Chieh-Hsin Lai
17 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (7)
🌍
Conference Polyglot
(5)
🤝
Dynamic Duo
(14)
🏆
Grand Slam
🗃️
Keyword Collector
(55)
🔥
Unstoppable
(5)
⚡
Prolific Year
(6)
💎
Century Club
(16)
Conferences
ICLR (8)
ICML (4)
NIPS (2)
AAAI (1)
ACL (1)
AISTATS (1)
Top co-authors
Keywords
diffusion model
(4)
variational autoencoder
(2)
generative model
(2)
zero-shot learning
(1)
variational inference
(1)
image restoration
(1)
image generation
(1)
personalized generation
(1)
knowledge distillation
(1)
depth estimation
(1)
monocular depth estimation
(1)
posterior sampling
(1)
outlier detection
(1)
vector quantization
(1)
likelihood estimation
(1)
novelty detection
(1)
reconstruction error
(1)
score matching
(1)
gibbs sampler
(1)
attention mechanism
(1)
Papers
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing
AAAI 2026
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
ICLR 2025
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
ICLR 2025
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
VCT: Training Consistency Models with Variational Noise Coupling
ICML 2025
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
ICLR 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NIPS 2024
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
NIPS 2024
On the Language Encoder of Contrastive Cross-modal Models
ACL 2024
Manifold Preserving Guided Diffusion
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