Shang Liu
15 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(9)
🏆
Grand Slam
🗃️
Keyword Collector
(70)
💎
Century Club
(13)
🔥
Unstoppable
(5)
⚡
Prolific Year
(7)
Conferences
AAAI (4)
ICML (2)
IJCAI (2)
NIPS (2)
AISTATS (1)
CVPR (1)
ECCV (1)
EMNLP (1)
ICLR (1)
Top co-authors
Research topics
Keywords
graph neural network
(3)
self-supervised learning
(2)
disentangled representation
(2)
3d reconstruction
(1)
information bottleneck
(1)
human activity recognition
(1)
conformal prediction
(1)
online convex optimization
(1)
depth estimation
(1)
privacy preservation
(1)
circuit design
(1)
gaussian splatting
(1)
sensor fusion
(1)
feature disentanglement
(1)
resource allocation
(1)
privacy-preserving learning
(1)
uncertainty quantification
(1)
surrogate loss
(1)
quantile estimation
(1)
image generation
(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
SynC-LLM: Generation of Large-Scale Synthetic Circuit Code with Hierarchical Language Models
EMNLP 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
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
ICLR 2025
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
ICML 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition
IJCAI 2025
When No-Rejection Learning is Consistent for Regression with Rejection
AISTATS 2024
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing
ECCV 2024
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
ICML 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
NIPS 2023
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer
AAAI 2023
Non-stationary Bandits with Knapsacks
NIPS 2022