-based few-shot relation extraction[J]. Expert systems with applications, 2023, 213: 118927. [Paper]
Mao R, Liu Q, He K, et al. The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection[J]. IEEE transactions on affective computing, 2022, 14(3): 1743-1753. [Paper]
2022
He K, Mao R, Gong T, et al. JCBIE: a joint continual learning neural network for biomedical information extraction[J]. BMC bioinformatics, 2022, 23(1): 549. [Paper]
Mao B, Jia C, Huang Y, et al. Uncertainty-guided mutual consistency training for semi-supervised biomedical relation extraction[C]//2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022: 2318-2325. [Paper]
He K, Mao B, Zhou X, et al. Knowledge enhanced coreference resolution via gated attention[C]//2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022: 2287-2293. [Paper]
Huang Y, He K, Wang Y, et al. Copner: Contrastive learning with prompt guiding for few-shot named entity recognition[C]//Proceedings of the 29th International conference on computational linguistics. 2022: 2515-2527. [Paper]
He K, Mao R, Gong T, et al. Meta-based self-training and re-weighting for aspect-based sentiment analysis[J]. IEEE Transactions on Affective Computing, 2022, 14(3): 1731-1742. [Paper]

Before 2022

Li Y, Ma X, Zhou X, et al. Knowledge enhanced lstm for coreference resolution on biomedical texts[J]. Bioinformatics, 2021, 37(17): 2699-2705. [Paper]
He K, Yao L, Zhang J W, et al. Construction of genealogical knowledge graphs from obituaries: Multitask neural network extraction system[J]. Journal of medical Internet research, 2021, 23(8): e25670. [Paper]
Bao H, He K, Yin X, et al. Bert-based meta-learning approach with looking back for sentiment analysis of literary book REVIEWs[C]//Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part II 10. Springer International Publishing, 2021: 235-247. [Paper]
He K, Wu J, Ma X, et al. Extracting kinship from obituary to enhance electronic health records for genetic research[C]//Proceedings of the Fourth social media mining for health applications (# SMM4H) workshop & shared task. 2019: 1-10. [Paper]
He K, Hong N, Lapalme-Remis S, et al. Understanding the patient perspective of epilepsy treatment through text mining of online patient support groups[J]. Epilepsy & Behavior, 2019, 94: 65-71. [Paper]
Li C, Xu X, Zhou G, et al. Implementation of National Health Informatization in China: survey about the status quo[J]. JMIR medical informatics, 2019, 7(1): e12238. [Paper]

Under REVIEW

Fundamental Algorithms for Retrieval Augmented Generation: A Survey Zihao Huang, Rui Mao, Xiaobao Wu, Kai He et. al.
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng
Mind the Gap: A Gap-Aware Corpus Augmentation Framework for Topic-Level Imbalance in Mental Health Retrieval Amanda Chan, James Jiayu Liu, Kai He, Onno P. Kampman
BrainPrompt+: Multi-Level Brain Prompt Learning for Knowledge-Guided Neurological Disorder Identification Jiaxing Xu, Kai He, Yue Tang
A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning Qika Lin, Yifan Zhu, … , Kai He
InTriage: Intelligent Telephone Triage in Pre‑Hospital Emergency Care HE K, LIN QK, FEi H, ET.AL.
Towards Smarter Clinical Predictions: Foundation Models for Integrating Multi‑Source Domain Knowledge in EHRs WU JL, MEI X, HE K, ET. AL.
Robust Multimodal Sentiment Analysis via Double Information Bottleneck HUANG, HT, GONG TLHE K, ET.AL.
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models LIN QK, PENG X, HE K, ET. AL.
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution RUAN,YC, LAN X, HE K, ET. AL.
Unraveling the Evolution of Public Cognition of COVID‑19: A Concept Mapping Analysis through Metaphors in US Tweets MAO R, TAN Y, HE K, ET. AL.
Multi‑Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion XU JX, LAN MC, HE K, ET. AL.
Towards Unified Neurosymbolic Reasoning on Knowledge Graphs LIN QK, XU FZ, HE K, ET. AL.
Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection WANG XB, GE M, HE K, ET. AL.

🎖 Honors and Awards

2024.12 Best Paper Award, IEEE Transactions on Affective Computing.
2024.12 Outstanding Meidcal AI Applications.
2023.03 Outstanding Doctoral Graduate.
2022.09 Outstanding Graduate Student.
2022.09 First-Class Scholarship Award.

📖 Educations and Experiences

2023.05 - present, Research Fellow at SSHSPH, National University of Singapore, Singapore. (Supervisor: Prof. Mengling Feng)
2021.09 - 2022.09, Joint Ph.D. at CCDS, Nanyang Technological University, Singapore. (Supervisor: Prof. Erik Cambria)
2017.09 - 2023.03, Ph.D. at School of Computer Science and Technology, Xi’an Jiaotong University, Shannxi, China. (Supervisor: Prof. Chen Li)

💬 Academic Projects

Project of Intelligent Telephone Triage in Pre-Hospital Emergency Care. AISG, Grant AISG2-TC-2022-004.
Project of National Natural Science Foundation of China, research on the construction of metabolic pathway model based on semantic analysis of biological text, project number 61772409.
National Key RD Project, Research on Effective Mining and Key Information Technology of Big Data of Precision Medicine, Project No. 2018YFC0910404HZ.
Project of Shaanxi Provincial Department of Science and Technology, full chain intelligent pathology diagnosis equipment, project number 2021GXLH-Z-095.
Ningxia Provincial Key RD Program, application demonstration of key technologies for medical big data management and services based on breast cancer, stomach cancer, coronary heart disease and other diseases, project number 2022BEG02025HZ.
Project of the Statistical Information Center of the National Health Commission, Research on the framework system of knowledge mapping for artificial intelligence diagnosis and treatment assistance, Project No. 20201076.
Project of Shanghai Children’s Medical Center affiliated with Shanghai Jiao Tong University School of Medicine, Application of pediatric graded diagnosis and treatment based on artificial intelligence, Project No. 20210506.
Project of Xi’an Jiaotong University, Construction of large-scale cross-modal medical knowledge graph, Project No. xzd012020008
Project of Application Analysis and Benchmarking System of Artificial Intelligence in Health Care, Grant 20190725.
Project of Knowledge mining, fusion and application of multimodal fragmentation, Grant 61721002.

💻 Services

Journal
- Associate Editor :
  
  IEEE Transactions on Affective Computing （IF:9.6）
- Reviewer (Selected):
  
  IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Affective Computing, Information Fusion, Expert System with Applicatiopn, Neurocomputing, Bioinformastics, Information Processing and Management, Knowledge-Based Systems, Cognitive Computation.
Conference
- Co‑chair of The 7th International Workshop on Artificial Intelligence for Precision Medicine, 2025 (https://ai-precmed.github.io).
- Co‑chair of NLP‑SIG workshop, 2023‑now
- Program Committee Member:
  
  ACL’23-25, EMNLP’22-23, COLING’22-23, SIGIR’23, CIKM’24, IJCAI’23-24, IJCNN’25 etc.

Kai He