Haotian Ye
28 papers · 2021–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 4 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Haotian Ye?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with James Zou, Stefano Ermon, Haowei Lin
12 papers
· 2023–2026
· ICML, AISTATS, ICLR
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Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
CVPR 2026
Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs
EACL 2026
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
ICCV 2025
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
AISTATS 2025
Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering
ICLR 2025
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
ICLR 2025
Geometric Trajectory Diffusion Models
NeurIPS 2024
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
ICML 2024
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
ICML 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
ICML 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NeurIPS 2024
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
AISTATS 2023