Publications

2026

1. Pistis Technical Report

   Heyun Chen, Xiaohan Lan, Jiaxi Li, Zhilin Lu, Qi She, Weiwen Xu, Fei Yu, Yujie Zhong, Jinghuan Chen, Zijian Feng, Siyu Jiao, Yiheng Lin, Xinhao Wang, Sihan Yang, Jieyu You, Changbin Zhang, Hengyu Zhang, Xudong Zhang, Yunqing Zhao, and Shuai Zheng

   arXiv preprint arXiv:2609.28554, Sep 2026

   Abs arXiv Bib

   We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and developed through a general and scalable post-training framework. The framework first establishes a strong foundation through large-scale multimodal supervised fine-tuning (SFT). Building on this SFT foundation, we propose Interleaved Distillation and Reinforcement Learning (IDRL), a novel post-training paradigm that tightly integrates on-policy distillation and reinforcement learning within a single training loop.

   @article{chen2026pistis,
     title = {Pistis Technical Report},
     author = {Chen, Heyun and Lan, Xiaohan and Li, Jiaxi and Lu, Zhilin and She, Qi and Xu, Weiwen and Yu, Fei and Zhong, Yujie and Chen, Jinghuan and Feng, Zijian and Jiao, Siyu and Lin, Yiheng and Wang, Xinhao and Yang, Sihan and You, Jieyu and Zhang, Changbin and Zhang, Hengyu and Zhang, Xudong and Zhao, Yunqing and Zheng, Shuai},
     journal = {arXiv preprint arXiv:2609.28554},
     year = {2026},
     month = sep,
   }

2. TextSculptor: Training and Benchmarking Scene Text Editing

   Yiheng Lin, Siyu Jiao, Xiaohan Lan, Wei Zhou, Qi She, Fei Yu, Heyun Chen, Zhengwei Wang, Jinghuan Chen, Moran Li, Yingchen Yu, Zijian Feng, Yao Zhao, Yunchao Wei, and Yujie Zhong

   arXiv preprint arXiv:2605.21090, May 2026

   Abs arXiv Bib Code

   Recent advances in Multimodal Large Language Models (MLLMs) and diffusion-based generative models have substantially improved prompt-driven image editing. However, scene text editing remains challenging, as it requires models to precisely modify textual content while preserving visual realism and non-target regions. We present TextSculptor, a comprehensive framework for data construction and evaluation of scene text editing: an automated data construction pipeline, TextSculpt-Data (3.2M training samples), and TextSculpt-Bench, a benchmark covering text addition, replacement, removal and hybrid editing.

   @article{lin2026textsculptor,
     title = {TextSculptor: Training and Benchmarking Scene Text Editing},
     author = {Lin, Yiheng and Jiao, Siyu and Lan, Xiaohan and Zhou, Wei and She, Qi and Yu, Fei and Chen, Heyun and Wang, Zhengwei and Chen, Jinghuan and Li, Moran and Yu, Yingchen and Feng, Zijian and Zhao, Yao and Wei, Yunchao and Zhong, Yujie},
     journal = {arXiv preprint arXiv:2605.21090},
     year = {2026},
     month = may,
   }

2022

1. A Deep-Learning-based System for Indoor Active Cleaning

   Yike Yun^*, Linjie Hou^*, Zijian Feng^*, Wei Jin, Yang Liu, Heng Wang, Ruonan He, Weitao Guo, Bo Han, Baoxing Qin, and Jiaxin Li

   In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2022

   Bib PDF Code Website

   @inproceedings{yun2022active,
     title = {A Deep-Learning-based System for Indoor Active Cleaning},
     author = {Yun, Yike and Hou, Linjie and Feng, Zijian and Jin, Wei and Liu, Yang and Wang, Heng and He, Ruonan and Guo, Weitao and Han, Bo and Qin, Baoxing and Li, Jiaxin},
     booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     year = {2022},
     month = oct,
   }

2021

1. MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis

   Jiaxin Li^*, Zijian Feng^*, Qi She, Henghui Ding, Changhu Wang, and Gim Hee Lee

   In IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021

   arXiv Bib Code Website

   @inproceedings{li2021mine,
     title = {MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis},
     author = {Li, Jiaxin and Feng, Zijian and She, Qi and Ding, Henghui and Wang, Changhu and Lee, Gim Hee},
     booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
     year = {2021},
     month = oct,
   }

2. MT-ORL: Multi-Task Occlusion Relationship Learning

   Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, and Anlong Ming

   In IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021

   Bib HTML Code

   @inproceedings{feng2021mtorl,
     title = {MT-ORL: Multi-Task Occlusion Relationship Learning},
     author = {Feng, Panhe and She, Qi and Zhu, Lei and Li, Jiaxin and Zhang, Lin and Feng, Zijian and Wang, Changhu and Li, Chunpeng and Kang, Xuejing and Ming, Anlong},
     booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
     year = {2021},
     month = oct,
   }

3. Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing

   Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, and Xudong Jiang

   In IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021

   Bib PDF

   @inproceedings{ding2021interaction,
     title = {Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing},
     author = {Ding, Henghui and Zhang, Hui and Liu, Jun and Li, Jiaxin and Feng, Zijian and Jiang, Xudong},
     booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
     year = {2021},
     month = oct,
   }