Jiashuo Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
10
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Error Slice Discovery via Manifold Compactness. | Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui |
| 2025 | ICLR | Going Beyond Static: Understanding Shifts with Time-Series Attribution. | Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar |
| 2025 | ICML | Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. | Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong |
| 2025 | KDD | Data Heterogeneity Modeling for Trustworthy Machine Learning. | Jiashuo Liu, Peng Cui |
| 2024 | AISTATS | Enhancing Distributional Stability among Sub-populations. | Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui |
| 2024 | CSCW | Collective Imaginaries for the Futures of Care Work. | Yiying Wu, Jung-Joo Lee, Ajit G. Pillai, Janghee Cho, Naseem Ahmadpour, Virpi Roto, Thida Sachathep, Jiashuo Liu, Mouna Sawan, Dongjin Song, Martina Caic, Lucas Cheng, Renxuan Liu, Sarah Kettley, Luis Soares, Kazjon Grace, Thomas Astell-Burt |
| 2024 | CVPR | Rethinking the Evaluation Protocol of Domain Generalization. | Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui |
| 2024 | CVPR | Distributionally Generative Augmentation for Fair Facial Attribute Classification. | Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang |
| 2024 | ICLR | Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. | Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu |
| 2024 | ICML | Domain-wise Data Acquisition to Improve Performance under Distribution Shift. | Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui |
| 2024 | ICML | Stability Evaluation through Distributional Perturbation Analysis. | Jos H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu |
| 2024 | ICML | Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. | Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui |
| 2024 | KDD | Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. | Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu |
| 2023 | ICLR | Measure the Predictive Heterogeneity. | Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui |
| 2023 | WWW | Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. | Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui |
| 2022 | KDD | Invariant Preference Learning for General Debiasing in Recommendation. | Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui |
| 2021 | AAAI | Stable Adversarial Learning under Distributional Shifts. | Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin |
| 2021 | ICML | Heterogeneous Risk Minimization. | Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen |
| 2021 | KDD | Signed Graph Neural Network with Latent Groups. | Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu |
| 2020 | KDD | Stable Learning via Differentiated Variable Decorrelation. | Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen |
| 2016 | DCC | Intra Frame Flicker Reduction for Parallelized HEVC Encoding. | Ziyu Wen, Jisheng Li, Jiashuo Liu, Yikai Zhao, Jiangtao Wen |
| 2016 | ICASSP | Novel 3D-WPP algorithms for parallel HEVC encoding. | Ziyu Wen, Bichuan Quo, Jiashuo Liu, Jisheng Li, Yao Lu, Jiangtao Wen |