Yuzhou Chen - RankMe

114 papers A* 30A 4B 9C 3Misc 3Journal 48Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation. CoRR Zihao Wang, Yuzhou Chen, Shaogang Ren
2026	J	`jnl`	Large Language Models (LLMs) for Network Traffic Prediction: A Trend-Aware Hybrid Framework. IEEE Internet Things J. Yuzhou Chen, Kwok-Yan Lam, Feng Li
2026	A*	`conf`	Multi-Modal Enhanced Graph Transfer Learning for Digital Finance Fraud Detection. WWW Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Chenguang Yang, Zihao Wang, Yulia R. Gel, Yuzhou Chen
2026	J	`jnl`	Swapping and Purification Scheme Optimization for Entanglement Distribution in Quantum Networks. IEEE Trans. Netw. Jiyao Liu, Xinwen Zhang, Xinliang Wei, Xuanzhang Liu, Yuzhou Chen, Hongchang Gao, Yu Wang
2026	J	`jnl`	Topology-Guided Graph Pre-training and Prompt Learning on Directed Graphs. Trans. Mach. Learn. Res. Peiyu Liang, Chenguang Yang, Yixuan He, Rong Pan, Yuzhou Chen
2025	J	`jnl`	A High-Speed Dynamic Measurement Method for Checked Luggage Dimensions. IET Image Process. Yuzhou Chen, Bin Zhang, Hongqing Song, Mingqian Du
2025	J	`jnl`	Addressing the fixed effects in gravity model based on higher-order origin-destination pairs. Int. J. Geogr. Inf. Sci. Yuzhou Chen, Qiwei Ma, Ran Tao
2025	J	`jnl`	An Efficient Multi-View Cross-Attention Accelerator for Vision-Centric 3D Perception in Autonomous Driving. IEEE Trans. Circuits Syst. I Regul. Pap. Dongxu Lyu, Zhenyu Li, Yansong Xu, Gang Wang, Wenjie Li, Yuzhou Chen, Liyan Chen, Weifeng He, Guanghui He
2025	—	`conf`	Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation. CPAL Tao Wen, Elynn Y. Chen, Yuzhou Chen, Qi Lei
2025	J	`jnl`	Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation. CoRR Tao Wen, Elynn Y. Chen, Yuzhou Chen, Qi Lei
2025	B	`conf`	Bringing Shape to Spatio-Temporal Graph Contrastive Learning. IEEE Big Data Yuzhou Chen, Yulia R. Gel
2025	A	`conf`	Conditional Prediction ROC Bands for Graph Classification. AISTATS Yujia Wu, Bo Yang, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng
2025	—	`conf`	Few-shot Learning over Graphs Using Topological Prompts. WWW (Companion Volume) Jaidev Goel, Yuzhou Chen, Yulia R. Gel
2025	—	`conf`	Fragile Earth: Innovative AI For Climate Risk Mitigation. KDD (2) Emre Eftelioglu, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Kathleen Buckingham, Auroop R. Ganguly, James Hodson
2025	Misc	`conf`	Fusing Multimodality of Large Language Models and Satellite Imagery via Simplicial Contrastive Learning for Latent Urban Feature Identification and Environmental Application. ICASSP Yuzhou Chen, Jiue-An Yang, Hugo Kyo Lee, Calvin P. Tribby, Tarik Benmarhnia, Marta M. Jankowska, Yulia R. Gel
2025	A*	`conf`	HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor. ICRA Yifan Wu, Yuzhou Chen, Zhengying Zhu, Xuhao Qin, Chenxi Xiao
2025	B	`conf`	Joint Swapping and Purification with Failures for Entanglement Distribution in Quantum Networks. IWQoS Jiyao Liu, Xinwen Zhang, Xinliang Wei, Xuanzhang Liu, Yuzhou Chen, Hongchang Gao, Yu Wang
2025	A*	`conf`	KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference. DAC Zhenyu Li, Dongxu Lyu, Gang Wang, Yuzhou Chen, Liyan Chen, Wenjie Li, Jianfei Jiang, Yanan Sun, Guanghui He
2025	—	`conf`	LLM-Based Multi-Agent System and Simplicial Self-Supervised Learning Model for Regional Cancer Prevalence Estimation Using Satellite Imagery. SIGSPATIAL/GIS Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Huikyo Lee, Loretta Erhunmwunsee, Tarik Benmarhnia, Caroline A. Thompson, Yulia R. Gel, Marta M. Jankowska
2025	J	`jnl`	Neural Rendering Acceleration With Deferred Neural Decoding and Voxel-Centric Data Flow. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yuzhou Chen, Zhenyu Li, Dongxu Lyu, Yansong Xu, Guanghui He
2025	A*	`conf`	ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System. MICRO Sixu Li, Yuzhou Chen, Chaojian Li, Yonggan Fu, Zheng Wang, Zhongzhi Yu, Haoran You, Zhifan Ye, Wei Zhou, Yongan Zhang, Yingyan (Celine) Lin
2025	J	`jnl`	POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning. CoRR Fangyi Cao, Bin Ren, Zihao Wang, Shiwei Fu, Youbin Mo, Xiaoyang Liu, Yuzhou Chen, Weixin Yao
2025	B	`conf`	Pathological Complete Response Classification on HER2-Positive Breast Cancer Patients with Double-View Graph Contrastive Learning. CHASE Dechuang Jiao, Yanqiu Shao, Xiaohan Guo, Zihan Lin, Junchao Fei, Chenguang Yang, Yuzhou Chen, Huanmei Wu
2025	J	`jnl`	Rethinking shrinking cities through urban flows: Network-based insights into coordinated development. Urban Inform. Yuzhou Chen, Ran Tao, Qiwei Ma
2025	—	`conf`	Safety and Public Protection: Predicting and Analyzing Incidents with Large Language Model-Based Zigzag Graph Neural Networks. PAKDD (2) Hassan A. Shafei, Yang Zhao, Christian Martin, Javad M. Alizadeh, Karin M. Eyrich-Garg, Omar Martinez, Ying Ding, Chiu C. Tan, Huanmei Wu, Yuzhou Chen
2025	J	`jnl`	Stochastic Block Model-Aware Topological Neural Networks for Graph Link Prediction. Trans. Mach. Learn. Res. Yuzhou Chen, Xiao Guo, Shujie Ma
2025	B	`conf`	Stochastic Flow Inference for Medical Image Digital Twins. CHASE Zihao Wang, Yuzhou Chen, Herve Delingette
2025	A*	`conf`	TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction. ICML Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, Hao Jiang
2025	J	`jnl`	TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction. CoRR Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, Hao Jiang
2025	—	`conf`	Tensor-Fused Multi-view Graph Contrastive Learning. PAKDD (7) Yujia Wu, Junyi Mo, Elynn Y. Chen, Yuzhou Chen
2025	A*	`conf`	Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs. ICLR Yuzhou Chen, Yulia R. Gel
2025	B	`conf`	Topology-Induced Graph Transformer for Graph Representation Learning. IEEE Big Data Peiyu Liang, Yuzhou Chen, Xubin He
2025	Misc	`conf`	Topology-Informed Pre-training of Graph Neural Networks. ICASSP Peiyu Liang, Yulia R. Gel, Yuzhou Chen
2025	A	`conf`	Touch-Linked Sleeve: A Haptic Interface for Augmented Tactile Perception in Robotic Teleoperation. IROS Yatao Leng, Yuzhou Chen, Ziyuan Tang, Chenxi Xiao
2025	A*	`conf`	Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting. ICDM Yang Zhao, Yuzhou Chen, Xinghua Shi
2025	—	`conf`	Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting. ICDM (Workshops) Yang Zhao, Yuzhou Chen, Xinghua Shi
2025	B	`conf`	Understanding the Impact of Environmental Contexts on Lung Cancer with Simplicial Representation Learning and Remote Sensing. IEEE Big Data Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Loretta Erhunmwunsee, Caroline A. Thompson, Tarik Benmarhnia, Hugo Kyo Lee, Marta M. Jankowska, Yulia R. Gel
2025	A*	`conf`	When LLM Meets Simplicial Complex: A Novel Graph Prompt Learning on Ethereum Transaction Networks. ICDM Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Yuzhou Chen
2025	A*	`conf`	When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. AAAI Naheed Anjum Arafat, Debabrota Basu, Yulia Gel, Yuzhou Chen
2024	J	`jnl`	A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors. IEEE Trans. Circuits Syst. II Express Briefs Yuzhou Chen, Jinming Zhang, Dongxu Lyu, Zhenyu Li, Guanghui He
2024	C	`conf`	A High-Throughput Lossless Image Compression Engine Optimized for Compression Ratio. ISCAS Siqi Cai, Yuzhou Chen, Wenhui Zhang, Zeyuan Jin, Gang Wang, Hao Chen, Guanghui He
2024	J	`jnl`	Conditional Prediction ROC Bands for Graph Classification. CoRR Yujia Wu, Bo Yang, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng
2024	J	`jnl`	Conditional Uncertainty Quantification for Tensorized Topological Neural Networks. CoRR Yujia Wu, Bo Yang, Yang Zhao, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng
2024	A*	`conf`	DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. DAC Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024	J	`jnl`	DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. CoRR Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024	J	`jnl`	Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation. CoRR Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu
2024	J	`jnl`	EMP: Effective Multidimensional Persistence for Graph Representation Learning. CoRR Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
2024	B	`conf`	Firecast Zigzag Convolutional Network for Wildfire Prediction. IEEE Big Data Yuzhou Chen, Joel Chacón Castillo, Huikyo Lee, Yulia R. Gel
2024	A*	`conf`	Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
2024	J	`jnl`	HumanFT: A Human-like Fingertip Multimodal Visuo-Tactile Sensor. CoRR Yifan Wu, Yuzhou Chen, Zhengying Zhu, Xuhao Qin, Chenxi Xiao
2024	J	`jnl`	Motivations behind problematic short video use: A three-level meta-analysis. Telematics Informatics Yuzhou Chen, Wanshuang Zhang, Na Zhong, Min Zhao
2024	—	`conf`	Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data. AIME (2) Yilin Zhang, Shuo Chen, Rozalina G. McCoy, Chixiang Chen, Yuzhou Chen
2024	J	`jnl`	Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Trans. Medical Imaging Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu
2024	J	`jnl`	Predicting Emergency Department Visits for Patients with Type II Diabetes. CoRR Javad M. Alizadeh, Jay S. Patel, Gabriel Tajeu, Yuzhou Chen, Ilene L. Hollin, Mukesh K. Patel, Junchao Fei, Huanmei Wu
2024	J	`jnl`	Research on airport baggage anomaly retention detection technology based on machine vision, edge computing, and blockchain. IET Blockchain Yuzhou Chen, Gang Mao, Xue Yang, Mingqian Du, Hongqing Song
2024	—	`conf`	Revisiting Link Prediction with the Dowker Complex. PAKDD (2) Jae Won Choi, Yuzhou Chen, José Frías, Joel Chacón Castillo, Yulia R. Gel
2024	A*	`conf`	SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. AAAI Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel
2024	J	`jnl`	TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting. CoRR Linghang Kong, Elynn Y. Chen, Yuzhou Chen, Yuefeng Han
2024	J	`jnl`	Tensor-Fused Multi-View Graph Contrastive Learning. CoRR Yujia Wu, Junyi Mo, Elynn Y. Chen, Yuzhou Chen
2024	A	`conf`	Tensor-view Topological Graph Neural Network. AISTATS Tao Wen, Elynn Y. Chen, Yuzhou Chen
2024	J	`jnl`	Tensor-view Topological Graph Neural Network. CoRR Tao Wen, Elynn Y. Chen, Yuzhou Chen
2024	A*	`conf`	Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
2024	J	`jnl`	Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
2024	A*	`conf`	TopoGCL: Topological Graph Contrastive Learning. AAAI Yuzhou Chen, José Frías, Yulia R. Gel
2024	J	`jnl`	TopoGCL: Topological Graph Contrastive Learning. CoRR Yuzhou Chen, José Frías, Yulia R. Gel
2024	C	`conf`	VEGA: Implementing a Versatile and Efficient Deep Learning Processor with Graph-Based ALU. ICCD Wenqiang Wang, Yuzhou Chen, Guanting Huo, Guanghui He, Ningyi Xu
2024	J	`jnl`	When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. CoRR Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen
2023	J	`jnl`	A space-time flow LISA approach for panel flow data. Comput. Environ. Urban Syst. Ran Tao, Yuzhou Chen, Jean-Claude Thill
2023	—	`conf`	EMP: Effective Multidimensional Persistence for Graph Representation Learning. LoG Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
2023	A*	`conf`	Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. ICRA Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
2023	J	`jnl`	Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. CoRR Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
2023	J	`jnl`	Exploring the spatiotemporal relationships between search flows and travel flows. Trans. GIS Yuzhou Chen, Zhaoya Gong, Qiwei Ma, Ran Tao
2023	A*	`conf`	FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. DAC Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He
2023	A*	`conf`	Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
2023	A*	`conf`	Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). AAAI Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel
2023	—	`conf`	H ECML/PKDD (5) Yuzhou Chen, Tian Jiang, Yulia R. Gel
2023	Misc	`conf`	Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting. ICASSP Yuzhou Chen, Sotiris Batsakis, H. Vincent Poor
2023	C	`conf`	O ISCAS Yuzhou Chen, Jinming Zhang, Dongxu Lv, Xi Yu, Guanghui He
2023	J	`jnl`	Seven open problems in applied combinatorics. CoRR Sinan G. Aksoy, Ryan S. Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young
2023	A	`conf`	SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. ICCAD Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He
2023	J	`jnl`	SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. CoRR Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He
2023	—	`conf`	Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
2023	A*	`conf`	Topological Pooling on Graphs. AAAI Yuzhou Chen, Yulia R. Gel
2023	J	`jnl`	Topological Pooling on Graphs. CoRR Yuzhou Chen, Yulia R. Gel
2023	—	`conf`	United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. LoG Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel
2022	J	`jnl`	A new urban change detection method based on the local G and local spatial heteroscedasticity statistics. Trans. GIS Yuzhou Chen, Ran Tao
2022	A*	`conf`	BScNets: Block Simplicial Complex Neural Networks. AAAI Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
2022	B	`conf`	Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. IEEE Big Data Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
2022	J	`jnl`	Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
2022	B	`conf`	Learning on Health Fairness and Environmental Justice via Interactive Visualization. IEEE Big Data Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
2022	J	`jnl`	Learning on Health Fairness and Environmental Justice via Interactive Visualization. CoRR Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
2022	A*	`conf`	TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. ICLR Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel
2022	A*	`conf`	TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
2022	A*	`conf`	Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting. NeurIPS Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
2022	—	`conf`	Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. PAKDD (2) Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
2022	A*	`conf`	ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan
2022	J	`jnl`	ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan
2022	—	`conf`	TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) Yuzhou Chen, Elena Sizikova, Yulia R. Gel
2021	J	`jnl`	BScNets: Block Simplicial Complex Neural Networks. CoRR Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
2021	A*	`conf`	Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. AAAI Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel
2021	A*	`conf`	Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. KDD Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel
2021	A*	`conf`	Topological Machine Learning Methods for Power System Responses to Contingencies. AAAI Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel
2021	A*	`conf`	Topological Relational Learning on Graphs. NeurIPS Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
2021	J	`jnl`	Topological Relational Learning on Graphs. CoRR Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
2021	J	`jnl`	Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. CoRR Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel
2021	A*	`conf`	Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
2021	J	`jnl`	Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
2020	J	`jnl`	Examining spatial accessibility to COVID-19 testing sites in Florida. Ann. GIS Ran Tao, Joni Downs, Theresa M. Beckie, Yuzhou Chen, Warren McNelley
2020	A*	`conf`	LFGCN: Levitating over Graphs with Levy Flights. ICDM Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
2020	J	`jnl`	LFGCN: Levitating over Graphs with Levy Flights. CoRR Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
2019	—	`conf`	Deep Learning Ethereum Token Price Prediction with Network Motif Analysis. ICDM Workshops Yuzhou Chen, Hon Keung Tony Ng
2019	J	`jnl`	Snowboot: Bootstrap Methods for Network Inference. CoRR Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
2018	—	`conf`	Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. PAKDD (1) Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship
2018	J	`jnl`	Snowboot: Bootstrap Methods for Network Inference. R J. Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati