papers

Publications (341)

cs.CL2023

ConPET: Continual Parameter-Efficient Tuning for Large Language Models

Chenyang Song, Xu Han, Zheni Zeng +5

Continual learning necessitates the continual adaptation of models to newly emerging tasks while minimizing the catastrophic forgetting of old ones. This is extremely challenging f…

cs.CV2018

Seed-Point Detection of Clumped Convex Objects by Short-Range Attractive Long-Range Repulsive Particle Clustering

James Kapaldo, Xu Han, Domingo Mery

Locating the center of convex objects is important in both image processing and unsupervised machine learning/data clustering fields. The automated analysis of biological images us…

physics.optics2022

Recirculating Light Phase Modulator

Haijin Huang, Xu Han, Armandas Balčytis +7

High efficiency and a compact footprint are desired properties for electro-optic modulators. In this paper, we propose, theoretically investigate and experimentally demonstrate a r…

cs.CL2019

Neural Snowball for Few-Shot Relation Learning

Tianyu Gao, Xu Han, Ruobing Xie +4

Knowledge graphs typically undergo open-ended growth of new relations. This cannot be well handled by relation extraction that focuses on pre-defined relations with sufficient trai…

cs.CV2026

Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models

Xu Han, Jiajing Hu, Li-Ping Liu

The paper introduces Self-Consistent Flow (SC-Flow), a method that jointly trains a single network to predict both local velocity and data endpoint in rectified-flow generative mod…

#generative modeling#rectified flow#velocity prediction#endpoint prediction
physics.flu-dyn2023

Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation

Han Gao, Xu Han, Xiantao Fan +4

Turbulent flows have historically presented formidable challenges to predictive computational modeling. Traditional numerical simulations often require vast computational resources…