Yongyi Mao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2001–2026

Best venue rank

Where they publish

Papers

81 indexed papers, newest first.

Year	Venue	Title	Authors
2026	ISIT	f-Mutual Information Based Fano-Type Inequalities for Arbitrary Loss Functions.	Zhiyi Dong, Zixuan Liu, Yongyi Mao
2025	ICLR	Algorithmic Stability Based Generalization Bounds for Adversarial Training.	Runzhi Tian, Yongyi Mao
2025	ICML	Generalization in Federated Learning: A Conditional Mutual Information Framework.	Ziqiao Wang, Cheng Long, Yongyi Mao
2025	UAI	Adversarial Training May Induce Deteriorating Distributions.	Runzhi Tian, Yongyi Mao
2024	AAAI	On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning.	Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao
2024	AAAI	Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model.	Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
2024	WWW	Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification.	Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao
2024	WWW	DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.	Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao
2024	WWW	Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners.	Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao
2024	UAI	Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States.	Ziqiao Wang, Yongyi Mao
2023	AAAI	Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime.	Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
2023	AAAI	Interpolating Graph Pair to Regularize Graph Classification.	Hongyu Guo, Yongyi Mao
2023	AAAI	Multi-Mask Label Mapping for Prompt-Based Learning.	Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao
2023	EMNLP	Anaphor Assisted Document-Level Relation Extraction.	Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
2023	ICLR	Over-Training with Mixup May Hurt Generalization.	Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
2023	ICLR	On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations.	Zhijie Nie, Richong Zhang, Yongyi Mao
2023	ICLR	Information-Theoretic Analysis of Unsupervised Domain Adaptation.	Ziqiao Wang, Yongyi Mao
2023	ICML	Tighter Information-Theoretic Generalization Bounds from Supersamples.	Ziqiao Wang, Yongyi Mao
2023	ICNC	Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN.	Zhixian Cheng, Yongyi Mao, Chengkai Tian
2023	ICNC	Improved Indoor Localization Algorithm Combining K-means Clustering Algorithm And Wasserstein Generative Adversarial Network Algorithm.	Chaosheng Li, Yongyi Mao
2023	KDD	Open-Set Semi-Supervised Text Classification with Latent Outlier Softening.	Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao
2023	WWW	Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.	Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu
2023	WWW	Word Sense Disambiguation by Refining Target Word Embedding.	Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao
2022	AAAI	ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification.	Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2022	AAAI	Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives.	Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao
2022	ACL	A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking.	Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2022	EMNLP	Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding.	Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao
2022	EMNLP	DropMix: A Textual Data Augmentation Combining Dropout with Mixup.	Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao
2022	EMNLP	Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning.	Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
2022	EMNLP	Text Style Transferring via Adversarial Masking and Styled Filling.	Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
2022	ICLR	On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications.	Ziqiao Wang, Yongyi Mao
2022	ICTAI	On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training.	Chune Li, Yongyi Mao, Richong Zhang
2021	AAAI	On the Softmax Bottleneck of Recurrent Language Models.	Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen
2021	AAAI	Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction.	Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2021	AAAI	On Scalar Embedding of Relative Positions in Attention Models.	Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen
2021	ACL	Hypernym Discovery via a Recurrent Mapping Model.	Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao
2021	CVPR	Regularizing Neural Networks via Adversarial Model Perturbation.	Yaowei Zheng, Richong Zhang, Yongyi Mao
2021	ICLR	On the Dynamics of Training Attention Models.	Haoye Lu, Yongyi Mao, Amiya Nayak
2021	IJCAI	Robust Regularization with Adversarial Labelling of Perturbed Samples.	Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
2021	IJCAI	Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing.	Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai
2021	WWW	Unsupervised Semantic Association Learning with Latent Label Inference.	Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao
2020	AAAI	Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers.	Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
2020	AAAI	Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph.	Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu
2020	AAAI	Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification.	Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao
2020	EMNLP	Neural Dialogue State Tracking with Temporally Expressive Networks.	Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020	EMNLP	Parallel Interactive Networks for Multi-Domain Dialogue State Generation.	Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020	EMNLP	Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations.	Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2020	EMNLP	Learning VAE-LDA Models with Rounded Reparameterization Trick.	Runzhi Tian, Yongyi Mao, Richong Zhang
2020	WWW	Dynamic Graph Convolutional Networks for Entity Linking.	Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai
2020	WWW	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
2019	AAAI	MixUp as Locally Linear Out-of-Manifold Regularization.	Hongyu Guo, Yongyi Mao, Richong Zhang
2019	AAAI	LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion.	Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
2019	AAAI	Generating Chinese Ci with Designated Metrical Structure.	Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
2019	EMNLP	Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.	Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu
2019	EMNLP	Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree.	Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2019	IJCAI	Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach.	Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai
2019	PRICAI	Writing to the Hopfield Memory via Training a Recurrent Network.	Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai
2019	WWW	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
2018	AAAI	Embedding of Hierarchically Typed Knowledge Bases.	Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao
2018	COLING	The APVA-TURBO Approach To Question Answering in Knowledge Base.	Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao
2018	EMNLP	Syntax Encoding with Application in Authorship Attribution.	Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao
2018	WWW	Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding.	Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao
2018	SIGIR	On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols.	Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng
2016	IJCAI	On the Representation and Embedding of Knowledge Bases beyond Binary Relations.	Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang
2016	UAI	On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm.	Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai
2014	AAAI	A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows.	Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao
2014	ISIT	On stochastic estimation of the partition function.	Ali Al-Bashabsheh, Yongyi Mao
2012	ISIT	A graphical revisit of the Krawtchouk transform.	Yongyi Mao, Terence H. Chan
2011	IJCAI	Recommender Systems from "Words of Few Mouths".	Richong Zhang, Thomas T. Tran, Yongyi Mao
2011	ISIT	Normal factor graphs: A diagrammatic approach to linear algebra.	Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel
2010	ICDE	Graphical models for dependencies and queries in uncertain data.	Ruiwen Chen, Iluju Kiringa, Yongyi Mao
2010	ICDE	Generator-Recognizer Networks: A unified approach to probabilistic databases.	Ruiwen Chen, Yongyi Mao, Iluju Kiringa
2010	ITW	Valiant transform of forney graphs.	Ali Al-Bashabsheh, Yongyi Mao
2010	SIGMOD	GRN model of probabilistic databases: construction, transition and querying.	Ruiwen Chen, Yongyi Mao, Iluju Kiringa
2007	ISIT	On the Design of Raptor Codes for Binary-Input Gaussian Channels.	Zhong Cheng, Jeff Castura, Yongyi Mao
2006	GLOBECOM	Reduced-Complexity Decoding of Raptor Codes over Fading Channels.	Ketai Hu, Jeff Castura, Yongyi Mao
2006	ISIT	On Rateless Coding over Fading Channels with Delay Constraints.	Jeff Castura, Yongyi Mao, Stark C. Draper
2006	ISIT	On Generalized Survey Propagation: Normal Realization and Sum-Product Interpretation.	Ronghui Tu, Yongyi Mao, Jiying Zhao
2005	ISIT	Rateless coding for wireless relay channels.	Jeff Castura, Yongyi Mao
2004	UAI	Convolutional Factor Graphs as Probabilistic Models.	Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
2001	GLOBECOM	A new schedule for decoding low-density parity-check codes.	Yongyi Mao, Amir H. Banihashemi