Yongyi Mao

Orcid: 0000-0001-5298-5778

According to our database1, Yongyi Mao authored at least 133 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On f-Divergence Principled Domain Adaptation: An Improved Framework.
CoRR, 2024

Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners.
Proceedings of the ACM on Web Conference 2024, 2024

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.
Proceedings of the ACM on Web Conference 2024, 2024

Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification.
Proceedings of the ACM on Web Conference 2024, 2024

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Information Bottleneck and Aggregated Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation.
IEEE Trans. Knowl. Data Eng., October, 2023

Knowledge Base Embedding for Sampling-Based Prediction.
ACM Trans. Inf. Syst., April, 2023

Learning Implicit and Explicit Multi-task Interactions for Information Extraction.
ACM Trans. Inf. Syst., April, 2023

On robust overfitting: adversarial training induced distribution matters.
CoRR, 2023

Adversarial Defenses via Vector Quantization.
CoRR, 2023

AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime.
CoRR, 2023

Word Sense Disambiguation by Refining Target Word Embedding.
Proceedings of the ACM Web Conference 2023, 2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.
Proceedings of the ACM Web Conference 2023, 2023

Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open-Set Semi-Supervised Text Classification with Latent Outlier Softening.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improved Indoor Localization Algorithm Combining K-means Clustering Algorithm And Wasserstein Generative Adversarial Network Algorithm.
Proceedings of the 19th International Conference on Natural Computation, 2023

Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN.
Proceedings of the 19th International Conference on Natural Computation, 2023

Tighter Information-Theoretic Generalization Bounds from Supersamples.
Proceedings of the International Conference on Machine Learning, 2023

Information-Theoretic Analysis of Unsupervised Domain Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Over-Training with Mixup May Hurt Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Anaphor Assisted Document-Level Relation Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Localization of Multi-Building Floors Based on Wavelet-CNN.
Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

Multi-Mask Label Mapping for Prompt-Based Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Interpolating Graph Pair to Regularize Graph Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

The capacity of the dense associative memory networks.
Neurocomputing, 2022

Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States.
CoRR, 2022

Cross Domain Few-Shot Learning via Meta Adversarial Training.
CoRR, 2022

Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation.
CoRR, 2022

On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Text Style Transferring via Adversarial Masking and Styled Filling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DropMix: A Textual Data Augmentation Combining Dropout with Mixup.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Vector Quantization of Deep Convolutional Neural Networks With Learned Codebook.
Proceedings of the 17th Canadian Workshop on Information Theory, 2022

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Intrusion-Free Graph Mixup.
CoRR, 2021

Unsupervised Semantic Association Learning with Latent Label Inference.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Regularization with Adversarial Labelling of Perturbed Samples.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

On the Dynamics of Training Attention Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Regularizing Neural Networks via Adversarial Model Perturbation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Hypernym Discovery via a Recurrent Mapping Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Scalar Embedding of Relative Positions in Attention Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

On the Softmax Bottleneck of Recurrent Language Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities.
ACM Trans. Inf. Syst., 2020

Knowledge graphs completion via probabilistic reasoning.
Inf. Sci., 2020

A revisit to MacKay algorithm and its application to deep network compression.
Frontiers Comput. Sci., 2020

On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions.
CoRR, 2020

Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dynamic Graph Convolutional Networks for Entity Linking.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning VAE-LDA Models with Rounded Reparameterization Trick.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Parallel Interactive Networks for Multi-Domain Dialogue State Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Dialogue State Tracking with Temporally Expressive Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training.
ACM Trans. Inf. Syst., 2019

MixUp as Directional Adversarial Training.
CoRR, 2019

Augmenting Data with Mixup for Sentence Classification: An Empirical Study.
CoRR, 2019

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks.
CoRR, 2019

Movie Recommendation via Markovian Factorization of Matrix Processes.
IEEE Access, 2019

Recurrent Neural Networks With Finite Memory Length.
IEEE Access, 2019

A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity.
Proceedings of the World Wide Web Conference, 2019

Writing to the Hopfield Memory via Training a Recurrent Network.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Conditional VAE-Based Conversation Model.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

Generating Chinese Ci with Designated Metrical Structure.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

MixUp as Locally Linear Out-of-Manifold Regularization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
On the integration of crowd knowledge in pattern recognition.
Pattern Recognit. Lett., 2018

Single-station location algorithm based on secondary scatterer model.
J. Comput. Methods Sci. Eng., 2018

Prototypical recurrent unit.
Neurocomputing, 2018

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process.
CoRR, 2018

Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks.
CoRR, 2018

Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Syntax Encoding with Application in Authorship Attribution.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The APVA-TURBO Approach To Question Answering in Knowledge Base.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Embedding of Hierarchically Typed Knowledge Bases.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

On the Representation and Embedding of Knowledge Bases beyond Binary Relations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Non-binary distributed arithmetic coding.
Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

Communication of dependent messages over degraded compound channels.
Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

2014
Trust Prediction via Belief Propagation.
ACM Trans. Inf. Syst., 2014

On stochastic estimation of the partition function.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Translation schemes and LP bounds.
Proceedings of the 13th Canadian Workshop on Information Theory, 2013

2012
Opinion helpfulness prediction in the presence of "words of few mouths".
World Wide Web, 2012

Error Reduction in Multiple-Access Systems by Message Wrapping.
IEEE Commun. Lett., 2012

Normal Factor Graphs as Probabilistic Models
CoRR, 2012

Real-time helpfulness prediction based on voter opinions.
Concurr. Comput. Pract. Exp., 2012

A graphical revisit of the Krawtchouk transform.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Normal Factor Graphs and Holographic Transformations.
IEEE Trans. Inf. Theory, 2011

Normal factor graphs: A diagrammatic approach to linear algebra.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

An Encryption Algorithm of Chaos Based on Sine Square Mapping.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

Recommender Systems from "Words of Few Mouths".
Proceedings of the IJCAI 2011, 2011

2010
Is SP BP?
IEEE Trans. Inf. Theory, 2010

On Holant Theorem and Its Proof
CoRR, 2010

GRN model of probabilistic databases: construction, transition and querying.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Valiant transform of forney graphs.
Proceedings of the 2010 IEEE Information Theory Workshop, 2010

Generator-Recognizer Networks: A unified approach to probabilistic databases.
Proceedings of the 26th International Conference on Data Engineering, 2010

Graphical models for dependencies and queries in uncertain data.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

2009
On the design of raptor codes for binary-input gaussian channels.
IEEE Trans. Commun., 2009

2008
Survey Propagation as "Probabilistic Token Passing".
IEICE Trans. Inf. Syst., 2008

2007
Rateless Coding for Wireless Relay Channels.
IEEE Trans. Wirel. Commun., 2007

Speech Quality Evaluation: A New Application of Digital Watermarking.
IEEE Trans. Instrum. Meas., 2007

Rateless Coding and Relay Networks.
IEEE Signal Process. Mag., 2007

Performance-Complexity Tradeoffs of Raptor Codes over Gaussian Channels.
IEEE Commun. Lett., 2007

2006
Rateless coding over fading channels.
IEEE Commun. Lett., 2006

On Generalized Survey Propagation: Normal Realization and Sum-Product Interpretation.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

On Rateless Coding over Fading Channels with Delay Constraints.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Reduced-Complexity Decoding of Raptor Codes over Fading Channels.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

2005
On factor graphs and the Fourier transform.
IEEE Trans. Inf. Theory, 2005

A factor graph approach to link loss monitoring in wireless sensor networks.
IEEE J. Sel. Areas Commun., 2005

2004
Convolutional Factor Graphs as Probabilistic Models.
Proceedings of the UAI '04, 2004

2001
Decoding low-density parity-check codes with probabilistic scheduling.
IEEE Commun. Lett., 2001

A multi-base station multi-carrier PRMA MAC protocol.
Proceedings of the Proceedings 9th IEEE International Conference on Networks, 2001

A heuristic search for good low-density parity-check codes at short block lengths.
Proceedings of the IEEE International Conference on Communications, 2001

A new schedule for decoding low-density parity-check codes.
Proceedings of the Global Telecommunications Conference, 2001


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