Tingyang Xu
28 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (57) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Deep Specialist
(15)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Pioneer
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Grand Slam
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Dynamic Duo
(21)
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(24)
Deep Learning
(20)
Architectures
(17)
Artificial Intelligence
(10)
Core AI
(10)
Core Methods
(10)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(4)
Resources & Methods
(3)
Computer Vision
(2)
Models
(2)
Techniques
(2)
Keywords
graph neural network
(11)
message passing
(4)
graph convolutional network
(3)
adversarial attack
(2)
drug discovery
(2)
energy-based model
(2)
large language model
(2)
molecular dynamics
(2)
molecular generation
(2)
representation learning
(2)
neural network
(2)
equivariant encoder
(2)
variational inference
(2)
transfer learning
(2)
mutual information
(2)
equivariant graph neural network
(2)
langevin dynamics
(1)
domain generalization
(1)
adversarial robustness
(1)
stochastic gradient
(1)
Papers
STAR-R1: Multi-View Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
CVPR 2026
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
ICML 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
ICLR 2025
Large Language-Geometry Model: When LLM meets Equivariance
ICML 2025
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
EMNLP 2025
RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning
ACL 2025
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
ICLR 2024
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
IJCAI 2024
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery β a Focus on Affinity Prediction Problems with Noise Annotations
AAAI 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
AAAI 2023
MDM: Molecular Diffusion Model for 3D Molecule Generation
AAAI 2023
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
ICLR 2022
Equivariant Graph Hierarchy-Based Neural Networks
NeurIPS 2022
Equivariant Graph Mechanics Networks with Constraints
ICLR 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
NeurIPS 2022
Local Augmentation for Graph Neural Networks
ICML 2022
Graph Information Bottleneck for Subgraph Recognition
ICLR 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
NeurIPS 2021
On Self-Distilling Graph Neural Network
IJCAI 2021
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
AAAI 2020
Deep Multimodal Fusion by Channel Exchanging
NeurIPS 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
ICLR 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
AAAI 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
NeurIPS 2020
DTWNet: a Dynamic Time Warping Network
NeurIPS 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation
CVPR 2019
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
ICML 2015