代表性成果
[1]Shi, Ge,Yunyue Su, Yongliang Ma, MingZhou. “A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction.” In The 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL2023. (领域顶会)
[2]Shi, Ge, Sinuo Deng, Bo Wang, Chong Feng, Yan Zhuang, Xiaomei Wang. “One for All: A Unified Generative Framework for Image Emotion Classification.” IEEE Transactions on Circuits and Systems for Video Technology(2023). (SCI一区)
[3]Deng, Sinuo, Lifang Wu,Ge Shi*, Lehao Xing, Meng Jian, Ye Xiang. “Learning to Compose Diversified Prompts for Image Emotion Classification” Computational Visual Media (2023). (SCI一区)
[4] Deng, Sinuo, Lifang Wu,Ge Shi*, Lehao Xing, Wenjin Hu, Heng Zhang, and Ye Xiang. "Simple but Powerful, a Language-Supervised Method for Image Emotion Classification." IEEE Transactions on Affective Computing (2022). (SCI一区)
[5] Wang, Bo, Yi-Fan Lu, Xiaochi Wei, Xiao Liu,Ge Shi, Changsen Yuan, Heyan huang, Chong Feng, and Xianling Mao. "BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network." In Natural Language Processing and Chinese Computing: 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24–25, 2022, Proceedings, Part II, pp. 192-203. Cham: Springer Nature Switzerland, 2022. (评测冠军)
[6] Liu, Xiao, Heyan Huang,Ge Shi,and Bo Wang. "Dynamic prefix-tuning for generative template-based event extraction." In 60th Annual Meeting of the Association for Computational Linguistics. ACL2022. (CCFA类,领域顶会)
[7] Deng, Sinuo,Ge Shi,Lifang Wu, Lehao Xing, Wenjin Hu, Heng Zhang, and Ye Xiang. "Simemotion: A simple knowledgeable prompt tuning method for image emotion classification." In Database Systems forzz Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part III, pp. 222-229. Cham: Springer International Publishing, 2022. (CCF B类)
[8] Liu, Xiao,Ge Shi,Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, and Lifang Wu. "BIT-event at NLPCC-2021 task 3: subevent identification via adversarial training." In Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part II 10, pp. 400-411. Springer International Publishing, 2021. (评测冠军)
[9] Yang, Ran, Meng Jian,Ge Shi*, Lifang Wu, and Ye Xiang. "Attribute-Level interest matching network for personalized recommendation." In Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29–November 1, 2021, Proceedings, Part II 4, pp. 486-497. Springer International Publishing, 2021. (最佳论文提名)
[10]Shi, Ge,Chong Feng, Wenfu Xu, Lejian Liao, and Heyan Huang. "Penalized multiple distribution selection method for imbalanced data classification." Knowledge-Based Systems 196 (2020): 105833. (SCI一区)