Liu, Jiashuo

21 publications

ICLR 2025 Going Beyond Static: Understanding Shifts with Time-Series Attribution Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar
ICLRW 2025 Position: What's the Next Frontier for Data-Centric AI? Data Savvy Agents! Nabeel Seedat, Jiashuo Liu, Mihaela van der Schaar
ICML 2025 Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
ICLRW 2025 Towards Human-Guided, Data-Centric LLM Co-Pilots Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
NeurIPS 2024 Bridging Multicalibration and Out-of-Distribution Generalization Beyond Covariate Shift Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
CVPR 2024 Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
ICML 2024 Domain-Wise Data Acquisition to Improve Performance Under Distribution Shift Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui
AISTATS 2024 Enhancing Distributional Stability Among Sub-Populations Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
ICML 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
NeurIPSW 2024 LLM Embeddings Improve Test-Time Adaptation to Tabular $Y|X$-Shifts Yibo Zeng, Jiashuo Liu, Henry Lam, Hongseok Namkoong
CVPR 2024 Rethinking the Evaluation Protocol of Domain Generalization Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
ICML 2024 Stability Evaluation Through Distributional Perturbation Analysis Jose Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
NeurIPSW 2024 Stability Evaluation of Large Language Models via Distributional Perturbation Analysis Jiashuo Liu, Jiajin Li, Peng Cui, Jose Blanchet
ICLR 2024 Towards Robust Out-of-Distribution Generalization Bounds via Sharpness Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
NeurIPSW 2023 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Peng Cui
ICLR 2023 Measure the Predictive Heterogeneity Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
NeurIPS 2023 On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
NeurIPS 2022 Distributionally Robust Optimization with Data Geometry Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
ICML 2021 Heterogeneous Risk Minimization Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
NeurIPS 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
AAAI 2021 Stable Adversarial Learning Under Distributional Shifts Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin