\n
Longyi Ye<\/a>,\u00a0Huaping Zhang: LLMProto: A Hardware-Efficient Finetuning Model for Few-Shot Relation Extraction with Large Language Model.\u00a0 ICASSP\u00a02025<\/a>:\u00a01-5<\/div>\n<\/article>\n
R. Yan, H. Zhang*, W. Silamu and A. Hamdulla, “Unsupervised word Segmentation Based on Word Influence,”\u00a0ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)<\/em>, Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109\/ICASSP49357.2023.10096718. (\u4fe1\u53f7\u5904\u7406\u56fd\u9645\u9876\u4f1a)<\/p>\n
Wenyao Cui, Jiahao Cai, Baohua Zhang, Yongyi Huang, Huaping Zhang*, “BRIDGING THE GAP: A SELF-LEARNING MODEL USING IMPLICIT KNOWLEDGE FOR CHINESE SPELLING CORRECTION”\u00a0ICASSP 2024 – 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)<\/em>, Seoul, Korea,\u00a0 2024, pp. 1-5, doi:\u00a0 \u00a0( \u4fe1\u53f7\u5904\u7406\u56fd\u9645\u9876\u4f1a)<\/p>\n
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Geleta Negasa Binegde, Huaping Zhang,Exploring cultural commonsense in multilingual large language models: A survey,Information Systems,Volume 138,2026,102649,ISSN 0306-4379,https:\/\/doi.org\/10.1016\/j.is.2025.102649.<\/a><\/div>\n
\u00a0<\/div>\n<\/article>\n
Brahimi, Nihad, Huaping Zhang, and Zahid Razzaq. 2025. “Quantum-Inspired Spatio-Temporal Inference Network for Sustainable Car-Sharing Demand Prediction”\u00a0Sustainability<\/em>\u00a017, no. 11: 4987. https:\/\/doi.org\/10.3390\/su17114987<\/p>\n
Brahimi, N.; Zhang, H.; Zaidi, S.D.A.; Dai, L. A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction.\u00a0Sensors<\/em>\u00a02024<\/b>,\u00a024<\/em>, 1266. https:\/\/doi.org\/10.3390\/s24041266<\/a>\u00a0 ( SCI indexed, JCR Q2,\u4e2d\u79d1\u9662\u533a3\u533a Impactor Factor: 3.9)<\/span><\/p>\n
Zhang B, Zhang H*, Shang J and Cai J (2022) An Augmented Neural Network for Sentiment Analysis Using Grammar<\/a>.\u00a0Front. Neurorobot.<\/i> 16:897402. doi: 10.3389\/fnbot.2022.897402 ( SCI indexed, JCR Q2,\u4e2d\u79d1\u9662\u533a3\u533a Impactor Factor: 3.493)<\/span><\/p>\n
Li, L.H., Zhang, H.P., Li, C.J., et al.<\/span>: Evaluation on ChatGPT for Chinese Language Understanding<\/a>. Data Intelligence\u00a0<\/span>5(4) (2023).1-19 doi: https:\/\/doi.org\/10.1162\/dint_a_00232\u00a0 (SCI \u4e09\u533a)<\/p>\n
A. Khan, N. Boudjellal, Huaping Zhang*, A. Ahmad, M. Khan, From Social Media to Ballot Box: Leveraging Location-Aware Sentiment Analysis for Election Predictions<\/a>, Computers, Materials & Continua. 2023. https:\/\/doi.org\/10.32604\/cmc.2023.44403. (SCIE) .
A. Khan, Huaping Zhang*, N. Boudjellal, A. Ahmad, M. Khan, Improving Sentiment Analysis in Election-Based Conversations on Twitter with ElecBERT Language Model<\/a>, Computers, Materials & Continua. 2023. https:\/\/doi.org\/10.32604\/cmc.2023.041520. (SCIE)<\/p>\n
Yang, Z., Zhang, H., Shang, J., Wushour, S. (2022). An Enhanced New Word Identification Approach Using Bilingual Alignment. In: Lu, W., Huang, S., Hong, Y., Zhou, X. (eds) Natural Language Processing and Chinese Computing. NLPCC 2022. Lecture Notes in Computer Science(), vol 13551. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-17120-8_8
Kang, K., Zhang, H., Li, Y., Luo, X., Wushour, S. (2022). Automatic Academic Paper Rating Based on?Modularized Hierarchical Attention Network. In: Lu, W., Huang, S., Hong, Y., Zhou, X. (eds) Natural Language Processing and Chinese Computing. NLPCC 2022. Lecture Notes in Computer Science(), vol 13551. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-17120-8_52<\/span><\/p>\n
\u5f20\u534e\u5e73, \u674e\u6797\u7ff0, \u674e\u6625\u9526.\u00a0ChatGPT\u4e2d\u6587\u6027\u80fd\u6d4b\u8bc4\u4e0e\u98ce\u9669\u5e94\u5bf9*[J]. \u6570\u636e\u5206\u6790\u4e0e\u77e5\u8bc6\u53d1\u73b0, 2023, 0(0): 1-10 doi:10.11925\/infotech.2096-3467.2023.0214<\/a><\/p>\n
\u5f20\u534e\u5e73, \u674e\u6797\u7ff0, \u674e\u6625\u9526.\u00a0ChatGPT\u4e2d\u6587\u7406\u89e3\u80fd\u529b\u6d4b\u8bc4\u4e0e\u98ce\u9669\u5e94\u5bf9\u7b56\u7565\u7814\u7a76*[J]. \u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u901a\u8baf, 2023, 13(5): 46-52\u00a0<\/p>\n
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Brahimi, Nihad, Huaping Zhang, and Zahid Razzaq. 2025. “Quantum-Inspired Spatio-Temporal Inference Network for Sustainable Car-Sharing Demand Prediction”\u00a0Sustainability\u00a017, no. 11: 4987. https:\/\/doi.org\/10.3390\/su17114987<\/a><\/div>\n
Brahimi, N., Zhang, H., & Razzaq, Z. (2025). Explainable Spatio-Temporal Inference Network for Car-Sharing Demand Prediction.\u00a0ISPRS International Journal of Geo-Information,\u00a014(4), 163. https:\/\/doi.org\/10.3390\/ijgi14040163<\/a><\/div>\n<\/article>\n
Nihad Brahimi, Huaping Zhang*, Lin Dai, Jianzi Zhang, “<\/span>Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning<\/span><\/a>“,\u00a0<\/span>Complexity<\/i>, vol. 2022, Article ID 8843000, 20 pages, 2022. https:\/\/doi.org\/10.1155\/2022\/8843000 ( SCI indexed, JCR Q1,\u4e2d\u79d1\u9662\u533a3\u533a Impactor Factor: 2.833)<\/span><\/p>\n
Asif Khan, Huaping Zhang*<\/strong>, Nada Boudjellal, Arshad Ahmad, Jianyun Shang, Lin Dai, Bashir Hayat, “Election Prediction on Twitter: A Systematic Mapping Study<\/span><\/a>“,\u00a0Complexity<\/i>, vol. 2021, Article ID 5565434, 27 pages, 2021. https:\/\/doi.org\/10.1155\/2021\/5565434( SCI indexed, JCR Q1,\u4e2d\u79d1\u9662\u533a3\u533a Impactor Factor: 2.833<\/span>)<\/p>\n
Nada Boudjellal, Huaping Zhang*<\/strong>, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang, Lin Dai,\u00a0“ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition”<\/a>,\u00a0Complexity<\/i>, vol. 2021, Article ID 6633213, 6 pages, 2021. https:\/\/doi.org\/10.1155\/2021\/6633213 ( SCI indexed, JCR Q1,\u4e2d\u79d1\u9662\u533a2\u533a Impactor Factor: 2.462)<\/p>\n
Nada Boudjellal, Huaping Zhang*<\/strong>, Asif Khan, Arshad Ahmad, Rashid Naseem, Lin Dai, “A Silver Standard Biomedical Corpus for Arabic Language<\/a>“,\u00a0Complexity<\/i>, vol. 2020, Article ID 8896659, 7 pages, 2020. https:\/\/doi.org\/10.1155\/2020\/8896659 ( SCI indexed, JCR Q1,\u4e2d\u79d1\u9662\u533a2\u533a Impactor Factor: 2.833<\/span>)<\/p>\n
Asif Khan, Huaping Zhang*<\/strong>(Corresponding Author), Jianyun Shang, Nada Boudjellal, Arshad Ahmad, Asmat Ali, Lin Dai, “Predicting Politician\u2019s Supporters\u2019 Network on Twitter Using Social Network Analysis and Semantic Analysis<\/a>“,\u00a0Scientific Programming<\/i>, vol. 2020, Article ID 9353120, 17 pages, 2020. https:\/\/doi.org\/10.1155\/2020\/9353120 \uff08SCI indexed, JCR Q2, Impactor 0.963\uff09<\/p>\n
Nada Boudjellal, Huaping Zhang*<\/strong>(Corresponding Author), Asif Khan, Arshad Ahmad, “Biomedical Relation Extraction Using Distant Supervision<\/a>“,\u00a0Scientific Programming<\/i>, vol. 2020, Article ID 8893749, 9 pages, 2020. https:\/\/doi.org\/10.1155\/2020\/8893749\uff08SCI indexed, JCR Q2, Impactor 0.963\uff09<\/p>\n
A. Khan, H. Zhang, N. Boudjellal, B. Hayat, L. Dai, A. Ahmad, A. Al-Hamed, Impact of COVID-19 on Predicting 2020 US Presidential Elections on Social Media, in: International Conference on Information Technology and Applications. 16th ICITA 2022, Springer, Cham, 2023, pp. 163\u2013173. doi: 10.1007\/978-981-19-9331-2_14. (EI\/ISI\/SCOPUS)
A. Khan, H. Zhang, N. Boudjellal, L. Dai, A. Ahmad, J. Shang, P. Haindl, A Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 US Presidential Election as a Use Case, in: Database Expert Syst. Appl. \u2013 33rd DEXA 2022, Springer, Cham, 2022: pp. 32\u201343. http:\/\/doi.org\/10.1007\/978-3-031-14343-4_4. (CCF\/EI\/ISI\/SCOPUS)<\/p>\n
\u5f20\u534e\u5e73,\u5f20\u5b9d\u534e,\u674e\u5fd7\u5f3a, \u6768\u8513\u829d,\u6768\u5b50\u7814\uff0c\u4e25\u82e5\u8c6a.\u57fa\u4e8e\u8bcd\u4e32\u7684\u5c0f\u8bed\u79cd\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u53ca\u8bed\u8a00\u5206\u6790\u6280\u672f[J]. \u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u901a\u8baf, 2022, 3: 16-21.<\/p>\n
\u5f20\u5b9d\u534e, \u5f20\u534e\u5e73, \u5389\u94c1\u5e05, \u5546\u5efa\u4e91. \u57fa\u4e8e\u591a\u8f93\u5165\u6a21\u578b\u53ca\u53e5\u6cd5\u7ed3\u6784\u7684\u4e2d\u6587\u8bc4\u8bba\u60c5\u611f\u5206\u6790\u65b9\u6cd5[J]. \u5927\u6570\u636e, 2021, 7(6): 41-52.<\/p>\n
\u5f20\u534e\u5e73 \u5f20\u82af\u94ed \u5434\u6797\u82b3 \u674e\u660c\u8d6b \u5546\u5efa\u4e91;\u5c0f\u6837\u672c\u77e5\u8bc6\u56fe\u8c31\u7684\u6784\u5efa\u4e0e\u5e94\u7528;\u4eba\u5de5\u667a\u80fd;2020\u5e74\u7b2c2\u671f,p114-126<\/p>\n
Huaping Zhang1, Jun Miao2, Ziyu Liu1, Ian Logan Wesson1, Jianyun Shang1;NLPIR-Parser: Making Chinese and English Semantic Analysis Easier and Complete;15th International Conference on the Statistical Analysis of Textual Data;France\uff0c 2020.8\u00a0<\/p>\n
\u5f20\u534e\u5e73\uff0c\u5546\u5efa\u4e91.NLPIR-Parser\uff1a\u5927\u6570\u636e\u8bed\u4e49\u667a\u80fd\u5206\u6790\u5e73\u53f0<\/a>.\u8bed\u6599\u5e93\u8bed\u8a00\u5b66.2019\u5e74\u7b2c6\u5377\u7b2c1\u671f\uff0c87-104. 2019\u5e749\u6708<\/p>\n
\u5f20\u534e\u5e73\uff0c\u5546\u5efa\u4e91.\u9762\u5411\u793e\u4f1a\u5a92\u4f53\u7684\u5f00\u653e\u9886\u57df\u65b0\u8bcd\u53d1\u73b0.\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5.\u7b2c31\u5377\u7b2c3\u671f\uff0c115-121. 2017\u5e745\u6708
\u5f20\u534e\u5e73\uff0c\u674e\u6052\u8bad\uff0c\u674e\u6e05\u654f. \u60c5\u611f\u8bcd\u53d1\u73b0\u4e0e\u6781\u6027\u6743\u91cd\u81ea\u52a8\u8ba1\u7b97\u7b97\u6cd5\u7814\u7a76.\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5.\u7b2c31\u5377\u7b2c3\u671f\uff0c60-66. 2017\u5e745\u6708<\/p>\n
\u5f20\u534e\u5e73,\u5b59\u68a6\u59dd,\u5f20\u745e\u7426,\u674e\u857e.\u5fae\u535a\u535a\u4e3b\u7684\u7279\u5f81\u4e0e\u884c\u4e3a\u5927\u6570\u636e\u6316\u6398.\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u901a\u8baf.2014.6.p36-p43<\/p>\n
Huaping\u00a0Zhang,Ruiqi\u00a0Zhang,Yanping\u00a0Zhao,Baojun\u00a0Ma;Big\u00a0Data\u00a0Modeling\u00a0and\u00a0Analysis\u00a0of\u00a0Microblog\u00a0Ecosystem;International\u00a0Journal\u00a0of\u00a0Automation\u00a0and\u00a0Computing,2014.11(2)\u00a0p119-127<\/p>\n
Baojun Ma,Huaping Zhao,Guoqing Chen,Yanping Zhao;Investigating Associative Classification for Software Fault Prediction: An Experimental Perspective;Int’l Journal of Software Engineering and Knowledge Engineering,2013\uff08 SCI Indexed\uff09<\/p>\n
Hua-Ping ZHANG, Jian Sun, Bin WANG, Shuo BAI. Computation on Sentence Semantic Distance for Novelty Detection; Chinese Journal of Computer Science and Tech. vol.3, 2005\uff08 SCI Indexed\uff09<\/p>\n
\u5f20\u534e\u5e73,\u5218\u7fa4. \u57fa\u4e8e\u89d2\u8272\u6807\u6ce8\u7684\u4e2d\u56fd\u4eba\u540d\u81ea\u52a8\u8bc6\u522b\u7814\u7a76. \u8ba1\u7b97\u673a\u5b66\u62a5, vol.27, No.1, 2004, pp.85-91\u00a0\u00a0 \u88ab\u5f15\u752831\u6b21
\u5218\u7fa4,\u5f20\u534e\u5e73,\u4fde\u9e3f\u9b41,\u7a0b\u5b66\u65d7. \u57fa\u4e8e\u5c42\u53e0\u9690\u9a6c\u6a21\u578b\u7684\u6c49\u8bed\u8bcd\u6cd5\u5206\u6790; \u8ba1\u7b97\u673a\u7814\u7a76\u4e0e\u53d1\u5c55, 41\u5377, No.8, 2004, pp.1421-pp.1429\u00a0 \u88ab\u5f15\u752843\u6b21
Hua-Ping ZHANG, Qun LIU, Hong-Kui YU, Xue-Qi CHENG, Shuo BAI. Chinese Name Entity Recognition Using Role Model.\u00a0 Special issue “Word Formation and Chinese Language processing” of the International Journal of Computational Linguistics and Chinese Language Processing, vol.8, No.2, 2003, pp. 29-602
\u5f20\u534e\u5e73,\u5218\u7fa4.\u57fa\u4e8eN-\u6700\u77ed\u8def\u5f84\u7684\u4e2d\u6587\u8bcd\u8bed\u7c97\u5206\u6a21\u578b. \u4e2d\u6587\u4fe1\u606f\u5b66\u62a5. 2002.9, Vol.16(5):pp.1-pp.7;\u00a0 \u88ab\u5f15\u752834\u6b21<\/p>\n
\u6559\u5b66\u60c5\u51b5\uff1a<\/strong><\/h2>\n\u7814\u7a76\u751f\u6559\u5b66\uff1a \u5927\u6570\u636e\u5206\u6790\u4e0e\u5e94\u7528<\/a><\/p>\n
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\u6307\u5bfc\u5b66\u672f\u6bd4\u8d5b\u83b7\u5956\u60c5\u51b5<\/p>\n
2023\u5e74 \u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a \u591a\u8bed\u79cd\u56fe\u50cf\u63cf\u8ff0\u751f\u6210\u6d4b\u8bc4\u6bd4\u8d5b\uff0c\u7ef4\u543e\u5c14\u8bed\u5168\u56fd\u7b2c\u4e00\u540d\uff0c\u85cf\u8bed\u7b2c\u4e8c\u540d\uff0c\u8499\u53e4\u8bed\u7b2c\u4e8c\u540d\u3002<\/p>\n
2022\u5e74\u201c\u4e0a\u6d77-\u9999\u6e2f\u8de8\u5b66\u79d1\u793e\u4ea4\u5a92\u4f53\u5206\u6790\u8054\u5408\u8bc4\u6d4b\u201d\uff1a\u201c\u591a\u8bed\u8a00\u8bed\u5883\u4e0b\u7684\u60c5\u611f\u5206\u6790\u8d5b\u9053\u201d\u51b3\u8d5b\u7b2c\u4e00\u540d\u3001\u201c\u9762\u5411\u8bdd\u9898\u7684\u7fa4\u4f53\u60c5\u7eea\u8bc6\u522b\u6bd4\u8d5b\u201d\u51b3\u8d5b\u7b2c\u4e09\u540d\uff1b\u738b\u5f66\u6d69\uff0c\u8521\u4f73\u8c6a\uff0c\u6307\u5bfc\u8001\u5e08\uff1a\u5f20\u534e\u5e73<\/p>\n
\u4e2d\u56fd\u4e2d\u6587\u4fe1\u606f\u5b66\u4f1a \u4e34\u5e8a\u4e8b\u4ef6\u62bd\u53d6\uff0c\u7b2c\u4e00\u540d\uff0c\u5eb7\u94e0\u3001\u5b8b\u82e5\u8bed\u3001\u675c\u4f26\uff1b\u4e2d\u56fd\u5065\u5eb7\u4fe1\u606f\u5904\u7406\u4f1a\u8bae(CHIP2021)\uff1b\u6307\u5bfc\u8001\u5e08\uff1a\u5f20\u534e\u5e73\u3001\u90ed\u5b87\u822a<\/p>\n
2022\u5e74\u4e2d\u56fd\u5de5\u4e1aAPP\u7ade\u8d5b\u4e09\u7b49\u5956 \u6bd4\u7279\u79d8\u4e66\uff0c\u6c64\u6cfd\u9633\uff0c\u674e\u80b2\u9716\u7b49\uff0c\u6307\u5bfc\u8001\u5e08\uff1a\u5f20\u534e\u5e73<\/p>\n
2021\u5e74\u795e\u5dde\u4fe1\u606f\u6781\u5ba2\u5927\u8d5b\uff0cNLP\u7b97\u6cd5\u5e94\u7528\u8d5b\u9053\u7b2c\u4e8c\u540d\uff1b\u5eb7\u94e0\uff0c\u6768\u5b50\u7814\uff1b\u6307\u5bfc\u8001\u5e08\uff1a \u5f20\u534e\u5e73\uff0c\u674e\u7389\u5c97
2021\u5e74\uff0c\u7b2c\u4e09\u5c4a\u4e2d\u56fdAI+\u521b\u65b0\u521b\u4e1a\u5927\u8d5b\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u521b\u65b0\u5927\u8d5b\u4e2d\u6587\u6587\u672c\u7ea0\u9519\u6bd4\u8d5b\u4e09\u7b49\u5956\uff08\u5168\u56fd\u6392\u540d\u7b2c\u56db\uff09\uff1b\u8521\u4f73\u8c6a\u3001\u8c0c\u7acb\u51e4\u3001\u96f7\u6c9b\u53ef\uff1b\u6307\u5bfc\u8001\u5e08\uff1a\u5f20\u534e\u5e73\uff0c\u5546\u5efa\u4e91<\/p>\n
\u4e3b\u6301\u7684\u79d1\u7814\u8bfe\u9898\uff1a<\/strong><\/h2>\n
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\u57fa\u4e8e\u4ea4\u6613\u884c\u4e3a\u7279\u5f81\u7684\u503a\u5238\u6295\u8d44\u4eba\u957f\u77ed\u671f\u5168\u606f\u753b\u50cf\uff1b \u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bfe\u9898\uff082024YFC3308101\uff09<\/span>; 2025.1-2028.1;350\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73\u00a0<\/p>\n
\u57fa\u4e8e\u591a\u8bed\u77e5\u8bc6\u4e0e\u5c0f\u6837\u672c\u5b66\u4e60\u7684\u5c0f\u8bed\u79cd\u673a\u5668\u7ffb\u8bd1\u4e0e\u5185\u5bb9\u751f\u6210\u6280\u672f<\/span>\uff1b \u57fa\u7840\u52a0\u5f3a\u8ba1\u5212\u6280\u672f\u9886\u57df\u57fa\u91d1\uff082021-JCJQ-JJ-0059\uff09<\/span>; 2021.10-2024.10;200\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u914d\u7f6e\u5b89\u5168\uff1b\u521b\u65b0\u7279\u533a\u9879\u76ee; 2021.11-2023.11;300\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u57fa\u4e8e\u8bed\u8a00\u9884\u8bad\u7ec3\u6a21\u578b\u4e0e\u9886\u57df\u77e5\u8bc6\u7684\u4e2d\u6587\u6587\u672c\u878d\u5408\u6821\u5bf9\u7b97\u6cd5\u7814\u7a76\uff1b\u5317\u4eac\u5e02\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee(4212026); 2021.1-2024.12;20\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u6587\u672c\u751f\u6210\u9884\u7814\u8bfe\u9898\uff1bZF\u6f14\u793a\u9a8c\u8bc1; 2020.7-2021.12; 897\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\n
\n
\u8bed\u4e49\u4e3b\u9898\u4e0e\u793e\u4ea4\u5173\u7cfb\u878d\u5408\u7684\u7279\u5b9a\u7fa4\u4f53\u53d1\u73b0\u5173\u952e\u6280\u672f\u7814\u7a76\uff1b\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee(61772075); 2018.1-2021.12;61\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/span><\/p>\n<\/div>\n
\u9762\u5411\u4e92\u8054\u7f51\u4fe1\u606f\u7684\u53f8\u6cd5\u8206\u60c5\u76d1\u6d4b\u4e0e\u5206\u7ea7\u9884\u8b66\u6280\u672f\u7814\u7a76\u53ca\u7cfb\u7edf\u7814\u53d1 2018YFC0832304 \u201c\u516c\u5171\u5b89\u5168\u98ce\u9669\u9632\u63a7\u4e0e\u5e94\u6025\u6280\u672f\u88c5\u5907\u201d\u91cd\u70b9\u4e13\u9879\uff08\u53f8\u6cd5\u4e13\u9898\u4efb\u52a1\uff09 121<\/div>\n
\u00a0<\/div>\n<\/div>\n
\n
\u65e5\u5fd7\u5206\u6790\u4e0e\u7528\u6237\u753b\u50cf* \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 70 2016.6-2017.5 \u8bfe\u9898\u8d1f\u8d23\u4eba 2016A83<\/div>\n
\u4e2d\u56fd\u4eba\u6c11\u94f6\u884c\u5f81\u4fe1\u4e2d\u5fc3\u4e92\u8054\u7f51\u516c\u5171\u4fe1\u606f\u81ea\u52a8\u6293\u53d6\u8bfe\u9898\u7814\u7a76\u670d\u52a1\u4e8c\u6b21\u91c7\u8d2d\u9879\u76ee 2015.5-10 \u8d1f\u8d23\u4eba
\u6587\u672c\u6316\u6398\u5173\u952e\u6280\u672f* \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 80 2014.11-2015.11 \u8bfe\u9898\u8d1f\u8d23\u4eba 2014A10 \u793e\u4ea4\u7f51\u7edc\u5206\u6790\u53ca\u4fe1\u606f\u4f20\u64ad\u7406\u8bba\u5728\u8206\u60c5\u9884\u8b66\u65b9\u9762\u7684\u793a\u8303\u9a8c\u8bc1\u00a0\u56fd\u5bb6973\u91cd\u70b9\u57fa\u7840\u7814\u7a76\u53d1\u5c55\u8ba1\u5212\u00a096\u00a02013.1-2017.12\u00a0\u5b50\u8bfe\u9898\u8d1f\u8d23\u4eba\uff1a\u5f20\u534e\u5e73\u00a02013CB329606
\u57fa\u4e8e\u4e3b\u4f53\u4e2a\u6027\u5316\u7684\u5fae\u535a\u60c5\u611f\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76\u00a0\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee 84\u4e07\u00a02013.1-2016.12 \u57fa\u91d1\u53f7\uff1a61272362 \u8bfe\u9898\u8d1f\u8d23\u4eba\uff1a\u5f20\u534e\u5e73
\u65b0\u7586\u7ef4\u6587\u8bed\u8a00\u7f51\u7edc\u8206\u60c5\u76d1\u6d4b\u9884\u8b66\u7cfb\u7edf\u5f00\u53d1\u4e0e\u5e94\u7528 \u65b0\u7586\u81ea\u6cbb\u533a\u79d1\u6280\u652f\u6491\u8ba1\u5212\u8bfe\u9898 2012.1-2013.12 2\u8054\u5408\u7533\u8bf7\u5355\u4f4d\u8d1f\u8d23\u4eba
\u4e91\u8ba1\u7b97\u5b89\u5168\u9690\u60a3\u5206\u6790\u4e0e\u6218\u7565\u5bf9\u7b56\u7814\u7a76\u00a0\u4e2d\u56fd\u4fe1\u606f\u5b89\u5168\u8bc4\u6d4b\u4e2d\u5fc3\u00a02010.11-2011.11\u00a01\u4e3b\u6301
\u79d1\u6280\u9879\u76ee\u5e93\u6784\u5efa\u4e0e\u6316\u6398\u7cfb\u7edf\u00a0\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u4fe1\u606f\u7814\u7a76\u6240\u00a02010.11-2011.11\u00a01\u4e3b\u6301
\u57fa\u4e8e\u65f6\u7a7a\u5206\u6790\u7684\u6c14\u8c61\u516c\u62a5\u81ea\u52a8\u751f\u6210\u00a0\u56fd\u5bb6\u6c14\u8c61\u5c40\u00a02010.9-2011.9\u00a01\u4e3b\u6301
\u4e2d\u56fd\u90ae\u653f\u5730\u5740\u641c\u7d22\u5f15\u64ce\u7cfb\u7edf\u00a0\u4e2d\u56fd\u90ae\u653f\u96c6\u56e2\u00a02011.1-2011.3\u00a01\u4e3b\u6301
\u7f51\u7edc\u8bdd\u9898\u7684\u53d1\u73b0\u3001\u4f20\u64ad\u53ca\u52a8\u6001\u6f14\u5316\u7279\u5f81\u5206\u6790\u6280\u672f\u00a0\u56fd\u5bb6863\u8ba1\u5212\u00a02007.9-2009.7\u00a01\u4e3b\u6301
\u57fa\u4e8e\u6d88\u606f\u7684\u70ed\u70b9\u53d1\u73b0\u4e0e\u4fe1\u606f\u8ffd\u8e2a*\u00a0\u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212\u00a02005.11-2006.11\u00a01\u4e3b\u6301
\u8f85\u52a9\u5206\u6790\u7cfb\u7edf*\u00a0\u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212\u00a02007.10-2008.4\u00a01\u4e3b\u6301
\u9762\u5411\u70ed\u70b9\u8bdd\u9898\u53d1\u73b0\u7cfb\u7edf*\u00a0\u5de5\u4fe1\u90e8\u00a02008.12-2009.5\u00a01\u4e3b\u6301
**\u7684\u8206\u60c5**\u7814\u7a76*\u00a0\u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212\u00a02008.11-2009.10\u00a02\u526f\u7ec4\u957f
\u865a\u62df\u8ba1\u7b97\u73af\u5883\u4e0b\u7684\u7f51\u7edc\u8206\u60c5\u81ea\u9002\u5e94\u7cfb\u7edf\u7814\u7a76*\u00a0\u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212\u00a02008.11-2009.11\u00a02\u526f\u7ec4\u957f
\u9762\u5411\u4e92\u8054\u7f51\u7684\u53d1\u73b0\u7cfb\u7edf*\u00a0\u5de5\u4fe1\u90e8\u00a02008.6-2009.5\u00a01\u4e3b\u6301
\u4e2d\u56fd\u8bc1\u76d1\u4f1a\u7f51\u7edc\u4fe1\u606f\u76d1\u63a7\u7cfb\u7edf\u00a0\u4e2d\u56fd\u8bc1\u76d1\u4f1a\u00a02008.11-2009.6\u00a01\u4e3b\u6301
\u4e91\u8ba1\u7b97\u5b89\u5168\u6218\u7565\u7814\u7a76\u00a0\u5b89\u5168\u90e8\u00a02010.11-2011.11\u00a01\u4e3b\u6301
\u793e\u4f1a\u8206\u60c5\u5206\u6790\u673a\u5236\u7814\u7a76\u00a02006\u6240\u77e5\u8bc6\u521b\u65b0\u57fa\u91d1\u00a02006.6-2007.6\u00a01\u4e3b\u6301
\u9762\u5411\u8bc1\u5238\u5e02\u573a\u7684\u8206\u60c5\u52a8\u6001\u5206\u6790\u00a0\u4f18\u79c0\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\u3001\u9662\u957f\u5956\u83b7\u5f97\u8005\u79d1\u7814\u542f\u52a8\u4e13\u9879\u8d44\u91d1\u00a02006.07\uff0d2007.6\u00a01\u4e3b\u6301
\u4e0a\u5e02\u516c\u53f8\u5546\u60c5\u6316\u6398\u7cfb\u7edf\u5f00\u53d1\u5e94\u7528\u00a02007\u8ba1\u7b97\u6240\u6240\u77e5\u8bc6\u521b\u65b0\u57fa\u91d1\u767e\u661f\u8ba1\u5212\u00a02007.11-2008.10\u00a01\u4e3b\u6301
\u57fa\u4e8e\u5927\u89c4\u6a21\u8ba1\u7b97\u5e73\u53f0\u7684\u4e92\u8054\u7f51\u6587\u672c\u4fe1\u606f\u641c\u7d22\u5f15\u64ce\u7cfb\u7edf\u00a0\u4e2d\u56fd\u79fb\u52a8\u7814\u7a76\u9662\u00a02008.10-2009.6\u00a01\u4e3b\u6301<\/p>\n
\u00a0<\/pre>\n
\u6307\u5bfc\u5b66\u751f\u60c5\u51b5\uff1a<\/strong><\/h2>\n
\u5b66\u751f\u59d3\u540d\u00a0\u8eab\u4efd\u00a0\u5e74\u4efd\u00a0\u6bd5\u4e1a\u53bb\u5411<\/p>\n
\u5d14\u6587\u8000 \u5317\u4eac\u7406\u5de5\u5927\u5b66 2022 \u7855\u535a\u8fde\u8bfb\uff0c<\/p>\n
\u9ec4\u548f\u4eea \u5317\u4eac\u7406\u5de5\u5927\u5b66 2022 \u7855\u535a\u8fde\u8bfb\uff0c<\/p>\n
\u5f20\u7b11\u8bed \u5317\u4eac\u7406\u5de5\u5927\u5b66 2022 \u7855\u535a\u8fde\u8bfb\uff0c<\/p>\n
\u674e\u6797\u7ff0 \u5317\u4eac\u7406\u5de5\u5927\u5b66 2022 \u7855\u58eb\u5728\u8bfb\uff0c<\/p>\n
\u674e\u6797\u7ff0 \u5317\u4eac\u7406\u5de5\u5927\u5b66 2022 \u7855\u58eb\u5728\u8bfb\uff0c<\/p>\n
Asif Khan \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u535a\u8fde\u8bfb 2018\u00a0\u5728\u8bfb(\u6765\u81ea\u5df4\u57fa\u65af\u5766)\uff0c\u7855\u58eb\u6bd5\u4e1a\u8bba\u6587\uff1aPolitician Supporter Social Network Analysis and Prediction on Twitter<\/p>\n
\u5f20\u5b9d\u534e \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb\u00a02018 \u7855\u535a\u58eb\u5728\u8bfb\uff0c\u7855\u58eb\u6bd5\u4e1a\u9898\u76ee\uff1a\u57fa\u4e8e\u5c42\u6b21\u7ed3\u6784\u7684\u60c5\u611f\u8bed\u4e49\u5355\u5143\u8868\u793a\u53ca\u5206\u6790\u65b9\u6cd5<\/p>\n
\u8521\u4f73\u8c6a \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2020<\/p>\n
Nihad \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u535a\u58eb 2018 \u5728\u8bfb(\u6765\u81ea\u963f\u5c14\u53ca\u5229\u4e9a)<\/p>\n
IIham Nugraha \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u535a\u58eb 2018 \u5728\u8bfb(\u6765\u81ea\u5370\u5c3c)<\/p>\n
Nada Boudjellal \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u535a\u58eb 2017 \u5165\u5b66\uff0c2022\u5e746\u6708\u6bd5\u4e1a\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1aRESEARCH ON BIOMEDICAL KNOWLEDGE EXTRACTION FOR ARABIC LANGUAGE\uff1b\u963f\u62c9\u4f2f\u8bed\u751f\u7269\u533b\u5b66\u77e5\u8bc6\u62bd\u53d6\u7814\u7a76\uff0c\u8054\u5408\u6234\u6797\u8001\u5e08\u6307\u5bfc(\u6765\u81ea\u963f\u5c14\u53ca\u5229\u4e9a)<\/p>\n
\u674e\u660c\u8d6b \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2019\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u5165\u804c\u4e2d\u56fd\u7535\u4fe1\u5929\u7ffc\u4e91\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u57fa\u4e8e\u56fe\u7ed3\u6784\u4e0e\u8bed\u4e49\u7684\u8de8\u8bed\u8a00\u5b9e\u4f53\u5bf9\u9f50\u4f18\u5316\u7b97\u6cd5\u7814\u7a76<\/p>\n
\u5f20\u82af\u94ed \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2019\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u5165\u804c \u77e5\u4e4e\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u5c0f\u6837\u672c\u6761\u4ef6\u4e0b\u77e5\u8bc6\u62bd\u53d6\u7b97\u6cd5\u7814\u7a76\uff0cKnowledge Extraction Algorithm Research in Few-shot Scenario<\/p>\n
\u5f20\u96bd\u9a70 \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2020\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u5165\u804c\u963f\u91cc\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u57fa\u4e8e\u591a\u53e5\u538b\u7f29\u7684\u79d1\u6280\u60c5\u62a5\u81ea\u52a8\u751f\u6210\u7b97\u6cd5\u7814\u7a76\u4e0e\u5e94\u7528\uff0c\u8054\u5408\u5546\u5efa\u4e91\u8001\u5e08\u6307\u5bfc<\/p>\n
\u675c\u535a\u8f69 \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2020\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u5165\u804c\u4e2d\u56fd\u94f6\u884c\u4fe1\u606f\u4e2d\u5fc3\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u9762\u5411\u793e\u4f1a\u6cbb\u7406\u7684\u6587\u672c\u6807\u6ce8\u53ca\u5206\u7c7b\u6280\u672f\u7814\u7a76\u4e0e\u5e94\u7528\uff0c\u8054\u5408\u5546\u5efa\u4e91\u8001\u5e08\u6307\u5bfc<\/p>\n
\u5b59\u5a67\u5a67 \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2020\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u5165\u804c\u7f8e\u56e2\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u57fa\u4e8e\u591a\u6a21\u6001\u7684\u4eba\u7269\u6d3b\u52a8\u8ddf\u8e2a\u5173\u952e\u6280\u672f\u7814\u7a76\uff0c\u8054\u5408\u5546\u5efa\u4e91\u8001\u5e08\u6307\u5bfc<\/p>\n
\u5f20\u5b50\u70c1\uff0c\u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2020\uff0c2022\u5e746\u6708\u6bd5\u4e1a\u5165\u804c\u4e2d\u56fd\u94f6\u884c\u4fe1\u606f\u4e2d\u5fc3\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u57fa\u4e8e\u5883\u5916\u65b0\u95fb\u7684\u91d1\u878d\u666f\u6c14\u6307\u6570\u6a21\u578b\u6784\u5efa\u4e0e\u5e94\u7528\uff0c\u8054\u5408\u5546\u5efa\u4e91\u8001\u5e08\u6307\u5bfc<\/p>\n
\u59dc\u5e86\u9e3f \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2018 2021\u5e74\u6bd5\u4e1a\u5165\u804c\u9e4f\u626c\u57fa\u91d1\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u57fa\u4e8e\u6f5c\u5728\u8bed\u4e49\u6316\u6398\u7684\u6587\u672c\u5206\u7c7b\u6280\u672f\u7684\u7814\u7a76
\u5218\u5b50\u5b87 \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2018 2021\u5e74\u6bd5\u4e1a\u5feb\u624b\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u77e5\u8bc6\u56fe\u8c31\u4e0e\u8bed\u4e49\u7279\u5f81\u7ed3\u5408\u7684\u4e2d\u6587\u8bed\u4e49\u6d88\u6b67\u5173\u952e\u6280\u672f\u7814\u7a76
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Ian Logan Wesson, \u7855\u58eb\uff0c2018\u7ea7\uff0c2020\u5e74\u6bd5\u4e1a\uff0c\u8bba\u6587\uff08A Novel Multimodal Model for Event Detection in Videos\uff09,\u6765\u81ea\u7f8e\u56fd\u4f5b\u7f57\u91cc\u8fbe\u5dde
G. Sheryta Yvette, \u7855\u58eb\uff0c2018\u7ea7\uff0c2020\u5e74\u6bd5\u4e1a\u56de\u56fd\uff0c\u8bba\u6587\uff08Ewe Language Processing using Transfer Learning\uff09,\u6765\u81ea\u591a\u54e5
\u4e07\u91d1\u6676 \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2017\uff0c2020\u5e74\u6bd5\u4e1a\u5165\u804c\u822a\u5929\u8f6f\u4ef6\uff0c\u6bd5\u4e1a\u8bba\u6587\uff08\u57fa\u4e8e\u9886\u57df\u77e5\u8bc6\u7684\u6587\u672c\u6821\u5bf9\u5173\u952e\u6280\u672f\u7814\u7a76\uff09<\/p>\n
\u6768\u8000\u98de \u5317\u4eac\u4fe1\u606f\u79d1\u6280\u5927\u5b66\uff0c\u5317\u4eac\u7406\u5de5\u5927\u5b66\u5ba2\u5ea7\u7855\u58eb 2017\uff0c2020\u5e74\u6bd5\u4e1a\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u795e\u7ecf\u673a\u5668\u7ffb\u8bd1\u7684\u8bcd\u7d20\u7279\u5f81\u878d\u5408<\/p>\n
Iram Ishtiaq \u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2016\uff0c2018\u5e74\u6bd5\u4e1a\u5165\u804c\u4eba\u5927\u9644\u4e2d\uff08\u5df4\u57fa\u65af\u5766\uff09\uff0c\u6bd5\u4e1a\u8bba\u6587: Named Entity Recognition in Personality Profiling<\/strong><\/p>\n
Ahmad Mafazi Damanhuri\uff1a\u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2016\uff0c2018\u5e74 \u6bd5\u4e1a\u56de\u56fd\u4efb\u6559(\u5370\u5c3c), \u6bd5\u4e1a\u8bba\u6587: PEOPLE PROFILING AND MODELING REPUTATION COMPUTATION BASED ON SENTIMENT ANALYSIS<\/p>\n
\u9ad8\u8398\u00a0 \u00a0\u5317\u4eac\u7406\u5de5\u5927\u5b66 \u7855\u58eb 2016 \uff0c2019\u5e74\u6bd5\u4e1a\u5317\u5927\u8bfb\u535a\uff0c\u6bd5\u4e1a\u8bba\u6587\uff1a\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u6587\u672c\u8868\u793a\u4e0e\u5e94\u7528\u7814\u7a76
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\u5b66\u672f\u8bba\u6587\u8bba\u8457\uff1a<\/strong><\/h2>\n
\u3010\u51fa\u7248\u7684\u4e13\uff08\u8bd1\uff09\u8457\u3011<\/h3>\n
Huaping Zhang, Jianyun Shang. Natural Language Processing and Applications (2025), https:\/\/doi.org\/10.1007\/978-981-97-9739-4<\/a>, Springer(<\/p>\n
\n
ISBN: 978-981-97-9738-7)<\/span><\/div>\n<\/article>\n
\u5f20\u534e\u5e73,\u5546\u5efa\u4e91,\u6c64\u6cfd\u9633\uff0c\u96f7\u6c9b\u94b6\u8457 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u5e94\u7528\uff082023\uff09,\u6e05\u534e\u5927\u5b66\u51fa\u7248\u793e\uff08ISBN:978-7-302-64626-6\uff09<\/p>\n
\u5f20\u534e\u5e73,\u5546\u5efa\u4e91\uff0c\u5218\u5146\u53cb\u7f16\u8457 \u5927\u6570\u636e\u667a\u80fd\u5206\u6790\uff082019\uff09,\u6e05\u534e\u5927\u5b66\u51fa\u7248\u793e\uff08ISBN:978-7-302-53117-3\uff09
\u5f20\u534e\u5e73,\u5546\u5efa\u4e91\uff0c\u767d\u7855\uff0c\u6bb5\u6c38\u671d\u7b49\u8457 \u5927\u6570\u636e\u5927\u5bb6\u8c08\uff082017.1\uff09,\u7535\u5b50\u5de5\u4e1a\u51fa\u7248\u793e\uff08ISBN:978-7-121-30181-0\uff09
\u5f20\u534e\u5e73,\u9ad8\u51ef\uff0c\u9ec4\u6cb3\u71d5,\u8d75\u71d5\u5e73.\u5927\u6570\u636e\u641c\u7d22\u4e0e\u6316\u6398.\u79d1\u5b66\u51fa\u7248\u793e.2014\u51fa\u7248\uff08ISBN:978-7-03-040318-6\uff09
\u5f20\u534e\u5e73,\u674e\u6052\u8bad,\u5218\u6cbb\u534e.\u4fe1\u606f\u68c0\u7d22\u7b97\u6cd5\u4e0e\u63a2\u7d22\u6cd5(\u8bd1\u8457)\uff0c\u4eba\u6c11\u90ae\u7535\u51fa\u7248\u793e\uff0c 2010\u5e749\u6708\uff08ISBN:978-7-115-23575-6\uff09
\u5218\u7fa4,\u5f20\u534e\u5e73,\u9a86\u536b\u534e,\u5b59\u5065\uff0c\u81ea\u7136\u8bed\u8a00\u7406\u89e3(\u8bd1\u8457), \u7535\u5b50\u5de5\u4e1a\u51fa\u7248\u793e, 2005\u5e741\u6708(ISBN\uff1a7-121-00755-X)
\u9ad8\u51ef\uff0c\u4ec7\u6676\uff0c\u5f20\u6653\u660e\uff0c\u738b\u4f1f\uff0c \u5f20\u534e\u5e73\uff0c\u4fe1\u606f\u68c0\u7d22\u4e0e\u667a\u80fd\u5904\u7406\uff0c\u56fd\u9632\u5de5\u4e1a\u51fa\u7248\u793e\uff0c2014\u3002<\/p>\n
\u3010\u83b7\u5f97\u7684\u4e13\u5229\u3011<\/h3>\n
\u4e00\u79cd\u57fa\u4e8e\u60c5\u611f\u5c42\u6b21\u4f53\u7cfb\u7684\u60c5\u611f\u8bcd\u5178\u6784\u5efa\u65b9\u6cd5\uff08\u4e13\u5229\u53f7\uff1aZL201911233518.9\uff09\uff0c\u5f20\u5b9d\u534e\uff0c\u5f20\u534e\u5e73\uff0c\u5546\u5efa\u4e91\uff0c2019.12.5 \u5df2\u8f6c\u8ba9<\/p>\n
\u4e00\u79cd\u57fa\u4e8e\u77e5\u8bc6\u56fe\u8c31\u548c\u4e0a\u4e0b\u6587\u8bed\u5883\u7684\u4e2d\u6587\u8bed\u5883\u6d88\u6b67\u65b9\u6cd5\uff08\u4e13\u5229\u53f7\uff1aZL2021 1 0417960.8\uff09\uff0c\u5218\u5b50\u5b87\uff0c\u5f20\u534e\u5e73\uff0c2022.10.14<\/p>\n
\u4e00\u79cd\u83b7\u53d6\u591a\u5c42\u6b21\u4e0a\u4e0b\u6587\u8bed\u4e49\u7684\u6587\u672c\u5206\u7c7b\u65b9\u6cd5\uff08\u4e13\u5229\u53f7\uff1aZL201911246473.9\uff09\uff0c\u59dc\u5e86\u9e3f\uff0c\u5f20\u534e\u5e73\uff0c\u5546\u5efa\u4e91\uff0c2019.12.6<\/p>\n
\u5b8c\u7f8e\u53cc\u6570\u7ec4TRIE\u6811\u8bcd\u5178\u7ba1\u7406\u4e0e\u68c0\u7d22\u65b9\u6cd5(\u4e13\u5229\u53f7\uff1a200510130690.3)\uff0c\u5f20\u534e\u5e73\u3001\u738b\u601d\u529b\uff0c\u7b2c\u4e00\u53d1\u660e\u4eba
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\u5f20\u534e\u5e73\uff0c\u5468\u5efa\u680b\uff0c\u8d75\u71d5\u5e73\uff0c\u5b59\u68a6\u6dd1.\u4e00\u79cd\u7f51\u7edc\u4e2a\u4f53\u6216\u7fa4\u4f53\u4ef7\u503c\u89c2\u81ea\u52a8\u5224\u522b\u65b9\u6cd5.\u4e13\u5229\uff08\u5df2\u7533\u8bf7\u7acb\u9879\uff09
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\u4e00\u79cd\u9762\u5411\u5fae\u535a\u7684\u7591\u4f3c\u6c34\u519b\u53d1\u73b0\u6280\u672f ? \u4e13\u5229\u53f7\uff1a201610371264.7?\u7533\u8bf7\u65e5\uff1a2016.5.30<\/p>\n
\u3010\u83b7\u5f97\u7684\u8f6f\u4ef6\u8457\u4f5c\u6743\u3011<\/h3>\n
[1]\u8ba1\u7b97\u6240\u6c49\u8bed\u8bcd\u6cd5\u5206\u6790\u7cfb\u7edfICTCLAS\uff0c\u8f6f\u4ef6\u767b\u8bb0\u53f7\u4e3a2003SR0087\u3002
[2]\u6c49\u8bed\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u7cfb\u7edf\uff0c\u8f6f\u4ef6\u767b\u8bb0\u53f7\uff1a2004SR00677<\/p>\n
\u3010\u53d1\u8868\u7684\u5176\u4ed6\u8bba\u6587\u3011<\/h3>\n
Ruohao Yan,, Huaping Zhang*,Karl. Research on Uyghur morphological segmentation based on long sequence labeling method,5th International Conference on Signal Processing and Machine Learning (SPML 2022), Dalin China, Aug. 2022 (Accepted)<\/p>\n
Asif Khan, Huaping Zhang*, Nada Boudjellal, Arshad Ahmad, Lin Dai, Jianyun Shang, Philipp Haindl, A Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 US Presidential Election as a Use Case, the 2nd International Workshop on AI System Engineering: Math, Modelling and Software (AISys2022), Vienna, Austria, Aug. 2022 (Accepted)<\/p>\n
\u5eb7\u94e0,\u5b8b\u82e5\u96e8,\u675c\u4f26,\u5f20\u534e\u5e73,\u90ed\u5b87\u822a\uff0c\u9762\u5411\u4e34\u5e8a\u53d1\u73b0\u7684\u590d\u6742\u4fe1\u606f\u62bd\u53d6,\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5,2022(\u5df2\u5f55\u7528)<\/p>\n
\u5f20\u5b9d\u534e\uff0c\u674e\u6069\u6797\uff0c\u5f20\u534e\u5e73\uff0c\u57fa\u4e8e\u5c42\u6b21\u7ed3\u6784\u7684\u60c5\u611f\u5355\u5143\u8868\u793a\u65b9\u6cd5\uff0c\u8ba1\u7b97\u673a\u5de5\u7a0b\u4e0e\u79d1\u5b66.2021.\u00a0<\/p>\n
Linfang Wu, Hua-Ping Zhang, Yaofei Yang and Kai Gao;Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification;12th Asian Conference on Intelligent Information and Database Systems. Thailand;2020.3
Yaofei Yang, Hua-Ping Zhang, Linfang Wu and Yangsen Zhang;Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding;12th Asian Conference on Intelligent Information and Database Systems. Thailand;2020.3<\/p>\n
Yang Y., Li S., Zhang Y., Zhang HP. (2019) Point the Point: Uyghur Morphological Segmentation Using PointerNetwork with GRU. In: Sun M., Huang X., Ji H., Liu Z., Liu Y. (eds) Chinese Computational Linguistics. CCL 2019. Lecture Notes in Computer Science, vol 11856. Springer, Cham \uff08SCI Indexed\uff09<\/p>\n
“Xi Zhang, Hua-Ping Zhang, Lei Zhao:
Reading More Efficiently: Multi-sentence Summarization with a Dual Attention and Copy-Generator Network. In: The Pacific Rim International Conferences on Artificial Intelligence, PRICAI 2018, Nanjing, Jiangsu, China, 28-31 August 2018, (1) 2018: 811-823″
Shen Gao, Huaping Zhang, Kai Gao. A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation[C]. Proceedings of 22nd International Conference on Natural Language & Information Systems(NLDB), Springer LNCS, Li\u00e8ge, Belgium, 21-23 June, 2017, EI Compendex index
Shen Gao, Huaping Zhang, Kai Gao. Text Understanding with a Hybrid Neural Network Based Learning[C]. Proceedings of the 3th International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE), Springer LNCS, Changsha, China, 22-24 September, 2017, EI Compendex index.
SongZe Wu, Huaping Zhang, Chengcheng Xu, Tao Guo. Text Clustering on Short Message by Using Deep Semantic Representation. International Conference on Computational Sciences, Advanced Database and Computing, 2017.
“CHENGCHENG XU, HUAPING ZHANG, BINGBING LU AND SONGZE WU. Local
Community Detection Using Social Relations and Topic Features in Social Networks
[M]. Chinese Computational Linguistics and Natural Language Processing Based on
Naturally Annotated Big Data. Springer, Cham, 2017, 371-383.”
“BINGBING LU, HUAPING ZHANG, BIN LIU AND ZHONGHUA ZHAO. Research on
User Identification Algorithm Based on Massive Multi-site VPN Log [C]. IEEE, International Conference on Communication Technology. IEEE, 2017:1372-1381″<\/p>\n
A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation
News Abridgement Algorithm Based on Word Alignment and Syntactic Parsing[M]\/\/ Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. 2016.<\/p>\n
Qiao Y, Zhang Huaping(*), Yu M, et al. Sina-Weibo Spammer Detection with GBDT [M]\/\/ Social Media Processing. Springer Singapore, 2016.
Yang Qiao,Huaping Zhang*\uff08\u5f20\u534e\u5e73\uff09,.Effective Detecting Microblog Spammers Using Big Data Fusion Algorithm.WorldComp’16,July 25-28,Las Vegas,Nevada,USA<\/p>\n
Jiandong Zhou(\u5468\u5efa\u680b\uff09, Yanping Zhao\uff08\u8d75\u71d5\u5e73\uff09, Huaping Zhang*\uff08\u5f20\u534e\u5e73\uff09. Measuring Emotion Bifurcation Points for Individuals in Social Media[C].the Hawaii International Conference on System Science(\u56fd\u9645\u7cfb\u7edf\u79d1\u5b66\u5e74\u4f1a HICSS’49\uff0c\u7ba1\u7406A\u7c7b\u4f1a\u8bae, EI\u68c0\u7d22), Jan.5-8, 2016, Honolulu, KAUAI, Hawaii USA.2016:1949-1958.<\/p>\n
\u674e\u7136,\u5f20\u534e\u5e73,\u8d75\u71d5\u5e73\uff0c\u5546\u5efa\u4e91.\u57fa\u4e8e\u4e3b\u9898\u6a21\u578b\u4e0e\u4fe1\u606f\u71b5\u7684\u4e2d\u6587\u6587\u6863\u81ea\u52a8\u6458\u8981\u6280\u672f\u7814\u7a76(Automatic Text Summarization Research Based on Topic Model and Information Entropy).\u8ba1\u7b97\u673a\u79d1\u5b66.2014-11<\/p>\n
Kai Gao*, Hua-ping Zhang, Sheng-wang Li, Wei Wang, Jing Qiu;Research on Classification Algorithm and its Application in Cased-Based Reasoning,2014<\/p>\n
\u5f20\u534e\u5e73,\u4ee5\u4e3b\u4f53\u4e3a\u4e2d\u5fc3\u7684\u5fae\u535a\u8ba1\u7b97\u65b9\u6cd5,\u590d\u6742\u7cfb\u7edf\u4e0e\u590d\u6742\u6027\u79d1\u5b66,2012\u5e74\u7b2c\u56db\u671f p84-91<\/p>\n
Hua-Ping\u00a0Zhang,Huan-Ping\u00a0Wu,Jian\u00a0Gao,Yan-Ping\u00a0Zhao,Zhong-Liang\u00a0Lv,Meteorological\u00a0Bulletin\u00a0Automatic\u00a0Generation\u00a0based\u00a0on\u00a0Spatio-Temporal\u00a0Reasoning,In\u00a0Proceedings\u00a0of\u00a02011\u00a0International\u00a0Conference\u00a0on\u00a0Machine\u00a0Learning\u00a0and\u00a0Cybernetics\u00a0in\u00a0Guangxi,\u00a0China,2011.7\uff0cp1927-1931<\/p>\n
Hua-Ping Zhang, Qian Mo,He-Yang Huang,Structured POI data Extraction from Internet News,In Proceedings of the 4th International Universal Communication Symposium (IUCS 2010) in Beijing, China,2010.10\uff0cp115-120(\u7279\u9080\u62a5\u544a)
Hua-Ping ZHANG,Jian GAO,Qian MO, He-Yan HUANG. Incorporating New Words Detection with Chinese Word Segmentation. In Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP 2010).Beijing, China.2010.8 .p249-251.
Hua-Ping ZHANG,Zhi-Hua LIU,Qian MO,He-Yan HUANG. Chinese Personal Name Disambiguation Based on Person Modeling. In Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP 2010).Beijing, China.2010.8 .p374-378<\/p>\n
Hua-Ping Zhang, Hong-Bo Xu, Shuo Bai, Bin Wang, Xue-Qi Cheng. Experiments in TREC 2004 Novelty Track at CAS-ICT. In Proc. of the 13th Text Retrieval Conference, Gaithersburg, Maryland, November, 2004, pp287<\/p>\n
Hua-Ping ZHANG, Qun LIU, Xue-Qi CHENG, Hao Zhang, Hong-Kui Yu. Chinese Lexical Analysis Using Hierarchical Hidden Markov Model, Second SIGHAN workshop affiliated with 41st ACL; Sapporo Japan, July, 2003, pp. 63-70
\u00a0Hua-Ping ZHANG, Hong-Kui Yu, De-Yi Xiong, Qun LIU. HHMM-based Chinese Lexical Analyzer ICTCLAS, Second SIGHAN workshop affiliated with 41th ACL; Sapporo Japan, July, 2003, pp. 184-187
\u00a0Kevin Zhang (Hua-Ping Zhang), Qun Liu, Hao Zhang, Xueqi Cheng. Automatic Recognition of Chinese Unknown Words Based on Role Tagging, First SIGHAN affiliated with 19th COLING, September 2002, pp71-77<\/p>\n<\/div>\n\n\n
<\/p>\n\n\n\n
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