Sirui Xie
18 papers · 2019–2026 · 7 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
Jump to papers ↓+5 more ↓ Show less ↑
🗺️ Taxonomy Completionist (45) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(89)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(10)
Artificial Intelligence
(9)
Core AI
(8)
Optimization & Theory
(6)
Learning Types · Machine Learning
(5)
Computer Vision
(4)
Architectures
(4)
Learning Types · Deep Learning
(4)
Models
(4)
Analysis
(3)
Core Methods
(3)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Methods
(2)
Keywords
energy-based model
(4)
neural architecture search
(4)
generative model
(3)
differentiable search
(3)
imitation learning
(2)
network architecture
(2)
expectation maximization
(2)
diffusion model
(2)
image segmentation
(1)
variational inference
(1)
semantic segmentation
(1)
scene understanding
(1)
foreground extraction
(1)
policy gradient
(1)
representation learning
(1)
reinforcement learning
(1)
text generation
(1)
model distillation
(1)
image generation
(1)
knowledge distillation
(1)
Papers
Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
CVPR 2026
Latent Thought Models with Variational Bayes Inference-Time Computation
ICML 2025
EM Distillation for One-step Diffusion Models
NeurIPS 2024
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
NeurIPS 2024
Structured-NeRF: Hierarchical Scene Graph with Neural Representation
ECCV 2024
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
NeurIPS 2023
Learning non-Markovian Decision-Making from State-only Sequences
NeurIPS 2023
COAT: Measuring Object Compositionality in Emergent Representations
ICML 2022
Emergent Graphical Conventions in a Visual Communication Game
NeurIPS 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
ICML 2022
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
ECCV 2022
Understanding the wiring evolution in differentiable neural architecture search
AISTATS 2021
Unsupervised Foreground Extraction via Deep Region Competition
NeurIPS 2021
DSNAS: Direct Neural Architecture Search Without Parameter Retraining
CVPR 2020
Graph-Guided Architecture Search for Real-Time Semantic Segmentation
CVPR 2020
Learning a Decision Module by Imitating Driver’s Control Behaviors
CoRL 2020
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
ICLR 2019
SNAS: stochastic neural architecture search
ICLR 2019