Yongyi Mao - RankMe

172 papers A* 53A 4B 12Journal 80Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Adversarial Training May Induce Deteriorating Distributions. UAI Runzhi Tian, Yongyi Mao
2025	J	`jnl`	Adversarial defenses via vector quantization. Neurocomputing Zhiyi Dong, Yongyi Mao
2025	A*	`conf`	Algorithmic Stability Based Generalization Bounds for Adversarial Training. ICLR Runzhi Tian, Yongyi Mao
2025	J	`jnl`	Distributional Information Embedding: A Framework for Multi-bit Watermarking. CoRR Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu
2025	A*	`conf`	Generalization in Federated Learning: A Conditional Mutual Information Framework. ICML Ziqiao Wang, Cheng Long, Yongyi Mao
2025	J	`jnl`	Generalization in Federated Learning: A Conditional Mutual Information Framework. CoRR Ziqiao Wang, Cheng Long, Yongyi Mao
2025	J	`jnl`	On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective. CoRR Zhiyi Dong, Zixuan Liu, Yongyi Mao
2024	A*	`conf`	DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. WWW Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao
2024	J	`jnl`	Generalization Bounds via Conditional CoRR Ziqiao Wang, Yongyi Mao
2024	A*	`conf`	Generalization Bounds via Conditional f-Information. NeurIPS Ziqiao Wang, Yongyi Mao
2024	A*	`conf`	Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. WWW Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao
2024	A*	`conf`	Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
2024	A*	`conf`	On $f$-Divergence Principled Domain Adaptation: An Improved Framework. NeurIPS Ziqiao Wang, Yongyi Mao
2024	A*	`conf`	On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao
2024	J	`jnl`	On f-Divergence Principled Domain Adaptation: An Improved Framework. CoRR Ziqiao Wang, Yongyi Mao
2024	A*	`conf`	Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. WWW Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao
2024	A	`conf`	Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States. UAI Ziqiao Wang, Yongyi Mao
2024	J	`jnl`	Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice. CoRR Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu
2023	J	`jnl`	A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. Junfan Chen, Richong Zhang, Jie Xu, Chunming Hu, Yongyi Mao
2023	J	`jnl`	Adversarial Defenses via Vector Quantization. CoRR Zhiyi Dong, Yongyi Mao
2023	A*	`conf`	Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
2023	J	`jnl`	AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
2023	A*	`conf`	Anaphor Assisted Document-Level Relation Extraction. EMNLP Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
2023	J	`jnl`	Anaphor Assisted Document-Level Relation Extraction. CoRR Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
2023	J	`jnl`	ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2023	—	`conf`	Improved Indoor Localization Algorithm Combining K-means Clustering Algorithm And Wasserstein Generative Adversarial Network Algorithm. ICNC-FSKD Chaosheng Li, Yongyi Mao
2023	—	`conf`	Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN. ICNC-FSKD Zhixian Cheng, Yongyi Mao, Chengkai Tian
2023	J	`jnl`	Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao
2023	A*	`conf`	Information-Theoretic Analysis of Unsupervised Domain Adaptation. ICLR Ziqiao Wang, Yongyi Mao
2023	A*	`conf`	Interpolating Graph Pair to Regularize Graph Classification. AAAI Hongyu Guo, Yongyi Mao
2023	J	`jnl`	Knowledge Base Embedding for Sampling-Based Prediction. ACM Trans. Inf. Syst. Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao
2023	J	`jnl`	Learning Implicit and Explicit Multi-task Interactions for Information Extraction. ACM Trans. Inf. Syst. Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2023	—	`conf`	Localization of Multi-Building Floors Based on Wavelet-CNN. AIPR Yongyi Mao, Zhiwei Wu, Chengkai Tian
2023	A*	`conf`	Multi-Mask Label Mapping for Prompt-Based Learning. AAAI Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao
2023	J	`jnl`	Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. CoRR Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
2023	A*	`conf`	On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR Zhijie Nie, Richong Zhang, Yongyi Mao
2023	J	`jnl`	On robust overfitting: adversarial training induced distribution matters. CoRR Runzhi Tian, Yongyi Mao
2023	A*	`conf`	Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao
2023	A*	`conf`	Over-Training with Mixup May Hurt Generalization. ICLR Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
2023	J	`jnl`	Over-training with Mixup May Hurt Generalization. CoRR Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
2023	A*	`conf`	Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. NeurIPS Ziqiao Wang, Yongyi Mao
2023	J	`jnl`	Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. CoRR Ziqiao Wang, Yongyi Mao
2023	A*	`conf`	Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. WWW Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu
2023	J	`jnl`	Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu
2023	J	`jnl`	Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation. IEEE Trans. Knowl. Data Eng. Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
2023	A*	`conf`	Tighter Information-Theoretic Generalization Bounds from Supersamples. ICML Ziqiao Wang, Yongyi Mao
2023	J	`jnl`	Tighter Information-Theoretic Generalization Bounds from Supersamples. CoRR Ziqiao Wang, Yongyi Mao
2023	A*	`conf`	Word Sense Disambiguation by Refining Target Word Embedding. WWW Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao
2022	—	`conf`	A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking. ACL (Findings) Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2022	J	`jnl`	Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. Richong Zhang, Qianben Chen, Yaowei Zheng, Samuel Mensah, Yongyi Mao
2022	A*	`conf`	ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2022	A*	`conf`	Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. EMNLP Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao
2022	J	`jnl`	Cross Domain Few-Shot Learning via Meta Adversarial Training. CoRR Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao
2022	J	`jnl`	Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing. IEEE ACM Trans. Audio Speech Lang. Process. Junshuang Wu, Richong Zhang, Yongyi Mao, Jinpeng Huai
2022	A*	`conf`	DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao
2022	J	`jnl`	Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. CoRR Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao
2022	J	`jnl`	Information-Theoretic Analysis of Unsupervised Domain Adaptation. CoRR Ziqiao Wang, Yongyi Mao
2022	B	`conf`	On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. ICTAI Chune Li, Yongyi Mao, Richong Zhang
2022	A*	`conf`	On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. ICLR Ziqiao Wang, Yongyi Mao
2022	—	`conf`	Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. EMNLP (Findings) Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
2022	A*	`conf`	Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
2022	J	`jnl`	The capacity of the dense associative memory networks. Neurocomputing Han Bao, Richong Zhang, Yongyi Mao
2022	J	`jnl`	Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States. CoRR Ziqiao Wang, Yongyi Mao
2022	A*	`conf`	Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. AAAI Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao
2022	—	`conf`	Vector Quantization of Deep Convolutional Neural Networks With Learned Codebook. CWIT Siyuan Yang, Yongyi Mao
2021	A*	`conf`	Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. IJCAI Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai
2021	—	`conf`	Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao
2021	J	`jnl`	Intrusion-Free Graph Mixup. CoRR Hongyu Guo, Yongyi Mao
2021	A*	`conf`	On Scalar Embedding of Relative Positions in Attention Models. AAAI Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen
2021	A*	`conf`	On the Dynamics of Training Attention Models. ICLR Haoye Lu, Yongyi Mao, Amiya Nayak
2021	J	`jnl`	On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. CoRR Ziqiao Wang, Yongyi Mao
2021	A*	`conf`	On the Softmax Bottleneck of Recurrent Language Models. AAAI Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen
2021	A*	`conf`	Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. AAAI Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2021	A*	`conf`	Regularizing Neural Networks via Adversarial Model Perturbation. CVPR Yaowei Zheng, Richong Zhang, Yongyi Mao
2021	A*	`conf`	Robust Regularization with Adversarial Labelling of Perturbed Samples. IJCAI Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
2021	J	`jnl`	Robust Regularization with Adversarial Labelling of Perturbed Samples. CoRR Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
2021	A*	`conf`	Unsupervised Semantic Association Learning with Latent Label Inference. WWW Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao
2020	J	`jnl`	A revisit to MacKay algorithm and its application to deep network compression. Frontiers Comput. Sci. Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai
2020	A*	`conf`	Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
2020	J	`jnl`	Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
2020	A*	`conf`	Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. WWW Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao
2020	A*	`conf`	Dynamic Graph Convolutional Networks for Entity Linking. WWW Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai
2020	J	`jnl`	Knowledge graphs completion via probabilistic reasoning. Inf. Sci. Richong Zhang, Yongyi Mao, Weihua Zhao
2020	—	`conf`	Learning VAE-LDA Models with Rounded Reparameterization Trick. EMNLP (1) Runzhi Tian, Yongyi Mao, Richong Zhang
2020	—	`conf`	Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020	J	`jnl`	Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020	J	`jnl`	On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang
2020	J	`jnl`	On the Dynamics of Training Attention Models. CoRR Haoye Lu, Yongyi Mao, Amiya Nayak
2020	J	`jnl`	Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities. ACM Trans. Inf. Syst. Richong Zhang, Samuel Mensah, Fanshuang Kong, Zhiyuan Hu, Yongyi Mao, Xudong Liu
2020	—	`conf`	Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020	J	`jnl`	Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
2020	—	`conf`	Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. EMNLP (1) Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2020	J	`jnl`	Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. CoRR Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2020	J	`jnl`	Regularizing Neural Networks via Adversarial Model Perturbation. CoRR Yaowei Zheng, Richong Zhang, Yongyi Mao
2020	A*	`conf`	Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. AAAI Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu
2020	A*	`conf`	Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. AAAI Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao
2019	—	`conf`	A Conditional VAE-Based Conversation Model. CCKS Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao
2019	A*	`conf`	A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. WWW Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao
2019	—	`conf`	Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP/IJCNLP (1) Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
2019	J	`jnl`	Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR Hongyu Guo, Yongyi Mao, Richong Zhang
2019	A*	`conf`	Generating Chinese Ci with Designated Metrical Structure. AAAI Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
2019	A*	`conf`	LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
2019	J	`jnl`	MixUp as Directional Adversarial Training. CoRR Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang
2019	A*	`conf`	MixUp as Locally Linear Out-of-Manifold Regularization. AAAI Hongyu Guo, Yongyi Mao, Richong Zhang
2019	A*	`conf`	Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. IJCAI Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai
2019	J	`jnl`	Movie Recommendation via Markovian Factorization of Matrix Processes. IEEE Access Richong Zhang, Yongyi Mao
2019	J	`jnl`	Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training. ACM Trans. Inf. Syst. Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai
2019	J	`jnl`	Recurrent Neural Networks With Finite Memory Length. IEEE Access Dingkun Long, Richong Zhang, Yongyi Mao
2019	—	`conf`	Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu
2019	J	`jnl`	Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu
2019	J	`jnl`	Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. CoRR Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao
2019	—	`conf`	Writing to the Hopfield Memory via Training a Recurrent Network. PRICAI (2) Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai
2018	J	`jnl`	Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. CoRR Hongyu Guo, Yongyi Mao, Richong Zhang
2018	A*	`conf`	Embedding of Hierarchically Typed Knowledge Bases. AAAI Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao
2018	J	`jnl`	Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. CoRR Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang
2018	J	`jnl`	MixUp as Locally Linear Out-Of-Manifold Regularization. CoRR Hongyu Guo, Yongyi Mao, Richong Zhang
2018	A*	`conf`	On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. SIGIR Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng
2018	J	`jnl`	On the integration of crowd knowledge in pattern recognition. Pattern Recognit. Lett. Richong Zhang, Yongyi Mao
2018	J	`jnl`	Prototypical recurrent unit. Neurocomputing Dingkun Long, Richong Zhang, Yongyi Mao
2018	A*	`conf`	Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding. WWW Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao
2018	J	`jnl`	Single-station location algorithm based on secondary scatterer model. J. Comput. Methods Sci. Eng. Liangzhan Zhao, Yongyi Mao, Ping Xu
2018	A*	`conf`	Syntax Encoding with Application in Authorship Attribution. EMNLP Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao
2018	B	`conf`	The APVA-TURBO Approach To Question Answering in Knowledge Base. COLING Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao
2016	A	`conf`	On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm. UAI Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai
2016	A*	`conf`	On the Representation and Embedding of Knowledge Bases beyond Binary Relations. IJCAI Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang
2016	J	`jnl`	On the representation and embedding of knowledge bases beyond binary relations. CoRR Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang
2016	J	`jnl`	Prototypical Recurrent Unit. CoRR Dingkun Long, Richong Zhang, Yongyi Mao
2015	—	`conf`	Communication of dependent messages over degraded compound channels. CWIT Zhong Cheng, Yongyi Mao, Terence Chan
2015	—	`conf`	Non-binary distributed arithmetic coding. CWIT Ziyang Wang, Yongyi Mao, Iluju Kiringa
2014	A*	`conf`	A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. AAAI Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao
2014	J	`jnl`	On Stochastic Estimation of Partition Function. CoRR Ali Al-Bashabsheh, Yongyi Mao
2014	B	`conf`	On stochastic estimation of the partition function. ISIT Ali Al-Bashabsheh, Yongyi Mao
2014	J	`jnl`	Trust Prediction via Belief Propagation. ACM Trans. Inf. Syst. Richong Zhang, Yongyi Mao
2013	—	`conf`	Translation schemes and LP bounds. CWIT Ali Al-Bashabsheh, Yongyi Mao, Terence H. Chan
2012	B	`conf`	A graphical revisit of the Krawtchouk transform. ISIT Yongyi Mao, Terence H. Chan
2012	J	`jnl`	Convolutional Factor Graphs as Probabilistic Models CoRR Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
2012	J	`jnl`	Error Reduction in Multiple-Access Systems by Message Wrapping. IEEE Commun. Lett. Terence Chan, Yongyi Mao
2012	J	`jnl`	Normal Factor Graphs as Probabilistic Models CoRR Ali Al-Bashabsheh, Yongyi Mao
2012	J	`jnl`	Opinion helpfulness prediction in the presence of "words of few mouths". World Wide Web Richong Zhang, Thomas T. Tran, Yongyi Mao
2012	J	`jnl`	Real-time helpfulness prediction based on voter opinions. Concurr. Comput. Pract. Exp. Richong Zhang, Thomas T. Tran, Yongyi Mao
2011	—	`conf`	An Encryption Algorithm of Chaos Based on Sine Square Mapping. ISCID (1) Yongyi Mao, Xiang Chen
2011	J	`jnl`	Normal Factor Graphs and Holographic Transformations. IEEE Trans. Inf. Theory Ali Al-Bashabsheh, Yongyi Mao
2011	J	`jnl`	Normal Factor Graphs: A Diagrammatic Approach to Linear Algebra CoRR Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel
2011	B	`conf`	Normal factor graphs: A diagrammatic approach to linear algebra. ISIT Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel
2011	A*	`conf`	Recommender Systems from "Words of Few Mouths". IJCAI Richong Zhang, Thomas T. Tran, Yongyi Mao
2010	—	`conf`	GRN model of probabilistic databases: construction, transition and querying. SIGMOD Conference Ruiwen Chen, Yongyi Mao, Iluju Kiringa
2010	A*	`conf`	Generator-Recognizer Networks: A unified approach to probabilistic databases. ICDE Ruiwen Chen, Yongyi Mao, Iluju Kiringa
2010	—	`conf`	Graphical models for dependencies and queries in uncertain data. ICDE Workshops Ruiwen Chen, Iluju Kiringa, Yongyi Mao
2010	J	`jnl`	Is SP BP? IEEE Trans. Inf. Theory Ronghui Tu, Yongyi Mao, Jiying Zhao
2010	J	`jnl`	On Holant Theorem and Its Proof CoRR Ali Al-Bashabsheh, Yongyi Mao, Abbas Yongaçoglu
2010	J	`jnl`	Valiant Transform of Forney Graphs CoRR Ali Al-Bashabsheh, Yongyi Mao
2010	B	`conf`	Valiant transform of forney graphs. ITW Ali Al-Bashabsheh, Yongyi Mao
2009	J	`jnl`	On the design of raptor codes for binary-input gaussian channels. IEEE Trans. Commun. Zhong Cheng, Jeff Castura, Yongyi Mao
2008	J	`jnl`	Is SP BP? CoRR Ronghui Tu, Yongyi Mao, Jiying Zhao
2008	J	`jnl`	Survey Propagation as "Probabilistic Token Passing". IEICE Trans. Inf. Syst. Ronghui Tu, Yongyi Mao, Jiying Zhao
2007	B	`conf`	On the Design of Raptor Codes for Binary-Input Gaussian Channels. ISIT Zhong Cheng, Jeff Castura, Yongyi Mao
2007	J	`jnl`	Performance-Complexity Tradeoffs of Raptor Codes over Gaussian Channels. IEEE Commun. Lett. Ketai Hu, Jeff Castura, Yongyi Mao
2007	J	`jnl`	Rateless Coding and Relay Networks. IEEE Signal Process. Mag. Jeff Castura, Yongyi Mao
2007	J	`jnl`	Rateless Coding for Wireless Relay Channels. IEEE Trans. Wirel. Commun. Jeff Castura, Yongyi Mao
2007	J	`jnl`	Speech Quality Evaluation: A New Application of Digital Watermarking. IEEE Trans. Instrum. Meas. Libin Cai, Ronghui Tu, Jiying Zhao, Yongyi Mao
2006	B	`conf`	On Generalized Survey Propagation: Normal Realization and Sum-Product Interpretation. ISIT Ronghui Tu, Yongyi Mao, Jiying Zhao
2006	B	`conf`	On Rateless Coding over Fading Channels with Delay Constraints. ISIT Jeff Castura, Yongyi Mao, Stark C. Draper
2006	J	`jnl`	Rateless coding over fading channels. IEEE Commun. Lett. Jeff Castura, Yongyi Mao
2006	B	`conf`	Reduced-Complexity Decoding of Raptor Codes over Fading Channels. GLOBECOM Ketai Hu, Jeff Castura, Yongyi Mao
2005	J	`jnl`	A factor graph approach to link loss monitoring in wireless sensor networks. IEEE J. Sel. Areas Commun. Yongyi Mao, Frank R. Kschischang, Baochun Li, Subbarayan Pasupathy
2005	J	`jnl`	On factor graphs and the Fourier transform. IEEE Trans. Inf. Theory Yongyi Mao, Frank R. Kschischang
2005	B	`conf`	Rateless coding for wireless relay channels. ISIT Jeff Castura, Yongyi Mao
2004	A	`conf`	Convolutional Factor Graphs as Probabilistic Models. UAI Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
2001	—	`conf`	A heuristic search for good low-density parity-check codes at short block lengths. ICC Yongyi Mao, Amir H. Banihashemi
2001	—	`conf`	A multi-base station multi-carrier PRMA MAC protocol. ICON Mingyuan Li, Yongyi Mao, Xiaoyan Zhang, Juan Guo
2001	B	`conf`	A new schedule for decoding low-density parity-check codes. GLOBECOM Yongyi Mao, Amir H. Banihashemi
2001	J	`jnl`	Decoding low-density parity-check codes with probabilistic scheduling. IEEE Commun. Lett. Yongyi Mao, Amir H. Banihashemi