About.
CV ↗Bin Wang is an AI Research Scientist at MiroMind AI, based in Singapore. He received his Ph.D. from the University of Southern California (USC) in 2021, advised by Prof. C.-C. Jay Kuo. He earned his B.Eng. from the University of Electronic Science and Technology of China (UESTC) in 2017.
His research has evolved along a continuous thread: representation learning for words, sentences, and knowledge graphs during his Ph.D.; dialogue summarization and audio-language models as a Research Fellow at the National University of Singapore (NUS) and as a Scientist at the Institute for Infocomm Research (I²R), A*STAR; and most recently agentic reasoning models at MiroMind AI. He has published over 60 papers in venues including ACL, EMNLP, NAACL, IEEE TASLP, IEEE TNNLS, and ACM KDD, and has received multiple best paper and outstanding paper awards.
He grew up in Jining, Shandong, and studied in Chengdu, Hong Kong, Oshawa, and Los Angeles before settling in Singapore, where he became a permanent resident in 2024. Off-hours tend to involve weights, books, downtime, and a quiet obsession with keeping life simple and low-entropy.
Agentic AI & Reasoning
Ongoing work at MiroMind AI on open-source agent research models and frameworks that scale along model size, context length, and interactive depth. The goal is to equip general-purpose reasoning models with robust tool use, long-horizon planning, and reproducible evaluation.
MiroFlow · MiroThinker · MiroMind-M1 · Survey: 100 Days After DeepSeek-R1
Audio & Multimodal LLMs
At I²R, A*STAR, led the evaluation and data workstreams for MERaLiON AudioLLM under Singapore's National Multimodal LLM Programme, focusing on instruction-following, cross-modality alignment, and paralinguistic understanding across English, Mandarin, Malay, Tamil, and Singlish.
Work
- 05/2025 – PresentAI Research Scientist · MiroMind, Singapore→
Building open-source agent research models and reasoning frameworks (MiroFlow, MiroThinker, MiroMind-M1).
- 04/2023 – 04/2025Scientist · Tech Lead (Evaluation & Data), MERaLiON Team · I²R, A*STAR, Singapore→
Tech Lead (Evaluation & Data) for the MERaLiON AudioLLM team under Singapore's National Multimodal LLM Programme, focusing on Southeast Asian audio-language models.
- 09/2021 – 03/2023Research Fellow · National University of Singapore (NUS)→
Dialogue summarization, sentence representation learning, and embedding evaluation. Advisor: Prof. Haizhou Li.
- 05/2020 – 08/2020Research Internship · JD AI Research, Mountain View, USA→
Inductive learning for commonsense knowledge graph completion, in collaboration with Stanford (Jure Leskovec group).
- 07/2016 – 10/2016Research Internship · Ontario Tech University, Canada→
3D point-cloud hand-gesture recognition with Kinect for human-robot interaction. Mitacs Globalink awardee.
Education
- 08/2017 – 05/2021Ph.D. · University of Southern California (USC), Los Angeles, USA→
Thesis on word, sentence, and knowledge graph representation learning. Advisor: Prof. C.-C. Jay Kuo.
- 09/2013 – 07/2017Bachelor · University of Electronic Science and Technology of China (UESTC)→
Undergraduate National Scholarship (2015, 2016); Excellent Graduate of Sichuan Province (2017).
- 08/2015 – 12/2015Exchange Student · City University of Hong Kong (CityU HK)→
One-semester exchange program in Hong Kong during undergraduate studies.
Awards
- APSIPA Sadaoki Furui Prize Paper Award (2024)
- APSIPA Sadaoki Furui Prize Paper Award (2022)
- Best Paper Award, SUMEval Workshop at COLING 2025
- Best Paper Award, C3NLP Workshop at ACL 2024
- USC Graduate Student Government Research Travel Grant (2019)
- Excellent Graduate of Sichuan Province (2017)
- Undergraduate National Scholarship, China (2015, 2016)
- Mitacs Globalink Research Internship (2016)
Academic Services
- Publication Chair, EMNLP 2023
- Area Chair, ACL ARR (2024–2025)
- Editorial Board, APSIPA Transactions on Signal and Information Processing, 2023–2025
- Session Chair, IJCNN 2021
- Reviewer: Nature Human Behaviour (2022), IEEE/ACM TASLP, ACL, EMNLP, NAACL, ICASSP, ICME
Students Supervised
Mentored 10+ research students and interns at I²R (A*STAR) and NUS on audio LLMs, instruction tuning, and long-video understanding; many have moved on to strong PhD programs or industry roles.
- MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents· Technical Report 2025
- MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Models· ACL 2025
- AudioBench: A Universal Benchmark for Audio Large Language Models· NAACL 2025
- SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning· NAACL 2024
- Just Rank: Rethinking Evaluation with Word and Sentence Similarities· ACL 2022
- SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models· TASLP 2020
- Evaluating Word Embedding Models: Methods and Experimental Results· ATSIP 2019
bwang28c@gmail.com