Chieh-Hsin Lai
18 papers · 2020–2026 · 7 venues · across top CS/AI venues
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diffusion model
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latent diffusion
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outlier detection
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text generation
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online learning
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Papers
MeanFlow Transformers with Representation Autoencoders
CVPR 2026
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing
AAAI 2026
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
ICLR 2025
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
ICLR 2025
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
ICLR 2025
VCT: Training Consistency Models with Variational Noise Coupling
ICML 2025
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
ICLR 2025
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
NeurIPS 2024
Manifold Preserving Guided Diffusion
ICLR 2024
On the Language Encoder of Contrastive Cross-modal Models
ACL 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NeurIPS 2024
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
ICLR 2024
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
ICML 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
ICML 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection
AISTATS 2023
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
ICML 2022
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
ICLR 2020