Mingchao Sun (孙铭超)
Researcher · Alibaba Group (AMap)
pushing hard && past the limit -> embrace the dream
about关于
Profile简介
Mingchao Sun is a Researcher at Alibaba Group (AMap). He previously interned at Microsoft Research Asia (MSRA) and Alibaba AI Labs, and received his B.Eng. and M.Eng. degrees from Shandong University, where he was advised by Prof. Baoquan Chen.
His research at AMap focuses on 3D reconstruction and generation, world models, and embodied intelligence. He is best known for PointCNN (NeurIPS 2018), a foundational convolution operator for point clouds co-authored with Prof. Yangyan Li.
highlights动态
News最新动态
- 2026.07 Released Abot-World and ABot-3DWorld — a universal world model that explores any 3D space. live demo → news → 发布 Abot-World 与 ABot-3DWorld——可探索任意三维空间的通用世界模型。在线体验 → 报道 →
- 2026.07 Released WorldRoamBench, an open-world benchmark probing the long-horizon stability of interactive world models. Benchmark homepage → news → 发布 WorldRoamBench,衡量交互式世界模型长时序稳定性的开放世界基准。Benchmark 主页 → 新智元报道 →
- 2026.06 Released ABot-Earth 0.5, a generative 3D model of the Earth. live demo → news → 发布 ABot-Earth 0.5,生成式三维地球模型。在线体验 → 阿里报道 →
- 2026.06 SocialNav, a human-inspired foundation model for socially-aware navigation — selected as a CVPR 2026 Best Paper Candidate! project → news → SocialNav,受人类启发的具身社会感知导航基础模型——入选 CVPR 2026 最佳论文候选!项目主页 → 高德报道 →
- 2026.05 🏆 Won 1st place at the AGIBOT World Model Challenge. news → 🏆 荣获 AGIBOT World Model Challenge 大赛冠军。高德报道 →
- 2026.03 From Orbit to Ground accepted to CVPR 2026 Findings — generative city-scale photogrammetry from extreme off-nadir satellite imagery. project → news → From Orbit to Ground 被 CVPR 2026 Findings 接收——从极端倾斜卫星影像做生成式城市级摄影测量。项目主页 → 机器之心报道 →
- 2026.02 Two papers accepted to CVPR 2026 — PointCNN++ (convolution on native points) and SocialNav (socially-aware navigation). 两篇论文被 CVPR 2026 接收——PointCNN++(原生点卷积)与 SocialNav(社会感知导航)。
- 2026.02 CLoD-GS accepted to ICLR 2026 — continuous level-of-detail rendering built on 3D Gaussian Splatting. CLoD-GS 被 ICLR 2026 接收——基于 3D 高斯泼溅的连续细节层次渲染。
- 2025.08 "Yunjing" (云境), AMap's immersive AI product — sharing its core capabilities and AMap's recent advances in digital-twin technology and applications. news → 分享高德地图沉浸式 AI 产品"云境"的核心技术能力,展示高德近期在数字孪生领域的技术成果与应用场景。公众号文章 →
selected work代表论文
Publications发表论文
sorted by date (newest first) 按时间倒序(最新在前)
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ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU
An action-conditioned video world model enabling real-time, long-horizon closed-loop interaction, trained on AAA games, simulators, and web video.
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ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space
A universal multimodal 3D world model that turns text, image, and video inputs into high-fidelity, explorable 3D worlds.
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ABot-N1: Toward a General Visual-Language Navigation Foundation Model
A step toward a general Visual Language Navigation foundation model, decoupling cognition from control via a slow-fast architecture guided by dual visual-language signals.
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WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models
A benchmark probing long-horizon stability of interactive world models.
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ABot-EARTH 0.5: Generative 3D Earth Model
A generative 3D framework that synthesizes vast, seamless 3D environments from ubiquitous, geospatially referenced satellite imagery.
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POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation
The first closed-loop benchmark for real-world POI-goal navigation, paired with a Brain-Action Framework that couples reasoning with continuous waypoint prediction.
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Abot-n0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
A unified Vision-Language-Action (VLA) foundation model that achieves a "Grand Unification" across 5 core tasks.
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From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
Generative city-scale photogrammetry from extreme off-nadir satellite imagery.
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PointCNN++: Performant Convolution on Native Points
A performant convolution operator that works directly on native point clouds.
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SocialNav: Training a Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
A human-inspired foundation model for socially-aware embodied navigation.
CVPR 2026 Best Paper Candidate -
CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
A framework that integrates a continuous LoD mechanism directly into a 3DGS representation.
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DO-Conv: Depthwise Over-Parameterized Convolutional Layer
A depthwise over-parameterized convolutional layer that boosts 2D CNN backbones.
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DeepPipes: Learning 3D Pipelines Reconstruction from Point Clouds
Reconstructing 3D pipeline structures from point clouds.
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Mutual Information Maximization in Graph Neural Networks
A mutual-information maximization objective for graph neural networks.
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PointCNN: Convolution on X-Transformed Points
A foundational convolution operator for deep learning on point clouds.
2021 WAIC Youth Outstanding Paper Award
experience经历
Experience工作经历
- Alibaba Group — AMap, Visual Technology Center 阿里巴巴 · 高德 视觉技术中心 2021.11 – present
Researcher 研究员 · full-time since Jul 2020
HD Map · 3DGS · World Models 高精地图 · 3DGS · 世界模型
- Alibaba Group · Alibaba Cloud, Video Cloud & DingTalk 阿里巴巴 · 阿里云 视频云 & 钉钉 2019.06 – 2021.11
Algorithm Engineer 算法工程师
Face & Video Algorithms 人脸与视频算法
- Alibaba Group · AI Labs 阿里巴巴 · AI Labs 2018.08 – 2019.06
Research Intern 研究实习生
Autonomous Driving & V2X 自动驾驶与车路协同
- Microsoft Research Asia (MSRA) 微软亚洲研究院(MSRA) 2016.08 – 2017.04
Research Intern 研究实习生
Machine Learning & BI 机器学习与 BI
// education // 教育背景
- Shandong University 山东大学 2017.09 – 2020.07
M.Eng. · Computer Science & Technology · advised by Prof. Baoquan Chen 硕士 · 计算机科学与技术 · 师从 陈宝权教授
- Shandong University 山东大学 2013.09 – 2017.07
B.Eng. · Software Engineering 学士 · 软件工程
openings招聘
Join the team加入我们
I'm recruiting self-motivated research interns passionate about 3D vision, 3D Gaussian Splatting, and generative world models. Interested? Reach out with your CV via WeChat or email — happy to chat! 欢迎对三维视觉、3DGS、生成式世界模型感兴趣的同学来实习;微信或邮箱发简历联系我即可。