Chenyang Tao
26 papers · 2018–2025 · 10 venues · across top CS/AI venues
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Achievements
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(12)
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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(124)
Venues
Top co-authors
Research topics
Machine Learning
(23)
Deep Learning
(12)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(11)
Natural Language Processing
(10)
Optimization & Theory
(10)
Core Methods
(9)
Learning Types Β· Deep Learning
(8)
Core AI
(7)
Generation
(6)
Models
(6)
Mathematics & Optimization
(3)
Application Areas
(3)
Bayesian & Probabilistic
(3)
Optimization
(3)
Keywords
optimal transport
(5)
text generation
(5)
variational inference
(4)
generative model
(4)
generative adversarial network
(3)
adversarial learning
(3)
machine translation
(3)
reinforcement learning
(2)
variational autoencoder
(2)
uncertainty estimation
(2)
contrastive learning
(2)
sequence generation
(2)
representation learning
(2)
synthetic data generation
(2)
maximum likelihood estimation
(2)
causal inference
(2)
image captioning
(2)
catastrophic forgetting
(2)
graph representation
(2)
token probability
(2)
Papers
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
NAACL 2025
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
EMNLP 2025
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
ECCV 2024
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
ICML 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
ACL 2024
PLACES: Prompting Language Models for Social Conversation Synthesis
EACL 2023
Unsupervised Melody-to-Lyrics Generation
ACL 2023
Gradient Importance Learning for Incomplete Observations
ICLR 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
NeurIPS 2022
APo-VAE: Text Generation in Hyperbolic Space
NAACL 2021
Counterfactual Representation Learning with Balancing Weights
AISTATS 2021
Multi-Grained Knowledge Distillation for Named Entity Recognition
NAACL 2021
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
NeurIPS 2021
Variational Disentanglement for Rare Event Modeling
AAAI 2021
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Reconsidering Generative Objectives For Counterfactual Reasoning
NeurIPS 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Improving Textual Network Learning with Variational Homophilic Embeddings
NeurIPS 2019
On Fenchel Mini-Max Learning
NeurIPS 2019
Variational Annealing of GANs: A Langevin Perspective
ICML 2019
Adversarial Text Generation via Feature-Mover's Distance
NeurIPS 2018
Adversarial Time-to-Event Modeling
ICML 2018
Chi-square Generative Adversarial Network
ICML 2018
Variational Inference and Model Selection with Generalized Evidence Bounds
ICML 2018