Hongyu Guo
35 papers · 2014–2025 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (11)
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Hot Topic Early Bird
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Cross-Pollinator
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Taxonomy Completionist
(48)
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Triple Crown
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Grand Slam
π₯
Unstoppable
(12)
π
Century Club
(35)
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Conference Pioneer
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Trend Setter
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Prolific Year
(7)
ποΈ
Keyword Collector
(127)
Conferences
ICLR (6)
ICML (5)
AAAI (4)
ACL (4)
IJCAI (3)
NAACL (3)
EMNLP (2)
IJCNLP (2)
NIPS (2)
COLING (1)
NSDI (1)
SEMEVAL (1)
UAI (1)
Top co-authors
Keywords
neural network
(4)
text classification
(4)
data augmentation
(3)
variational inference
(3)
representation learning
(3)
expectation maximization
(3)
graph neural network
(3)
relation extraction
(2)
label denoising
(2)
noisy label
(2)
molecular graph
(2)
distant supervision
(2)
machine reading comprehension
(2)
deep neural network
(2)
generative model
(2)
emotion cause extraction
(2)
attention mechanism
(1)
self-supervised learning
(1)
transfer learning
(1)
optimal transport
(1)
Papers
AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
ICLR 2025
Structure Language Models for Protein Conformation Generation
ICLR 2025
TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control
NSDI 2024
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations
NAACL 2024
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations
SEMEVAL 2024
MUCH: A Multimodal Corpus Construction for Conversational Humor Recognition Based on Chinese Sitcom
COLING 2024
Conversational Drug Editing Using Retrieval and Domain Feedback
ICLR 2024
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
NIPS 2023
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
NIPS 2023
Interpolating Graph Pair to Regularize Graph Classification
AAAI 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
ACL 2023
Over-Training with Mixup May Hurt Generalization
ICLR 2023
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
ICLR 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
ICML 2023
Pre-training Molecular Graph Representation with 3D Geometry
ICLR 2022
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
ICML 2021
Symmetric Wasserstein autoencoders
UAI 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure
ICML 2021
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification
AAAI 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
ICML 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
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval
IJCAI 2019
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach
IJCAI 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
IJCNLP 2019
MixUp as Locally Linear Out-of-Manifold Regularization
AAAI 2019
Syntax Encoding with Application in Authorship Attribution
EMNLP 2018
Exemplar-centered Supervised Shallow Parametric Data Embedding
IJCAI 2017
A Deep Network with Visual Text Composition Behavior
ACL 2017
DAG-Structured Long Short-Term Memory for Semantic Compositionality
NAACL 2016
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
NAACL 2015
Representation Based Translation Evaluation Metrics
ACL 2015
Long Short-Term Memory Over Recursive Structures
ICML 2015
Representation Based Translation Evaluation Metrics
IJCNLP 2015
An Empirical Study on the Effect of Negation Words on Sentiment
ACL 2014