← Authors

Yan Wu

19 papers · 2011–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (14) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (34) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam πŸ’Ž Century Club (18) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (72) ⚑ Prolific Year (5)

Conferences

AAAI (4) NIPS (4) ICLR (3) ICML (3) CVPR (1) ECCV (1) ICCV (1) IJCAI (1) IJCNLP (1)

Top co-authors

Timothy Lillicrap (4) Richard Bonneau (2) Isidro Hotzel (2) Luc Van Gool (2) Vladimir Gligorijevic (2) Julien Lafrance-Vanasse (2) Kyunghyun Cho (2) Karol Gregor (2) Zhiwu Huang (2) Andreas Loukas (2)

Keywords

diffusion model (3) generative adversarial network (3) generative model (2) neural architecture search (2) network architecture (1) robotic manipulation (1) compressed sensing (1) object detection (1) false discovery rate (1) motion estimation (1) knowledge distillation (1) incremental learning (1) conditional generation (1) variational inference (1) behavior cloning (1) robot learning (1) lyapunov function (1) belief state (1) gradient descent (1) manifold learning (1)

Papers

Effective Robotic Cloth Grasping Through Suppressing False Discoveries AAAI 2026
UniPhys: Unified Planner and Controller with Diffusion for Flexible Physics-Based Character Control ICCV 2025
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection AAAI 2025
LEMoN: Label Error Detection using Multimodal Neighbors ICML 2025
Protein Discovery with Discrete Walk-Jump Sampling ICLR 2024
AbDiffuser: full-atom generation of in-vitro functioning antibodies NIPS 2023
SAGA: Stochastic Whole-Body Grasping with Contact ECCV 2022
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow CVPR 2022
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory ICLR 2021
TAILOR: Teaching with Active and Incremental Learning for Object Registration AAAI 2021
Neural Architecture Search as Sparse Supernet AAAI 2021
Discretization Drift in Two-Player Games ICML 2021
Neural Architecture Search of SPD Manifold Networks IJCAI 2021
Training Generative Adversarial Networks by Solving Ordinary Differential Equations NIPS 2020
Deep Compressed Sensing ICML 2019
Shaping Belief States with Generative Environment Models for RL NIPS 2019
The Kanerva Machine: A Generative Distributed Memory ICLR 2018
Learning Attractor Dynamics for Generative Memory NIPS 2018
Efficient Near-Duplicate Detection for Q&A Forum IJCNLP 2011