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Zhiteng Li

I am a second-year master student at the Department of Computer Science and Engineering (CSE), Shanghai Jiao Tong University (SJTU), advised by Prof. Yulun Zhang and Prof. Linghe Kong. Previously, I received my B.E. degree from SJTU in 2023.

My research interests lie in LLM/VLM/DiT model compression and acceleration, including techniques such as binarization and post-training quantization. Additionally, I focus on synthetic data augmentation and AI-generated content (AIGC), encompassing text-to-image and text-to-video generative models.

I interned at Amazon ASAIL, Sony AI, Xiaohongshu, and Bytedance Seed-LLM.

News

Jun 26, 2025 1 paper accepted to ICCV 2025.
May 01, 2025 1 paper accepted to ICML 2025.
Apr 22, 2025 I will join ByteDance Seed-LLM Team as a research intern.
Jan 23, 2025 Our papers ARB-LLM and GenDataAgent are accepted by ICLR 2025.

Publications

† Equal Contribution, * Corresponding Author(s)

  1. ICLR
    ARB-LLM: Alternating Refined Binarizations for Large Language Models
    Zhiteng Li† , Xianglong Yan† , Tianao Zhang , Haotong Qin , Dong Xie , Jiang Tian , Zhongchao Shi , Linghe Kong* , Yulun Zhang* , and Xiaokang Yang
    In International Conference on Learning Representations, 2025
    PDF Code
  2. ICLR
    GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
    Zhiteng Li , Lele Chen , Jerone Andrews* , Yunhao Ba , Yulun Zhang , and Alice Xiang
    In International Conference on Learning Representations, 2025
    PDF Code
  3. ICCV
    QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
    Junyi Wu† , Zhiteng Li† , Zheng Hui , Yulun Zhang* , Linghe Kong , and Xiaokang Yang
    In International Conference on Computer Vision, 2025
    PDF Code
  4. ICML
    BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
    Kai Liu† , Kaicheng Yang† , Zheng Chen , Zhiteng Li , Yong Guo , Wenbo Li , Linghe Kong* , and Yulun Zhang*
    In International Conference on Machine Learning, 2025
    PDF Code
  5. arXiv
    DVD-Quant: Data-free Video Diffusion Transformers Quantization
    Zhiteng Li† , Hanxuan Li† , Junyi Wu , Kai Liu , Linghe Kong , Guihai Chen , Yulun Zhang , and Xiaokang Yang
    arXiv preprint arXiv:2505.18663, 2025
    PDF Code
  6. arXiv
    AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
    Zhiteng Li† , Mingyuan Xia† , Jingyuan Zhang , Zheng Hui , Linghe Kong* , Yulun Zhang* , and Xiaokang Yang
    arXiv preprint arXiv:2502.01403, 2025
    PDF Code
  7. arXiv
    BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
    Zhiteng Li , Yulun Zhang* , Jing Lin , Haotong Qin , Jinjin Gu , Xin Yuan , Linghe Kong* , and Xiaokang Yang
    arXiv preprint arXiv:2311.14323, 2025
    PDF Code
  8. arXiv
    ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration
    Xianglong Yan† , Zhiteng Li† , Tianao Zhang , Linghe Kong , Yulun Zhang , and Xiaokang Yang
    arXiv preprint arXiv:2505.24357, 2025
    PDF Code
  9. arXiv
    Progressive Binarization with Semi-Structured Pruning for LLMs
    Xianglong Yan† , Tianao Zhang† , Zhiteng Li , and Yulun Zhang*
    arXiv preprint arXiv:2502.01705, 2025
    PDF Code
  10. arXiv
    CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
    Kai Liu† , Dehui Wang† , Zhiteng Li , Zheng Chen , Yong Guo , Wenbo Li , Linghe Kong* , and Yulun Zhang*
    arXiv preprint arXiv:2502.15478, 2025
    PDF Code
  11. arXiv
    Low-bit Model Quantization for Deep Neural Networks: A Survey
    Kai Liu† , Qian Zheng† , Kaiwen Tao† , Zhiteng Li , Haotong Qin , Wenbo Li , Yong Guo , Xianglong Liu , Linghe Kong , Guihai Chen , and  others
    arXiv preprint arXiv:2505.05530, 2025
    PDF Code