Shaonan Wang

Shaonan Wang

Associate Researcher at CASIA, expert in Natural Language Understanding.

Publications

You can find a full list of my articles and preprints on my Google Scholar profile.

Preprints

  • Shaonan Wang, Jingyuan Sun, Yunhao Zhang, Nan Lin, Marie-Francine Moens, and Chengqing Zong. “Computational Models to Study Language Processing in the Human Brain: A Survey.” arXiv preprint arXiv:2403.13368 (2024).

  • Jixing Li, Shaonan Wang, Wen-Ming Luh, Liina Pylkkänen, Yiming Yang, and John Hale. “Cortical processing of reference in language revealed by computational models.” BioRxiv (2020): 2020-11.

Peer-reviewed Journal Articles

  • Nan Lin, Xiaohan Zhang, Xiuyi Wang, and Shaonan Wang. The organization of the semantic network as reflected by the neural correlates of six semantic dimensions. Brain and Language 250 (2024): 105388.

  • Yupeng Li, Haorui He, Shaonan Wang, Francis CMLau, and Yunya Song.”Improved target-specific stance detection on social media platforms by delving into conversation threads.” IEEE Transactions on Computational Social Systems (2023).

  • Shaonan Wang, Yunhao Zhang, Shiwei Ting, Guangyao Zhang, Jiajun Zhang, Nan Lin, Chengqing Zong. A large dataset of semantic ratings and its computational extension. (2023). Scientific Data, 10(1), 106.

  • Shaonan Wang, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, Chengqing Zong. An fmri dataset for concept representation with semantic feature annotations. Scientific data. 2022.

  • Shaonan Wang, Xiaohan Zhang, Jiajun Zhang, Chengqing Zong. A synchronized multimodal neuroimaging dataset for studying brain language processing. Scientific data. 2022.

  • 王少楠, 张家俊, 宗成庆. 基于语言计算方法的语言认知实验综述. 中文信息学报. 2022.

  • 王少楠, 丁鼐, 林楠, 张家俊, 宗成庆. 语言认知与语言计算–人与机器的语言理解. 中国科学：信息科学. 2022.

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

  • 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.

  • 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. 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 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.

Peer-reviewed Conference Proceedings

  • Chong Li, Wen Yang, Jia jun Zhang, Jinliang Lu, Shaonan Wang, and Chengqing Zong.”X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions.” ACL-2024 Findings.

  • Yunhao Zhang, Shaonan Wang, Xinyi Dong, Jiajun Yu, and Chengqing Zong. Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models. Cogsci 2024.

  • Chong Li, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment. NAACL-2024.

  • Xinpei Zhao, Jingyuan Sun, Shaonan Wang, Jing Ye, Xiaohan Zhang, Chengqing Zong. MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities. NAACL-2024.

  • Amilleah Rodriguez, Shaonan Wang, Liina Pylkkanen. Do Language Models Compose Concepts the Way Humans Can? LREC-Coling 2024.

  • Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, and Marie-Francine Moens. Contrast, attend and diffuse to decode high-resolution images from brain activities. Advances in Neural Information Processing Systems 36 (2024).

  • Yunhao Zhang, Chong Li, Xiaohan Zhang, Xinyi Dong, and Shaonan Wang. A Comprehensive Neural and Behavioral Task Taxonomy Method for Transfer Learning in NLP. In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), pp. 233-241. 2023.

  • Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, and Chengqing Zong. Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 16460-16476. 2023.

  • Soo-Hwan Lee, and Shaonan Wang. Do language models know how to be polite?. Proceedings of the Society for Computation in Linguistics 6, no. 1 (2023): 375-378.

  • Xiaohan Zhang, Shaonan Wang, Chengqing Zong. How Does the Experimental Setting Affect the Conclusions of Neural Encoding Models? LREC-2022.

  • Shuxian Zou, Shaonan Wang, Jiiajun Zhang, Chengqing Zong. Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding. ACL-2022 Findings.

  • Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang and Chengqing Zong. Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. AAAI-2022

  • Shaonan Wang, Bingyu Liu. Multiple Sequential Learning Tasks Represented in Recurrent Neural Networks. NeurIPS 2021 AI for Science Workshop. Online. Dec 13, 2021.

  • Shuxian Zou, Shaonan Wang, Jiiajun Zhang, Chengqing Zong. Towards Brain-to-Text Generation: Neural Decoding with Pre-trained Encoder-Decoder Models. NeurIPS 2021 AI for Science Workshop. Online. Dec 13, 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.

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

  • 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

  • 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. 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.