About me

I am currently employed as a lecturer at Huazhong Agricultural University.

My present research focuses on information extraction, low-resource relation extraction, and few-shot learning. I am a member of ACM and IEEE.

I obtained my Ph.D. in engineering from the School of Computer Science, Wuhan University under the guidance of Professor Tieyun Qian. Prior to that, I received my master’s degree in circuits and systems from South China Normal University, supervised by Professor Yun Xue in 2019. During this period, I was awarded a scholarship by the school due to my outstanding performance, which enabled me to visit and study at the University of Montreal in Canada under the guidance of Professor Jianyun Nie. In 2016, I completed my BS degree in information management and information system from Guangdong Medical University.

Publication

1. Adversarial multi-teacher distillation for semi-supervised relation extraction

   Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou

   TNNLS 2023; code | paper

2. Graph-based Model Generation for Few-Shot Relation Extraction

   Wanli Li, Tieyun Qian

   EMNLP 2022; code | paper

3. From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction

   Wanli Li, Tieyun Qian

   arxiv preprint 2021; code | paper

4. Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction

   Wanli Li, Tieyun Qian, Ming Zhong, Xu Chen

   TNNLS 2022 (CCF-B) | code | paper

5. Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction

   Wanli Li, Tieyun Qian, Xu Chen, Kejian Tang, Shaohui Zhan, Tao Zhan

   IJCNN 2021 (CCF-c) | code | paper