About.

CV ↗

I'm Robin—Bin Wang in my publications. I'm an AI researcher and engineer at Apodex in Singapore, working on agent frameworks, multi-agent systems, and pretraining data acquisition and quality.

I received my Ph.D. from USC in 2021, advised by Prof. C.-C. Jay Kuo, after undergraduate study at UESTC. At NUS and A*STAR I²R, I worked on dialogue summarization, multilingual evaluation, and audio-language models. My work combines research, architecture, and implementation, with more than 60 publications.

I grew up in Jining, Shandong, and studied in Chengdu, Hong Kong, Oshawa, and Los Angeles. I moved to Singapore in 2021 and became a permanent resident in 2024. Outside work, I lift weights, read, maintain an audio AI resource hub, and write about career choices and everyday life.

Research

Agent systems & training data

I built a deep-research agent harness from scratch, with multi-source verification, parallel tool use, and multi-agent coordination. My recent work focuses on large-scale pretraining data acquisition and domain- and URL-level quality assessment.

Apodex 1.1 · Apodex-1.0 · FrontierAgent · Apodex 1.1 · mini · Apodex 1.0 · mini

Earlier Agent & Reasoning Research

Earlier work on research agents and reasoning models, including MiroFlow, MiroThinker, and MiroMind-M1, with a focus on tool use, long-horizon reasoning, and evaluation.

MiroFlow · MiroThinker · MiroMind-M1 · Survey: 100 Days After DeepSeek-R1

Audio & Multimodal LLMs

At A*STAR I²R, I led data preparation and evaluation for MERaLiON AudioLLM and co-led model training. I also led AudioBench, covering eight tasks and 26 datasets.

MERaLiON-AudioLLM · AudioBench · MoWE-Audio · IFEval-Audio

Multilingual & Cultural LLMs

I led SeaEval to assess cross-lingual consistency and cultural reasoning in multilingual models, alongside collaborative work on Southeast Asian language data and models.

SeaEval · SEACrowd · CRAFT · CrossIn

Experience

Work

  • May 2025 – Present
    AI Research Scientist · Apodex, Singapore→

    Agent harness architecture, multi-agent systems, and large-scale pretraining data acquisition and quality.

  • Apr 2023 – Apr 2025
    Scientist · Tech Lead (Evaluation & Data), MERaLiON Team · Institute for Infocomm Research (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.

  • Sep 2021 – Mar 2023
    Research Fellow · National University of Singapore (NUS)→

    FacEval for factual consistency in dialogue summarization; EvalRank for representation evaluation. Advisor: Prof. Haizhou Li.

  • May 2020 – Aug 2020
    Research Internship · JD AI Research, Mountain View, USA→

    Inductive learning for commonsense knowledge graph completion, in collaboration with Stanford (Jure Leskovec group).

  • Jul 2016 – Oct 2016
    Research Internship · Ontario Tech University, Canada→

    3D point-cloud hand-gesture recognition with Kinect for human-robot interaction. Mitacs Globalink awardee.

Education

  • Aug 2017 – May 2021
    Ph.D. · University of Southern California (USC)→

    Thesis on word, sentence, and knowledge graph representation learning. Advisor: Prof. C.-C. Jay Kuo.

  • Sep 2013 – Jun 2017
    Bachelor · University of Electronic Science and Technology of China (UESTC)→

    Undergraduate National Scholarship (2015, 2016); Excellent Graduate of Sichuan Province (2017).

  • Sep 2015 – Jan 2016
    Exchange Student · City University of Hong Kong (CityU HK)→

    One-semester exchange program in Hong Kong during undergraduate studies.

Recognition

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.

Publications
60+ papers · 2,942 citations (Sep 2026)

Full list on Google Scholar ↗

Contact

bwang28c@gmail.com