publications

2026

1. arXiv

   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

   arXiv preprint arXiv:2602.09012, Dec 2026

   arXiv Bib HTML Code Website

   @article{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},
     journal = {arXiv preprint arXiv:2602.09012},
     year = {2026},
     month = dec,
   }

2. 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, Oct 2026

   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 = oct,
   }

3. 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), Nov 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 = nov,
   }

4. arXiv

   Exploring 3D Dataset Pruning

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

   arXiv preprint arXiv:2603.00651, Sep 2026

   arXiv Bib HTML

   @article{zhao2026threedpruning,
     title = {Exploring {3D} Dataset Pruning},
     author = {Zhao, Xiaohan and Shang, Xinyi and Liu, Jiacheng and Shen, Zhiqiang},
     journal = {arXiv preprint arXiv:2603.00651},
     year = {2026},
     month = sep,
   }

5. arXiv

   From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering

   Xinyi Shang, Yi Tang, Jiacheng Cui, Ahmed Elhagry, Salwa K. Al Khatib, Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao, Jing-Hao Xue, Hao Li, Salman Khan, and Zhiqiang Shen

   arXiv preprint arXiv:2603.20193, 2026

   arXiv Bib HTML Code

   @article{shang2026pixar,
     title = {From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for {VLM} Image Tampering},
     author = {Shang, Xinyi and Tang, Yi and Cui, Jiacheng and Elhagry, Ahmed and Al Khatib, Salwa K. and Bsharat, Sondos Mahmoud and Liu, Jiacheng and Zhao, Xiaohan and Xue, Jing-Hao and Li, Hao and Khan, Salman and Shen, Zhiqiang},
     journal = {arXiv preprint arXiv:2603.20193},
     year = {2026},
   }

6. DMLR

   Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark

   Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, and Zhiqiang Shen

   Journal of Data-centric Machine Learning Research (DMLR), 2026

   arXiv Bib HTML Code

   @article{bsharat2026mobilemmlu,
     title = {Mobile-{MMLU}: A Mobile Intelligence Language Understanding Benchmark},
     author = {Bsharat, Sondos Mahmoud and Ranjan, Mukul and Myrzakhan, Aidar and Liu, Jiacheng and Guo, Bowei and Tang, Shengkun and Liu, Zhuang and Li, Yuanzhi and Shen, Zhiqiang},
     journal = {Journal of Data-centric Machine Learning Research (DMLR)},
     year = {2026},
   }

2025

1. NeurIPS

   Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents

   Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, and Zhiqiang Shen

   In NeurIPS Datasets and Benchmarks Track, 2025

   arXiv Bib HTML Code

   @inproceedings{luo2025captchaworld,
     title = {Open {CaptchaWorld}: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal {LLM} Agents},
     author = {Luo, Yaxin and Li, Zhaoyi and Liu, Jiacheng and Cui, Jiacheng and Zhao, Xiaohan and Shen, Zhiqiang},
     booktitle = {NeurIPS Datasets and Benchmarks Track},
     year = {2025},
   }

2. NeurIPS

   FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation

   Jiacheng Cui, Xinyue Bi, Yaxin Luo, Xiaohan Zhao, Jiacheng Liu, and Zhiqiang Shen

   In Conference on Neural Information Processing Systems (NeurIPS), 2025

   arXiv Bib HTML Code

   @inproceedings{cui2025fadrm,
     title = {{FADRM}: Fast and Accurate Data Residual Matching for Dataset Distillation},
     author = {Cui, Jiacheng and Bi, Xinyue and Luo, Yaxin and Zhao, Xiaohan and Liu, Jiacheng and Shen, Zhiqiang},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2025},
   }

2024

1. arXiv

   Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

   Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, and Jun Wang

   arXiv preprint arXiv:2312.14878, 2024

   Work conducted as part-time research intern at Huawei Noah’s Ark Lab, London.

   arXiv Bib HTML

   @article{christianos2024panguagent,
     title = {Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning},
     author = {Christianos, Filippos and Papoudakis, Georgios and Zimmer, Matthieu and Coste, Thomas and Wu, Zhihao and Chen, Jingxuan and Khandelwal, Khyati and Doran, James and Feng, Xidong and Liu, Jiacheng and Xiong, Zheng and Luo, Yicheng and Hao, Jianye and Shao, Kun and Bou-Ammar, Haitham and Wang, Jun},
     journal = {arXiv preprint arXiv:2312.14878},
     year = {2024},
     note = {Work conducted as part-time research intern at Huawei Noah's Ark Lab, London.}
   }