Shang Liu
15 papers · 2022–2026 · 9 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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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39) 🏆 Grand Slam 🗃️ Keyword Collector (79)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Deep Learning
(7)
Architectures
(6)
Core Methods
(6)
Application Areas
(5)
Core AI
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(5)
Computer Vision
(3)
Learning Paradigms
(3)
Models
(3)
Mathematics & Optimization
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Keywords
graph neural network
(4)
self-supervised learning
(3)
disentangled representation
(2)
circuit design
(2)
conformal prediction
(1)
information bottleneck
(1)
representation learning
(1)
resource allocation
(1)
image generation
(1)
knowledge distillation
(1)
multimodal learning
(1)
depth estimation
(1)
privacy preservation
(1)
uncertainty quantification
(1)
sensor fusion
(1)
gaussian splatting
(1)
feature disentanglement
(1)
privacy-preserving learning
(1)
human activity recognition
(1)
3d reconstruction
(1)
Papers
EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion
AAAI 2026
Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment
AAAI 2026
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
ICLR 2025
Federated Graph Condensation with Information Bottleneck Principles
AAAI 2025
MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model
CVPR 2025
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
ICML 2025
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition
IJCAI 2025
SynC-LLM: Generation of Large-Scale Synthetic Circuit Code with Hierarchical Language Models
EMNLP 2025
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing
ECCV 2024
When No-Rejection Learning is Consistent for Regression with Rejection
AISTATS 2024
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
NeurIPS 2023
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer
AAAI 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
ICML 2023
Non-stationary Bandits with Knapsacks
NeurIPS 2022