Skip to content
conftrace_

Yuzhou Chen

19 papers · 2021–2025 · 5 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 ↓
+9 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (43) 🀝 Dynamic Duo (10)
πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ† Keyword Champion (11) 🌈 Renaissance Researcher (8) πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (88) πŸ’Ž Century Club Β· Bronze

Venues

AAAI (10) NeurIPS (3) AISTATS (2) ICLR (2) ICML (2)

Top co-authors

Yulia R. Gel (10) Yulia Gel (7) Baris Coskunuzer (4) Ignacio Segovia-Dominguez (3) Elynn Chen (2) Yuliya Marchetti (2) H. Vincent Poor (2) Tao Wen (1) Andaç Demir (1) Naheed Anjum Arafat (1)

Research topics

Machine Learning (19) Deep Learning (15) Architectures (14) Core Methods (12) Learning Types Β· Machine Learning (7) Mathematics & Optimization (5) Artificial Intelligence (4) Application Areas (4) Core AI (4) Learning Types Β· Deep Learning (4) Mathematics (4) Data Science & Analytics (3) Methods (3) Optimization & Theory (3) Techniques (3)

Keywords

graph neural network (11) topological data analysis (11) persistent homology (8) graph classification (4) time series forecasting (3) simplicial neural network (3) graph convolutional network (2) knowledge representation (2) higher-order interaction (2) link prediction (2) witness complex (2) topological deep learning (2) convolutional neural network (2) zigzag persistence (2) geometric deep learning (1) adversarial robustness (1) graph generation (1) adversarial learning (1) unsupervised learning (1) graph representation learning (1)

Papers

Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction ICML 2025 Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs ICLR 2025 When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Tensor-view Topological Graph Neural Network AISTATS 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 TopoGCL: Topological Graph Contrastive Learning AAAI 2024 Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract) AAAI 2023 Topological Pooling on Graphs AAAI 2023 BScNets: Block Simplicial Complex Neural Networks AAAI 2022 TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting ICLR 2022 TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning AAAI 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery NeurIPS 2022 Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning AAAI 2021 Topological Machine Learning Methods for Power System Responses to Contingencies AAAI 2021 Topological Relational Learning on Graphs NeurIPS 2021 Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting ICML 2021