Yilun Du
85 papers · 2018–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (88) π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Conference Loyalist
(22)
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Triple Crown
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Grand Slam
π₯
Mega-Team Β· Squad
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Dynamic Duo
(23)
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Deep Specialist
(16)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(364)
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Century Club Β· Silver
β
The Questioner
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Unstoppable Β· Bronze
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Prolific Year Β· Absurd
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Renaissance Researcher
(7)
Venues
Top co-authors
Research topics
Artificial Intelligence
(50)
Core AI
(44)
Deep Learning
(42)
Machine Learning
(36)
Models
(31)
Computer Vision
(23)
Learning Types Β· Machine Learning
(20)
Analysis
(15)
Core Methods
(12)
Learning Paradigms
(12)
Reinforcement Learning
(10)
Generation
(10)
Learning Types Β· Deep Learning
(10)
Robotics
(9)
Optimization & Theory
(8)
Keywords
diffusion model
(17)
energy-based model
(9)
generative model
(9)
large language model
(7)
video generation
(6)
vision-language model
(6)
reinforcement learning
(5)
novel view synthesis
(4)
representation learning
(4)
image generation
(4)
robot manipulation
(4)
robotic manipulation
(4)
point cloud
(4)
differentiable rendering
(3)
self-supervised learning
(3)
zero-shot learning
(3)
pose estimation
(3)
behavior cloning
(3)
unsupervised learning
(3)
language model
(3)
Papers
Abstract 3D Perception for Spatial Intelligence in Vision-Language Models
CVPR 2026
Building a Precise Video Language with Human-AI Oversight
CVPR 2026
Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
ACL 2026
SIMPACT: Simulation-Enabled Action Planning using Vision-Language Models
CVPR 2026
Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint)
AAAI 2026
3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning
CVPR 2025
AdaWorld: Learning Adaptable World Models with Latent Actions
ICML 2025
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
ICLR 2025
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
ICLR 2025
Compositional Scene Understanding through Inverse Generative Modeling
ICML 2025
Grounding Video Models to Actions through Goal Conditioned Exploration
ICLR 2025
History-Guided Video Diffusion
ICML 2025
Learning 4D Embodied World Models
ICCV 2025
Looped Transformers for Length Generalization
ICLR 2025
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
ICLR 2025
Solving New Tasks by Adapting Internet Video Knowledge
ICLR 2025
3D-VLA: A 3D Vision-Language-Action Generative World Model
ICML 2024
Building Cooperative Embodied Agents Modularly with Large Language Models
ICLR 2024
Compositional Generative Inverse Design
ICLR 2024
Compositional Image Decomposition with Diffusion Models
ICML 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
NeurIPS 2024
Few-Shot Task Learning through Inverse Generative Modeling
NeurIPS 2024
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
ICLR 2024
Improving Factuality and Reasoning in Language Models through Multiagent Debate
ICML 2024
Large-scale Reinforcement Learning for Diffusion Models
ECCV 2024
Learning Interactive Real-World Simulators
ICLR 2024
Learning Iterative Reasoning through Energy Diffusion
ICML 2024
Learning to Act from Actionless Videos through Dense Correspondences
ICLR 2024
Learning to Jointly Understand Visual and Tactile Signals
ICLR 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning
RSS 2024
Position: Compositional Generative Modeling: A Single Model is Not All You Need
ICML 2024
Position: Video as the New Language for Real-World Decision Making
ICML 2024
Potential Based Diffusion Motion Planning
ICML 2024
Probabilistic Adaptation of Black-Box Text-to-Video Models
ICLR 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination
ICML 2024
Set It Up!: Functional Object Arrangement with Compositional Generative Models
RSS 2024
Training Diffusion Models with Reinforcement Learning
ICLR 2024
Video Language Planning
ICLR 2024
3D Concept Learning and Reasoning From Multi-View Images
CVPR 2023
3D-LLM: Injecting the 3D World into Large Language Models
NeurIPS 2023
Adaptive Online Replanning with Diffusion Models
NeurIPS 2023
Composing Ensembles of Pre-trained Models via Iterative Consensus
ICLR 2023
Compositional Diffusion-Based Continuous Constraint Solvers
CoRL 2023
Compositional Foundation Models for Hierarchical Planning
NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
NeurIPS 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
RSS 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
NeurIPS 2023
Inferring Relational Potentials in Interacting Systems
ICML 2023
Is Conditional Generative Modeling all you need for Decision Making?
ICLR 2023
Learning To Render Novel Views From Wide-Baseline Stereo Pairs
CVPR 2023
Learning Universal Policies via Text-Guided Video Generation
NeurIPS 2023
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
ICLR 2023
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects
RSS 2023
Planning with Sequence Models through Iterative Energy Minimization
ICLR 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
ICML 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models
NeurIPS 2023
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects
RSS 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
ICCV 2023
3D Concept Grounding on Neural Fields
NeurIPS 2022
Compositional Visual Generation with Composable Diffusion Models
ECCV 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
Learning Iterative Reasoning through Energy Minimization
ICML 2022
Learning Neural Acoustic Fields
NeurIPS 2022
MIRA: Mental Imagery for Robotic Affordances
CoRL 2022
Planning with Diffusion for Flexible Behavior Synthesis
ICML 2022
Pre-Trained Language Models for Interactive Decision-Making
NeurIPS 2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
CoRL 2022
Streaming Inference for Infinite Feature Models
ICML 2022
3D Shape Generation and Completion Through Point-Voxel Diffusion
ICCV 2021
Curious Representation Learning for Embodied Intelligence
ICCV 2021
Improved Contrastive Divergence Training of Energy-Based Models
ICML 2021
Learning Signal-Agnostic Manifolds of Neural Fields
NeurIPS 2021
Learning to Compose Visual Relations
NeurIPS 2021
Neural Radiance Flow for 4D View Synthesis and Video Processing
ICCV 2021
Unsupervised Discovery of 3D Physical Objects from Video
ICLR 2021
Unsupervised Learning of Compositional Energy Concepts
NeurIPS 2021
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
ICCV 2021
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
CoRL 2020
Compositional Visual Generation with Energy Based Models
NeurIPS 2020
Energy-based models for atomic-resolution protein conformations
ICLR 2020
Observational Overfitting in Reinforcement Learning
ICLR 2020
Implicit Generation and Modeling with Energy Based Models
NeurIPS 2019
Model-Based Planning with Energy-Based Models
CoRL 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
ICML 2019
Learning to Exploit Stability for 3D Scene Parsing
NeurIPS 2018