Chieh-Hsin Lai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
7
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing. | Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji |
| 2025 | ICASSP | Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. | Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martnez Ramrez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji |
| 2025 | ICLR | HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. | Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji |
| 2025 | ICLR | Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. | Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji |
| 2025 | ICLR | SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation. | Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji |
| 2025 | ICLR | Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric. | Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji |
| 2025 | ICML | VCT: Training Consistency Models with Variational Noise Coupling. | Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji |
| 2025 | IJCNN | Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion. | Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji |
| 2024 | ACL | On the Language Encoder of Contrastive Cross-modal Models. | Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji |
| 2024 | ICASSP | VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. | Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martnez Ramrez, Wei-Hsiang Liao, Yuki Mitsufuji |
| 2024 | ICLR | Manifold Preserving Guided Diffusion. | Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon |
| 2024 | ICLR | Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. | Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon |
| 2024 | ICLR | SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. | Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji |
| 2023 | AISTATS | Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. | Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman |
| 2023 | ICASSP | Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models. | Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji |
| 2023 | ICML | FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation. | Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon |
| 2023 | ICML | GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. | Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon |
| 2022 | ICML | SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. | Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji |
| 2020 | ICLR | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. | Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman |