2021-至今 吉林大学人工智能学院 研究员

2019-2021 吉林大学生物与农业工程学院 博士后

2012.09——2018.06    吉林大学计算机科学与技术学院  计算机科学与技术  博士

2008.09——2012.06    吉林大学计算机科学与技术学院  计算机应用技术  硕士

2004.09——2008.06    吉林大学计算机科学与技术学院  计算机科学与技术  学士

中科院先导项目横向课题：条款电子化与加工(2019-2020),95万

中科院先导项目横向课题：文本相似性检测 (2020-2021)，49万

吉林省青年科技成长项目：基于深层语义理解的知识图谱构建及推理（2021-2022），10万

部分代表论文如下：

[1] Y Zhao, Y Guo, X Weng, Y Tian*, W Wang*, Y Chang*. Detoxifying Large Language Models via the Diversity of Toxic Samples. EMNPL, 2025. (清华推荐 A类)

[2] B Cheng, J Lu, Y Tian*, H Zhao, Y Chang*, L Du*. CGMatch: A Different Perspective of Semi-supervised Learning. CVPR, 2025. (CCF A类)

[3] B Wang, J Ma*, Z Yang, R Yang, Y Tian*, Y Chang*. Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. WWW, 2024. (CCF A)

[4] Y Zhao, T Xia, Y Jiang, Y Tian*. Enhancing Inter-Sentence Attention for Semantic Textual Similarity. IPM, 2024. (中科院1区)

[5] M Wen, T Xia, B Liao, Y Tian*. Few-Shot Relation Classification Using Clustering-Based Prototype Modification. KBS, 2023. (中科院1区)

[6] T Xia, Y Wang, Y Tian*, Y Chang*. FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. EMNLP, 2022. (清华推荐 A类)

[7] T Xia, Y Wang, Y Tian*, Y Chang*. Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. WWW,2021. (CCF A类)

[8] Z Wei, J Su, Y Wang, Y Tian* and Y Chang. A Novel Hierarchical Binary Tagging Framework for Relational Triple Extraction. ACL, 2020. (CCF A类)

[9] Y Li, Y Tian*, J Zhang and Y Chang. Learning Signed Network Embedding via Graph Attention. AAAI, 2020. (CCF A类)

[10] Y Tian, W Du, S Cao, Y Wu, N Dong, Y Wang*, Y Xu*. Systematic analyses of glutamine and glutamate metabolisms across different cancer types. Chinese Journal of Cancer, 2017. (中科院1区)

[11] Y Jiang, J Li, X Cao*, Y Tian*, J Yao, X Yu. Positional Relation Contextual Mixing via Optimal Transport for Imbalanced Classification. Machine Learning, 2025. (CCF B 类)

[12] E Yu, W Han, Y Tian*, Y Chang*. A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. COLING, 2020. (CCF B类)

[13] T Xia, B Yu*, K Dang, A Yang, Y Wu*, Y Tian, Y Chang*, J Lin. Rethinking Data Selection at Scale: Random Selection is Almost All You Need. EMNPL, 2025. (CCF A类)

[14] Q Ling, Y Shan, H Liu, Z Zhu, T Long*, W Zhang, Y Tian. Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. ICLR, 2025. (CCF A类)

[15] Q Huang, M Yamada*, Y Tian, D Singh, Y Chang*. GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. TKDE, 2022. (CCF A类)