Xia Ben Hu

Yu-Neng Chuang

Commun. ACM, April, 2024

Collaborative Graph Neural Networks for Attributed Network Embedding.

[BibT_eX]

[DOI]

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

Shortcut Learning of Large Language Models in Natural Language Understanding.

[BibT_eX]

[DOI]

Commun. ACM, January, 2024

Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.

[BibT_eX]

[DOI]

Elizabeth A. Shenkman

Yi Guo

Jiang Bian

Informatics, 2024

PME: pruning-based multi-size embedding for recommender systems.

[BibT_eX]

[DOI]

Frontiers Big Data, 2024

Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery.

[BibT_eX]

[DOI]

CoRR, 2024

Gradient Rewiring for Editable Graph Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2024

Assessing and Enhancing Large Language Models in Rare Disease Question-answering.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding Different Design Choices in Training Large Time Series Models.

[BibT_eX]

[DOI]

CoRR, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.

[BibT_eX]

[DOI]

CoRR, 2024

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models As Faithful Explainers.

[BibT_eX]

[DOI]

CoRR, 2024

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.

[BibT_eX]

[DOI]

Zirui Liu

Qiang Charles Xiao

Sathiya Keerthi Selvaraj

Rahul Mazumder

Aman Gupta

Karthik Abinav Sankararaman

CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models.

[BibT_eX]

[DOI]

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

Learning to Compress Prompt in Natural Language Formats.

[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

GNNs Also Deserve Editing, and They Need It More Than Once.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Soft Prompt Recovers Compressed LLMs, Transferably.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

[BibT_eX]

[DOI]

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

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Chasing Fairness in Graphs: A GNN Architecture Perspective.

[BibT_eX]

[DOI]

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

2023

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

[BibT_eX]

[DOI]

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

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking.

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2023

Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach.

[BibT_eX]

[DOI]

Informatics, 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

[BibT_eX]

[DOI]

CoRR, 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

[BibT_eX]

[DOI]

CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Assumption-free Bias Mitigation.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient GNN Explanation via Learning Removal-based Attribution.

[BibT_eX]

[DOI]

CoRR, 2023

Editable Graph Neural Network for Node Classifications.

[BibT_eX]

[DOI]

CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.

[BibT_eX]

[DOI]

Anshumali Shrivastava

CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

Interactive System-wise Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

[BibT_eX]

[DOI]

CoRR, 2023

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

[BibT_eX]

[DOI]

CoRR, 2023

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking.

[BibT_eX]

[DOI]

CoRR, 2023

Data-centric Artificial Intelligence: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

The Science of Detecting LLM-Generated Texts.

[BibT_eX]

[DOI]

Yu-Neng Chuang

CoRR, 2023

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

[BibT_eX]

[DOI]

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Personalized Preprocessing Pipeline Search.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient XAI Techniques: A Taxonomic Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

CoRR, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

[BibT_eX]

[DOI]

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

Data-centric AI: Perspectives and Challenges.

[BibT_eX]

[DOI]

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

Context-aware Domain Adaptation for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

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

Hessian-aware Quantized Node Embeddings for Recommendation.

[BibT_eX]

[DOI]

Huiyuan Chen

Kaixiong Zhou

Kwei-Herng Lai

Chin-Chia Michael Yeh

Yan Zheng

Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Mitigating Algorithmic Bias with Limited Annotations.

[BibT_eX]

[DOI]

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

Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning.

[BibT_eX]

[DOI]

Shaochen (Henry) Zhong

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

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.

[BibT_eX]

[DOI]

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

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

Zirui Liu

Guanchu Wang

Shaochen (Henry) Zhong

Zhaozhuo Xu

Daochen Zha

Ruixiang (Ryan) Tang

Zhimeng Stephen Jiang

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

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.

[BibT_eX]

[DOI]

Zhimeng Stephen Jiang

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

Fair Graph Distillation.

[BibT_eX]

[DOI]

Qizhang Feng

Zhimeng Stephen Jiang

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

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Data-centric AI: Techniques and Future Perspectives.

[BibT_eX]

[DOI]

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

Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

[BibT_eX]

[DOI]

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

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.

[BibT_eX]

[DOI]

Huiyuan Chen

Kaixiong Zhou

Zhimeng Jiang

Chin-Chia Michael Yeh

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

DIVISION: Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CoRTX: Contrastive Framework for Real-time Explanation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

CAPTAIN: An AI-Based Chatbot for Cyberbullying Prevention and Intervention.

[BibT_eX]

[DOI]

Andrew T. Lian

Proceedings of the Artificial Intelligence in HCI, 2023

Error Detection on Knowledge Graphs with Triple Embedding.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks.

[BibT_eX]

[DOI]

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

Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Tackling Diverse Minorities in Imbalanced Classification.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

[BibT_eX]

[DOI]

Kaixiong Zhou

Xiaoqian Jiang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Subarchitecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Social Boosted Recommendation With Folded Bipartite Network Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Interpreting Image Classifiers by Generating Discrete Masks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Differentiated Explanation of Deep Neural Networks With Skewed Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Auto-GNN: Neural architecture search of graph neural networks.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Defense Against Explanation Manipulation.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.

[BibT_eX]

[DOI]

CoRR, 2022

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Mitigating Relational Bias on Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.

[BibT_eX]

[DOI]

CoRR, 2022

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

CoRR, 2022

Differentially Private Counterfactuals via Functional Mechanism.

[BibT_eX]

[DOI]

CoRR, 2022

Fair Machine Learning in Healthcare: A Review.

[BibT_eX]

[DOI]

CoRR, 2022

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.

[BibT_eX]

[DOI]

CoRR, 2022

BED: A Real-Time Object Detection System for Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.

[BibT_eX]

[DOI]

CoRR, 2022

Deconfounding to Explanation Evaluation in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

[BibT_eX]

[DOI]

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

Adversarial Graph Perturbations for Recommendations at Scale.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Similarity-Aware Time-Series Classification.

[BibT_eX]

[DOI]

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

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.

[BibT_eX]

[DOI]

Chin-Chia Michael Yeh

Yan Zheng

Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.

[BibT_eX]

[DOI]

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

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

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

AutoShard: Automated Embedding Table Sharding for Recommender 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

Towards Learning Disentangled Representations for Time Series.

[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

Table2Graph: Transforming Tabular Data to Unified Weighted Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AutoVideo: An Automated Video Action Recognition System.

[BibT_eX]

[DOI]

Na Zou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Accelerating Shapley Explanation via Contributive Cooperator Selection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

G-Mixup: Graph Data Augmentation for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalized Demographic Parity for Group Fairness.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

BED: A Real-Time Object Detection System for Edge Devices.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Tutorial on Deep Learning Interpretation: A Data Perspective.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

RES: An Interpretable Replicability Estimation System for Research Publications.

[BibT_eX]

[DOI]

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

Towards Debiasing DNN Models from Spurious Feature Influence.

[BibT_eX]

[DOI]

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

Orthogonal Graph Neural Networks.

[BibT_eX]

[DOI]

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

2021

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Learning credible DNNs via incorporating prior knowledge and model local explanation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Fairness in Deep Learning: A Computational Perspective.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

CoRR, 2021

AutoVideo: An Automated Video Action Recognition System.

[BibT_eX]

[DOI]

CoRR, 2021

Simplifying Deep Reinforcement Learning via Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Disentangled Representations for Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

ExAD: An Ensemble Approach for Explanation-based Adversarial Detection.

[BibT_eX]

[DOI]

Raj Vardhan

Phakpoom Chinprutthiwong

CoRR, 2021

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

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

Sparse-Interest Network for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.

[BibT_eX]

[DOI]

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

Revisiting Time Series Outlier Detection: Definitions and Benchmarks.

[BibT_eX]

[DOI]

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

Fairness via Representation Neutralization.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Xia Ben Hu

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

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Model-Based Counterfactual Synthesizer for Interpretation.

[BibT_eX]

[DOI]

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

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.

[BibT_eX]

[DOI]

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

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

[BibT_eX]

[DOI]

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

AutoOD: Neural Architecture Search for Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dynamic Memory based Attention Network for Sequential Recommendation.

[BibT_eX]

[DOI]

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

TODS: An Automated Time Series Outlier Detection System.

[BibT_eX]

[DOI]

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

A Unified Taylor Framework for Revisiting Attribution Methods.

[BibT_eX]

[DOI]

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

2020

Techniques for Automated Machine Learning.

[BibT_eX]

[DOI]

Yi-Wei Chen

SIGKDD Explor., 2020

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

On Robustness of Neural Architecture Search Under Label Noise.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability.

[BibT_eX]

[DOI]

CoRR, 2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

CoRR, 2020

iCapsNets: Towards Interpretable Capsule Networks for Text Classification.

[BibT_eX]

[DOI]

Zhengyang Wang

Shuiwang Ji

CoRR, 2020

Adversarial Machine Learning: An Interpretation Perspective.

[BibT_eX]

[DOI]

CoRR, 2020

Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Correction to: Special issue on recommender system.

[BibT_eX]

[DOI]

CCF Trans. Pervasive Comput. Interact., 2020

Techniques for interpretable machine learning.

[BibT_eX]

[DOI]

Commun. ACM, 2020

Characterizing reticulation in online social networks during disasters.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2020

Towards Fairness-Aware Disaster Informatics: an Interdisciplinary Perspective.

[BibT_eX]

[DOI]

IEEE Access, 2020

Learning to Hash with Graph Neural Networks for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.

[BibT_eX]

[DOI]

Yuening Li

Daochen Zha

Praveen Kumar Venugopal

Na Zou

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Deep Neural Networks with Knowledge Instillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

AutoRec: An Automated Recommender System.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detecting Interactions from Neural Networks via Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

XGNN: Towards Model-Level Explanations of Graph Neural Networks.

[BibT_eX]

[DOI]

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

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.

[BibT_eX]

[DOI]

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

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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

Policy-GNN: Aggregation Optimization for Graph Neural Networks.

[BibT_eX]

[DOI]

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

Multi-Channel Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RLCard: A Platform for Reinforcement Learning in Card Games.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dual Policy Distillation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Explainable Recommender Systems via Resolving Learning Representations.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Scalable Social Tie Strength Measuring.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Tensor Completion Algorithms in Big Data Analytics.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Social media for intelligent public information and warning in disasters: An interdisciplinary review.

[BibT_eX]

[DOI]

Int. J. Inf. Manag., 2019

Deep Representation Learning for Social Network Analysis.

[BibT_eX]

[DOI]

Qiaoyu Tan

Frontiers Big Data, 2019

Multi-Channel Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

XDeep: An Interpretation Tool for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

RLCard: A Toolkit for Reinforcement Learning in Card Games.

[BibT_eX]

[DOI]

CoRR, 2019

PyODDS: An End-to-End Outlier Detection System.

[BibT_eX]

[DOI]

CoRR, 2019

Contextual Local Explanation for Black Box Classifiers.

[BibT_eX]

[DOI]

CoRR, 2019

Sub-Architecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder.

[BibT_eX]

[DOI]

CoRR, 2019

Auto-GNN: Neural Architecture Search of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning.

[BibT_eX]

[DOI]

Fan Yang

CoRR, 2019

Open Issues in Combating Fake News: Interpretability as an Opportunity.

[BibT_eX]

[DOI]

Sina Mohseni

Eric D. Ragan

CoRR, 2019

Special issue on recommender system.

[BibT_eX]

[DOI]

CCF Trans. Pervasive Comput. Interact., 2019

Computational modeling of cellular structures using conditional deep generative networks.

[BibT_eX]

[DOI]

Bioinform., 2019

XFake: Explainable Fake News Detector with Visualizations.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Representation Interpretation with Spatial Encoding and Multimodal Analytics.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

An Interpretable Neural Model with Interactive Stepwise Influence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Identification of Cancer Survivors Living with PTSD on Social Media.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Coupled Variational Recurrent Collaborative Filtering.

[BibT_eX]

[DOI]

Shiyu Chang

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

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.

[BibT_eX]

[DOI]

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

Auto-Keras: An Efficient Neural Architecture Search System.

[BibT_eX]

[DOI]

Haifeng Jin

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

Graph Recurrent Networks With Attributed Random Walks.

[BibT_eX]

[DOI]

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

Deep Structured Cross-Modal Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Experience Replay Optimization.

[BibT_eX]

[DOI]

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

Learning Credible Deep Neural Networks with Rationale Regularization.

[BibT_eX]

[DOI]

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

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods.

[BibT_eX]

[DOI]

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

Large-Scale Heterogeneous Feature Embedding.

[BibT_eX]

[DOI]

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

Deep Bayesian Optimization on Attributed Graphs.

[BibT_eX]

[DOI]

Jiaxu Cui

Bo Yang

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

2018

Spam Detection on Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Understanding and Identifying Rhetorical Questions in Social Media.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Special Issue on Data Mining in Health Informatics.

[BibT_eX]

[DOI]

Gregor Stiglic

Fei Wang

J. Heal. Informatics Res., 2018

r-instance Learning for Missing People Tweets Identification.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach.

[BibT_eX]

[DOI]

CoRR, 2018

Exploring Expert Cognition for Attributed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.

[BibT_eX]

[DOI]

Proceedings of the ACM Recommender Systems Challenge, 2018

Adversarial Detection with Model Interpretation.

[BibT_eX]

[DOI]

Hongxia Yang

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

On Interpretation of Network Embedding via Taxonomy Induction.

[BibT_eX]

[DOI]

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

Towards Explanation of DNN-based Prediction with Guided Feature Inversion.

[BibT_eX]

[DOI]

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

Privacy-Preserving Social Media Data Outsourcing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Contextual Outlier Interpretation.

[BibT_eX]

[DOI]

Donghwa Shin

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

Towards Interpretation of Recommender Systems with Sorted Explanation Paths.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-label Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Fairness-Aware Tensor-Based Recommendation.

[BibT_eX]

[DOI]

Ziwei Zhu

James Caverlee

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Link Prediction With Personalized Social Influence.

[BibT_eX]

[DOI]

Zepeng Huo

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

2017

Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2017

Facilitating Time Critical Information Seeking in Social Media.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Neural Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Label Informed Attributed Network Embedding.

[BibT_eX]

[DOI]

Jundong Li

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.

[BibT_eX]

[DOI]

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

Accelerated Attributed Network Embedding.

[BibT_eX]

[DOI]

Jundong Li

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

Multi-Aspect Streaming Tensor Completion.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Accelerated Local Anomaly Detection via Resolving Attributed Networks.

[BibT_eX]

[DOI]

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

Radar: Residual Analysis for Anomaly Detection in Attributed Networks.

[BibT_eX]

[DOI]

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

Detecting Camouflaged Content Polluters.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Adaptive Spammer Detection with Sparse Group Modeling.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Early Identification of Personalized Trending Topics in Microblogging.

[BibT_eX]

[DOI]

Liang Wu

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.

[BibT_eX]

[DOI]

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

IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models.

[BibT_eX]

[DOI]

Shuiwang Ji

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

2016

An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief.

[BibT_eX]

[DOI]

Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Learning Geographical Hierarchy Features via a Compositional Model.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2016

CPB: a classification-based approach for burst time prediction in cascades.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.

[BibT_eX]

[DOI]

EURASIP J. Bioinform. Syst. Biol., 2016

Towards organizing health knowledge on community-based health services.

[BibT_eX]

[DOI]

EURASIP J. Bioinform. Syst. Biol., 2016

Relational Learning with Social Status Analysis.

[BibT_eX]

[DOI]

Liang Wu

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Understanding and Identifying Advocates for Political Campaigns on Social Media.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Robust Unsupervised Feature Selection on Networked Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Identifying Rhetorical Questions in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Exploring Personal Attributes from Unprotected Interactions.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.

[BibT_eX]

[DOI]

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

Data Summarization with Social Contexts.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting Online Protest Participation of Social Media Users.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

From Tweets to Wellness: Wellness Event Detection from Twitter Streams.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging.

[BibT_eX]

[DOI]

Lei Tang

IEEE Trans. Big Data, 2015

Predicting Online Protest Participation of Social Media Users.

[BibT_eX]

[DOI]

CoRR, 2015

Visualizing Social Media Sentiment in Disaster Scenarios.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning Geographical Hierarchy Features for Social Image Location Prediction.

[BibT_eX]

[DOI]

Xiaoming Zhang

Zhoujun Li

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Finding Time-Critical Responses for Information Seeking in Social Media.

[BibT_eX]

[DOI]

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

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media.

[BibT_eX]

[DOI]

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

Unsupervised Streaming Feature Selection in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Finding the Right Social Media Site for Questions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Burst Time Prediction in Cascades.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Leveraging Social Foci for Information Seeking in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Aware Point of Interest Recommendation on Location-Based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Leveraging knowledge across media for spammer detection in microblogging.

[BibT_eX]

[DOI]

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Discriminant Analysis for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades.

[BibT_eX]

[DOI]

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

Social Spammer Detection with Sentiment Information.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Is distrust the negation of trust?: the value of distrust in social media.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

A behavior analytics approach to identifying tweets from crisis regions.

[BibT_eX]

[DOI]

Shamanth Kumar

Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Predictability of Distrust with Interaction Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Online Social Spammer Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Social recommendation: a review.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2013

Unsupervised sentiment analysis with emotional signals.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Exploiting homophily effect for trust prediction.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Exploiting social relations for sentiment analysis in microblogging.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

ActNeT: Active Learning for Networked Texts in Microblogging.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Unsupervised Feature Selection for Multi-View Data in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Context-aware review helpfulness rating prediction.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploring temporal effects for location recommendation on location-based social networks.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploiting Local and Global Social Context for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Social Spammer Detection in Microblogging.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Modeling temporal effects of human mobile behavior on location-based social networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

From Interest to Function: Location Estimation in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Enriching short text representation in microblog for clustering.

[BibT_eX]

[DOI]

Frontiers Comput. Sci. China, 2012

Social status and role analysis of palin's email network.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

A Semi-Supervised Bayesian Network Model for Microblog Topic Classification.

[BibT_eX]

[DOI]

Proceedings of the COLING 2012, 2012

Text Analytics in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Mining Text Data, 2012

2011

Learning to recommend questions based on public interest.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Enhancing accessibility of microblogging messages using semantic knowledge.

[BibT_eX]

[DOI]

Lei Tang