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

Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models.

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[DOI]

Yubo Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Bridging Gaps in Content and Knowledge for Multimodal Entity Linking.

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[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Summarizing Like Human: Edit-Based Text Summarization with Keywords.

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[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

HRVDA: High-Resolution Visual Document Assistant.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation.

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[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer.

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[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction.

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[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Visual Hallucination Elevates Speech Recognition.

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[DOI]

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

2023

ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval.

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[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Cross and Self Attention Based Graph Convolutional Network for Aspect-Based Sentiment Analysis.

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[DOI]

Mao Zhang

Sijie Teng

Linli Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Multi-Grained Multimodal Interaction Network for Entity Linking.

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[DOI]

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

DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation.

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[DOI]

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

Span-level Aspect-based Sentiment Analysis via Table Filling.

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[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA.

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[DOI]

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

2022

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation.

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[DOI]

CoRR, 2022

Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation.

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[DOI]

CoRR, 2022

Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

CoCGAN: Contrastive Learning for Adversarial Category Text Generation.

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[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation.

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[DOI]

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

2021

Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation.

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[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Towards Variable-Length Textual Adversarial Attacks.

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[DOI]

CoRR, 2021

Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations.

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[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.

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[DOI]

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

2020

Incorporating BERT into Parallel Sequence Decoding with Adapters.

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[DOI]

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

Label Incorporated Graph Neural Networks for Text Classification.

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[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation.

[BibT_eX]

[DOI]

Junliang Guo

Linli Xu

Enhong Chen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

IntroVNMT: An Introspective Model for Variational Neural Machine Translation.

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[DOI]

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

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation.

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[DOI]

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

2019

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent.

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[DOI]

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

SPINE: Structural Identity Preserved Inductive Network Embedding.

[BibT_eX]

[DOI]

Junliang Guo

Linli Xu

Jingchang Liu

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

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.

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[DOI]

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

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input.

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[DOI]

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

2018

Asynchronous Stochastic Composition Optimization with Variance Reduction.

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[DOI]

CoRR, 2018

SPINE: Structural Identity Preserved Inductive Network Embedding.

[BibT_eX]

[DOI]

Junliang Guo

Linli Xu

Jingchang Chen

CoRR, 2018

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.

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[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective.

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[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Generalized Neural Graph Embedding with Matrix Factorization.

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[DOI]

CoRR, 2017

2016

Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.

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[DOI]

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

2015

Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction.

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[DOI]

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

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.

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[DOI]

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

Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective.

[BibT_eX]

[DOI]

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

Feature Selection with Integrated Relevance and Redundancy Optimization.

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[DOI]

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

Community Detection Based on Structure and Content: A Content Propagation Perspective.

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[DOI]

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

A Nonconvex Relaxation Approach for Rank Minimization Problems.

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[DOI]

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

Temporally Adaptive Restricted Boltzmann Machine for Background Modeling.

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[DOI]

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

Exploiting Task-Feature Co-Clusters in Multi-Task Learning.

[BibT_eX]

[DOI]

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

2014

Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels.

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[DOI]

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

Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework.

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[DOI]

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

2012

Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning.

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[DOI]

Neurocomputing, 2012

Image Denoising and Inpainting with Deep Neural Networks.

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[DOI]

Junyuan Xie

Linli Xu

Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Ensemble Pruning via Constrained Eigen-Optimization.

[BibT_eX]

[DOI]

Linli Xu

Bo Li

Enhong Chen

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Leveraging tagging for neighborhood-aware probabilistic matrix factorization.

[BibT_eX]

[DOI]

Le Wu

Enhong Chen