Tingyang Xu

27 papers · 2015–2025 · 8 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (8) 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (8) 🌟 Keyword Trendsetter Combo (3) 🏆 Grand Slam 🧬 Topic Evolution 👑 Triple Crown 🤝 Dynamic Duo (20) ⚡ Prolific Year (5) 💎 Century Club (27) 🔥 Unstoppable (7) 🗃️ Keyword Collector (113)

Conferences

AAAI (6) ICLR (6) NIPS (6) ICML (4) IJCAI (2) ACL (1) CVPR (1) EMNLP (1)

Top co-authors

Yu Rong (20) Junzhou Huang (15) Wenbing Huang (10) Yatao Bian (9) Peilin Zhao (7) Jia Li (6) Yifan Niu (4) Lanqing Li (3) Yang Liu (3) Fugee Tsung (3)

Keywords

graph neural network (8) neural network (2) adversarial attack (2) graph convolutional network (2) message passing (2) transfer learning (2) representation learning (2) langevin dynamics (1) stochastic gradient (1) model compression (1) variational inference (1) domain generalization (1) feature extraction (1) feature selection (1) adversarial robustness (1) matrix decomposition (1) data augmentation (1) knowledge editing (1) rumor detection (1) feature learning (1)

Papers

IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 2025 RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning ACL 2025 ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning EMNLP 2025 InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization ICLR 2025 Large Language-Geometry Model: When LLM meets Equivariance ICML 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 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 Handling Missing Data via Max-Entropy Regularized Graph Autoencoder AAAI 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023 Equivariant Graph Hierarchy-Based Neural Networks NIPS 2022 Local Augmentation for Graph Neural Networks ICML 2022 Equivariant Graph Mechanics Networks with Constraints ICLR 2022 Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning ICLR 2022 Learning Neural Set Functions Under the Optimal Subset Oracle NIPS 2022 Graph Information Bottleneck for Subgraph Recognition ICLR 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021 On Self-Distilling Graph Neural Network IJCAI 2021 Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks AAAI 2020 DropEdge: Towards Deep Graph Convolutional Networks on Node Classification ICLR 2020 Deep Multimodal Fusion by Channel Exchanging NIPS 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020 Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019 DTWNet: a Dynamic Time Warping Network NIPS 2019 Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015