I am a Ph.D. candidate in Research Center for Social Computing and Information Retrieval at Harbin Institute of Technology (HIT, China) since Sept. 2017.

My advisor is Prof. Bing Qin. I am co-supervised by Prof. Yanyan Zhao.

E-mail: jhyuan (at) ir (dot) hit (dot) edu (dot) cn

Find me in [Google Scholar] [Github] [CV]

Papers

• SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection [pdf]
  [code]
  Proceedings of the 29th International Conference on Computational Linguistics, (COLING 2022, full paper)
  Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin
  


• Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. [pdf]
  International Journal of Machine Learning and Cybernetics, Volume 13, pages 2711–2724 (2022), (IJMLC, IF=4.377)
  Jianhua Yuan, Yanyan Zhao, Bing Qin
  


• Knowledge Enhanced Target-aware Stance Detection on Tweets. [pdf]
  Proceedings of the 15th China Conference on Knowledge Graph and Semantic Computing, (CCKS 2021, full paper)
  Xin Zhang, Jianhua Yuan, Yanyan Zhao, Bing Qin
  


• Recent advances in deep learning based sentiment analysis. [pdf]
  Science China Technological Sciences, Volume 63, pages 1947–1970 (2020), (SCTS, IF=3.572)
  Jianhua Yuan, Yang Wu, Xin Lu, Yanyan Zhao, Bing Qin, Ting Liu
  


• Exploring Answer Stance Detection with Recurrent Conditional Attention. [pdf][code]
  Proceedings of the 33rd AAAI Conference on Artificial Intelligence, (AAAI 2019, full paper)
  Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin
  


• A Joint Model for Sentiment Classification and Opinion Words Extraction. [pdf]
  The 17th Chinese Computational Linguistics and Natural Language Processing Based on Naturally
  Annotated Big Data, (CCL 2018, full paper)
  Dawei Cong, Jianhua Yuan, Yanyan Zhao, Bing Qin.
  


• Babbling-The HIT-SCIR System for Emotional Conversation Generation. [pdf]
  The 6th Conference on Natural Language Processing and Chinese Computing, (NLPCC 2017, full paper)
  Jianhua Yuan, Huaipeng Zhao, Yanyan Zhao, Dawei Cong, Bing Qin, Ting Liu.
  


• Local Contexts Are Effective for Neural Aspect Extraction. [pdf]
  The 6th Conference on Social Media Processing, (SMP 2017, full paper)
  Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu.