Sökresultat - "Liu, Jiashuo"

Data Heterogeneity Modeling for Trustworthy Machine Learning

Liu, Jiashuo, Cui, Peng

DRO: A Python Library for Distributionally Robust Optimization in Machine Learning

Liu, Jiashuo, Wang, Tianyu, Lam, Henry, Namkoong, Hongseok, Blanchet, Jose

Comparative Performance Analysis of Rendering Optimization Methods in Unity Tuanjie Engine, Unity Global and Unreal Engine

Bao, Muyi, Tao, Zeren, Wang, Xiaohan, Liu, Jiashuo, Sun, Qilei

2024 IEEE Smart World Congress (SWC)

DDPM-Polycube: A Denoising Diffusion Probabilistic Model for Polycube-Based Hexahedral Mesh Generation and Volumetric Spline Construction

Yu, Yuxuan, Fang, Yuzhuo, Tong, Hua, Liu, Jiashuo, Zhang, Yongjie Jessica

Error Slice Discovery via Manifold Compactness

Yu, Han, Liu, Jiashuo, Zou, Hao, Xu, Renzhe, He, Yue, Zhang, Xingxuan, Cui, Peng

Towards Human-Guided, Data-Centric LLM Co-Pilots

Saveliev, Evgeny, Liu, Jiashuo, Seedat, Nabeel, Boyd, Anders, van der Schaar, Mihaela

Rethinking the Evaluation Protocol of Domain Generalization

Yu, Han, Zhang, Xingxuan, Xu, Renzhe, Liu, Jiashuo, He, Yue, Cui, Peng

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Distributionally Generative Augmentation for Fair Facial Attribute Classification

Zhang, Fengda, He, Qianpei, Kuang, Kun, Liu, Jiashuo, Chen, Long, Wu, Chao, Xiao, Jun, Zhang, Hanwang

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

LLM Embeddings Improve Test-time Adaptation to Tabular $Y|X$-Shifts

Zeng, Yibo, Liu, Jiashuo, Lam, Henry, Namkoong, Hongseok

PMMA@TiO2@SiO2 Composite Microsphere with Sufficiently High Light Transmittance and Haze for Promising Application in Optical Diffusion Film

He, Liangyong^aff1, Yang, Bin^{aff1, aff2}, Wang, Sen^aff1, Yang, Yuqing^aff3, Wang, Yingying^aff1, Hu, Haiyang^aff1, Zheng, Zhengzhi^aff1, Liu, Jiashuo^aff1, Qian, Jiasheng^aff1, Miao, Jibin^aff1, Zhang, Weiguo^aff2, Ke, Yuchao^aff2

Robust Bipartite Output Regulation with Time Delays: An Internal Model Principle Based Approach

Liu, Jiashuo, Tan, Haowen, Ma, Cuiqin^{Aff1, IDs1142402542402_cor1}

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph

Zheng, Weihuang, Liu, Jiashuo, Li, Jiaxing, Wu, Jiayun, Cui, Peng, Kong, Youyong

Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift

Wu, Jiayun, Liu, Jiashuo, Cui, Peng, Wu, Zhiwei Steven

Stability Evaluation via Distributional Perturbation Analysis

Blanchet, Jose, Cui, Peng, Li, Jiajin, Liu, Jiashuo

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness

Zou, Yingtian, Kawaguchi, Kenji, Liu, Yingnan, Liu, Jiashuo, Lee, Mong-Li, Hsu, Wynne

A Survey on Evaluation of Out-of-Distribution Generalization

Yu, Han, Liu, Jiashuo, Zhang, Xingxuan, Wu, Jiayun, Cui, Peng

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments

Wang, Zimu, Zou, Hao, Liu, Jiashuo, Wu, Jiayun, Tian, Pengfei, He, Yue, Cui, Peng

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications

Liu, Jiashuo, Wu, Jiayun, Wang, Tianyu, Zou, Hao, Li, Bo, Cui, Peng

Rethinking Distribution Shifts: Empirical Analysis and Inductive Modeling for Tabular Data

Liu, Jiashuo, Wang, Tianyu, Cui, Peng, Namkoong, Hongseok

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