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2020 – today
- 2024
[c86]Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI 2024: 13590-13599- [c85]Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao:
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI 2024: 18399-18407 - [c84]Xiyang Liu
, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao:
Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. WWW 2024: 4283-4294 - [c83]Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao:
Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. WWW 2024: 4352-4361 - [c82]Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao:
DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. WWW 2024: 4362-4371 - [i42]Ziqiao Wang, Yongyi Mao:
On f-Divergence Principled Domain Adaptation: An Improved Framework. CoRR abs/2402.01887 (2024) - [i41]Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu:
Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice. CoRR abs/2410.02890 (2024) - 2023
- [j33]Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao:
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14807-14820 (2023) - [j32]Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation. IEEE Trans. Knowl. Data Eng. 35(10): 10464-10477 (2023) - [j31]Junfan Chen, Richong Zhang, Jie Xu, Chunming Hu, Yongyi Mao:
A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 35(11): 10992-11003 (2023) - [j30]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Learning Implicit and Explicit Multi-task Interactions for Information Extraction. ACM Trans. Inf. Syst. 41(2): 27:1-27:29 (2023) - [j29]Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao:
Knowledge Base Embedding for Sampling-Based Prediction. ACM Trans. Inf. Syst. 41(2): 28:1-28:25 (2023) - [c81]Hongyu Guo, Yongyi Mao:
Interpolating Graph Pair to Regularize Graph Classification. AAAI 2023: 7766-7774 - [c80]Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI 2023: 12626-12634 - [c79]Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao:
Multi-Mask Label Mapping for Prompt-Based Learning. AAAI 2023: 13465-13473 - [c78]Yongyi Mao, Zhiwei Wu, Chengkai Tian:
Localization of Multi-Building Floors Based on Wavelet-CNN. AIPR 2023: 373-380 - [c77]Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao:
Anaphor Assisted Document-Level Relation Extraction. EMNLP 2023: 15453-15464 - [c76]Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-Training with Mixup May Hurt Generalization. ICLR 2023 - [c75]Zhijie Nie, Richong Zhang, Yongyi Mao:
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR 2023 - [c74]Ziqiao Wang, Yongyi Mao:
Information-Theoretic Analysis of Unsupervised Domain Adaptation. ICLR 2023 - [c73]Ziqiao Wang, Yongyi Mao:
Tighter Information-Theoretic Generalization Bounds from Supersamples. ICML 2023: 36111-36137 - [c72]Zhixian Cheng, Yongyi Mao, Chengkai Tian:
Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN. ICNC-FSKD 2023: 1-6 - [c71]Chaosheng Li, Yongyi Mao:
Improved Indoor Localization Algorithm Combining K-means Clustering Algorithm And Wasserstein Generative Adversarial Network Algorithm. ICNC-FSKD 2023: 1-5 - [c70]Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao:
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD 2023: 226-236 - [c69]Ziqiao Wang, Yongyi Mao:
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. NeurIPS 2023 - [c68]Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao:
Word Sense Disambiguation by Refining Target Word Embedding. WWW 2023: 1405-1414 - [c67]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. WWW 2023: 1594-1603 - [i40]Ziqiao Wang, Yongyi Mao:
Tighter Information-Theoretic Generalization Bounds from Supersamples. CoRR abs/2302.02432 (2023) - [i39]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR abs/2302.14719 (2023) - [i38]Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-training with Mixup May Hurt Generalization. CoRR abs/2303.01475 (2023) - [i37]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR abs/2305.09269 (2023) - [i36]Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR abs/2305.09287 (2023) - [i35]Zhiyi Dong, Yongyi Mao:
Adversarial Defenses via Vector Quantization. CoRR abs/2305.13651 (2023) - [i34]Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. CoRR abs/2309.06453 (2023) - [i33]Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao:
Anaphor Assisted Document-Level Relation Extraction. CoRR abs/2310.18604 (2023) - [i32]Ziqiao Wang, Yongyi Mao:
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. CoRR abs/2310.20102 (2023) - [i31]Runzhi Tian, Yongyi Mao:
On robust overfitting: adversarial training induced distribution matters. CoRR abs/2311.16526 (2023) - 2022
- [j28]Han Bao, Richong Zhang, Yongyi Mao:
The capacity of the dense associative memory networks. Neurocomputing 469: 198-208 (2022) - [j27]Junshuang Wu, Richong Zhang, Yongyi Mao, Jinpeng Huai:
Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1305-1318 (2022) - [j26]Richong Zhang, Qianben Chen, Yaowei Zheng, Samuel Mensah, Yongyi Mao:
Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2568-2583 (2022) - [c66]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI 2022: 10492-10500 - [c65]Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao:
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. AAAI 2022: 11730-11738 - [c64]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking. ACL (Findings) 2022: 1449-1458 - [c63]Siyuan Yang, Yongyi Mao:
Vector Quantization of Deep Convolutional Neural Networks With Learned Codebook. CWIT 2022: 39-44 - [c62]Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao:
DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP 2022: 890-899 - [c61]Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. EMNLP (Findings) 2022: 3952-3962 - [c60]Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP 2022: 7654-7663 - [c59]Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao:
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. EMNLP 2022: 8549-8559 - [c58]Ziqiao Wang, Yongyi Mao:
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. ICLR 2022 - [c57]Chune Li, Yongyi Mao, Richong Zhang:
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. ICTAI 2022: 577-584 - [i30]Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. CoRR abs/2201.08702 (2022) - [i29]Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao:
Cross Domain Few-Shot Learning via Meta Adversarial Training. CoRR abs/2202.05713 (2022) - [i28]Ziqiao Wang, Yongyi Mao:
Information-Theoretic Analysis of Unsupervised Domain Adaptation. CoRR abs/2210.00706 (2022) - [i27]Ziqiao Wang, Yongyi Mao:
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States. CoRR abs/2211.10691 (2022) - 2021
- [c56]Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen:
On the Softmax Bottleneck of Recurrent Language Models. AAAI 2021: 13640-13647 - [c55]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. AAAI 2021: 13851-13859 - [c54]Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen:
On Scalar Embedding of Relative Positions in Attention Models. AAAI 2021: 14050-14057 - [c53]Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao:
Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) 2021: 2912-2921 - [c52]Yaowei Zheng, Richong Zhang, Yongyi Mao:
Regularizing Neural Networks via Adversarial Model Perturbation. CVPR 2021: 8156-8165 - [c51]Haoye Lu, Yongyi Mao, Amiya Nayak:
On the Dynamics of Training Attention Models. ICLR 2021 - [c50]Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. IJCAI 2021: 2490-2496 - [c49]Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai:
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. IJCAI 2021: 3950-3956 - [c48]Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao:
Unsupervised Semantic Association Learning with Latent Label Inference. WWW 2021: 4010-4019 - [i26]Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. CoRR abs/2105.13745 (2021) - [i25]Ziqiao Wang, Yongyi Mao:
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. CoRR abs/2110.03128 (2021) - [i24]Hongyu Guo, Yongyi Mao:
Intrusion-Free Graph Mixup. CoRR abs/2110.09344 (2021) - 2020
- [j25]Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai:
A revisit to MacKay algorithm and its application to deep network compression. Frontiers Comput. Sci. 14(4): 144304 (2020) - [j24]Richong Zhang, Yongyi Mao, Weihua Zhao:
Knowledge graphs completion via probabilistic reasoning. Inf. Sci. 521: 144-159 (2020) - [j23]Richong Zhang, Samuel Mensah, Fanshuang Kong, Zhiyuan Hu, Yongyi Mao, Xudong Liu:
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities. ACM Trans. Inf. Syst. 38(4): 36:1-36:28 (2020) - [c47]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI 2020: 5810-5817 - [c46]Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu:
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. AAAI 2020: 8928-8935 - [c45]Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao:
Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. AAAI 2020: 9685-9692 - [c44]Runzhi Tian, Yongyi Mao, Richong Zhang:
Learning VAE-LDA Models with Rounded Reparameterization Trick. EMNLP (1) 2020: 1315-1325 - [c43]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) 2020: 1570-1579 - [c42]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) 2020: 1921-1931 - [c41]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. EMNLP (1) 2020: 3722-3732 - [c40]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. WWW 2020: 1149-1159 - [c39]Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao:
Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. WWW 2020: 2754-2760 - [i23]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR abs/2001.03955 (2020) - [i22]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. CoRR abs/2005.00162 (2020) - [i21]Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang:
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR abs/2009.04413 (2020) - [i20]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR abs/2009.07615 (2020) - [i19]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR abs/2009.07616 (2020) - [i18]Yaowei Zheng, Richong Zhang, Yongyi Mao:
Regularizing Neural Networks via Adversarial Model Perturbation. CoRR abs/2010.04925 (2020) - [i17]Haoye Lu, Yongyi Mao, Amiya Nayak:
On the Dynamics of Training Attention Models. CoRR abs/2011.10036 (2020)
2010 – 2019
- 2019
- [j22]Dingkun Long, Richong Zhang, Yongyi Mao:
Recurrent Neural Networks With Finite Memory Length. IEEE Access 7: 12511-12520 (2019) - [j21]Richong Zhang, Yongyi Mao:
Movie Recommendation via Markovian Factorization of Matrix Processes. IEEE Access 7: 13189-13199 (2019) - [j20]Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai:
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training. ACM Trans. Inf. Syst. 37(4): 40:1-40:26 (2019) - [c38]Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng:
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI 2019: 2895-2902 - [c37]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI 2019: 3714-3722 - [c36]Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao:
Generating Chinese Ci with Designated Metrical Structure. AAAI 2019: 7459-7467 - [c35]Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao:
A Conditional VAE-Based Conversation Model. CCKS 2019: 165-174 - [c34]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) 2019: 326-336 - [c33]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP/IJCNLP (1) 2019: 5678-5687 - [c32]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. IJCAI 2019: 5264-5270 - [c31]Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai:
Writing to the Hopfield Memory via Training a Recurrent Network. PRICAI (2) 2019: 241-254 - [c30]Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao:
A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. WWW 2019: 2929-2935 - [i16]Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao:
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. CoRR abs/1903.00906 (2019) - [i15]Hongyu Guo, Yongyi Mao, Richong Zhang:
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR abs/1905.08941 (2019) - [i14]Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang:
MixUp as Directional Adversarial Training. CoRR abs/1906.06875 (2019) - [i13]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR abs/1909.05448 (2019) - 2018
- [j19]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical recurrent unit. Neurocomputing 311: 146-154 (2018) - [j18]Liangzhan Zhao, Yongyi Mao, Ping Xu:
Single-station location algorithm based on secondary scatterer model. J. Comput. Methods Sci. Eng. 18(3): 737-747 (2018) - [j17]Richong Zhang, Yongyi Mao:
On the integration of crowd knowledge in pattern recognition. Pattern Recognit. Lett. 106: 1-6 (2018) - [c29]Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao:
Embedding of Hierarchically Typed Knowledge Bases. AAAI 2018: 2046-2053 - [c28]Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao:
The APVA-TURBO Approach To Question Answering in Knowledge Base. COLING 2018: 1998-2009 - [c27]Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao:
Syntax Encoding with Application in Authorship Attribution. EMNLP 2018: 2742-2753 - [c26]Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng:
On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. SIGIR 2018: 755-764 - [c25]Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao:
Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding. WWW 2018: 1185-1194 - [i12]Hongyu Guo, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. CoRR abs/1807.10251 (2018) - [i11]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. CoRR abs/1809.02499 (2018) - [i10]Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang:
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. CoRR abs/1809.07688 (2018) - 2016
- [c24]Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang:
On the Representation and Embedding of Knowledge Bases beyond Binary Relations. IJCAI 2016: 1300-1307 - [c23]Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai:
On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm. UAI 2016 - [i9]Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang:
On the representation and embedding of knowledge bases beyond binary relations. CoRR abs/1604.08642 (2016) - [i8]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical Recurrent Unit. CoRR abs/1611.06530 (2016) - 2015
- [c22]Ziyang Wang, Yongyi Mao, Iluju Kiringa:
Non-binary distributed arithmetic coding. CWIT 2015: 5-8 - [c21]Zhong Cheng, Yongyi Mao, Terence Chan:
Communication of dependent messages over degraded compound channels. CWIT 2015: 156-159 - 2014
- [j16]Richong Zhang, Yongyi Mao:
Trust Prediction via Belief Propagation. ACM Trans. Inf. Syst. 32(3): 15:1-15:27 (2014) - [c20]Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao:
A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. AAAI 2014: 3102-3103 - [c19]Ali Al-Bashabsheh, Yongyi Mao:
On stochastic estimation of the partition function. ISIT 2014: 1504-1508 - [i7]Ali Al-Bashabsheh, Yongyi Mao:
On Stochastic Estimation of Partition Function. CoRR abs/1401.7273 (2014) - 2013
- [c18]Ali Al-Bashabsheh, Yongyi Mao, Terence H. Chan:
Translation schemes and LP bounds. CWIT 2013: 200-204 - 2012
- [j15]Richong Zhang, Thomas T. Tran, Yongyi Mao:
Real-time helpfulness prediction based on voter opinions. Concurr. Comput. Pract. Exp. 24(17): 2167-2178 (2012) - [j14]Terence Chan, Yongyi Mao:
Error Reduction in Multiple-Access Systems by Message Wrapping. IEEE Commun. Lett. 16(5): 616-618 (2012) - [j13]Richong Zhang, Thomas T. Tran, Yongyi Mao:
Opinion helpfulness prediction in the presence of "words of few mouths". World Wide Web 15(2): 117-138 (2012) - [c17]Yongyi Mao, Terence H. Chan:
A graphical revisit of the Krawtchouk transform. ISIT 2012: 651-655 - [i6]Yongyi Mao, Frank R. Kschischang, Brendan J. Frey:
Convolutional Factor Graphs as Probabilistic Models. CoRR abs/1207.4136 (2012) - [i5]Ali Al-Bashabsheh, Yongyi Mao:
Normal Factor Graphs as Probabilistic Models. CoRR abs/1209.3300 (2012) - 2011
- [j12]Ali Al-Bashabsheh, Yongyi Mao:
Normal Factor Graphs and Holographic Transformations. IEEE Trans. Inf. Theory 57(2): 752-763 (2011) - [c16]Richong Zhang, Thomas T. Tran, Yongyi Mao:
Recommender Systems from "Words of Few Mouths". IJCAI 2011: 2379-2384 - [c15]Yongyi Mao, Xiang Chen:
An Encryption Algorithm of Chaos Based on Sine Square Mapping. ISCID (1) 2011: 131-134 - [c14]Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel:
Normal factor graphs: A diagrammatic approach to linear algebra. ISIT 2011: 2178-2182 - [i4]Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel:
Normal Factor Graphs: A Diagrammatic Approach to Linear Algebra. CoRR abs/1102.5755 (2011) - 2010
- [j11]Ronghui Tu, Yongyi Mao, Jiying Zhao:
Is SP BP? IEEE Trans. Inf. Theory 56(6): 2999-3032 (2010) - [c13]Ruiwen Chen, Yongyi Mao, Iluju Kiringa:
Generator-Recognizer Networks: A unified approach to probabilistic databases. ICDE 2010: 169-172 - [c12]Ruiwen Chen, Iluju Kiringa, Yongyi Mao:
Graphical models for dependencies and queries in uncertain data. ICDE Workshops 2010: 301-304 - [c11]Ali Al-Bashabsheh, Yongyi Mao:
Valiant transform of forney graphs. ITW 2010: 1-5 - [c10]Ruiwen Chen, Yongyi Mao, Iluju Kiringa:
GRN model of probabilistic databases: construction, transition and querying. SIGMOD Conference 2010: 291-302 - [i3]Ali Al-Bashabsheh, Yongyi Mao:
Valiant Transform of Forney Graphs. CoRR abs/1004.3833 (2010) - [i2]Ali Al-Bashabsheh, Yongyi Mao, Abbas Yongaçoglu:
On Holant Theorem and Its Proof. CoRR abs/1005.1349 (2010)
2000 – 2009
- 2009
- [j10]Zhong Cheng, Jeff Castura, Yongyi Mao:
On the design of raptor codes for binary-input gaussian channels. IEEE Trans. Commun. 57(11): 3269-3277 (2009) - 2008
- [j9]Ronghui Tu, Yongyi Mao, Jiying Zhao:
Survey Propagation as "Probabilistic Token Passing". IEICE Trans. Inf. Syst. 91-D(2): 231-233 (2008) - [i1]Ronghui Tu, Yongyi Mao, Jiying Zhao:
Is SP BP? CoRR abs/0801.4571 (2008) - 2007
- [j8]Ketai Hu, Jeff Castura, Yongyi Mao:
Performance-Complexity Tradeoffs of Raptor Codes over Gaussian Channels. IEEE Commun. Lett. 11(4): 343-345 (2007) - [j7]Jeff Castura, Yongyi Mao:
Rateless Coding and Relay Networks. IEEE Signal Process. Mag. 24(5): 27-35 (2007) - [j6]Libin Cai, Ronghui Tu, Jiying Zhao, Yongyi Mao:
Speech Quality Evaluation: A New Application of Digital Watermarking. IEEE Trans. Instrum. Meas. 56(1): 45-55 (2007) - [j5]Jeff Castura, Yongyi Mao:
Rateless Coding for Wireless Relay Channels. IEEE Trans. Wirel. Commun. 6(5): 1638-1642 (2007) - [c9]Zhong Cheng, Jeff Castura, Yongyi Mao:
On the Design of Raptor Codes for Binary-Input Gaussian Channels. ISIT 2007: 426-430 - 2006
- [j4]Jeff Castura, Yongyi Mao:
Rateless coding over fading channels. IEEE Commun. Lett. 10(1): 46-48 (2006) - [c8]Ketai Hu, Jeff Castura, Yongyi Mao:
Reduced-Complexity Decoding of Raptor Codes over Fading Channels. GLOBECOM 2006 - [c7]Jeff Castura, Yongyi Mao, Stark C. Draper:
On Rateless Coding over Fading Channels with Delay Constraints. ISIT 2006: 1124-1128 - [c6]Ronghui Tu, Yongyi Mao, Jiying Zhao:
On Generalized Survey Propagation: Normal Realization and Sum-Product Interpretation. ISIT 2006: 2042-2046 - 2005
- [j3]Yongyi Mao, Frank R. Kschischang, Baochun Li, Subbarayan Pasupathy:
A factor graph approach to link loss monitoring in wireless sensor networks. IEEE J. Sel. Areas Commun. 23(4): 820-829 (2005) - [j2]Yongyi Mao, Frank R. Kschischang:
On factor graphs and the Fourier transform. IEEE Trans. Inf. Theory 51(5): 1635-1649 (2005) - [c5]Jeff Castura, Yongyi Mao:
Rateless coding for wireless relay channels. ISIT 2005: 810-814 - 2004
- [c4]Yongyi Mao, Frank R. Kschischang, Brendan J. Frey:
Convolutional Factor Graphs as Probabilistic Models. UAI 2004: 374-381 - 2001
- [j1]Yongyi Mao, Amir H. Banihashemi:
Decoding low-density parity-check codes with probabilistic scheduling. IEEE Commun. Lett. 5(10): 414-416 (2001) - [c3]Yongyi Mao, Amir H. Banihashemi:
A new schedule for decoding low-density parity-check codes. GLOBECOM 2001: 1007-1010 - [c2]Yongyi Mao, Amir H. Banihashemi:
A heuristic search for good low-density parity-check codes at short block lengths. ICC 2001: 41-44 - [c1]Mingyuan Li, Yongyi Mao, Xiaoyan Zhang, Juan Guo:
A multi-base station multi-carrier PRMA MAC protocol. ICON 2001: 254-256
Coauthor Index
[c86] [c85] [c84] [c83] [c82] [j33] [j32] [j31] [j30] [j29] [c80] [c79] [c77] [c75] [c70] [c68] [c67] [i39] [i37] [i36] [i34] [i33] [j28] [j27] [j26] [c66] [c65] [c64] [c62] [c61] [c60] [c59] [c57] [i30] [i29] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [i26] [j25] [j24] [j23] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i23] [i22] [i21] [i20] [i19] [i18] [j22] [j21] [j20] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i16] [i15] [i14] [i13] [j19] [j17] [c29] [c28] [c27] [c26] [c25] [i12] [i11] [i10] [c24] [c23] [i9] [i8] [j16] [c20] [j15] [j13] [c16]
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