Liu, Jiashuo

24 publications

ICLR 2026 DiscoX: Benchmarking Discourse-Level Translation in Expert Domains Xiying Zhao, Zhoufutu Wen, Zhixuan Chen, Jingzhe Ding, Jianpeng Jiao, Shuai Li, Xi Li, Danni Liang, Shengda Long, Qianqian Liu, Xianbo Wu, Hongwan Gao, Xiang Gao, Liang Hu, Jiashuo Liu, Liumengyun, Weiran Shi, Chenghao Yang, Qianyu Yang, Xuanliang Zhang, Ge Zhang, Wenhao Huang

ICLR 2026 FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning Liang Hu, Jianpeng Jiao, Jiashuo Liu, Dongyuan Mutu, Yanle Ren, Zhoufutu Wen, Kaiyuan Zhang, Xuanliang Zhang, Xiang Gao, Tianci He, Fei Hu, Yali Liao, Zaiyuan Wang, Jingkai Liu, Sun Daibin, Ziqing Zeng, Zhiyuan Zeng, Chenghao Yang, Qianyu Yang, Mingren Yin, Ge Zhang, Xinyi Zhang, Xiying Zhao, Zhu Zhenwei, Hongseok Namkoong, Wenhao Huang

ICLR 2026 FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Yixiao Tian, Wangjinpeng.Levi, Zaiyuan Wang, YangYang, Lingyue Yin, Mingren Yin, Zhu Zhenwei, Tianle Cai, Xinjie Chen, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Nishuang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, 周欣, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang

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