Yongyi Mao

Algorithmic Stability Based Generalization Bounds for Adversarial Training ICLR 2025 Adversarial Training May Induce Deteriorating Distributions UAI 2025 Generalization in Federated Learning: A Conditional Mutual Information Framework ICML 2025 Generalization Bounds via Conditional $f$-Information NIPS 2024 Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States UAI 2024 Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model AAAI 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 On $f$-Divergence Principled Domain Adaptation: An Improved Framework NIPS 2024 Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime AAAI 2023 Multi-Mask Label Mapping for Prompt-Based Learning AAAI 2023 Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds NIPS 2023 Tighter Information-Theoretic Generalization Bounds from Supersamples ICML 2023 On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations ICLR 2023 Information-Theoretic Analysis of Unsupervised Domain Adaptation ICLR 2023 Over-Training with Mixup May Hurt Generalization ICLR 2023 Anaphor Assisted Document-Level Relation Extraction EMNLP 2023 Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking ACL 2022 ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification AAAI 2022 Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives AAAI 2022 DropMix: A Textual Data Augmentation Combining Dropout with Mixup EMNLP 2022 Text Style Transferring via Adversarial Masking and Styled Filling EMNLP 2022 Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding EMNLP 2022 Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning EMNLP 2022 On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications ICLR 2022 On Scalar Embedding of Relative Positions in Attention Models AAAI 2021 On the Dynamics of Training Attention Models ICLR 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021 On the Softmax Bottleneck of Recurrent Language Models AAAI 2021 Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing IJCAI 2021 Hypernym Discovery via a Recurrent Mapping Model ACL 2021 Hypernym Discovery via a Recurrent Mapping Model IJCNLP 2021 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021 Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph AAAI 2020 Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020 Parallel Interactive Networks for Multi-Domain Dialogue State Generation EMNLP 2020 Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations EMNLP 2020 Neural Dialogue State Tracking with Temporally Expressive Networks EMNLP 2020 Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification AAAI 2020 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020 Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework EMNLP 2019 Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework IJCNLP 2019 Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree IJCNLP 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion AAAI 2019 Generating Chinese Ci with Designated Metrical Structure AAAI 2019 Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach IJCAI 2019 Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree EMNLP 2019 Syntax Encoding with Application in Authorship Attribution EMNLP 2018 The APVA-TURBO Approach To Question Answering in Knowledge Base COLING 2018 On the Representation and Embedding of Knowledge Bases beyond Binary Relations IJCAI 2016