About me

I am now an Associate Professor at the institute of Automation, Chinese Academy of Sciences, Beijing, China. In June 2018, I received my PhD degree from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), supervised by Prof. Chengqing Zong. Prior to this, I received my BS degree from Northeastern University in June 2013.

My research focuses on 1) combining insights of cognitive psychology to build better natural language understanding models. I am interested in: how to represent the meaning of language symbols, such as words phrases and sentences; How to make the language model learn as efficiently as people; How to evaluate the performance of a computational model; etc. 2) Applying computational linguistic methods in studying psycholinguistics and cognitive neuroscience researches. Currently, I use computational methods to study human language representation and sequence learning. I am interested in: how human represent and store semantic concepts; how human combine words to form more complex meaning of sentences; How can human learn and generalize from few examples; etc.

Publications

  • Shaonan Wang, Jingyuan Sun, Jiajun Zhang and Chengqing Zong. Neural Encoding and Decoding with Distributed Sentence Representations, IEEE Transactions on Neural Networks and Learning Systems, Vol.32, No.2, pp.589-603, 2021.

  • Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb. 7-12, 2020.

  • Shaonan Wang, Jiajun Zhang, Haiyan Wang, Nan Lin and Chengqing Zong. Fine-grained Neural Decoding with Distributed Word Representations. Information Sciences, 507 (2020) 256–272

  • Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. Distill and Replay for Continual Language Learning.The 28th International Conference on Computational Linguistics(COLING 2020), Online, December 8-13, 2020, pp. 3569-3579

  • Lin N, Xu Y, Yang H, Wang, S., et al. Dissociating the neural correlates of the sociality and plausibility effects in simple conceptual combination. Brain Structure and Function, 2020, 225(3): 995-1008.  

  • Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Understanding Memory Modules on Learning Simple Algorithms. In Proceedings of the IJCAI-19 Workshop on Explainable Artificial Intelligence (XAI), Macao, China, August 10-16, 2019, pp.5471-5477

  • Jingyuan Sun, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Towards Sentence-Level Brain Decoding with Distributed Representations. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27th – February 1st, 2019,Vol. 33, pp. 7047-7054

  • Yang Liu, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Experience-based Causality Learning for Intelligent Agents. ACM TALLIP 2019, Vol. 18, Article 45

  • Shaonan Wang, Jiajun Zhang and Chengqing Zong. Associative Multichannel Autoencoder for Multimodal Word Representation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 116-124

  • Jingyuan Sun, Shaonan Wang and Chengqing Zong. Memory, Show the Way: Memory Based Few Shot Word Representation Learning. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31th–November 4th, 2018, pp. 1435-1444

  • Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5964-5972.

  • Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Multimodal Word Representation via Dynamic Fusion Methods. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5973-5980.

  • Shaonan Wang, Jiajun Zhang and Chengqing Zong. Empirical Exploring Word-Character Relationship for Chinese Sentence Representation, ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 17, No. 3, Article 14, 18 pages, January 2018.

  • Lin N, Yang X, Li J, Wang, S., et al. Neural correlates of three cognitive processes involved in theory of mind and discourse comprehension. Cognitive, Affective, & Behavioral Neuroscience, 2018, 18(2): 273-283.

  • Shaonan Wang, Jiajun Zhang and Chengqing Zong. Exploiting Word Internal Structures for Generic Chinese Sentence Representation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-17), Copenhagen, Denmark, September 9-11, 2017, pp. 298-303.

  • Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Sentence Representation with Guidance of Human Attention. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Australia, August 19-25, 2017, pp. 4137-4143.

  • Shaonan Wang and Chengqing Zong. Comparison Study on Critical Components in Composition Model for Phrase Representation, ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 16, No. 3, Article 16, 25 pages, January 2017.

  • 王少楠,宗成庆. 一种基于双通道LDA模型的汉语词义表示与归纳方法. 计算机学报,2016年8月,第39卷,第8期,第1652-1666页.

Awards and Achievements

  • 2020 Scholarship by the China Scholarship Council
  • 2019 Chinese Academy of Sciences Excellent Doctoral Thesis Award
  • 2019 Member of Youth Innovation Promotion Association,CAS
  • 2018 Chinese Information Processing Society of China Excellent Doctoral Thesis Award
  • 2018 CAS Presidential Scholarship (Special Prize)
  • 2018 Beijing Outstanding Graduate Student Awards
  • 2018 University of CAS Outstanding Graduate Student Awards
  • 2017 PhD student National Scholarship
  • 2017 CAS Institute of Automation“Rokid”Scholarship
  • 2017 CAS Institute of Automation “Pandeng” Scholarship
  • 2014, 2017 University of CAS Merit Student
  • 2013 Northeastern University Outstanding Graduate Student Awards
  • 2012 Undergraduate National Scholarship