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ORCIDKai He 0001
Person information
- affiliation: National University of Singapore (NUS), School of Public Health, Singapore
- affiliation: Nanyang Technological University (NTU), School of Computer Science and Engineering, Singapore
- affiliation (PhD 2023): Xi'an Jiaotong University (XJTU), Xi'an, China
Other persons with the same name
- Kai He — disambiguation page
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2020 – today
- 2025
[j15]Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He
, Luyao Zhu, Erik Cambria:
A survey on pragmatic processing techniques. Inf. Fusion 114: 102712 (2025)- [j14]Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng:
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Inf. Fusion 116: 102795 (2025) - [j13]Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria:
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Inf. Fusion 118: 102963 (2025) - [j12]Yuchen Zhang, Zeyu Gao, Kai He, Chen Li, Rui Mao:
From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. Inf. Fusion 119: 103027 (2025) - [j11]Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng:
Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. IEEE Trans. Image Process. 34: 2421-2434 (2025) - [i9]Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng:
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. CoRR abs/2501.18119 (2025) - [i8]Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng:
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. CoRR abs/2502.00681 (2025) - [i7]Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng:
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images. CoRR abs/2503.06073 (2025) - 2024
- [j10]Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria:
A survey on semantic processing techniques. Inf. Fusion 101: 101988 (2024) - [j9]Jialun Wu, Xinyao Yu, Kai He, Zeyu Gao, Tieliang Gong:
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. Inf. Process. Manag. 61(4): 103758 (2024) - [j8]Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Penghzhen Cheng, Kai He, Tieliang Gong, Chen Li:
Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 2145-2155 (2024) - [j7]Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria:
Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18357-18369 (2024) - [c9]Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria:
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. ACL (Findings) 2024: 9891-9908 - [c8]Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao:
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. CIKM 2024: 2671-2681 - [i6]Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng:
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution. CoRR abs/2408.10548 (2024) - [i5]Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng:
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. CoRR abs/2408.12880 (2024) - [i4]Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao:
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. CoRR abs/2409.10944 (2024) - [i3]Jiaxing Xu, Mengcheng Lan, Xia Dong, Kai He, Wei Zhang, Qingtian Bian, Yiping Ke:
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion. CoRR abs/2410.08228 (2024) - 2023
- [j6]Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213(Part): 118927 (2023) - [j5]Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria:
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Inf. Fusion 100: 101939 (2023) - [j4]Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14(3): 1731-1742 (2023) - [j3]Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria:
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. IEEE Trans. Affect. Comput. 14(3): 1743-1753 (2023) - [c7]Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria:
MetaPro Online: A Computational Metaphor Processing Online System. ACL (demo) 2023: 127-135 - [c6]Xulang Zhang, Rui Mao, Kai He, Erik Cambria:
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. EMNLP (Findings) 2023: 8772-8783 - [i2]Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria:
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR abs/2310.05694 (2023) - [i1]Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria:
A Survey on Semantic Processing Techniques. CoRR abs/2310.18345 (2023) - 2022
- [j2]Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li:
JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. 23(1): 549 (2022) - [c5]Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu:
Knowledge Enhanced Coreference Resolution via Gated Attention. BIBM 2022: 2287-2293 - [c4]Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li:
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. BIBM 2022: 2318-2325 - [c3]Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li:
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING 2022: 2515-2527 - 2021
- [j1]Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li:
Knowledge enhanced LSTM for coreference resolution on biomedical texts. Bioinform. 37(17): 2699-2705 (2021) - [c2]Hui Bao, Kai He, Xuemeng Yin, Xuanyu Li, Xinrui Bao, Haichuan Zhang, Jialun Wu, Zeyu Gao:
BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews. NLPCC (2) 2021: 235-247
2010 – 2019
- 2019
- [c1]Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao:
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research. SMM4H@ACL 2019: 1-10
Coauthor Index
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last updated on 2025-05-17 01:40 CEST by the dblp team
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