Qi Fan

A Unified Framework for Multimodal Domain Adaptation

2018

Domain adaptation aims to train a model on labeled data from a source domain while minimizing test error on a target domain. Most of existing domain adaptation methods only focus on reducing domain shift of …

TimeBill: Time-Budgeted Inference for Large Language Models

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Large Language Models (LLMs) are increasingly deployed in time-critical systems, such as robotics, autonomous driving, embodied intelligence, and industrial automation, where generating accurate responses within a given time budget is crucial for decision-making, control, or …