Liang Zhao

IEEE Trans. Knowl. Data Eng., December, 2024

Controllable Data Generation by Deep Learning: A Review.

[BibT_eX]

[DOI]

ACM Comput. Surv., September, 2024

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.

[BibT_eX]

[DOI]

ACM Comput. Surv., July, 2024

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

ACM Comput. Surv., May, 2024

Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Functional Connectivity Prediction With Deep Learning for Graph Transformation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2024

Deep graph representation learning influence maximization with accelerated inference.

[BibT_eX]

[DOI]

Neural Networks, 2024

Quantifying uncertainty in graph neural network explanations.

[BibT_eX]

[DOI]

Frontiers Big Data, 2024

FedSpaLLM: Federated Pruning of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation.

[BibT_eX]

[DOI]

CoRR, 2024

LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multi-modal Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations.

[BibT_eX]

[DOI]

CoRR, 2024

Link Prediction on Textual Edge Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

GRAG: Graph Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Network Interdiction Goes Neural.

[BibT_eX]

[DOI]

CoRR, 2024

Continuous Temporal Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.

[BibT_eX]

[DOI]

CoRR, 2024

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Explaining latent representations of generative models with large multimodal models.

[BibT_eX]

[DOI]

CoRR, 2024

3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration.

[BibT_eX]

[DOI]

CoRR, 2024

Gene-associated Disease Discovery Powered by Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

STES: A Spatiotemporal Explanation Supervision Framework.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Helper Recommendation with seniority control in Online Health Community.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Non-Euclidean Spatial Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Self-Similar Graph Neural Network for Hierarchical Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Uncertainty Quantification for In-Context Learning of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation.

[BibT_eX]

[DOI]

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

Representation Learning of Geometric Trees.

[BibT_eX]

[DOI]

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

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.

[BibT_eX]

[DOI]

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

Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.

[BibT_eX]

[DOI]

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

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.

[BibT_eX]

[DOI]

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

Source Localization for Cross Network Information Diffusion.

[BibT_eX]

[DOI]

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

The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).

[BibT_eX]

[DOI]

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

Visual Attention Prompted Prediction and Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Distilling Large Language Models for Text-Attributed Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Unifying Spectral and Spatial Graph Neural Networks.

[BibT_eX]

[DOI]

Zhiqian Chen

Lei Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.

[BibT_eX]

[DOI]

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

ELAD: Explanation-Guided Large Language Models Active Distillation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Deep Graph Translation.

[BibT_eX]

[DOI]

Lingfei Wu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., September, 2023

Motif-guided heterogeneous graph deep generation.

[BibT_eX]

[DOI]

Carl Yang

Knowl. Inf. Syst., July, 2023

A Systematic Survey on Deep Generative Models for Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.

[BibT_eX]

[DOI]

Frontiers Big Data, January, 2023

Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2023

Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Scope.

[BibT_eX]

[DOI]

CoRR, 2023

XAI Benchmark for Visual Explanation.

[BibT_eX]

[DOI]

CoRR, 2023

Visual Attention-Prompted Prediction and Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation.

[BibT_eX]

[DOI]

CoRR, 2023

Controllable Data Generation Via Iterative Data-Property Mutual Mappings.

[BibT_eX]

[DOI]

CoRR, 2023

Transferable Deep Clustering Model.

[BibT_eX]

[DOI]

CoRR, 2023

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data.

[BibT_eX]

[DOI]

Yuntong Hu

CoRR, 2023

Large Language Models for Spatial Trajectory Patterns Mining.

[BibT_eX]

[DOI]

CoRR, 2023

Saliency-Guided Hidden Associative Replay for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation.

[BibT_eX]

[DOI]

Xiangru Li

Yifei Zhang

CoRR, 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Network for spatiotemporal data: methods and applications.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Generalization Deep Graph Transformation.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Graph Representation Learning and Optimization for Influence Maximization.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge-enhanced Neural Machine Reasoning: A Review.

[BibT_eX]

[DOI]

CoRR, 2023

Tutorials at The Web Conference 2023.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Behrooz Omidvar-Tehrani

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Sign-Regularized Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Saliency-Augmented Memory Completion for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Networks: Foundation, Frontiers and Applications.

[BibT_eX]

[DOI]

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

ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation.

[BibT_eX]

[DOI]

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

Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Graph Representation Learning and Optimization for Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks.

[BibT_eX]

[DOI]

Guangji Bai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Infinitely Deep Graph Transformation Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MAGI: Multi-Annotated Explanation-Guided Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Online and Distributed Robust Regressions with Extremely Noisy Labels.

[BibT_eX]

[DOI]

Shuo Lei

ACM Trans. Knowl. Discov. Data, 2022

Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2022

Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization.

[BibT_eX]

[DOI]

Hongyi Li

Neurocomputing, 2022

Event Prediction in the Big Data Era: A Systematic Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

Controllable Data Generation by Deep Learning: A Review.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.

[BibT_eX]

[DOI]

CoRR, 2022

Temporal Domain Generalization with Drift-Aware Dynamic Neural Network.

[BibT_eX]

[DOI]

Guangji Bai

Ling Chen

CoRR, 2022

Black-box Node Injection Attack for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Small molecule generation via disentangled representation learning.

[BibT_eX]

[DOI]

Bioinform., 2022

An Invertible Graph Diffusion Neural Network for Source Localization.

[BibT_eX]

[DOI]

Junji Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Beam Pattern Fingerprinting with Missing Features for Spoofing Attack Detection in Millimeter-Wave Networks.

[BibT_eX]

[DOI]

Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

Interpretable Molecular Graph Generation via Monotonic Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

STGEN: Deep Continuous-Time Spatiotemporal Graph Generation.

[BibT_eX]

[DOI]

Hengning Cao

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

Convergence and Applications of ADMM on the Multi-convex Problems.

[BibT_eX]

[DOI]

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

Multi-objective Deep Data Generation with Correlated Property Control.

[BibT_eX]

[DOI]

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

Deep Generative Model for Periodic Graphs.

[BibT_eX]

[DOI]

Shiyu Wang

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

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RES: A Robust Framework for Guiding Visual Explanation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Saliency-Regularized Deep Multi-Task Learning.

[BibT_eX]

[DOI]

Guangji Bai

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unsupervised Deep Subgraph Anomaly Detection.

[BibT_eX]

[DOI]

Sayed Aresh Beheshti-Shirazi

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep Spatial Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

DeepGAR: Deep Graph Learning for Analogical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.

[BibT_eX]

[DOI]

Tanmoy Chowdhury

Ashkan Vakil

Banafsheh Saber Latibari

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Deep geometric neural network for spatial interpolation.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Factorized deep generative models for end-to-end trajectory generation with spatiotemporal validity constraints.

[BibT_eX]

[DOI]

Liming Zhang

Dieter Pfoser

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Property-Controllable Generation of Quaternary Ammonium Compounds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).

[BibT_eX]

[DOI]

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

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.

[BibT_eX]

[DOI]

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

Adaptive Kernel Graph Neural Network.

[BibT_eX]

[DOI]

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

Disentangled Spatiotemporal Graph Generative Models.

[BibT_eX]

[DOI]

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

2021

Dataset for Disentangled Representation Learning for Interpretable Molecule Generation.

[BibT_eX]

[DOI]

Dataset, April, 2021

Dataset for Generative Adversarial Learning of Protein Tertiary Structures. Molecules, 2021.

[BibT_eX]

[DOI]

Dataset, February, 2021

Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

CPM: A general feature dependency pattern mining framework for contrast multivariate time series.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Schematic memory persistence and transience for efficient and robust continual learning.

[BibT_eX]

[DOI]

Giorgio A. Ascoli

Neural Networks, 2021

Deep graph transformation for attributed, directed, and signed networks.

[BibT_eX]

[DOI]

Houman Homayoun

Knowl. Inf. Syst., 2021

BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization.

[BibT_eX]

[DOI]

Giorgio A. Ascoli

Frontiers Neurorobotics, 2021

Deep Graph Learning for Circuit Deobfuscation.

[BibT_eX]

[DOI]

Houman Homayoun

Frontiers Big Data, 2021

Time series clustering in linear time complexity.

[BibT_eX]

[DOI]

Xiaosheng Li

Jessica Lin

Data Min. Knowl. Discov., 2021

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?

[BibT_eX]

[DOI]

CoRR, 2021

A Convergent ADMM Framework for Efficient Neural Network Training.

[BibT_eX]

[DOI]

Hongyi Li

CoRR, 2021

Community-based Layerwise Distributed Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Heterogeneous Temporal Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.

[BibT_eX]

[DOI]

CoRR, 2021

Integrating memory-mapping and N-dimensional hash function for fast and efficient grid-based climate data query.

[BibT_eX]

[DOI]

Ann. GIS, 2021

TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Disentangled Dynamic Graph Deep Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Representation Learning on Spatial Networks.

[BibT_eX]

[DOI]

Zheng Zhan

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

GraphGT: Machine Learning Datasets for Graph Generation and Transformation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.

[BibT_eX]

[DOI]

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

Deep Generative Models for Spatial Networks.

[BibT_eX]

[DOI]

Yuanqi Du

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

Property Controllable Variational Autoencoder via Invertible Mutual Dependence.

[BibT_eX]

[DOI]

Yuanqi Du

Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Generation of Heterogeneous Networks.

[BibT_eX]

[DOI]

Carl Yang

Proceedings of the IEEE International Conference on Data Mining, 2021

GNES: Learning to Explain Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Deep Latent-Variable Models for Controllable Molecule Generation.

[BibT_eX]

[DOI]

Yuanqi Du

Yinkai Wang

Fardina Fathmiul Alam

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Deep Graph Spectral Evolution Networks for Graph Topological Evolution.

[BibT_eX]

[DOI]

Negar Etemadyrad

Qingzhe Li

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

2020

Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., 2020

Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting.

[BibT_eX]

[DOI]

Feng Chen

Yanfang Ye

IEEE Trans. Knowl. Data Eng., 2020

Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification Over Encrypted Wi-Fi Traffic.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Online flu epidemiological deep modeling on disease contact network.

[BibT_eX]

[DOI]

GeoInformatica, 2020

Taking the pulse of COVID-19: a spatiotemporal perspective.

[BibT_eX]

[DOI]

Int. J. Digit. Earth, 2020

Online Decision Trees with Fairness.

[BibT_eX]

[DOI]

Wenbin Zhang

CoRR, 2020

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.

[BibT_eX]

[DOI]

CoRR, 2020

Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints.

[BibT_eX]

[DOI]

Liming Zhang

Dieter Pfoser

CoRR, 2020

Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2020

TG-GAN: Deep Generative Models for Continuously-time Temporal Graph Generation.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.

[BibT_eX]

[DOI]

IEEE Access, 2020

Interpretable Deep Graph Generation with Node-edge Co-disentanglement.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.

[BibT_eX]

[DOI]

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

Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.

[BibT_eX]

[DOI]

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

Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints.

[BibT_eX]

[DOI]

Olga Gkountouna

Dieter Pfoser

ACM Trans. Spatial Algorithms Syst., 2019

Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.

[BibT_eX]

[DOI]

Shuo Lei

ACM Trans. Knowl. Discov. Data, 2019

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.

[BibT_eX]

[DOI]

ACM SIGSPATIAL Special, 2019

BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization.

[BibT_eX]

[DOI]

Giorgio A. Ascoli

CoRR, 2019

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.

[BibT_eX]

[DOI]

Hosein Mohammadi Makrani

Farnoud Farahmand

Hossein Sayadi

Sara Bondi

CoRR, 2019

CircConv: A Structured Convolution with Low Complexity.

[BibT_eX]

[DOI]

CoRR, 2019

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient Global String Kernel with Random Features: Beyond Counting Substructures.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ADMM for Efficient Deep Learning with Global Convergence.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Spatio-temporal Event Forecasting and Precursor Identification.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Interpreting and Evaluating Neural Network Robustness.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest.

[BibT_eX]

[DOI]

Xiaosheng Li

Jessica Lin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications.

[BibT_eX]

[DOI]

Proceedings of the 48th International Conference on Parallel Processing, 2019

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Machine Learning-Based Delay-Aware UAV Detection Over Encrypted Wi-Fi Traffic.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-stage Deep Classifier Cascades for Open World Recognition.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018.

[BibT_eX]

[DOI]

ACM SIGSPATIAL Special, 2018

Interpretable Convolutional Filter Pruning.

[BibT_eX]

[DOI]

CoRR, 2018

Interpreting Adversarial Robustness: A View from Decision Surface in Input Space.

[BibT_eX]

[DOI]

CoRR, 2018

Adverse event detection by integrating twitter data and VAERS.

[BibT_eX]

[DOI]

J. Biomed. Semant., 2018

Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Forecasting Gang Homicides with Multi-level Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Prediction-time Efficient Classification Using Feature Computational Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Media based Simulation Models for Understanding Disease Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Regression via Online Feature Selection Under Adversarial Data Corruption.

[BibT_eX]

[DOI]

Shuo Lei

Proceedings of the IEEE International Conference on Data Mining, 2018

Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2018

Situation-Based Interpretable Learning for Personality Prediction in Social Media.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection.

[BibT_eX]

[DOI]

Yanfang Ye

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.

[BibT_eX]

[DOI]

Proc. IEEE, 2017

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.

[BibT_eX]

[DOI]

CoRR, 2017

Robust Regression via Heuristic Hard Thresholding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Online and Distributed Robust Regressions Under Adversarial Data Corruption.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Modeling and Prediction of People's Needs (Vision Paper).

[BibT_eX]

[DOI]

Renee Li

Andreas Züfle

Georgios Lamprianidis

Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2017

A Uniform Representation for Trajectory Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.

[BibT_eX]

[DOI]

Naren Ramakrishnan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.

[BibT_eX]

[DOI]

Zhiqian Chen

Jing Dai

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

TRACES: Generating Twitter stories via shared subspace and temporal smoothness.

[BibT_eX]

[DOI]

Zhiqian Chen

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A natural language normalization approach to enhance social media text reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Determining Relative Airport Threats from News and Social Media.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Spatio-temporal Event Detection and Forecasting in Social Media.

[BibT_eX]

[DOI]

PhD thesis, 2016

Online Spatial Event Forecasting in Microblogs.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., 2016

A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2016

Automatic targeted-domain spatiotemporal event detection in twitter.

[BibT_eX]

[DOI]

GeoInformatica, 2016

A topic-focused trust model for Twitter.

[BibT_eX]

[DOI]

Comput. Commun., 2016

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.

[BibT_eX]

[DOI]

Sathappan Muthiah

Patrick Butler

Kristen Maria Summers

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-resolution Spatial Event Forecasting in Social Media.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

How events unfold: spatiotemporal mining in social media.

[BibT_eX]

[DOI]

ACM SIGSPATIAL Special, 2015

Spatiotemporal Event Forecasting in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multi-Task Learning for Spatio-Temporal Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Dynamic theme tracking in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Misinformation Propagation in the Age of Twitter.

[BibT_eX]

[DOI]

Computer, 2014

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.

[BibT_eX]

[DOI]

Andy Doyle

Graham Katz

Kristen Maria Summers

Youssef Fayed

Naren Ramakrishnan

Big Data, 2014

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

The EMBERS architecture for streaming predictive analytics.

[BibT_eX]

[DOI]

Andy Doyle

Graham Katz

Kristen Maria Summers