Yongyi Mao

According to our database, Yongyi Mao authored at least 129 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Ziqiao Wang, Yongyi Mao

CoRR, 2024

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model.

Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao

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

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning.

Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao

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

2023

Information Bottleneck and Aggregated Learning.

Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao

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

A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification.

Junfan Chen, Richong Zhang, Jie Xu, Chunming Hu, Yongyi Mao

IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation.

Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

IEEE Trans. Knowl. Data Eng., October, 2023

Knowledge Base Embedding for Sampling-Based Prediction.

Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao

ACM Trans. Inf. Syst., April, 2023

Learning Implicit and Explicit Multi-task Interactions for Information Extraction.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

ACM Trans. Inf. Syst., April, 2023

On robust overfitting: adversarial training induced distribution matters.

Runzhi Tian, Yongyi Mao

CoRR, 2023

Adversarial Defenses via Vector Quantization.

Zhiyi Dong, Yongyi Mao

CoRR, 2023

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

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

CoRR, 2023

Word Sense Disambiguation by Refining Target Word Embedding.

Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao

Proceedings of the ACM Web Conference 2023, 2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.

Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu

Proceedings of the ACM Web Conference 2023, 2023

Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds.

Ziqiao Wang, Yongyi Mao

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.

Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao

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.

Chaosheng Li, Yongyi Mao

Proceedings of the 19th International Conference on Natural Computation, 2023

Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN.

Zhixian Cheng, Yongyi Mao, Chengkai Tian

Proceedings of the 19th International Conference on Natural Computation, 2023

Tighter Information-Theoretic Generalization Bounds from Supersamples.

Ziqiao Wang, Yongyi Mao

Proceedings of the International Conference on Machine Learning, 2023

Information-Theoretic Analysis of Unsupervised Domain Adaptation.

Ziqiao Wang, Yongyi Mao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations.

Zhijie Nie, Richong Zhang, Yongyi Mao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Over-Training with Mixup May Hurt Generalization.

Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Anaphor Assisted Document-Level Relation Extraction.

Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao

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

Multi-Mask Label Mapping for Prompt-Based Learning.

Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao

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

Interpolating Graph Pair to Regularize Graph Classification.

Hongyu Guo, Yongyi Mao

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

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime.

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

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

2022

Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network.

Richong Zhang, Qianben Chen, Yaowei Zheng, Samuel Mensah, Yongyi Mao

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing.

Junshuang Wu, Richong Zhang, Yongyi Mao, Jinpeng Huai

IEEE ACM Trans. Audio Speech Lang. Process., 2022

The capacity of the dense associative memory networks.

Han Bao, Richong Zhang, Yongyi Mao

Neurocomputing, 2022

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

Ziqiao Wang, Yongyi Mao

CoRR, 2022

Cross Domain Few-Shot Learning via Meta Adversarial Training.

Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao

CoRR, 2022

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

Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao

CoRR, 2022

On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training.

Chune Li, Yongyi Mao, Richong Zhang

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.

Ziqiao Wang, Yongyi Mao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Text Style Transferring via Adversarial Masking and Styled Filling.

Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

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.

Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

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

DropMix: A Textual Data Augmentation Combining Dropout with Mixup.

Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding.

Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Vector Quantization of Deep Convolutional Neural Networks With Learned Codebook.

Siyuan Yang, Yongyi Mao

Proceedings of the 17th Canadian Workshop on Information Theory, 2022

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

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

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives.

Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao

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

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

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

2021

Intrusion-Free Graph Mixup.

Hongyu Guo, Yongyi Mao

CoRR, 2021

Unsupervised Semantic Association Learning with Latent Label Inference.

Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao

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

Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing.

Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Regularization with Adversarial Labelling of Perturbed Samples.

Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

On the Dynamics of Training Attention Models.

Haoye Lu, Yongyi Mao, Amiya Nayak

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

Regularizing Neural Networks via Adversarial Model Perturbation.

Yaowei Zheng, Richong Zhang, Yongyi Mao

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

Hypernym Discovery via a Recurrent Mapping Model.

Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Scalar Embedding of Relative Positions in Attention Models.

Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen

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.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

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

On the Softmax Bottleneck of Recurrent Language Models.

Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen

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

2020

Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities.

Richong Zhang, Samuel Mensah, Fanshuang Kong, Zhiyuan Hu, Yongyi Mao, Xudong Liu

ACM Trans. Inf. Syst., 2020

Knowledge graphs completion via probabilistic reasoning.

Richong Zhang, Yongyi Mao, Weihua Zhao

Inf. Sci., 2020

A revisit to MacKay algorithm and its application to deep network compression.

Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai

Frontiers Comput. Sci., 2020

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

Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang

CoRR, 2020

Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification.

Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao

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

Dynamic Graph Convolutional Networks for Entity Linking.

Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai

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

Learning VAE-LDA Models with Rounded Reparameterization Trick.

Runzhi Tian, Yongyi Mao, Richong Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Parallel Interactive Networks for Multi-Domain Dialogue State Generation.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Dialogue State Tracking with Temporally Expressive Networks.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

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.

Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao

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

Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph.

Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu

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

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers.

Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang

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

2019

Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training.

Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai

ACM Trans. Inf. Syst., 2019

MixUp as Directional Adversarial Training.

Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang

CoRR, 2019

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

Hongyu Guo, Yongyi Mao, Richong Zhang

CoRR, 2019

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks.

Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao

CoRR, 2019

Movie Recommendation via Markovian Factorization of Matrix Processes.

Richong Zhang, Yongyi Mao

IEEE Access, 2019

Recurrent Neural Networks With Finite Memory Length.

Dingkun Long, Richong Zhang, Yongyi Mao

IEEE Access, 2019

A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity.

Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao

Proceedings of the World Wide Web Conference, 2019

Writing to the Hopfield Memory via Training a Recurrent Network.

Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach.

Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai

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

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

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.

Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu

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.

Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

Generating Chinese Ci with Designated Metrical Structure.

Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao

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

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion.

Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng

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

MixUp as Locally Linear Out-of-Manifold Regularization.

Hongyu Guo, Yongyi Mao, Richong Zhang

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

2018

On the integration of crowd knowledge in pattern recognition.

Richong Zhang, Yongyi Mao

Pattern Recognit. Lett., 2018

Single-station location algorithm based on secondary scatterer model.

Liangzhan Zhao, Yongyi Mao, Ping Xu

J. Comput. Methods Sci. Eng., 2018

Prototypical recurrent unit.

Dingkun Long, Richong Zhang, Yongyi Mao

Neurocomputing, 2018

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process.

Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang

CoRR, 2018

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

Hongyu Guo, Yongyi Mao, Richong Zhang

CoRR, 2018

Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding.

Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao

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.

Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Syntax Encoding with Application in Authorship Attribution.

Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao

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.

Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Embedding of Hierarchically Typed Knowledge Bases.

Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao

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.

Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

On the Representation and Embedding of Knowledge Bases beyond Binary Relations.

Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Non-binary distributed arithmetic coding.

Ziyang Wang, Yongyi Mao, Iluju Kiringa

Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

Communication of dependent messages over degraded compound channels.

Zhong Cheng, Yongyi Mao, Terence Chan

Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

2014

Trust Prediction via Belief Propagation.

Richong Zhang, Yongyi Mao

ACM Trans. Inf. Syst., 2014

On stochastic estimation of the partition function.

Ali Al-Bashabsheh, Yongyi Mao

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.

Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao

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

2013

Translation schemes and LP bounds.

Ali Al-Bashabsheh, Yongyi Mao, Terence H. Chan

Proceedings of the 13th Canadian Workshop on Information Theory, 2013

2012

Opinion helpfulness prediction in the presence of "words of few mouths".

Richong Zhang, Thomas T. Tran, Yongyi Mao

World Wide Web, 2012

Error Reduction in Multiple-Access Systems by Message Wrapping.

Terence Chan, Yongyi Mao

IEEE Commun. Lett., 2012

Normal Factor Graphs as Probabilistic Models

Ali Al-Bashabsheh, Yongyi Mao

CoRR, 2012

Real-time helpfulness prediction based on voter opinions.

Richong Zhang, Thomas T. Tran, Yongyi Mao

Concurr. Comput. Pract. Exp., 2012

A graphical revisit of the Krawtchouk transform.

Yongyi Mao, Terence H. Chan

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Normal Factor Graphs and Holographic Transformations.

Ali Al-Bashabsheh, Yongyi Mao

IEEE Trans. Inf. Theory, 2011

Normal factor graphs: A diagrammatic approach to linear algebra.

Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

An Encryption Algorithm of Chaos Based on Sine Square Mapping.

Yongyi Mao, Xiang Chen

Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

Recommender Systems from "Words of Few Mouths".

Richong Zhang, Thomas T. Tran, Yongyi Mao

Proceedings of the IJCAI 2011, 2011

2010

Is SP BP?

Ronghui Tu, Yongyi Mao, Jiying Zhao

IEEE Trans. Inf. Theory, 2010

On Holant Theorem and Its Proof

Ali Al-Bashabsheh, Yongyi Mao, Abbas Yongaçoglu

CoRR, 2010

GRN model of probabilistic databases: construction, transition and querying.

Ruiwen Chen, Yongyi Mao, Iluju Kiringa

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Valiant transform of forney graphs.

Ali Al-Bashabsheh, Yongyi Mao

Proceedings of the 2010 IEEE Information Theory Workshop, 2010

Generator-Recognizer Networks: A unified approach to probabilistic databases.

Ruiwen Chen, Yongyi Mao, Iluju Kiringa

Proceedings of the 26th International Conference on Data Engineering, 2010

Graphical models for dependencies and queries in uncertain data.

Ruiwen Chen, Iluju Kiringa, Yongyi Mao

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.

Zhong Cheng, Jeff Castura, Yongyi Mao

IEEE Trans. Commun., 2009

2008

Survey Propagation as "Probabilistic Token Passing".

Ronghui Tu, Yongyi Mao, Jiying Zhao

IEICE Trans. Inf. Syst., 2008

2007

Rateless Coding for Wireless Relay Channels.

Jeff Castura, Yongyi Mao

IEEE Trans. Wirel. Commun., 2007

Speech Quality Evaluation: A New Application of Digital Watermarking.

Libin Cai, Ronghui Tu, Jiying Zhao, Yongyi Mao

IEEE Trans. Instrum. Meas., 2007

Rateless Coding and Relay Networks.

Jeff Castura, Yongyi Mao

IEEE Signal Process. Mag., 2007

Performance-Complexity Tradeoffs of Raptor Codes over Gaussian Channels.

Ketai Hu, Jeff Castura, Yongyi Mao

IEEE Commun. Lett., 2007

2006

Rateless coding over fading channels.

Jeff Castura, Yongyi Mao

IEEE Commun. Lett., 2006

On Generalized Survey Propagation: Normal Realization and Sum-Product Interpretation.

Ronghui Tu, Yongyi Mao, Jiying Zhao

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

On Rateless Coding over Fading Channels with Delay Constraints.

Jeff Castura, Yongyi Mao, Stark C. Draper

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Reduced-Complexity Decoding of Raptor Codes over Fading Channels.

Ketai Hu, Jeff Castura, Yongyi Mao

Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

2005

On factor graphs and the Fourier transform.

Yongyi Mao, Frank R. Kschischang

IEEE Trans. Inf. Theory, 2005

A factor graph approach to link loss monitoring in wireless sensor networks.

Yongyi Mao, Frank R. Kschischang, Baochun Li, Subbarayan Pasupathy

IEEE J. Sel. Areas Commun., 2005

2004

Convolutional Factor Graphs as Probabilistic Models.

Yongyi Mao, Frank R. Kschischang, Brendan J. Frey

Proceedings of the UAI '04, 2004

2001

Decoding low-density parity-check codes with probabilistic scheduling.

Yongyi Mao, Amir H. Banihashemi

IEEE Commun. Lett., 2001

A multi-base station multi-carrier PRMA MAC protocol.

Mingyuan Li, Yongyi Mao, Xiaoyan Zhang, Juan Guo

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.

Yongyi Mao, Amir H. Banihashemi

Proceedings of the IEEE International Conference on Communications, 2001

A new schedule for decoding low-density parity-check codes.

Yongyi Mao, Amir H. Banihashemi

Proceedings of the Global Telecommunications Conference, 2001