Xinran Wang
9 papers · 2020–2026 · 6 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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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Prolific Year · Productive
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Keyword Collector
(52)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Core AI
(5)
Deep Learning
(4)
Application Areas
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Keywords
inference efficiency
(2)
neural network pruning
(1)
privacy-preserving learning
(1)
probabilistic modeling
(1)
image restoration
(1)
signal representation
(1)
curriculum learning
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
batch normalization
(1)
supervised learning
(1)
distributed learning
(1)
privacy preservation
(1)
image dehazing
(1)
neural tangent kernel
(1)
collaborative learning
(1)
variance
(1)
inverse problem
(1)
primal-dual method
(1)
federated learning
(1)
Papers
Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation
CVPR 2026
Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling
EMNLP 2025
AID: Adaptive Integration of Detectors for Safe AI with Language Models
NAACL 2025
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
AAAI 2025
MAP: Multi-Human-Value Alignment Palette
ICLR 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
ICLR 2025
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks
CVPR 2024
Information Laundering for Model Privacy
ICLR 2021
Assisted Learning: A Framework for Multi-Organization Learning
NeurIPS 2020