学术经历：

[1]. 2022-01至今，山东科技大学，学术副教授

[2].  2019-09至2020-10，南洋理工大学 (Nanyang Technological University，NTU)，CSC联合培养博士

[3].  2016-09至2021-10，东北大学，博士

研究方向包括：深度学习、自然语言处理、文本挖掘、信息抽取、情绪分析、大语言模型等

欢迎有一定的英语和数学基础、热爱编程、积极主动、喜欢探索、踏实上进、善于思考、乐观开朗的同学报考我的硕士研究生。

感兴趣的小伙伴请联系xiangjul@sdust.edu.cn  / lixiangju100@163.com。

主持项目：

1.    教育部人文社会科学研究项目-青年项目，基于慕课课程评价的学习者自适应情绪原因分析方法研究，8万，2024.10-2027.9，主持，在研

 2.    青岛市博士后基金项目，社会媒体文本情绪及原因识别关键技术研究，5万，2023.11-2025.10，主持，在研

 3.   省重点实验室开放课题， 面向微博文本的隐式情绪原因分析关键技术研究，3万，2023.11-2025.10，主持，在研

 4.  山东科技大学“菁英计划”项目, 社会媒体文本情绪原因分析方法研究，30万，2022.01-2026.12，主持，在研

部分发表论文：

[1] Dong Yang, Xiangju Li^*, Zhongying Zhao*, Faliang Huang, Kaisong Song. Span-level Emotion-Cause-Category Triplet Extraction via Table-Filling. Expert Systems with Applications 2025 (Online). （中科院一区 SCI， CCF-C）

[2] Xiangju Li, Wei Gao, Shi Feng, Yifei Zhang, Daling Wang. Boundary Detection with BERT for Span-level Emotion Cause Analysis. Association for Computational Linguistics 2021 (ACL 2021):676-682. （自然语言处理顶级会议  CCF-A）

[3] Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq Rayhan Joty. Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021): 3221-3226. （CCF-B）

[4] Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq Rayhan Joty. Span-level Emotion Cause Analysis with Neural Sequence Tagging. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021): 3227-3231. （CCF-B）

[5] Xiangju Li, Shi Feng, Daling Wang, Yifei Zhang. Multi-level Emotion Cause Analysis by Multi-head Attention Based Multi-task Learning. Twentieth China National Conference on Computational Linguistics 2021 (CCL 2021): 2021:77-93. （国内自然原因处理旗舰会议）

[6] Xiangju Li, Shi Feng, Daling Wang, Yifei Zhang. Context-aware Emotion Cause Analysis with Multi-attention-based Neural Network. Knowledge-Based Systems, 2019, 174: 205-218. （中科院一区 SCI，CCF-C）

[7] Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang. A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018) 2018: 4752-4757. （自然语言处理顶级会议， CCF-B）

[8] Hong Zhao, Xiangju Li. A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism. Information Sciences, 2017, 378: 303-316. （中科院一区 SCI， CCF-B）

[9] Xiangju Li, Hong Zhao, William Zhu. An exponent weighted algorithm for minimal cost feature selection. International Journal of Machine Learning and Cybernetics, 2016, 7 (5): 689–698. （中科院二区 SCI）

[10] Xiangju Li, Hong Zhao, William Zhu. A cost sensitive decision tree algorithm with two adaptive mechanisms. Knowledge-Based Systems, 2015, 88: 24-33. （中科院一区 SCI，CCF-C）

[11] Qiang Li, Lei Chen, Xiangju Li, Xiaofeng lv,  Shuyue Xia, Yan Kang. PRF-RW: A progressive random forest-based random walk approach for interactive semiautomated pulmonary lobes segmentation. International Journal of Machine Learning and Cybernetics, 2020, 11(2). （中科院二区 SCI）

[12] Xiangju Li, Shi Feng, Daling Wang, Yifei Zhang. Decision tree method for the NTCIR-13 ECA Task. The 13th NTCIR Conference on Evaluation of Information Access Technologies. 2017.

[13] Hong Zhao, Xiangju Li, Zilong Xu, William Zhu. Cost-sensitive decision tree with probabilistic pruning mechanism. Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015: 81-87.

[14] Qiang Li, Lei Chen, Xiangju Li, Shuyue Xia, Yan Kang. An improved random forests approach for interactive lobar segmentation on emphysema detection. Granular Computing, 2019.

[15] Jia Wei, Shi Feng, Daling Wang, Yifei Zhang, Xiangju Li. Attentional Neural Network for Emotion Detection in Conversations with Speaker Influence Awareness. Natural Language Processing and Chinese Computing 2019 (NLPCC 2019): 287-297.

[16] Zhuojin Liu, Zhongxin Jin, Chaodi Wei, Xiangju Li, Shi Feng. CoEmoCause: A Chinese Fine-grained Emotional Cause Extraction Dataset. International Conference on Web Information Systems and Applications (WISA), 2021: 519-530.