Meng-Chen (Martin) Lee

Meng-Chen (Martin) Lee

I am a Ph.D. candidate in Computer Science, deeply passionate about computer graphics, specializing in multiparty conversation analysis, animation, and simulation. My expertise spans deep learning, large language models (LLMs), multimodal systems, and motion generation. I am actively exploring internship opportunities where I can apply my research skills in dynamic and collaborative settings.

Publications

  • [ICMI’24] Online Multimodal End-of-Turn Prediction for Three-party Conversations PDF
    Best Paper Runner Up | AWARD ICMI 2024
    Certificate
    • Meng-Chen Lee and Zhigang Deng
    • Proceeding of 26th ACM International Conference on Multimodal Interaction (ICMI) 2024, Costa Rica, Nov 4-8, 2024, pp. 57 – 65. DOI: 10.1145/3678957.3685742
  • [IVA’24] Computational Study on Sentence-based Next Speaker Prediction in Multiparty Conversations PDF
    • Meng-Chen Lee, Wu Angela Li, and Zhigang Deng
    • Proceeding of ACM International Conference on Intelligent Virtual Agents (IVA) 2024, September 16–19, 2024, Glasgow, UK, ACM Press.
  • [ICMI’23] Multimodal Turn Prediction and Analysis for Multiparty Conversations PDF
    • Meng-Chen Lee, Mai Trinh, and Zhigang Deng
    • Proceeding of 25th ACM International Conference on Multimodal Interaction (ICMI) 2023, Paris, France, Oct 9-13, 2023, pp. 436 - 444. DOI: 10.1145/3577190.3614139

Professional Service

Reviewer, IEEE Transactions on Visualization and Computer Graphics (TVCG)

Working

  • LatentDiffuseCLIP-VQMotion: A Novel Framework for Generating Realistic Two-Person Conversations with Enhanced Motion Fidelity

Awards