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

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization.

[BibT_eX]

[DOI]

Haohui Wang

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

DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton.

[BibT_eX]

[DOI]

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

Parametric Augmentation for Time Series Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Survey on Detection of LLMs-Generated Content.

[BibT_eX]

[DOI]

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

Large Language Models Can Be Contextual Privacy Protection Learners.

[BibT_eX]

[DOI]

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

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.

[BibT_eX]

[DOI]

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

TrustAgent: Towards Safe and Trustworthy LLM-based Agents.

[BibT_eX]

[DOI]

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

2023

Fractionation of neural reward processing into independent components by novel decoding principle.

[BibT_eX]

[DOI]

NeuroImage, December, 2023

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders.

[BibT_eX]

[DOI]

NeuroImage, April, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

DyExplainer: Explainable Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Scope.

[BibT_eX]

[DOI]

CoRR, 2023

Zero-Shot Detection of Machine-Generated Codes.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Prompting: A Unified Framework for Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning.

[BibT_eX]

[DOI]

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

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.

[BibT_eX]

[DOI]

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

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.

[BibT_eX]

[DOI]

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

Personalized Federated Learning under Mixture of Distributions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Information Fusion, 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

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Risk-taking in humans and the medial orbitofrontal cortex reward system.

[BibT_eX]

[DOI]

NeuroImage, 2022

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies.

[BibT_eX]

[DOI]

NeuroImage, 2022

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.

[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

Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Personalized Federated Learning via Heterogeneous Modular Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Seed: Sound Event Early Detection Via Evidential Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Federated Anomaly Detection for Multivariate Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 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

2021

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.

[BibT_eX]

[DOI]

NeuroImage, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Drop: Robust Graph Neural Network via Topological Denoising.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.

[BibT_eX]

[DOI]

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

InfoGCL: Information-Aware Graph Contrastive Learning.

[BibT_eX]

[DOI]

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

Unsupervised Concept Representation Learning for Length-Varying Text Similarity.

[BibT_eX]

[DOI]

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

Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin Transactions.

[BibT_eX]

[DOI]

Proceedings of the 2021 International Conference on Data Mining, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.

[BibT_eX]

[DOI]

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

Multi-Task Recurrent Modular Networks.

[BibT_eX]

[DOI]

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

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.

[BibT_eX]

[DOI]

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

2020

Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex.

[BibT_eX]

[DOI]

NeuroImage, 2020

Correction to: Memory-based random walk for multi-query local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Memory-based random walk for multi-query local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks.

[BibT_eX]

[DOI]

Entropy, 2020

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.

[BibT_eX]

[DOI]

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

Temporal Context-Aware Representation Learning for Question Routing.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Interpretable Click-Through Rate Prediction through Hierarchical Attention.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Parameterized Explainer for Graph Neural Network.

[BibT_eX]

[DOI]

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

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.

[BibT_eX]

[DOI]

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Super-Resolution Coding Defense Against Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Robust Graph Representation Learning via Neural Sparsification.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.

[BibT_eX]

[DOI]

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

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.

[BibT_eX]

[DOI]

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

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.

[BibT_eX]

[DOI]

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

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.

[BibT_eX]

[DOI]

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

2019

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

The multi-walker chain and its application in local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.

[BibT_eX]

[DOI]

Bioinform., 2019

Deep Co-Clustering.

[BibT_eX]

[DOI]

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

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs.

[BibT_eX]

[DOI]

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

Self-Attentive Attributed Network Embedding Through Adversarial Learning.

[BibT_eX]

[DOI]

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

Adaptive Neural Network for Node Classification in Dynamic Networks.

[BibT_eX]

[DOI]

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

Learning Robust Representations with Graph Denoising Policy Network.

[BibT_eX]

[DOI]

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

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

[BibT_eX]

[DOI]

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

2018

ComClus: A Self-Grouping Framework for Multi-Network Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Statistical testing and power analysis for brain-wide association study.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

Co-Regularized Deep Multi-Network Embedding.

[BibT_eX]

[DOI]

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

Learning Deep Network Representations with Adversarially Regularized Autoencoders.

[BibT_eX]

[DOI]

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

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.

[BibT_eX]

[DOI]

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

Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.

[BibT_eX]

[DOI]

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

De-biasing Covariance-Regularized Discriminant Analysis.

[BibT_eX]

[DOI]

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

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

On Multi-query Local Community Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Collaborative Alert Ranking for Anomaly Detection.

[BibT_eX]

[DOI]

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

2017

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.

[BibT_eX]

[DOI]

NeuroImage, 2017

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.

[BibT_eX]

[DOI]

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

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

[BibT_eX]

[DOI]

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

AWDA: An Adaptive Wishart Discriminant Analysis.

[BibT_eX]

[DOI]

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

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.

[BibT_eX]

[DOI]

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

Multi-party Sparse Discriminant Learning.

[BibT_eX]

[DOI]

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

Many Heads are Better than One: Local Community Detection by the Multi-walker Chain.

[BibT_eX]

[DOI]

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

Identifying and quantifying nonlinear structured relationships in complex manufactural systems.

[BibT_eX]

[DOI]

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

2016

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

HICC: an entropy splitting-based framework for hierarchical co-clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Sparse regression models for unraveling group and individual associations in eQTL mapping.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.

[BibT_eX]

[DOI]

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

Self-Grouping Multi-network Clustering.

[BibT_eX]

[DOI]

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

2015

Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data.

[BibT_eX]

[DOI]

Wei Cheng

PhD thesis, 2015

Fast and robust group-wise eQTL mapping using sparse graphical models.

[BibT_eX]

[DOI]

BMC Bioinform., 2015

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.

[BibT_eX]

[DOI]

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

2014

Searching Dimension Incomplete Databases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Graph-regularized dual Lasso for robust eQTL mapping.

[BibT_eX]

[DOI]

Bioinform., 2014

2013

Spatio-temporal Granger causality: A new framework.

[BibT_eX]

[DOI]

NeuroImage, 2013

Flexible and robust co-regularized multi-domain graph clustering.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Grid-Based Clustering.

[BibT_eX]

Wei Cheng

Wei Wang

Sandra Batista

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

Dual Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Hierarchical co-clustering based on entropy splitting.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Measuring Opinion Relevance in Latent Topic Space.

[BibT_eX]

[DOI]

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

2010

Transfer Learning via Cluster Correspondence Inference.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Probabilistic Similarity Query on Dimension Incomplete Data.

[BibT_eX]

[DOI]

Wei Cheng

Xiaoming Jin

Jian-Tao Sun

Proceedings of the ICDM 2009, 2009

Wei Cheng

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