Jiacheng Liu

^* Equal contribution.

1. arXiv

   Extreme Compression of Per-Layer Embeddings via Cross-Layer Latent Vector Quantization

   Jiacheng Liu, Yaxin Luo, Xiaohan Zhao, Peng Sun, Xinyi Shang, Jiacheng Cui, Yonina C. Eldar, and Zhiqiang Shen

   arXiv preprint arXiv:2610.31309, Oct 2026

   OPTIC

   arXiv Bib HTML Code

   @article{liu2026optic,
     title = {Extreme Compression of Per-Layer Embeddings via Cross-Layer Latent Vector Quantization},
     author = {Liu, Jiacheng and Luo, Yaxin and Zhao, Xiaohan and Sun, Peng and Shang, Xinyi and Cui, Jiacheng and Eldar, Yonina C. and Shen, Zhiqiang},
     journal = {arXiv preprint arXiv:2610.31309},
     year = {2026},
     month = oct,
     note = {OPTIC},
   }

2. arXiv

   FigMirror: Ground It, Code It, Plot It

   Xiaohan Zhao^*, Jiacheng Liu^*, Yaxin Luo, and Zhiqiang Shen

   arXiv preprint arXiv:2608.28814, Aug 2026

   arXiv Bib HTML Code

   @article{zhao2026figmirror,
     title = {{FigMirror}: Ground It, Code It, Plot It},
     author = {Zhao, Xiaohan and Liu, Jiacheng and Luo, Yaxin and Shen, Zhiqiang},
     journal = {arXiv preprint arXiv:2608.28814},
     year = {2026},
     month = aug,
   }

3. ICML

   Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense

   Jiacheng Liu^*, Yaxin Luo^*, Jiacheng Cui, Xinyi Shang, Xiaohan Zhao, and Zhiqiang Shen

   In International Conference on Machine Learning (ICML), Jul 2026

   arXiv Bib HTML Code Website

   @inproceedings{liu2026nextgen,
     title = {Next-Gen {CAPTCHAs}: Leveraging the Cognitive Gap for Scalable and Diverse {GUI}-Agent Defense},
     author = {Liu, Jiacheng and Luo, Yaxin and Cui, Jiacheng and Shang, Xinyi and Zhao, Xiaohan and Shen, Zhiqiang},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2026},
     month = jul,
   }

4. CVPR

   BiGain: Unified Token Compression for Joint Generation and Classification

   Jiacheng Liu^*, Shengkun Tang^*, Jiacheng Cui, Dongkuan Xu, and Zhiqiang Shen

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026

   Abs arXiv Bib HTML Code

   A training-free, plug-and-play framework that preserves generation quality while improving classification accuracy in accelerated diffusion models. Built on frequency separation: Laplacian-gated token merging plus interpolate-extrapolate KV downsampling.

   @inproceedings{liu2026bigain,
     title = {BiGain: Unified Token Compression for Joint Generation and Classification},
     author = {Liu, Jiacheng and Tang, Shengkun and Cui, Jiacheng and Xu, Dongkuan and Shen, Zhiqiang},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2026},
     month = jun,
   }

5. arXiv

   Dive into Claude Code: The Design Space of Today’s and Future AI Agent Systems

   Jiacheng Liu, Xiaohan Zhao, Xinyi Shang, and Zhiqiang Shen

   arXiv preprint arXiv:2604.14228, Apr 2026

   ⭐ 2K+ GitHub stars

   arXiv Bib HTML Code

   @article{liu2026claudecode,
     title = {Dive into Claude Code: The Design Space of Today's and Future {AI} Agent Systems},
     author = {Liu, Jiacheng and Zhao, Xiaohan and Shang, Xinyi and Shen, Zhiqiang},
     journal = {arXiv preprint arXiv:2604.14228},
     year = {2026},
     month = apr,
     note = {⭐ 2K+ GitHub stars}
   }

6. arXiv

   LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes

   Chuyan Chen, Haoxing Chen², Kun Chen², Zhenglin Cheng¹, Long Cui, Ruishan Fang, Zhangxuan Gu, Zhicheng Huang², Zhenzhong Lan, Yuanting Lei, Haoquan Li, Jianguo Li, Rongchuan Li, Sidu Li, Tao Lin, Deyuan Liu, Jiacheng Liu¹, Lin Liu, Yuxuan Lou, Zhisheng Lu, Yuxin Ma, Shuheng Shen, Peng Sun¹, Chaoyang Wang, Hongjun Wang, Xiaomei Wang², Yongxin Wang², Chengzhang Wu, Hongru Wu, and Jun Xie¹

   ¹ Core contributors to image generators; ² core contributors to the understanding backbone. Authors listed alphabetically by surname.

   arXiv preprint arXiv:2609.03796, Sep 2026

   arXiv Bib HTML Code

   @article{chen2026lladaimage,
     title = {{LLaDA-Image}: Building Strong Image Generators with Fully Open Training Recipes},
     author = {Chen, Chuyan and Chen, Haoxing and Chen, Kun and Cheng, Zhenglin and Cui, Long and Fang, Ruishan and Gu, Zhangxuan and Huang, Zhicheng and Lan, Zhenzhong and Lei, Yuanting and Li, Haoquan and Li, Jianguo and Li, Rongchuan and Li, Sidu and Lin, Tao and Liu, Deyuan and Liu, Jiacheng and Liu, Lin and Lou, Yuxuan and Lu, Zhisheng and Ma, Yuxin and Shen, Shuheng and Sun, Peng and Wang, Chaoyang and Wang, Hongjun and Wang, Xiaomei and Wang, Yongxin and Wu, Chengzhang and Wu, Hongru and Xie, Jun},
     journal = {arXiv preprint arXiv:2609.03796},
     year = {2026},
     month = sep,
   }