Lixiang Ru 汝理想

Computer Vision Researcher

I build multimodal systems that connect visual understanding, reasoning, and generation—with a long-standing interest in Earth observation and semantic segmentation.

Portrait of Lixiang Ru

About

Research at the intersection of perception and intelligence.

I am a computer vision researcher focused on multimodal models and visual understanding. From July 2023 to June 2026, I worked as an Algorithm Expert at Ant Group. I received my Ph.D. in Computer Science from Wuhan University in 2023, where I worked on weakly supervised visual learning and remote sensing.

Experience

A path from visual learning research to multimodal AI.

Industry

Ant Group

Ant Group

Algorithm Expert

JD Explore Academy

JD Explore Academy

Research Intern

Education

Publications

Grouped by research theme. # denotes co-first authors.

View on Google Scholar

Multi-Modal LLM

Unified models for multimodal perception, generation, and reasoning.

4 publications
Ming-Flash-Omni architecture from the paper
arXiv

Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Inclusion AI, Ant Group (including Lixiang Ru; alphabetical order)

arXiv preprint

M2-Reasoning model overview
arXiv

M2-Reasoning: Empowering MLLMs with Unified General and Spatial Reasoning

Fudong Wang, Jiajia Liu, Jingdong Chen, Jun Zhou, Kaixiang Ji, Lixiang Ru, Qingpei Guo, Ruobing Zheng, Tianqi Li, Yi Yuan, Yifan Mao, Yuting Xiao, Ziping Ma (alphabetical order)

arXiv preprint

Ming-Omni architecture from the paper
arXiv

Ming-Omni: A Unified Multimodal Model for Perception and Generation

Inclusion AI, Ant Group (including Lixiang Ru; alphabetical order)

arXiv preprint

Ming-Lite-Uni architecture overview
arXiv

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

Biao Gong, Cheng Zou, Dandan Zheng, Hu Yu, Jingdong Chen, Jianxin Sun, Junbo Zhao, Jun Zhou, Kaixiang Ji, Lixiang Ru, Libin Wang, Qingpei Guo, Rui Liu, Weilong Chai, Xinyu Xiao, Ziyuan Huang (alphabetical order)

arXiv preprint

Visual Interpretation

Segmentation, representation learning, visual recognition, and feature matching.

7 publications
ARGenSeg method overview
NeurIPS

ARGenSeg: Image Segmentation with Autoregressive Image Generation Model

Xiaolong Wang, Lixiang Ru, Ziyuan Huang, Kaixiang Ji, Dandan Zheng, Jingdong Chen, Jun Zhou

Conference on Neural Information Processing Systems

POA self-supervised learning framework from the paper
ECCV

POA: Pre-Training Once for Models of All Sizes

Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, Huimei He, Jingdong Chen, Ming Yang

European Conference on Computer Vision

Complementary expert learning framework
ACM MM

Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition

Lixiang Ru, Xin Guo, Lei Yu, Yingying Zhang, Jiangwei Lao, Jian Wang, Jingdong Chen, Yansheng Li, Ming Yang

ACM International Conference on Multimedia

Token Contrast method overview
CVPR

Token Contrast for Weakly-Supervised Semantic Segmentation

Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Affinity from Attention method overview
CVPR

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Visual Words Learning method overview
IJCV

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling

Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu

International Journal of Computer Vision

Learning Visual Words method overview
IJCAI

Learning Visual Words for Weakly-Supervised Semantic Segmentation

Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu

International Joint Conference on Artificial Intelligence

Remote Sensing

Foundation models, change detection, geolocalization, and Earth observation.

10 publications
SkySense V2 framework overview
ICCV

SkySense V2: A Unified Foundation Model for Multi-Modal Remote Sensing

Yingying Zhang, Lixiang Ru#, Kang Wu, Lei Yu, Lei Liang, Jingdong Chen

IEEE/CVF International Conference on Computer Vision

SkySense-O open-world remote sensing interpretation examples from the paper
CVPR

SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling

Qi Zhu#, Jiangwei Lao#, Deyi Ji, Junwei Luo, Kang Wu, Yingying Zhang, Lixiang Ru, Jian Wang, Jingdong Chen, Ming Yang, Dong Liu, Feng Zhao

IEEE/CVF Conference on Computer Vision and Pattern Recognition

CasP feature matching pipeline from the paper
ICCV

CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance

Peiqi Chen#, Lei Yu#, Yi Wan, Yingying Pei, Xinyi Liu, Yongxiang Yao, Yingying Zhang, Lixiang Ru, Liheng Zhong, Jingdong Chen, Ming Yang, Yongjun Zhang

IEEE/CVF International Conference on Computer Vision

HomoMatcher method overview from the paper
AAAI

HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation

Xiaolong Wang#, Lei Yu#, Yingying Zhang, Jiangwei Lao, Lixiang Ru, Liheng Zhong, Jingdong Chen, Yu Zhang, Ming Yang

AAAI Conference on Artificial Intelligence

AuxGeo cross-view geolocalization framework from the paper
ISPRS JPRS

Cross-View Geo-Localization with Panoramic Street-View and VHR Satellite Imagery in Decentrality Settings

Panwang Xia, Lei Yu, Yi Wan, Qiong Wu, Peiqi Chen, Liheng Zhong, Yongxiang Yao, Dong Wei, Xinyi Liu, Lixiang Ru, Yingying Zhang, Jiangwei Lao, Jingdong Chen, Ming Yang, Yongjun Zhang

ISPRS Journal of Photogrammetry and Remote Sensing

SkySense multimodal remote sensing examples
CVPR

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Traffic density analysis in Wuhan using GF-2 time-series imagery
IJAEOG

An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images

Chen Wu, Yinong Guo, Haonan Guo, Jingwen Yuan, Lixiang Ru, Hongruixuan Chen, Bo Du, Liangpei Zhang

International Journal of Applied Earth Observation and Geoinformation

Correlation-based fusion method overview
TIP

Multi-Temporal Scene Classification and Scene Change Detection with Correlation-Based Fusion

Lixiang Ru, Bo Du, Chen Wu

IEEE Transactions on Image Processing

Deep Slow Feature Analysis method overview
TGRS

Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

Bo Du, Lixiang Ru, Chen Wu, Liangpei Zhang

IEEE Transactions on Geoscience and Remote Sensing

Recognition & service

Awards and contributions to the research community.

Selected honors

  1. Ant Star ProgramAnt Group
  2. Outstanding Graduate StudentWuhan University
  3. National ScholarshipWuhan University
  4. Second Prize, Doctoral ForumSchool of Computer Science, Wuhan University
  5. National ScholarshipWuhan University
  6. IEEE GRSS Transactions Prize Paper AwardIEEE Geoscience and Remote Sensing Society

Academic service

Journal reviewer

TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, TGRS, TAI, Pattern Recognition, and Neurocomputing.

Conference reviewer

CVPR, ICCV, NeurIPS, ECCV, AAAI, and ACM Multimedia.