Kai He

63 papers A* 3A 1B 1Journal 46Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A
CoRR
Jian Zhang, Yu He, Zhiyuan Wang, Zhangqi Wang, Kai He, Fangzhi Xu, Qika Lin, Jun Liu
2026 J jnl
Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM.
Inf. Fusion
Zhan Gao, Ling Huang, Qika Lin, Bin Pu, Kai He, Mengling Feng, Kenli Li
2026 J jnl
External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection.
IEEE Trans. Fuzzy Syst.
Kai He, Jiaxing Xu, Qika Lin, Wenqing Wang, Zeyu Gao, Jialun Wu, Yucheng Huang, Mengling Feng
2026 J jnl
From Latent Signals to Reflection Behavior: Tracing Meta-Cognitive Activation Trajectory in R1-Style LLMs.
CoRR
Yanrui Du, Yibo Gao, Sendong Zhao, Jiayun Li, Haochun Wang, Qika Lin, Kai He, Bing Qin, Mengling Feng
2026 J jnl
Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection.
IEEE Trans. Affect. Comput.
Xiaobao Wang, Meng Ge, Lingshan Li, Di Jin, Kai He, Erik Cambria
2026 A* conf
MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization.
AAAI
Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He, Bo Li, Qika Lin, Jun Liu, Erik Cambria
2026 J jnl
MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning.
CoRR
Zhihui Chen, Kai He, Qingyuan Lei, Bin Pu, Jian Zhang, Yuling Xu, Mengling Feng
2026 J jnl
Multi-Atlas Brain Network Classification Through Consistency Distillation and Complementary Information Fusion.
IEEE J. Biomed. Health Informatics
Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke
2026 J jnl
Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization.
Expert Syst. Appl.
Wenhui Hou, Kai He, Rui Mao, Jianqiang Wang, Xiaokang Wang, Mengling Feng
2026 A* conf
Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis.
AAAI
Huiting Huang, Tieliang Gong, Kai He, Wen Wen, Weizhan Zhang, Mengling Feng
2026 J jnl
Robust multimodal sentiment analysis via double information bottleneck.
Inf. Fusion
Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2026 J jnl
S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs.
CoRR
Yanrui Du, Sendong Zhao, Yibo Gao, Danyang Zhao, Qika Lin, Ming Ma, Jiayun Li, Yi Jiang, Kai He, Qian Xu, Bing Qin, Mengling Feng
2026 J jnl
TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling.
Inf. Fusion
Jialun Wu, Xin Mei, Rui Mao, Kai He, Erik Cambria
2026 J jnl
Toward a Multi-View Brain Network Foundation Model: Cross-View Consistency Learning Across Arbitrary Atlases.
CoRR
Jiaxing Xu, Jingying Ma, Xin Lin, Yuxiao Liu, Kai He, Qika Lin, Yiping Ke, Yang Li, Dinggang Shen, Xiaofeng Meng
2025 J jnl
A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.
CoRR
Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng
2025 J jnl
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.
CoRR
Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng
2025 J jnl
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.
Inf. Fusion
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
2025 J jnl
A survey on pragmatic processing techniques.
Inf. Fusion
Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He, Luyao Zhu, Erik Cambria
2025 J jnl
Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint.
CoRR
Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Qika Lin, Kai He, Ting Liu, Bing Qin, Mengling Feng
2025 J jnl
Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI.
CoRR
Dilruk Perera, Gousia Habib, Qianyi Xu, Daniel J. Tan, Kai He, Erik Cambria, Mengling Feng
2025 J jnl
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification.
CoRR
Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng
2025 — conf
BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification.
MICCAI (12)
Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng
2025 — conf
Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark.
ACL (1)
Kai He, Yucheng Huang, Wenqing Wang, Delong Ran, Dongming Sheng, Junxuan Huang, Qika Lin, Jiaxing Xu, Wenqiang Liu, Mengling Feng
2025 J jnl
Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA.
IEEE Trans. Image Process.
Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng
2025 J jnl
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction.
CoRR
Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng
2025 A* conf
DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains.
EMNLP
Zhihui Chen, Kai He, Yucheng Huang, Yunxiao Zhu, Mengling Feng
2025 J jnl
DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains.
CoRR
Zhihui Chen, Kai He, Yucheng Huang, Yunxiao Zhu, Mengling Feng
2025 J jnl
Exploring Cognitive Difference in Poetry Collection via Large Language Models and Metaphors: A Case Study of the Book of Songs.
Cogn. Comput.
Hui Bao, Kai He, Yige Wang, Zeyu Gao
2025 J jnl
From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology.
Inf. Fusion
Yuchen Zhang, Zeyu Gao, Kai He, Chen Li, Rui Mao
2025 J jnl
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images.
CoRR
Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng
2025 J jnl
Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare.
Inf. Fusion
Jialun Wu, Kai He, Rui Mao, Xuequn Shang, Erik Cambria
2025 J jnl
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.
Inf. Fusion
Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2025 — conf
InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care.
EMNLP (System Demonstrations)
Kai He, Qika Lin, Hao Fei, Eng Siong Chng, Dehan Hong, Marcus Eng Hock Ong, Mengling Feng
2025 — conf
Neuro-Symbolic AI in Healthcare.
BIBM
Jialun Wu, Xin Mei, Kai He, Jiaxing Xu, Qika Lin, Zeyu Gao, Rui Mao
2025 J jnl
Robust Multimodal Sentiment Analysis via Double Information Bottleneck.
CoRR
Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2025 — conf
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.
ACL (1)
Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025 J jnl
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.
CoRR
Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025 J jnl
Towards Unified Neurosymbolic Reasoning on Knowledge Graphs.
CoRR
Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng
2024 J jnl
A survey on semantic processing techniques.
Inf. Fusion
Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
2024 A conf
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.
CIKM
Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao
2024 J jnl
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification.
CoRR
Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao
2024 J jnl
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey.
CoRR
Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2024 J jnl
Integrating K+ Entities Into Coreference Resolution on Biomedical Texts.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Penghzhen Cheng, Kai He, Tieliang Gong, Chen Li
2024 J jnl
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution.
CoRR
Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng
2024 — conf
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling.
ACL (Findings)
Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria
2024 J jnl
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion.
CoRR
Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke
2024 J jnl
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation.
Inf. Process. Manag.
Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong
2024 J jnl
Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria
2023 J jnl
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.
CoRR
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
2023 J jnl
A Survey on Semantic Processing Techniques.
CoRR
Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
2023 J jnl
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare.
Inf. Fusion
Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria
2023 J jnl
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput.
Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2023 — conf
MetaPro Online: A Computational Metaphor Processing Online System.
ACL (demo)
Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria
2023 — conf
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation.
EMNLP (Findings)
Xulang Zhang, Rui Mao, Kai He, Erik Cambria
2023 J jnl
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection.
IEEE Trans. Affect. Comput.
Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria
2023 J jnl
Virtual prompt pre-training for prototype-based few-shot relation extraction.
Expert Syst. Appl.
Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2022 B conf
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.
COLING
Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li
2022 J jnl
JCBIE: a joint continual learning neural network for biomedical information extraction.
BMC Bioinform.
Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
2022 — conf
Knowledge Enhanced Coreference Resolution via Gated Attention.
BIBM
Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu
2022 — conf
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction.
BIBM
Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li
2021 — conf
BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews.
NLPCC (2)
Hui Bao, Kai He, Xuemeng Yin, Xuanyu Li, Xinrui Bao, Haichuan Zhang, Jialun Wu, Zeyu Gao
2021 J jnl
Knowledge enhanced LSTM for coreference resolution on biomedical texts.
Bioinform.
Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li
2019 — conf
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research.
SMM4H@ACL
Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao