Ping Liu

Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation

2019 · arXiv (Cornell University)

For unsupervised domain adaptation problems, the strategy of aligning the two domains in latent feature space through adversarial learning has achieved much progress in image classification, but usually fails in semantic segmentation tasks in which …

Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation

2023 · arXiv (Cornell University)

This work addresses the challenging domain adaptation setting in which knowledge from the labelled source domain dataset is available only from the pretrained black-box segmentation model. The pretrained model's predictions for the target domain images …

A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits

2025 · arXiv (Cornell University)

The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owing to the exponential growth of classical resource requirements for simulating …