Fang Wu
16 papers · 2023–2025 · 8 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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(7)
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Research topics
Machine Learning
(15)
Deep Learning
(12)
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(11)
Artificial Intelligence
(10)
Core Methods
(7)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(5)
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(4)
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(3)
Models
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Healthcare & Medicine
(2)
Research
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Computer Science
(1)
Computer Vision
(1)
Keywords
graph neural network
(6)
semi-supervised learning
(3)
transformer architecture
(3)
large language model
(2)
molecular property prediction
(2)
transfer learning
(2)
molecular dynamics
(2)
cross-domain learning
(1)
few-shot learning
(1)
reinforcement learning
(1)
curriculum learning
(1)
self-supervised learning
(1)
graph classification
(1)
point cloud
(1)
efficient computing
(1)
relational learning
(1)
graph representation
(1)
geometric deep learning
(1)
natural language processing
(1)
pseudo labeling
(1)
Papers
AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints
WACV 2025
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity
EMNLP 2025
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025
Large Language Models are Good Relational Learners
ACL 2025
LocAgent: Graph-Guided LLM Agents for Code Localization
ACL 2025
Predicting mutational effects on protein binding from folding energy
ICML 2025
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
IJCAI 2024
InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem
EMNLP 2024
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
NeurIPS 2024
SemiReward: A General Reward Model for Semi-supervised Learning
ICLR 2024
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
ICML 2024
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
NeurIPS 2023
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
ICML 2023
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations
AAAI 2023
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs
AAAI 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
ICML 2023