Haozhe (Tony) Chen
陈昊哲

Undergraduate Student,
Department of Computer Science,
Columbia University
Download CV

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Research: I am interested shaping AI ecosystem as it becomes an increasingly pervasive part of our life and society. Currently, I am working on:

  • Efficient inference and serving of foundation models
  • Human-friendly, emotion-intelligent AI
  • Personalized, adaptive evaluation of foundation models
  • Interpretibility of large models

At Columbia, I have the fortunate opportunities to work with Tianyi Peng, Chengzhi Mao, Carl Vondrick, Hongseok Namkoong, and Julia Hirschberg.

I am also a research intern at Together AI working on accelerating inference.

Looking for Fall 2025 PhD opportunities! I am looking for Fall 2025 PhD opportunities. Please feel free to contact me via haozhe.chen@columbia.edu!

Previously: I was a quantitative research intern at Voloridge, a quantitative hedge fund in Florida. I also enjoyed Kaggle competitions for a while.

news

Oct 10, 2024 Our paper on benchmarking routing policies in queueing systems is accepted to NeurIPS 2024 Datasets and Benchmarks track! See you in Vancouver!
Oct 10, 2024 Our paper on applying fine-grained emotion/style control to voice cloning models is accepted to EMNLP 2024! See you in Miami!

publications

  1. qgym.png
    NeurIPS
    QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
    Haozhe Chen * ,  Ang Li * ,  Ethan Che *Tianyi Peng Jing Dong ,  and  Hongseok Namkoong
    NeurIPS 2024 Datasets and Benchmarks, Oct 2024
  2. emoknob.png
    EMNLP
    🎛️ EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control
    Haozhe Chen ,  Run Chen ,  and  Julia Hirschberg
    EMNLP 2024 Main, Oct 2024
  3. hug.png
    INTERSPEECH
    Detecting Empathy in Speech
    Run Chen ,  Haozhe Chen ,  Anushka Kulkarni ,  Eleanor Lin ,  Linda Pang ,  Divya Tadimeti ,  and  Julia Hirschberg
    INTERSPEECH 2024, Jun 2024
  4. textexplain.gif
    ICLR
    INViTE: INterpret and Control Vision Transformer with Text Explanations
    Haozhe Chen Junfeng Yang Carl Vondrick ,  and  Chengzhi Mao
    In the 12th International Conference on Learning Representations, 2024., Jan 2024
  5. selfie.png
    ICML
    🤳SelfIE: Self-Interpretation of Large Language Model Embeddings
    Haozhe Chen Carl Vondrick ,  and  Chengzhi Mao
    In the 41st International Conference on Machine Learning, 2024., Mar 2024