Bin Wang

Research Scientist, PhD, Aural & Language Intelligence, Institute for Infocomm Research (I2R) Agency for Science, Technology and Research (A*STAR) Address: 1 Fusionopolis Way, #20-10, Connexis North Tower, Singapore 138632 Tel: +65 6408 2789 (office) Email: bwang28c [@] gmail.com [Google Scholar]    [GitHub]    [HuggingFace]    [LinkedIn]    [Twitter] ‘‘Produce original research that expands the boundaries of knowledge.’’ ‘‘I do interesting research (to me, as least) on Natural Language Processing and Conversational Systems.’’

About me

I am a research scientist at Aural & Language Intelligence Department, I2R, A*STAR.
Before joing A*STAR, I was a research fellow at National University of Singapore (NUS) working with Prof. Haizhou Li from 2021-2023.
I received my Ph.D. degree from University of Southern California (USC) supervised by Prof. C.-C. Jay Kuo in 2021.
My bachelor's degree is obtained from University of Electronic Science and Technology of China (UESTC) in 2017.

News

• Dec. 2023: SeaEval Evaluation is live for multilingual foundation model evaluation with consideration on cross-lingual consistency and cultural understanding. New datasets as well.

  • [Paper], [Website], [Datasets] and [Evaluation Scripts].

• Oct. 2023: Our paper on Instructive Dialogue Summarization is accepted to EMNLP 2023.

  • [Paper], [Project].

• May, 2023: We have three papers going to present at ACL 2023. 2 in main conference, 1 in workshop.

  • 1) Efficient Knowledge Graph Prediction, 2) Compound Knowledge Graph Embedding, 3) Relational Sentence Embedding.

• March, 2023: I will be serving as the Publication Chair for EMNLP 2023, hosting in Singapore!

• Nov. 08, 2022: Our paper on word embedding won the APSIPA Sadaoki Furui Prize Paper Award. It is one of my earliest work in my PhD study. Reaching to 300 citations now!

• Oct. 20, 2022: Two papers accepted to EMNLP 2022.

Research

My research focus including but not limited to:

• Natural Language Processing

• Conversatioal Systems

• Generation AI: Summarization, Factuality

• Representation Learning for Words, Sentences and (Knowledge) Graphs

Find out more.

Selected Publications

1. Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen and Haizhou Li. “Analyzing and Evaluating Faithfulness in Dialogue Summarization.” EMNLP, 2022. [paper], [code]

2. Bin Wang, C.-C. Jay Kuo, and Haizhou Li. “Just Rank: Rethinking Evaluation with Word and Sentence Similarities.” ACL, 2022. [paper], [code]

3. Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, and C.-C. Jay Kuo. “Inductive learning on commonsense knowledge graph completion.” IJCNN, 2021. [paper], [code]

4. 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]

5. 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]

Full list of publications