Mingyu Ding

51 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (71) 🧬 Topic Evolution 👑 Triple Crown 🤝 Dynamic Duo (23) 🏆 Grand Slam 🗃️ Keyword Collector (186) 💎 Century Club (49) ⚡ Prolific Year (10) 🔥 Unstoppable (8)

Conferences

CVPR (11) NIPS (10) ICLR (9) AAAI (4) ECCV (4) ICML (4) CORL (3) ICCV (3) IJCAI (1) RSS (1) WACV (1)

Top co-authors

Ping Luo (23) Zhiwu Lu (15) Masayoshi Tomizuka (11) Wei Zhan (10) Yao Mu (9) Chuang Gan (9) Zhenfang Chen (8) Tao Xiang (7) Yuqi Huo (7) Chenfeng Xu (6)

Keywords

foundation model (4) self-supervised learning (3) transfer learning (3) multi-modal learning (3) contrastive learning (3) robotic manipulation (3) robot manipulation (2) video understanding (2) diffusion model (2) multimodal learning (2) adversarial learning (2) representation learning (2) autonomous driving (2) multi-task learning (2) object detection (2) pose estimation (2) unsupervised learning (2) image retrieval (2) domain adaptation (2) depth estimation (2)

Papers

Unlocking the Power of Large Multimodal Models for Robot Learning: Robustness, Generalization, and Opportunities AAAI 2026

ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction AAAI 2026

DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation CVPR 2025

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos ICCV 2025

WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving ICML 2025

X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios ICLR 2025

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins CVPR 2025

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models ICLR 2025

CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians CVPR 2025

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models ICLR 2024

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling ICLR 2024

Human-oriented Representation Learning for Robotic Manipulation RSS 2024

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution CVPR 2024

MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts NIPS 2024

Interfacing Foundation Models' Embeddings NIPS 2024

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning CORL 2024

Q-SLAM: Quadric Representations for Monocular SLAM CORL 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis ICML 2024

VDT: General-purpose Video Diffusion Transformers via Mask Modeling ICLR 2024

TextPSG: Panoptic Scene Graph Generation from Textual Descriptions ICCV 2023

Towards Free Data Selection with General-Purpose Models NIPS 2023

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought NIPS 2023

Doubly-Robust Self-Training NIPS 2023

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties NIPS 2023

Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners CVPR 2023

Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention CVPR 2023

EC2: Emergent Communication for Embodied Control CVPR 2023

Planning with Large Language Models for Code Generation ICLR 2023

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners ICML 2023

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following CORL 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos ICLR 2022

Learning Versatile Neural Architectures by Propagating Network Codes ICLR 2022

LGDN: Language-Guided Denoising Network for Video-Language Modeling NIPS 2022

DaViT: Dual Attention Vision Transformers ECCV 2022

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer ICML 2022

Domain-Adaptive Few-Shot Learning WACV 2021

A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021

Compressed Video Contrastive Learning NIPS 2021

Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw IJCAI 2021

IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning ICLR 2021

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language NIPS 2021

L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing CVPR 2021

HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers CVPR 2021

Segmenting Transparent Objects in the Wild ECCV 2020

Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking ECCV 2020

Learning Depth-Guided Convolutions for Monocular 3D Object Detection CVPR 2020

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow AAAI 2020

Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation ECCV 2020

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization ICCV 2019

Face-Focused Cross-Stream Network for Deception Detection in Videos CVPR 2019

Domain-Invariant Projection Learning for Zero-Shot Recognition NIPS 2018