Education Background
Ph.D. Information Engineering (Information Science and Technology), University of Padua, 2022
M.Eng. Pattern Recognition and Intelligent Systems, Tianjin University, 2017
B.Eng. Software Engineering, Hubei University of Automotive Technology, 2014
Research Field
Biography
Professor Benyou Wang received Ph.D. degree at the University of Padua, Italy, funded by the Marie Curie Fellowship. He obtained a master's degree from Tianjin University. In his research career, he has visited University of Copenhagen (Denmark), University of Montreal (Canada), University of Amsterdam (the Netherlands), Huawei Noah's Ark Laboratory (Shenzhen, China), Institute of Theoretical Physics (Chinese Academy of Sciences, Beijing China), and Language Institute (Chinese Academy of Social Sciences, Beijing, China). He is committed to building explainable, robust, and efficient natural language processing approaches that are with both technical rationality and linguistic motivation. So far, he and his collaborators have won the Best Paper Nomination Award in SIGIR 2017 (the top conference in information retrieval) and Best Explainable NLP Paper in NAACL 2019 (a top conference on natural language processing). He had many articles in top international conferences NeurIPS/ICLR/SIGIR/WWW/NAACL and top international journals such as IEEE Transactions on Information System (TOIS), IEEE Transaction on Cybernetics (TOC), and Theoretical Computer Science (TCS). According to Google Scholar, he had achieved nearly 1000 citations with an h-index of 16 when he receives his Ph.D. degree.
A. Conference Papers
1. Benyou Wang*, Yuxin Ren*, Lifeng Shang, Xin Jiang, Qun Liu. "Exploring extreme parameter compression for pre-trained language models". ICLR 2022, .
2. Benyou Wang, Emanuele Di Buiccio, Massimo Melucci. Word2fun, modeling words as functions for dynamic word embeddings. NeurIPS 2021.
3. Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Qun Liu, Jakob Grue Simonsen. On position embeddings in BERT. ICLR 2021.
4. Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen. Encoding word order in complex embeddings. ICLR 2020, Spotlight.
5. Qiuchi Li*, Benyou Wang*, Massimo Melucci. A Complex-valued Network for Matching. NAACL 2019, Best Explainable NLP Paper.
6. Benyou Wang. Dynamic content monitoring and exploration using vector spaces. SIGIR 2019. Doctoral consortium.
7. Benyou Wang*, Qiuchi Li*, Massimo Melucci, Dawei Song. Semantic Hilbert Space for Text Representation Learning. WWW 2019
8. Jun Wang, Lantao, Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR 2017. Best Paper Award Honourable Mentions .
B. Journal articles
1. Peng Zhang, Wenjie Hui, Benyou Wang (corresponding), Donghao Zhao, Dawei Song, Christina Lioma, Jakob Grue Simonsen. "Complex-valued Neural Network-based Quantum Language Models". ACM Transactions on Information Systems.
2. Wei Zhao*, Benyou Wang*, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen. Leveraging Long and Short-term Information in Content-aware Movie Recommendation via Adversarial Training. IEEE Transactions on Cybernetics (TOC), 2019.
C. Book
1. Xin Huang, Zhao Wei, Benyou Wang, Huiwei Lv, Min Yang. Recommendation System and Deep Learning, Tsinghua University Press, in Chinese.
D. Book chapters
1. Benyou Wang, Emanuele Di, Buccio, & Melucci, Melucci. Representing words in vector space and beyond . In A. Diederik, K. Andrei, M. Massimo, & T. Bourama (Eds.),Quantum-like models for information retrieval and decision-making. Springer.
