Yongyi Mao

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 115

Top Venues

CoRR

AAAI

WWW

ACM Trans. Inf. Syst.

Publications

Ziqiao Wang, Yongyi Mao
On f-Divergence Principled Domain Adaptation: An Improved Framework. CoRR (2024)
Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao
Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. WWW (2024)
Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI (2024)
Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI (2024)
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)
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)
Ziqiao Wang, Yongyi Mao
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. CoRR (2023)
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) (2023)
Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao
Multi-Mask Label Mapping for Prompt-Based Learning. AAAI (2023)
Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zhiyi Dong, Yongyi Mao
Adversarial Defenses via Vector Quantization. CoRR (2023)
Ziqiao Wang, Yongyi Mao
Tighter Information-Theoretic Generalization Bounds from Supersamples. ICML (2023)
Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR (2023)
Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. CoRR (2023)
Chaosheng Li, Yongyi Mao
Improved Indoor Localization Algorithm Combining K-means Clustering Algorithm And Wasserstein Generative Adversarial Network Algorithm. ICNC-FSKD (2023)
Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao
Knowledge Base Embedding for Sampling-Based Prediction. ACM Trans. Inf. Syst. 41 (2) (2023)
Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR (2023)
Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI (2023)
Runzhi Tian, Yongyi Mao
On robust overfitting: adversarial training induced distribution matters. CoRR (2023)
Yongyi Mao, Zhiwei Wu, Chengkai Tian
Localization of Multi-Building Floors Based on Wavelet-CNN. AIPR (2023)
Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
Over-training with Mixup May Hurt Generalization. CoRR (2023)
Ziqiao Wang, Yongyi Mao
Information-Theoretic Analysis of Unsupervised Domain Adaptation. ICLR (2023)
Ziqiao Wang, Yongyi Mao
Tighter Information-Theoretic Generalization Bounds from Supersamples. CoRR (2023)
Zhixian Cheng, Yongyi Mao, Chengkai Tian
Indoor-Outdoor Scene Recognition Method based on Adaboost-PNN. ICNC-FSKD (2023)
Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD (2023)
Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
Over-Training with Mixup May Hurt Generalization. ICLR (2023)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR (2023)
Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
Anaphor Assisted Document-Level Relation Extraction. EMNLP (2023)
Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
Anaphor Assisted Document-Level Relation Extraction. CoRR (2023)
Ziqiao Wang, Yongyi Mao
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds. NeurIPS (2023)
Zhijie Nie, Richong Zhang, Yongyi Mao
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR (2023)
Hongyu Guo, Yongyi Mao
Interpolating Graph Pair to Regularize Graph Classification. AAAI (2023)
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) (2023)
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) (2023)
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)
Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao
Word Sense Disambiguation by Refining Target Word Embedding. WWW (2023)
Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. EMNLP (2022)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI (2022)
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)
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 (2022)
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)
Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. AAAI (2022)
Chune Li, Yongyi Mao, Richong Zhang
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. ICTAI (2022)
Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. CoRR (2022)
Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP (2022)
Ziqiao Wang, Yongyi Mao
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. ICLR (2022)
Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao
DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP (2022)
Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao
Cross Domain Few-Shot Learning via Meta Adversarial Training. CoRR (2022)
Siyuan Yang, Yongyi Mao
Vector Quantization of Deep Convolutional Neural Networks With Learned Codebook. CWIT (2022)
Ziqiao Wang, Yongyi Mao
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States. CoRR (2022)
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 (2022)
Ziqiao Wang, Yongyi Mao
Information-Theoretic Analysis of Unsupervised Domain Adaptation. CoRR (2022)
Han Bao, Richong Zhang, Yongyi Mao
The capacity of the dense associative memory networks. Neurocomputing 469 (2022)
Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen
On the Softmax Bottleneck of Recurrent Language Models. AAAI (2021)
Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen
On Scalar Embedding of Relative Positions in Attention Models. AAAI (2021)
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)
Hongyu Guo, Yongyi Mao
Intrusion-Free Graph Mixup. CoRR (2021)
Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao
Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) (2021)
Haoye Lu, Yongyi Mao, Amiya Nayak
On the Dynamics of Training Attention Models. ICLR (2021)
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
Robust Regularization with Adversarial Labelling of Perturbed Samples. CoRR (2021)
Ziqiao Wang, Yongyi Mao
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications. CoRR (2021)
Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao
Unsupervised Semantic Association Learning with Latent Label Inference. WWW (2021)
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)
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
Robust Regularization with Adversarial Labelling of Perturbed Samples. IJCAI (2021)
Yaowei Zheng, Richong Zhang, Yongyi Mao
Regularizing Neural Networks via Adversarial Model Perturbation. CVPR (2021)
Richong Zhang, Yongyi Mao, Weihua Zhao
Knowledge graphs completion via probabilistic reasoning. Inf. Sci. 521 (2020)
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)
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. CoRR (2020)
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) (2020)
Runzhi Tian, Yongyi Mao, Richong Zhang
Learning VAE-LDA Models with Rounded Reparameterization Trick. EMNLP (1) (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) (2020)
Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai
Dynamic Graph Convolutional Networks for Entity Linking. WWW (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR (2020)
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. EMNLP (1) (2020)
Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. AAAI (2020)
Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR (2020)
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)
Haoye Lu, Yongyi Mao, Amiya Nayak
On the Dynamics of Training Attention Models. CoRR (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) (2020)
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI (2020)
Yaowei Zheng, Richong Zhang, Yongyi Mao
Regularizing Neural Networks via Adversarial Model Perturbation. CoRR (2020)
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) (2020)
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR (2020)
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)
Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai
Writing to the Hopfield Memory via Training a Recurrent Network. PRICAI (2) (2019)
Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao
A Conditional VAE-Based Conversation Model. CCKS (2019)
Hongyu Guo, Yongyi Mao, Richong Zhang
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR (2019)
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP/IJCNLP (1) (2019)
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)
Hongyu Guo, Yongyi Mao, Richong Zhang
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI (2019)
Dingkun Long, Richong Zhang, Yongyi Mao
Recurrent Neural Networks With Finite Memory Length. IEEE Access 7 (2019)
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) (2019)
Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI (2019)
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
Generating Chinese Ci with Designated Metrical Structure. AAAI (2019)
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR (2019)
Richong Zhang, Yongyi Mao
Movie Recommendation via Markovian Factorization of Matrix Processes. IEEE Access 7 (2019)
Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang
MixUp as Directional Adversarial Training. CoRR (2019)
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)
Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. CoRR (2019)

Yongyi Mao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yongyi Mao