Xia Hu

Orcid: 0000-0003-2234-3226

According to our database1, Xia Hu authored at least 316 papers between 2009 and 2024.

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Bibliography

2024
Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng., March, 2024

Shortcut Learning of Large Language Models in Natural Language Understanding.
Commun. ACM, January, 2024

Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.
Informatics, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.
CoRR, 2024

Learning to Compress Prompt in Natural Language Formats.
CoRR, 2024

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR, 2024

Spurious Correlations in Machine Learning: A Survey.
CoRR, 2024

Large Language Models As Faithful Explainers.
CoRR, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
CoRR, 2024

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.
CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Chasing Fairness in Graphs: A GNN Architecture Perspective.
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.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking.
SIGKDD Explor., 2023

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.
SIGKDD Explor., 2023

AutoKeras: An AutoML Library for Deep Learning.
J. Mach. Learn. Res., 2023

A new characterization of the product of (<i>L</i>, <i>M</i>)-fuzzy convex structures1.
J. Intell. Fuzzy Syst., 2023

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.
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.
Informatics, 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR, 2023

Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts.
CoRR, 2023

Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
CoRR, 2023

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
CoRR, 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.
CoRR, 2023

Towards Data-centric Graph Machine Learning: Review and Outlook.
CoRR, 2023

Towards Assumption-free Bias Mitigation.
CoRR, 2023

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
CoRR, 2023

Editable Graph Neural Network for Node Classifications.
CoRR, 2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.
CoRR, 2023

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR, 2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.
CoRR, 2023

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability.
CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.
CoRR, 2023

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization.
CoRR, 2023

Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking.
CoRR, 2023

Data-centric Artificial Intelligence: A Survey.
CoRR, 2023

The Science of Detecting LLM-Generated Texts.
CoRR, 2023

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
CoRR, 2023

Towards Personalized Preprocessing Pipeline Search.
CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
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.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Data-centric AI: Perspectives and Challenges.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Context-aware Domain Adaptation for Time Series Anomaly Detection.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hessian-aware Quantized Node Embeddings for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection.
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.
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.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Data-centric AI: Techniques and Future Perspectives.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.
Proceedings of the International Conference on Machine Learning, 2023

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.
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.
Proceedings of the IEEE International Conference on Data Mining, 2023

CAPTAIN: An AI-Based Chatbot for Cyberbullying Prevention and Intervention.
Proceedings of the Artificial Intelligence in HCI, 2023

Error Detection on Knowledge Graphs with Triple Embedding.
Proceedings of the 31st European Signal Processing Conference, 2023

Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Tackling Diverse Minorities in Imbalanced Classification.
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.
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.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2022

Subarchitecture Ensemble Pruning in Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst., 2022

Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models.
IEEE Trans. Comput. Soc. Syst., 2022

Interpreting Image Classifiers by Generating Discrete Masks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Differentiated Explanation of Deep Neural Networks With Skewed Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data, 2022

Defense Against Explanation Manipulation.
Frontiers Big Data, 2022

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.
CoRR, 2022

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning.
CoRR, 2022

Mitigating Relational Bias on Knowledge Graphs.
CoRR, 2022

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.
CoRR, 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.
CoRR, 2022

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.
CoRR, 2022

Differentially Private Counterfactuals via Functional Mechanism.
CoRR, 2022

Fair Machine Learning in Healthcare: A Review.
CoRR, 2022

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.
CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.
CoRR, 2022

Deconfounding to Explanation Evaluation in Graph Neural Networks.
CoRR, 2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.
CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Adversarial Graph Perturbations for Recommendations at Scale.
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.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.
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.
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.
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.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AutoVideo: An Automated Video Action Recognition System.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

G-Mixup: Graph Data Augmentation for Graph Classification.
Proceedings of the International Conference on Machine Learning, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalized Demographic Parity for Group Fairness.
Proceedings of the Tenth International Conference on Learning Representations, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.
Proceedings of the International Conference on Automated Machine Learning, 2022

Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning.
Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.
Proceedings of the AMIA 2022, 2022

RES: An Interpretable Replicability Estimation System for Research Publications.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Towards Debiasing DNN Models from Spurious Feature Influence.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Orthogonal Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.
SIGKDD Explor., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.
SIGKDD Explor., 2021

Climatic Constraints to Monthly Vegetation Dynamics in Desert Areas Over the Silk Road Economic Belt.
Remote. Sens., 2021

Model complexity of deep learning: a survey.
Knowl. Inf. Syst., 2021

Learning credible DNNs via incorporating prior knowledge and model local explanation.
Knowl. Inf. Syst., 2021

Fairness in Deep Learning: A Computational Perspective.
IEEE Intell. Syst., 2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR, 2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR, 2021

AutoVideo: An Automated Video Action Recognition System.
CoRR, 2021

Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning.
CoRR, 2021

Simplifying Deep Reinforcement Learning via Self-Supervision.
CoRR, 2021

Learning Disentangled Representations for Time Series.
CoRR, 2021

Concave (L, M)-fuzzy interior operators and (L, M)-fuzzy hull operators.
Comput. Appl. Math., 2021

Mitigating Gender Bias in Captioning Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Sparse-Interest Network for Sequential Recommendation.
Proceedings of the WSDM '21, 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Influence of Electrode on Elastic Constant $C_{33}{}^{D}$ Extraction of Scandium-doped Aluminum Nitride Thin Film by Thickness-extensional Mode FBAR.
Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.
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.
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.
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.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
Proceedings of the 9th International Conference on Learning Representations, 2021

AutoOD: Neural Architecture Search for Outlier Detection.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dynamic Memory based Attention Network for Sequential Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Unified Taylor Framework for Revisiting Attribution Methods.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Techniques for Automated Machine Learning.
SIGKDD Explor., 2020

Threshold Vegetation Greenness under Water Balance in Different Desert Areas over the Silk Road Economic Belt.
Remote. Sens., 2020

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.
BMC Medical Informatics Decis. Mak., 2020

On Robustness of Neural Architecture Search Under Label Noise.
Frontiers Big Data, 2020

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.
CoRR, 2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.
CoRR, 2020

Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability.
CoRR, 2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR, 2020

Mitigating Gender Bias in Captioning Systems.
CoRR, 2020

iCapsNets: Towards Interpretable Capsule Networks for Text Classification.
CoRR, 2020

Adversarial Machine Learning: An Interpretation Perspective.
CoRR, 2020

Correction to: Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2020

Techniques for interpretable machine learning.
Commun. ACM, 2020

Characterizing reticulation in online social networks during disasters.
Appl. Netw. Sci., 2020

Towards Fairness-Aware Disaster Informatics: an Interdisciplinary Perspective.
IEEE Access, 2020

Learning to Hash with Graph Neural Networks for Recommender Systems.
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.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Deep Neural Networks with Knowledge Instillation.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

AutoRec: An Automated Recommender System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
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.
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.
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.
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.
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Measuring Model Complexity of Neural Networks with Curve Activation Functions.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-Channel Graph Neural Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RLCard: A Platform for Reinforcement Learning in Card Games.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dual Policy Distillation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Explainable Recommender Systems via Resolving Learning Representations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Scalable Social Tie Strength Measuring.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Tensor Completion Algorithms in Big Data Analytics.
ACM Trans. Knowl. Discov. Data, 2019

Social media for intelligent public information and warning in disasters: An interdisciplinary review.
Int. J. Inf. Manag., 2019

Deep Representation Learning for Social Network Analysis.
Frontiers Big Data, 2019

Multi-Channel Graph Convolutional Networks.
CoRR, 2019

XDeep: An Interpretation Tool for Deep Neural Networks.
CoRR, 2019

RLCard: A Toolkit for Reinforcement Learning in Card Games.
CoRR, 2019

PyODDS: An End-to-End Outlier Detection System.
CoRR, 2019

Contextual Local Explanation for Black Box Classifiers.
CoRR, 2019

Sub-Architecture Ensemble Pruning in Neural Architecture Search.
CoRR, 2019

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder.
CoRR, 2019

Auto-GNN: Neural Architecture Search of Graph Neural Networks.
CoRR, 2019

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning.
CoRR, 2019

Open Issues in Combating Fake News: Interpretability as an Opportunity.
CoRR, 2019

Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2019

Computational modeling of cellular structures using conditional deep generative networks.
Bioinform., 2019

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.
Proceedings of the World Wide Web Conference, 2019

Representation Interpretation with Spatial Encoding and Multimodal Analytics.
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.
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Identification of Cancer Survivors Living with PTSD on Social Media.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Coupled Variational Recurrent Collaborative Filtering.
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.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Auto-Keras: An Efficient Neural Architecture Search System.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Recurrent Networks With Attributed Random Walks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Structured Cross-Modal Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Experience Replay Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Credible Deep Neural Networks with Rationale Regularization.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Large-Scale Heterogeneous Feature Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deep Bayesian Optimization on Attributed Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Negative Sampling for Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Spam Detection on Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

A FOA-Optimized RBF Algorithm-Based Evaluation Research on E-commerce Websites.
Wirel. Pers. Commun., 2018

A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.
ACM Trans. Knowl. Discov. Data, 2018

Understanding and Identifying Rhetorical Questions in Social Media.
ACM Trans. Intell. Syst. Technol., 2018

Special Issue on Data Mining in Health Informatics.
J. Heal. Informatics Res., 2018

Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies.
Int. Trans. Oper. Res., 2018

Efficient Neural Architecture Search with Network Morphism.
CoRR, 2018

r-instance Learning for Missing People Tweets Identification.
CoRR, 2018

Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach.
CoRR, 2018

Exploring Expert Cognition for Attributed Network Embedding.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.
Proceedings of the ACM Recommender Systems Challenge, 2018

Adversarial Detection with Model Interpretation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

On Interpretation of Network Embedding via Taxonomy Induction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Explanation of DNN-based Prediction with Guided Feature Inversion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Privacy-Preserving Social Media Data Outsourcing.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Contextual Outlier Interpretation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Constrained Routing Optimization Algorithm Based on DAG.
Proceedings of the IECON 2018, 2018

Multi-Constrained Routing Based on Particle Swarm Optimization and Fireworks Algorithm.
Proceedings of the IECON 2018, 2018

Towards Interpretation of Recommender Systems with Sorted Explanation Paths.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-label Adversarial Perturbations.
Proceedings of the IEEE International Conference on Data Mining, 2018

DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Discriminative Graph Autoencoder.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Fairness-Aware Tensor-Based Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Link Prediction With Personalized Social Influence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Application of Mathematical and Computational Models to Mitigate the Overutilization of Healthcare Systems.
PhD thesis, 2017

Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts.
ACM Trans. Inf. Syst., 2017

Facilitating Time Critical Information Seeking in Social Media.
IEEE Trans. Knowl. Data Eng., 2017

Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality.
IEEE Trans. Knowl. Data Eng., 2017

Finding map regions with high density of query keywords.
Frontiers Inf. Technol. Electron. Eng., 2017

Gamification Teaching Reform for Higher Vocational Education in China: A case study on Layout and Management of Distribution Center.
Int. J. Emerg. Technol. Learn., 2017

Effective Blog Pages Extractor for Better UGC Accessing.
CoRR, 2017

Neural Collaborative Filtering.
Proceedings of the 26th International Conference on World Wide Web, 2017

Label Informed Attributed Network Embedding.
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.
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.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Accelerated Attributed Network Embedding.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Multi-Aspect Streaming Tensor Completion.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Radar: Residual Analysis for Anomaly Detection in Attributed Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Detecting Camouflaged Content Polluters.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Adaptive Spammer Detection with Sparse Group Modeling.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Early Identification of Personalized Trending Topics in Microblogging.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.
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.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Deep Style Match for Complementary Recommendation.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Learning Geographical Hierarchy Features via a Compositional Model.
IEEE Trans. Multim., 2016

CPB: a classification-based approach for burst time prediction in cascades.
Knowl. Inf. Syst., 2016

Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.
EURASIP J. Bioinform. Syst. Biol., 2016

Towards organizing health knowledge on community-based health services.
EURASIP J. Bioinform. Syst. Biol., 2016

Relational Learning with Social Status Analysis.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Understanding and Identifying Advocates for Political Campaigns on Social Media.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Robust Unsupervised Feature Selection on Networked Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Identifying Rhetorical Questions in Social Media.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Exploring Personal Attributes from Unprotected Interactions.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Data Summarization with Social Contexts.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting Online Protest Participation of Social Media Users.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

From Tweets to Wellness: Wellness Event Detection from Twitter Streams.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging.
IEEE Trans. Big Data, 2015

Predicting Online Protest Participation of Social Media Users.
CoRR, 2015

Visualizing Social Media Sentiment in Disaster Scenarios.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning Geographical Hierarchy Features for Social Image Location Prediction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Finding Time-Critical Responses for Information Seeking in Social Media.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Unsupervised Streaming Feature Selection in Social Media.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Finding the Right Social Media Site for Questions.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Burst Time Prediction in Cascades.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Leveraging Social Foci for Information Seeking in Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Aware Point of Interest Recommendation on Location-Based Social Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Leveraging knowledge across media for spammer detection in microblogging.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Discriminant Analysis for Unsupervised Feature Selection.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Social Spammer Detection with Sentiment Information.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

An Improved Collaborative Method for Recommendation and Rating Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Is distrust the negation of trust?: the value of distrust in social media.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

A behavior analytics approach to identifying tweets from crisis regions.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Predictability of Distrust with Interaction Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Online Social Spammer Detection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Social recommendation: a review.
Soc. Netw. Anal. Min., 2013

Unsupervised sentiment analysis with emotional signals.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploiting homophily effect for trust prediction.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Exploiting social relations for sentiment analysis in microblogging.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

ActNeT: Active Learning for Networked Texts in Microblogging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Unsupervised Feature Selection for Multi-View Data in Social Media.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Context-aware review helpfulness rating prediction.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploring temporal effects for location recommendation on location-based social networks.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploiting Local and Global Social Context for Recommendation.
Proceedings of the IJCAI 2013, 2013

Social Spammer Detection in Microblogging.
Proceedings of the IJCAI 2013, 2013

Modeling temporal effects of human mobile behavior on location-based social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

From Interest to Function: Location Estimation in Social Media.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Enriching short text representation in microblog for clustering.
Frontiers Comput. Sci. China, 2012

Social status and role analysis of palin's email network.
Proceedings of the 21st World Wide Web Conference, 2012

A Semi-Supervised Bayesian Network Model for Microblog Topic Classification.
Proceedings of the COLING 2012, 2012

Text Analytics in Social Media.
Proceedings of the Mining Text Data, 2012

2011
Learning to recommend questions based on public interest.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Enhancing accessibility of microblogging messages using semantic knowledge.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

User Preference Representation Based on Psychometric Models.
Proceedings of the Twenty-Second Australasian Database Conference, 2011

2010
A method for extracting the internal structure of biomedical images based on SRG and texture gradient.
Math. Comput. Model., 2010

Sampling of Mass SMS Filtering Algorithm Based on Frequent Time-domain Area.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

A Novel Composite Kernel for Finding Similar Questions in CQA Services.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Segmentation of multi-sentence questions: towards effective question retrieval in cQA services.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Similarity-Transformation Invariant Reversible Watermarking for 3D Models.
Proceedings of the Computer and Information Sciences, 2010

Occlusion-Aided Weights for Local Stereo Matching.
Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Disparity Adjustment for Local Stereo Matching.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009
Improving Short Text Clustering Performance with Keyword Expansion.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Exploiting internal and external semantics for the clustering of short texts using world knowledge.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Query Segmentation Based on Eigenspace Similarity.
Proceedings of the ACL 2009, 2009


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