Bin Shao
17 papers · 2020–2025 · 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 ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π§¬
Topic Evolution
π
Triple Crown
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(83)
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Keywords
density functional theory
(3)
equivariant graph neural network
(3)
knowledge distillation
(2)
model compression
(2)
geometric deep learning
(2)
contrastive learning
(2)
molecular dynamics
(2)
long-range interaction
(2)
neural network
(2)
many-body interaction
(2)
graph neural network
(2)
multimodal learning
(1)
transfer learning
(1)
image synthesis
(1)
attention mechanism
(1)
image generation
(1)
representation learning
(1)
self-supervised learning
(1)
neural network optimization
(1)
video captioning
(1)
Papers
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
ICML 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
ICLR 2025
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
ICCV 2025
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
NeurIPS 2024
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
ICLR 2024
MagicEraser: Erasing Any Objects via Semantics-Aware Control
ECCV 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
NeurIPS 2024
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
ICML 2024
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
NeurIPS 2024
CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval
CVPR 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
NeurIPS 2023
Geometric Transformer with Interatomic Positional Encoding
NeurIPS 2023
HiVLP: Hierarchical Interactive Video-Language Pre-Training
ICCV 2023
PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval
ICCV 2023
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
ICML 2022
Co-evolution Transformer for Protein Contact Prediction
NeurIPS 2021
SEEK: Segmented Embedding of Knowledge Graphs
ACL 2020