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)

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)

Knowledge enhanced LSTM for coreference resolution on biomedical texts. - Yufei Li 002; Xiaoyong Ma; Xiangyu Zhou; Pengzhen Cheng; Kai He 001; Chen Li 011 (Bioinform., 2021)

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)

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. - Yucheng Huang; Kai He 001; Yige Wang; Xianli Zhang; Tieliang Gong; Rui Mao 010; Chen Li 011 (COLING, 2022)

JCBIE: a joint continual learning neural network for biomedical information extraction. - Kai He 001; Rui Mao 010; Tieliang Gong; Erik Cambria; Chen Li 011 (BMC Bioinform., 2022)

MetaPro Online: A Computational Metaphor Processing Online System. - Rui Mao 010; Xiao Li; Kai He 001; Mengshi Ge; Erik Cambria (ACL (demo), 2023)

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. - Xulang Zhang; Rui Mao 010; Kai He 001; Erik Cambria (EMNLP (Findings), 2023)

Virtual prompt pre-training for prototype-based few-shot relation extraction. - Kai He 001; Yucheng Huang; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (Expert Syst. Appl., 2023)

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. - Kai He 001; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Affect. Comput., 2023)

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. - Rui Mao 010; Qian Liu 012; Kai He 001; Wei Li 076; Erik Cambria (IEEE Trans. Affect. Comput., 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)

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. - Rui Mao 010; Kai He 001; Claudia Ong; Qian Liu 012; Erik Cambria (ACL (Findings), 2024)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. - Jiaxing Xu; Kai He 001; Mengcheng Lan; Qingtian Bian; Wei Li 231; Tieying Li; Yiping Ke; Miao Qiao (CIKM, 2024)

Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution. - Yucheng Ruan; Xiang Lan 004; Jingying Ma; Yizhi Dong; Kai He 001; Mengling Feng (CoRR, 2024)

Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion. - Jiaxing Xu; Mengcheng Lan; Xia Dong; Kai He 001; Wei Zhang 010; Qingtian Bian; Yiping Ke (CoRR, 2024)

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)

Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. - Yufei Li 002; Xiaoyong Ma; Xiangyu Zhou; Penghzhen Cheng; Kai He 001; Tieliang Gong; Chen Li 011 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

A survey on semantic processing techniques. - Rui Mao 010; Kai He 001; Xulang Zhang; Guanyi Chen; Jinjie Ni; Zonglin Yang 001; Erik Cambria (Inf. Fusion, 2024)

Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. - Kai He 001; Rui Mao 010; Yucheng Huang; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Neural Networks Learn. Syst., 2024)

Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark. - Kai He 001; Yucheng Huang; Wenqing Wang; Delong Ran; Dongming Sheng; Junxuan Huang; Qika Lin; Jiaxing Xu; Wenqiang Liu; Mengling Feng (ACL (1), 2025)

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. - Qika Lin; Tianzhe Zhao; Kai He 001; Zhen Peng 005; Fangzhi Xu; Ling Huang 003; Jingying Ma; Mengling Feng (ACL (1), 2025)

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. - Kai He 001; Rui Mao 010; Qika Lin; Yucheng Ruan; Xiang Lan 004; Mengling Feng; Erik Cambria (Inf. Fusion, 2025)

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. - Qika Lin; Yifan Zhu 001; Xin Mei; Ling Huang 003; Jingying Ma; Kai He 001; Zhen Peng 005; Erik Cambria; Mengling Feng (Inf. Fusion, 2025)

A survey on pragmatic processing techniques. - Rui Mao 010; Mengshi Ge; Sooji Han; Wei Li 076; Kai He 001; Luyao Zhu; Erik Cambria (Inf. Fusion, 2025)

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)

From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. - Yuchen Zhang; Zeyu Gao 001; Kai He 001; Chen Li 011; Rui Mao 010 (Inf. Fusion, 2025)

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. - Qika Lin; Kai He 001; Yifan Zhu 001; Fangzhi Xu; Erik Cambria; Mengling Feng (IEEE Trans. Image Process., 2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. - Qika Lin; Zhen Peng 005; Kaize Shi; Kai He 001; Yiming Xu 001; Erik Cambria; Mengling Feng (CoRR, 2025)

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images. - Xiang Lan 004; Feng Wu 001; Kai He 001; Qinghao Zhao; Shenda Hong; Mengling Feng (CoRR, 2025)

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification. - Jiaxing Xu; Kai He 001; Yue Tang; Wei Li 231; Mengcheng Lan; Xia Dong; Yiping Ke; Mengling Feng (CoRR, 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 001; Yige Wang; Zeyu Gao 001 (Cogn. Comput., 2025)

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. - Qika Lin; Fangzhi Xu; Hao Lu 002; Kai He 001; Rui Mao 010; Jun Liu 002; Erik Cambria; Mengling Feng (CoRR, 2025)

Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization. - Wenhui Hou; Kai He 001; Rui Mao 010; Jianqiang Wang; Xiaokang Wang; Mengling Feng (Expert Syst. Appl., 2026)

Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. - Zhan Gao; Ling Huang 003; Qika Lin; Bin Pu; Kai He 001; Mengling Feng; Kenli Li 001 (Inf. Fusion, 2026)

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)