publications

* denotes equal contribution; † denotes corresponding authors

Conference & journal articles

2025

  1. ICML
    Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
    Kaiwen Zheng , Yongxin Chen , Huayu Chen,  Guande He , Ming-Yu Liu, Jun Zhu, and Qinsheng Zhang
    In Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025
    PDF Website
  2. ICML
    RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
    Min Zhao,  Guande He , Yixiao Chen , Hongzhou Zhu, Chongxuan Li, and Jun Zhu
    In Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025
    PDF Code Website
  3. ICLR
    Diffusion Bridge Implicit Models
    Kaiwen Zheng*,  Guande He* , Jianfei Chen, Fan Bao, and Jun Zhu†
    In The Thirteenth International Conference on Learning Representations, Singapore, 2025
    PDF Code
  4. ICLR
    Elucidating the Preconditioning in Consistency Distillation
    Kaiwen Zheng*,  Guande He* , Jianfei Chen, Fan Bao, and Jun Zhu†
    In The Thirteenth International Conference on Learning Representations, Singapore, 2025
    PDF
  5. COLING
    Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models
    Zijun Chen, Wenbo Hu,  Guande He , Zhijie Deng , Zheng Zhang, and Richang Hong
    In The 31st International Conference on Computational Linguistics, Abu Dhabi, United Arab Emirates, 2025
    PDF

2024

  1. NeurIPS
    Consistency Diffusion Bridge Models
    Guande He* , Kaiwen Zheng*, Jianfei Chen, Fan Bao, and Jun Zhu†
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024
    PDF
  2. NeurIPS
    Noise Contrastive Alignment of Language Models with Explicit Rewards
    Huayu Chen,  Guande He , Lifan Yuan , Ganqu Cui, Hang Su, and Jun Zhu†
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024
    PDF Code

2023

  1. ICLR
    Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
    Guande He , Jianfei Chen†, and Jun Zhu†
    In The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 2023
    PDF Code

Preprints & Workshop Papers

2024

  1. arXiv
    Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models
    Peng Cui,  Guande He , Dan Zhang, Zhijie Deng, Yinpeng Dong, and Jun Zhu
    arXiv preprint arXiv:2411,17767, 2024
    PDF
  2. arXiv
    Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
    Fan Bao, Chendong Xiang*, Gang Yue*,  Guande He* , Hongzhou Zhu*, Kaiwen Zheng*, Min Zhao*, Shilong Liu*, Yaole Wang*, and Jun Zhu†
    Technical Report, arXiv:2405.04233, 2024
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2023

  1. ICLRW
    Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting
    Guande He , Peng Cui, Jianfei Chen†, Wenbo Hu, and Jun Zhu†
    ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) , 2023
    PDF
  2. arXiv
    Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
    Zehua Chen*,  Guande He* , Kaiwen Zheng*, Xu Tan, and Jun Zhu†
    arXiv preprint arXiv:2312.03491, 2023
    PDF Website