| 2026 | WWW | Multi-Modal Enhanced Graph Transfer Learning for Digital Finance Fraud Detection. | Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Chenguang Yang, Zihao Wang, Yulia R. Gel, Yuzhou Chen |
| 2025 | AAAI | When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. | Naheed Anjum Arafat, Debabrota Basu, Yulia Gel, Yuzhou Chen |
| 2025 | AISTATS | Conditional Prediction ROC Bands for Graph Classification. | Yujia Wu, Bo Yang, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng |
| 2025 | CHASE | Pathological Complete Response Classification on HER2-Positive Breast Cancer Patients with Double-View Graph Contrastive Learning. | Dechuang Jiao, Yanqiu Shao, Xiaohan Guo, Zihan Lin, Junchao Fei, Chenguang Yang, Yuzhou Chen, Huanmei Wu |
| 2025 | CHASE | Stochastic Flow Inference for Medical Image Digital Twins. | Zihao Wang, Yuzhou Chen, Herve Delingette |
| 2025 | DAC | KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference. | Zhenyu Li, Dongxu Lyu, Gang Wang, Yuzhou Chen, Liyan Chen, Wenjie Li, Jianfei Jiang, Yanan Sun, Guanghui He |
| 2025 | ICASSP | Fusing Multimodality of Large Language Models and Satellite Imagery via Simplicial Contrastive Learning for Latent Urban Feature Identification and Environmental Application. | Yuzhou Chen, Jiue-An Yang, Hugo Kyo Lee, Calvin P. Tribby, Tarik Benmarhnia, Marta M. Jankowska, Yulia R. Gel |
| 2025 | ICASSP | Topology-Informed Pre-training of Graph Neural Networks. | Peiyu Liang, Yulia R. Gel, Yuzhou Chen |
| 2025 | ICDM | When LLM Meets Simplicial Complex: A Novel Graph Prompt Learning on Ethereum Transaction Networks. | Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Yuzhou Chen |
| 2025 | ICDM | Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting. | Yang Zhao, Yuzhou Chen, Xinghua Shi |
| 2025 | ICDM | Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting. | Yang Zhao, Yuzhou Chen, Xinghua Shi |
| 2025 | ICLR | Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs. | Yuzhou Chen, Yulia R. Gel |
| 2025 | ICML | TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction. | Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, Hao Jiang |
| 2025 | IROS | Touch-Linked Sleeve: A Haptic Interface for Augmented Tactile Perception in Robotic Teleoperation. | Yatao Leng, Yuzhou Chen, Ziyuan Tang, Chenxi Xiao |
| 2025 | ICRA | HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor. | Yifan Wu, Yuzhou Chen, Zhengying Zhu, Xuhao Qin, Chenxi Xiao |
| 2025 | IWQoS | Joint Swapping and Purification with Failures for Entanglement Distribution in Quantum Networks. | Jiyao Liu, Xinwen Zhang, Xinliang Wei, Xuanzhang Liu, Yuzhou Chen, Hongchang Gao, Yu Wang |
| 2025 | KDD | Fragile Earth: Innovative AI For Climate Risk Mitigation. | Emre Eftelioglu, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Kathleen Buckingham, Auroop R. Ganguly, James Hodson |
| 2025 | MICRO | ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System. | Sixu Li, Yuzhou Chen, Chaojian Li, Yonggan Fu, Zheng Wang, Zhongzhi Yu, Haoran You, Zhifan Ye, Wei Zhou, Yongan Zhang, Yingyan (Celine) Lin |
| 2025 | PAKDD | Safety and Public Protection: Predicting and Analyzing Incidents with Large Language Model-Based Zigzag Graph Neural Networks. | 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 | PAKDD | Tensor-Fused Multi-view Graph Contrastive Learning. | Yujia Wu, Junyi Mo, Elynn Y. Chen, Yuzhou Chen |
| 2025 | WWW | Few-shot Learning over Graphs Using Topological Prompts. | Jaidev Goel, Yuzhou Chen, Yulia R. Gel |
| 2024 | AAAI | TopoGCL: Topological Graph Contrastive Learning. | Yuzhou Chen, Jos Fras, Yulia R. Gel |
| 2024 | AAAI | SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. | Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel |
| 2024 | AAAI | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. | Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel |
| 2024 | AIME | Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data. | Yilin Zhang, Shuo Chen, Rozalina G. McCoy, Chixiang Chen, Yuzhou Chen |
| 2024 | AISTATS | Tensor-view Topological Graph Neural Network. | Tao Wen, Elynn Y. Chen, Yuzhou Chen |
| 2024 | DAC | DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. | Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He |
| 2024 | ICCD | VEGA: Implementing a Versatile and Efficient Deep Learning Processor with Graph-Based ALU. | Wenqiang Wang, Yuzhou Chen, Guanting Huo, Guanghui He, Ningyi Xu |
| 2024 | ISCAS | A High-Throughput Lossless Image Compression Engine Optimized for Compression Ratio. | Siqi Cai, Yuzhou Chen, Wenhui Zhang, Zeyuan Jin, Gang Wang, Hao Chen, Guanghui He |
| 2024 | KDD | Fragile Earth: Generative and Foundational Models for Sustainable Development. | Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao |
| 2024 | PAKDD | Revisiting Link Prediction with the Dowker Complex. | Jae Won Choi, Yuzhou Chen, Jos Fras, Joel Chacn Castillo, Yulia R. Gel |
| 2023 | AAAI | Topological Pooling on Graphs. | Yuzhou Chen, Yulia R. Gel |
| 2023 | AAAI | Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). | Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel |
| 2023 | DAC | FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. | Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He |
| 2023 | ICASSP | Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting. | Yuzhou Chen, Sotiris Batsakis, H. Vincent Poor |
| 2023 | ICCAD | SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. | Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He |
| 2023 | ICRA | Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. | Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury |
| 2023 | ISCAS | O | Yuzhou Chen, Jinming Zhang, Dongxu Lv, Xi Yu, Guanghui He |
| 2023 | KDD | Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. | 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 | PAKDD | Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. | Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel |
| 2022 | AAAI | BScNets: Block Simplicial Complex Neural Networks. | Yuzhou Chen, Yulia R. Gel, H. Vincent Poor |
| 2022 | AAAI | TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. | Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel |
| 2022 | ICLR | TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. | Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel |
| 2022 | PAKDD | Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. | Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel |
| 2021 | AAAI | Topological Machine Learning Methods for Power System Responses to Contingencies. | Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel |
| 2021 | AAAI | Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. | Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel |
| 2021 | ICML | Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. | Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel |
| 2021 | KDD | Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. | Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel |
| 2020 | ICDM | LFGCN: Levitating over Graphs with Levy Flights. | Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov |
| 2019 | ICDM | Deep Learning Ethereum Token Price Prediction with Network Motif Analysis. | Yuzhou Chen, Hon Keung Tony Ng |
| 2018 | PAKDD | Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. | Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship |