Junwei Zhang holds the position of Assistant Researcher at the Center for Artificial Intelligence and Intelligent Medicine, Hangzhou Institute of Medicine, Chinese Academy of Sciences. He earned his Ph.D. from the College of Intelligence and Computing at Tianjin University, China. He is a professional member of the China Computer Federation (CCF) and recognized as a high-level talent in Hangzhou City. His current research pursuits encompass Quantum Machine Learning, Quantum Cognition, Natural Language Processing, and Bioinformatics & Computational Biology. Throughout his career, Junwei has published more than ten academic papers as the first author at esteemed artificial intelligence conferences such as AAAI, ECAI, and CIKM. Additionally, he has secured multiple invention patents, applied for several software copyrights, and served as a reviewer for reputable journals and conferences including Information Sciences, AAAI, IJCAI, ECAI, EMNLP, and DASFAA.
2023.09 - now:
Assistant Researcher,
Chinese Academy of Sciences.
2017.09 - 2023.06:
Ph.D,
Tianjin University, China.
2015.09 - 2017.06:
Master,
Harbin University of Commerce, China.
2009.09 - 2014.06:
Bachelor,
Tiangong University, China.
Quantum Machine Learning (QML)
Natural Language Processing (NLP)
Bioinformatics & Computational Biology (BCB)

Published as First Author:

Junwei Zhang, Ruifang He, Fengyu Guo, et al. Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation. In AAAI, 2024: 19551-19559.
Junwei Zhang, Tianheng Wang, Chenyang Wang, et al. Emotional Polarity Attention Mechanism for Text Sentiment Analysis. In DASFAA, 2024: 1-9.
Junwei Zhang, Ruifang He, Fengyu Guo. Quantum-inspired Representation for Long-tail Senses of Word Sense Disambiguation. In AAAI, 2023: 13949-13957.
Junwei Zhang, Ruifang He, Fengyu Guo, et al. Disentangled Representation for Long-tail Senses of Word Sense Disambiguation. In CIKM, 2022: 2569-2579.
Junwei Zhang, Ruifang He, Fengyu Guo. Bi-matching Mechanism to Combat Long-tail Senses of Word Sense Disambiguation. In ECML-PKDD, 2022: 621-637.
Junwei Zhang, Zhao Li, Hao Peng, et al. Feedforward Neural Network Reconstructed from High-order Quantum Systems. In IEEE IJCNN, 2022: 1-8.
Junwei Zhang, Zhao Li, Jianmao Xiao, et al. Neural Network Model Reconstructed from Entangled Quantum States. In IEEE IJCNN, 2022: 1-8.
Junwei Zhang, Zhao Li, Juan Wang, et al. Quantum Entanglement Inspired Correlation Learning for Classification. In PAKDD, 2022: 58-70.
Junwei Zhang, Zhao Li, Ruifang He, et al. Interactive Quantum Classifier Inspired by Quantum Open System Theory. In IEEE IJCNN, 2021: 1-7.
Junwei Zhang, Ruifang He, Zhao Li, et al. Quantum Correlation Revealed by Bell State for Classification Tasks. In IEEE IJCNN, 2021: 1-8.
Junwei Zhang, Yuexian Hou, Zhao Li, et al. Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. In ECAI, 2020: 1650-1657.

Published as Participating Author:

Mengnan Xiao, Ruifang He, Junwei Zhang, et al. Unleashing Pre-trained Masked Language Model Knowledge for Label Signal guided Event Detection. In DASFAA, 2023: 572-581.
Ruifang He, Mengnan Xiao, Jinsong Ma, Junwei Zhang, et al. Dual-Prompting Interaction with Entity Representation Enhancement for Event Argument Extraction. In NLPCC, 2023: 161-172.
Xiang Li, Zhigang Zhao, Dawei Song, Yazhou Zhang, Chunyang Niu, Junwei Zhang, et al. Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition. In BIBM, 2019: 684-687.
Peng Guo, Junwei Zhang, Yuexian Hou, et al. Quantum-inspired DMATT-BiGRU for Conversational Sentiment Analysis. In ICTAI, 2019: 1602-1606.
Tianyuan Niu, Junwei Zhang, Pengqing Zhang. Exploring the Generalization Performance of Neural Networks via Diversity. In ICONIP, 2019: 42-48.

Published as First Author:

Junwei Zhang, Zhao Li. Quantum Contextuality for Training Neural Networks. Chinese Journal of Electronics (CJE), 2020, 29(6): 1178-1184.
贺瑞芳, 张俊伟. 一种融合定义与场景匹配机制的长尾词义消歧方法. 公开号: CN115600604A.
贺瑞芳, 张俊伟. 一种融合解耦表征的长尾词义消歧方法. 公开号: CN115600591A.
贺瑞芳, 张俊伟. 一种适用于小样本的类量子表征学习方法. 申请号: CN202310054079.5.
张俊伟, 李晓林. 一种基于量子干涉模型的词义消歧方法、设备及存储介质. 申请号: CN202410028633.7.
张俊伟, 李晓林. 基于情感极性注意力机制的文本情感分析方法、设备及介质. 申请号: CN202410401510.3.
张俊伟, 李晓林. 基于类量子非同源表征约束的词义消歧方法、设备及介质. 申请号: CN202410401510.3.
张俊伟. 基于定义与场景匹配机制的（长尾）词义消歧平台 V1.0. 登记号: 2023SR1537483.
张俊伟. 基于解耦表征学习方法的（长尾）词义消歧平台 V1.0. 登记号: 2024SR0124723.
张俊伟. 基于类量子表征学习方法的（长尾）词义消歧平台 V1.0. 登记号: 2024SR0215346.
张俊伟. 基于类量子非同源表征约束机制的（长尾）词义消歧平台 V1.0. 登记号: 2024SR0516979.
张俊伟. 基于量子干涉模型对抗词义注释间语义偏差的词义消歧平台 V1.0. 登记号: 2024SR0163048.
张俊伟. 基于情感极性注意力机制的文本情感分析平台 V1.0. 登记号: 2024SR0652074.
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