Bin Wang
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Research Scientist, PhD,
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Opportunities
We are actively looking for candidates working on Multimodal LLMs (text, audio, vision, etc.).
Research Interns (6 months or above preferred),
Ph.D. Students
Long-term Positions
Research Engineer / Scientist (Both engineering and research background are preferred.)
About Me
I am currently 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.
In my life, I started from signal processing, then moved to machine learning and natural language processing. I am interested in the wide application and technologies behind multimodal AI. I enjoy discussion with brillient minds and learn new skills.
Highlights
2024-2026 National LLM Project Press Coverage
2024 AudioBench for AudioLLM Evaluation
2024 NAACL SeaEval for Multilingual Evaluation
2023 EMNLP Instructive Dialogue Summarization
Research
My research focus including but not limited to:
Multimodal LLMs (Audio, Text, Vision)
Natural Language Processing
Conversatioal Systems
Generation AI
Representation Learning for Words, Sentences and (Knowledge) Graphs
Selected Publications
Bin Wang, Xunlong Zou, Geyu Lin, Shuo Sun, Zhuohan Liu, Wenyu Zhang, Zhengyuan Liu, AiTi Aw, Nancy F. Chen. “AudioBench: A Universal Benchmark for Audio Large Language Models.” ArXiv, 2024. [paper], [code]
Bin Wang, Zhengyuan Liu, Xin Huang, Fangkai Jiao, Yang Ding, AiTi Aw, Nancy F. Chen. “SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning.” NAACL, 2024. [paper], [code]
Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen and Haizhou Li. “Analyzing and Evaluating Faithfulness in Dialogue Summarization.” EMNLP, 2022. [paper], [code]
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.” 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]