← Authors

Yongyi Mao

52 papers · 2016–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (84) πŸ”¬ Deep Specialist (10) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (38) πŸ† Grand Slam ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (52) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (196)

Conferences

AAAI (16) EMNLP (12) ICLR (6) IJCAI (4) IJCNLP (3) NIPS (3) ACL (2) ICML (2) UAI (2) COLING (1) CVPR (1)

Top co-authors

Richong Zhang (38) Junfan Chen (12) Samuel Mensah (10) Ziqiao Wang (10) Hongyu Guo (8) Xudong Liu (7) Kai Sun (7) Fanshuang Kong (5) Jie Xu (5) Jaein Kim (4)

Keywords

neural network (7) text classification (5) contrastive learning (4) relation extraction (4) representation learning (4) few-shot learning (3) expectation maximization (3) data augmentation (3) aspect-level sentiment (3) graph convolutional network (3) generalization bound (3) adversarial training (3) dependency tree (3) attention mechanism (3) prompt-based learning (2) sample complexity (2) multi-task learning (2) adversarial learning (2) learning theory (2) entity linking (2)

Papers

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