Yuzhou Chen

Jiue-An Yang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

LLM-Based Multi-Agent System and Simplicial Self-Supervised Learning Model for Regional Cancer Prevalence Estimation Using Satellite Imagery.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference.

[BibT_eX]

[DOI]

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

Stochastic Flow Inference for Medical Image Digital Twins.

[BibT_eX]

[DOI]

Zihao Wang

Herve Delingette

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

Pathological Complete Response Classification on HER2-Positive Breast Cancer Patients with Double-View Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

Understanding the Impact of Environmental Contexts on Lung Cancer with Simplicial Representation Learning and Remote Sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

Topology-Induced Graph Transformer for Graph Representation Learning.

[BibT_eX]

[DOI]

Peiyu Liang

Xubin He

Proceedings of the IEEE International Conference on Big Data, 2025

Bringing Shape to Spatio-Temporal Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

Conditional Prediction ROC Bands for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, August, 2024

A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, July, 2024

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke.

[BibT_eX]

[DOI]

Dataset, June, 2024

Motivations behind problematic short video use: A three-level meta-analysis.

[BibT_eX]

[DOI]

Telematics Informatics, 2024

Research on airport baggage anomaly retention detection technology based on machine vision, edge computing, and blockchain.

[BibT_eX]

[DOI]

IET Blockchain, 2024

Predicting Emergency Department Visits for Patients with Type II Diabetes.

[BibT_eX]

[DOI]

CoRR, 2024

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

HumanFT: A Human-like Fingertip Multimodal Visuo-Tactile Sensor.

[BibT_eX]

[DOI]

CoRR, 2024

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Link Prediction with the Dowker Complex.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Fragile Earth: Generative and Foundational Models for Sustainable Development.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A High-Throughput Lossless Image Compression Engine Optimized for Compression Ratio.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

VEGA: Implementing a Versatile and Efficient Deep Learning Processor with Graph-Based ALU.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Firecast Zigzag Convolutional Network for Wildfire Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Tensor-view Topological Graph Neural Network.

[BibT_eX]

[DOI]

Tao Wen

Elynn Y. Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TopoGCL: Topological Graph Contrastive Learning.

[BibT_eX]

[DOI]

José Frías

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A space-time flow LISA approach for panel flow data.

[BibT_eX]

[DOI]

Ran Tao

Jean-Claude Thill

Comput. Environ. Urban Syst., December, 2023

Exploring the spatiotemporal relationships between search flows and travel flows.

[BibT_eX]

[DOI]

Trans. GIS, August, 2023

Seven open problems in applied combinatorics.

[BibT_eX]

[DOI]

Nate Veldt

Stephen J. Young

CoRR, 2023

H<sup>2</sup>-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting.

[BibT_eX]

[DOI]

Tian Jiang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

EMP: Effective Multidimensional Persistence for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

O<sup>3</sup>NMS: An Out-Of-Order-Based Low-Latency Accelerator for Non-Maximum Suppression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting.

[BibT_eX]

[DOI]

Sotiris Batsakis

H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2023

FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Topological Pooling on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A new urban change detection method based on the local G and local spatial heteroscedasticity statistics.

[BibT_eX]

[DOI]

Ran Tao

Trans. GIS, 2022

TopoAttn-Nets: Topological Attention in Graph Representation Learning.

[BibT_eX]

[DOI]

Elena Sizikova

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning.

[BibT_eX]

[DOI]

Zhiwei Zhen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.

[BibT_eX]

[DOI]

Andac Demir

Bulent Kiziltan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting.

[BibT_eX]

[DOI]

H. Vincent Poor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting.

[BibT_eX]

[DOI]

Abdullah al-Raihan Nayeem

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning on Health Fairness and Environmental Justice via Interactive Visualization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

BScNets: Block Simplicial Complex Neural Networks.

[BibT_eX]

[DOI]

H. Vincent Poor

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity.

[BibT_eX]

[DOI]

CoRR, 2021

Topological Relational Learning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning.

[BibT_eX]

[DOI]

Yuliya Marchetti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Topological Machine Learning Methods for Power System Responses to Contingencies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Examining spatial accessibility to COVID-19 testing sites in Florida.

[BibT_eX]

[DOI]

Ann. GIS, 2020

LFGCN: Levitating over Graphs with Levy Flights.

[BibT_eX]

[DOI]

Konstantin Avrachenkov

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Deep Learning Ethereum Token Price Prediction with Network Motif Analysis.

[BibT_eX]

[DOI]