Bin Wang (王斌)
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Postdoctoral Research Fellow, PhD,
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About me
I am currently a Postdoctoral Research Fellow at National University of Singapore (NUS) - Human Language Technology (HLT) Lab working with Prof. Haizhou Li.
Before that, I received both Ph.D. and M.S. degrees from University of Southern California (USC) supervised by Prof. C.-C. Jay Kuo in 2021 and 2019, respectively.
My bachelor's degree is obtained from University of Electronic Science and Technology of China (UESTC) in 2017.
News
Mar. 18, 2022: GraphHop paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Feb. 24, 2022: One paper accepted to ACL 2022, Main Conference. Please check our paper and code.
Research
My research interests include
Representation Learning for Word, Sentence and (Knowledge) Graph.
Dialogue Summarization.
Information Extraction for Dialogues.
Call for Papers
I am serving a Editorial Board for journal: APSIPA Transactions on Signal and Information Processing from year 2022 to 2025.
Welcome to submit your manuscript to ATSIP.
Some previous published papers have already attracted significant number of citations: http:goo.gl/xWHRsf
Selected Publications
Bin Wang, C.-C. Jay Kuo, and Haizhou Li. “Just Rank: Rethinking Evaluation with Word and Sentence Similarities.” ACL, 2022. [paper], [code]
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, and C.-C. Jay Kuo. “Inductive learning on commonsense knowledge graph completion.” IEEE International Joint Conference on Neural Networks (IJCNN), 2021. [paper], [code]
Bin Wang, and C.-C. Jay Kuo. “SBERT-WK: A sentence embedding method by dissecting bert-based word models.” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020. [paper], [code]
Bin Wang*, Angela Wang*, Fenxiao Chen, Yuncheng Wang, and C.-C. Jay Kuo. “Evaluating word embedding models: methods and experimental results.” APSIPA transactions on signal and information processing, 2019. [paper], [code]