Shu Liu   Co-Founder & CAIO SmartMore Corporation Limited Email: liushuhust [at] gmail [dot] com

Biography

Shu Liu is the Co-Founder and CAIO of SmartMore, a fast-growing pioneer in industrial AI agents and smart manufacturing, where he leads product and technical R&D while incubating cutting-edge technologies and products. He received his Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) in 2018, under the supervision of Prof. Jiaya Jia. Prior to that, he obtained his B.Eng. degree in Software Engineering from Huazhong University of Science and Technology (HUST) in 2014. He also spent a wonderful period at Tencent Youtu Lab.

His research focuses on computer vision, large multimodal models, and embodied AI. He has published over 60 papers in top-tier journals and conferences (including TPAMI, CVPR, and NeurIPS) with over 30,000 citations. He was recognized in Fortune China’s "40 Under 40" Most Promising Business Elites List (2025) and nominated as an ICCV Best Paper Finalist (2023). He has been consistently ranked among the World's Top 2% Scientists by Stanford University and Elsevier. Additionally, he holds over 100 authorized patents, has led his teams to 5 world championships in prestigious academic competitions (outperforming leading groups from Meta and MSRA), and has served as the Principal Investigator (PI) or Co-PI for several major research and technology commercialization projects.

He serves as an expert consultant for the Ministry of Industry and Information Technology (MIIT) and a committee member of the National Smart Manufacturing Standardization Expert Advisory Group. He has also driven the formulation of multiple international (ITU) and national AI standards.

Join Us: I am actively recruiting self-motivated full-time researchers, developers, and interns in computer vision, embodied AI, and large models to incubate next-generation cutting-edge technologies and products. If you are passionate about bridging state-of-the-art research with massive industrial impact, please send your CV directly to my email.

Publications [Google Scholar Profile]

^* Corresponding author
• StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
  StarVLA Community and Shu Liu as co-corresponding author.
  Tech report, arXiv, 2026
  Project Page: https://starvla.github.io/
  StarVLA was named a top-10 open-source project in ModelScope's EAI-100 list.
• StarVLA-α: Reducing Complexity in Vision-Language-Action Systems
  Jinhui Ye, Ning Gao, Senqiao Yang, Jinliang Zheng, Zixuan Wang, Yuxin Chen, Pengguang Chen, Yilun Chen, Shu Liu, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2026
  
• Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
  Senqiao Yang, Chengyao Wang, Yuxin Chen, Zixuan Wang, Longxiang Tang, Haokun Gui, Jinhui Ye, Changsheng Lu, Xiaoyang Wu, Mingkang Zhu, Pengguang Chen, Shu Liu^*, Zhuotao Tian, Hengshuang Zhao, Bei Yu, Jiaya Jia.
  Porject Page: https://starvla.github.io/VLAct/
  Tech report, arXiv, 2026
  
• VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning
  Yuqi Liu, Tianyuan Qu, Zhisheng Zhong, Bohao Peng, Shu Liu^*, Bei Yu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2026
  
• VLPose: Bridging the Domain Gap in Pose Estimation With Language-Vision Tuning
  Jingyao Li, Pengguang Chen, Xuan Ju, Shu Liu, Hong Xu, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2025
  
• MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders
  Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu^*, and Ying-Cong Chen^*.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2025
  
• Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
  Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu^*, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2025
  
• MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
  Zhongshen Zeng, Pengguang Chen, Shu Liu^*, Haiyun Jiang^*, Jiaya Jia.
  International Conference on Learning Representations (ICLR), 2024
  
• RL-GPT: Integrating Reinforcement Learning and Code-as-policy
  Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia.
  Neural Information Processing Systems (NIPS), 2024
  Oral Presentation
  
• TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation
  Jingyao Li, Pengguang Chen, Shengju Qian, Shu Liu, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2024
  
• BAL: Balancing Diversity and Novelty for Active Learning
  Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2024
  
• MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
  Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu^*, Ying-Cong Chen.
  European Conference on Computer Vision (ECCV), 2024
  
• Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
  Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Ying-Cong Chen.
  European Conference on Computer Vision (ECCV), 2024
  
• LISA: Reasoning Segmentation via Large Language Model
  Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  Oral Presentation (3.3% acceptance rate)
  
• Prompt Highlighter: Interactive Control for Multi-Modal LLMs
  Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  
• Denoising Diffusion Step-aware Models
  Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen.
  International Conference on Learning Representations (ICLR), 2024
  
• Scalable Language Model with Generalized Continual Learning
  Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Chang Yang, Jiaya Jia.
  International Conference on Learning Representations (ICLR), 2024
  
• Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
  Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen.
  IEEE International Conference on Computer Vision (ICCV), 2023
  Oral Presentation, Best Paper Final List, top 0.2%
  
• Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
  Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen.
  IEEE International Conference on Computer Vision (ICCV), 2023
  
• DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
  Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023
  
• ResLT: Residual Learning for Long-tailed Recognition
  Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023
  
• Adaptive Perspective Distillation for Semantic Segmentation
  Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023
  
• Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
  Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  
• Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
  Tao Hu, Xiaogang Xu, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  
• Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
  Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  Highlight Paper
  
• Learning Context-aware Classifier for Semantic Segmentation
  Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia.
  AAAI Conference on Artificial Intelligence (AAAI), 2023
  
• DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
  Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei wang, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2022
  
• Efficient Neural Radiance Fields
  Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  
• Generalized Few-shot Semantic Segmentation
  Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  
• Parametric Contrastive Learning
  Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021
  
• Learnable Boundary Guided Adversarial Training
  Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021
  
• Video Instance Segmentation With a Propose-Reduce Paradigm
  Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021
  
• Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation
  Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021
  
• Jigsaw Clustering for Unsupervised Visual Representation Learning
  Pengguang Chen, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  Oral Presentation (3.3 % acceptance rate)
  
• Distilling Knowledge via Knowledge Review
  Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  
• Improving Calibration for Long-Tailed Recognition
  Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  
• Self-Supervised 3D Mesh Reconstruction from Single Image
  Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  
• Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
  Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  
• EmbedMask: Embedding Coupling for One-stage Instance Segmentation
  Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou.
  International Joint Conference on Artificial Intelligence (IJCAI), 2021
  

  [Code]

• CN: Channel Normalization in Point Cloud
  Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia.
  European Conference on Computer Vision (ECCV), 2020
  
• Dive Deeper Into Box for Object Detection
  Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai.
  European Conference on Computer Vision (ECCV), 2020
  
• 3DSSD: Point-based 3D Single Stage Object Detector
  Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2020
  Oral Presentation (5.0% acceptance rate)
  

  [Code]

• PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
  Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2020
  Oral Presentation (5.0% acceptance rate)
  

  [Code]

• DSGN: Deep Stereo Geometry Network for 3D Object Detection
  Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2020
  

  [Code]

• GridMask Data Augmentation
  Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia.
  Tech report, arXiv, 2020
  

  [Code]

• Learnable Boundary Guided Adversarial Training
  Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia.
  Tech report, arXiv, 2020
  
• Orthogonal Center Learning with Subspace Masking for Person Re-Identification
  Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Xiaoyong Shen, Yu-Wing Tai.
  IEEE Transactions on Image Processing, (TIP), 2020
  
• Outdoor RGBD Instance Segmentation with Residual Regretting Learning
  Zhengtian Xu, Shu Liu, Jianping Shi, Cewu Lu.
  IEEE Transactions on Image Processing, (TIP), 2020
  
• STD: Sparse-to-Dense 3D Object Detector for Point Cloud
  Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE International Conference on Computer Vision, (ICCV), 2019
  Ranked No. 1 of WAD 2019 3D Object Detection Challenge
  
• Fast Point R-CNN
  Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE International Conference on Computer Vision, (ICCV), 2019
  
• Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
  Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia.
  IEEE International Conference on Computer Vision, (ICCV), 2019
  
• Fast and Practical Neural Architecture Search
  Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE International Conference on Computer Vision, (ICCV), 2019
  
• Associatively Segmenting Instances and Semantics in Point Clouds
  Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
  

  [Code]

• Amodal Instance Segmentation through KINS Dataset
  Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
  

  [Dataset]

• Human Pose Estimation with Spatial Contextual Information
  Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia.
  Tech report, arXiv, 2019
  
• TOPNet: Thinking Outside the Bounding Box
  Shuqin Xie, Chao Xu, Shu Liu, Alan Yuille, Jiaya Jia.
  Tech report, 2019
  
• IPOD: Intensive Point-based Object Detector for Point Cloud
  Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  Tech report, arXiv, 2018
  
• Sequential Context Encoding for Duplicate Removal
  Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
  Neural Information Processing Systems (NIPS), 2018
  
• PSANet: Point-wise Spatial Attention Network for Scene Parsing
  Hengshuang Zhao*, Yi Zhang*, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia. (* indicates equal contribution)
  European Conference on Computer Vision (ECCV), 2018
  Ranked No. 1 of WAD Drivable Area Segmentation Challenge 2018
  

  [Code]

• Path Aggregation Network for Instance Segmentation
  Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018
  Spotlight Presentation (6.7% acceptance rate)
  Ranks 7th of the most influential papers in CVPR 2018
  Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
  Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  

  [Code]

• SGN: Sequential Grouping Networks for Instance Segmentation
  Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun.
  IEEE International Conference on Computer Vision, (ICCV), 2017
  
• Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
  Shu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2016
  Oral Presentation (3.9% acceptance rate)
  
• Box Aggregation for Proposal Decimation: Last Mile of Object Detection
  Shu Liu, Cewu Lu, Jiaya Jia.
  IEEE International Conference on Computer Vision, (ICCV), 2015
  
• Contour Box: Rejecting Object Proposals Without Explicit Closed Contours
  Cewu Lu, Shu Liu, Jiaya Jia, Chi-Keung Tang.
  IEEE International Conference on Computer Vision, (ICCV), 2015
  
• Semantic Segmentation with Object Clique Potentials
  Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia.
  IEEE International Conference on Computer Vision, (ICCV), 2015
  
• Real-Time Object Tracking via Optimal Feature Subspace
  Xu Min, Yu Zhou, Shu Liu, Xiang Bai.
  IEEE International Conference on Image Processing, (ICIP), 2014
  

Competitions

• No. 1 of CVPR 2022 2nd Lightweight NAS Challenge, Unknown Data Track (Team Name: UltraRandom)
  
• No. 1 of WAD 2019 3D Object Detection Challenge (Team Name: X-Team)
  
• No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track (Team Name: TUTU)
  
• No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track (Team Name: UCenter) | slides
  
• No. 2 of COCO 2017 Detection Challenge in Object Detection Track (Team Name: UCenter)
  
• No. 1 of LSUN'17 Instance Segmentation Challenge (Team Name: UCenter)
  
• No. 3 of COCO 2015 Detection Challenge in Instance Segmentation track (Team Name: 1026)

Team UltraRandom: Shuai Yang, Xinze He, Chengyao Wang, Pengguang Chen, Haoru Tan, Zexin Yan, Shu Liu.
Team X-Team: Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Yu-Wing Tai, Jiaya Jia.
Team TUTU: Lu Qi, Shu Liu, Xiaoyong Shen, Jiaya Jia.
Team UCenter: Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
Team 1026: Shu Liu, Xiaojuan Qi.

Honors & Awards

Fortune China’s 40 Under 40: Most Promising Business Elites List	2025
Red Dot Award: Product Design	2025
Elsevier Highly Cited Chinese Researchers	2024 - 2026
Elsevier World Top 2% Scientists, Singe-year & Career-long	2021 - 2026
Hurun Under35s Entrepreneurial Pioneer	2024, 2025
Zhongguancun U30 Youth Innovation and Entrepreneurship List	2024
Silver Award, MUSE Design Award	2024
ICCV Best Paper Final List, top 0.2%	2023
World Artificial Intelligence Conference Rising Star Award	2022
Hurun China Under 30s To Watch	2020, 2021
Forbes China 30 Under 30s To Watch	2021
Chuangyebang 30 Under 30s To Watch	2021
World Artificial Intelligence Conference Youth Outstanding Paper Award	2021
Outstanding Reviewer of ICCV	2019
CUHK Postgraduate Studentship	2014-2018
Outstanding Graduates in HUST	2014
Outstanding Student Award (top 1%)	2011 - 2014
National Scholarship	2011

Experiences

• Senior Researcher | Youtu Lab, Tencent, Shenzhen | Sept. 2018 – Jan. 2020
  Mentor: Prof. Jiaya Jia
  Topic: Autonomous Driving and Automatic Large Scale Map Production
  
• Research Intern | Youtu Lab, Tencent, Shenzhen | May 2018 – Aug. 2018
  Mentor: Prof. Jiaya Jia
  Topic: 2D and 3D Point Cloud Recognition
  
• Research Intern | SenseTime, Beijing | Apr. 2017 – Nov. 2017
  Mentor: Dr. Jianping Shi
  Topic: Instance Segmentation with RGB and RGBD Data
  
• Visiting Student | Machine Learning Group, University of Toronto | Aug. 2016 – Nov. 2016
  Advisor: Prof. Raquel Urtasun and Prof. Sanja Fidler
  Topic: Instance Segmentation
  
• Research Assistant | Media and Communication Lab, HUST | Oct. 2013 – June 2014
  Advisor: Prof. Xiang Bai and Prof. Yu Zhou
  Topic: Object Tracking
  

Teaching

ENGG2601A Technology, Society and Engineering Practice	Spring	2016-2017
ENGG2601A Technology, Society and Engineering Practice	Spring	2015-2016
CSCI1130 Introduction to Computing Using Java	Fall	2015-2016
ENGG2600A Technology, Society and Engineering Practice	Spring	2014-2015
CSCI1130 Introduction to Computing Using Java	Fall	2014-2015