Yan Wu
19 papers · 2011–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (9) π Academic Marathon (14) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (34)
πΊοΈ
Taxonomy Completionist
(34)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
π
Century Club
(18)
π
Conference Pioneer
π
Trend Setter
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(72)
β‘
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
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