Jiashuo Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Risk Minimization

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. CoRR (2024)
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR (2024)
Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR (2024)
Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
Stability Evaluation via Distributional Perturbation Analysis. CoRR (2024)
Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui
A Survey on Evaluation of Out-of-Distribution Generalization. CoRR (2024)
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR (2024)
Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
Enhancing Distributional Stability among Sub-populations. AISTATS (2024)
Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD (2024)
Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. CoRR (2024)
Jiashuo Liu, Cui-Qin Ma, Yun-Bo Zhao, Yu Kang
Robust Bipartite Output Regulation of Linear Uncertain Multi-Agent Systems Under Observer-Based Protocols. IEEE Trans. Circuits Syst. II Express Briefs 71 (1) (2024)
Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR (2023)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. CoRR (2023)
Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR (2023)
Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui
Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR (2023)
Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
Rethinking the Evaluation Protocol of Domain Generalization. CoRR (2023)
Ye Chen, Yuyan Wang, Ping Zhou, Hao Huang, Rui Li, Zhen Zeng, Zifeng Cui, Rui Tian, Zhuang Jin, Jiashuo Liu, Zhaoyue Huang, Lifang Li, Zheying Huang, Xun Tian, Meiying Yu, Zheng Hu
VIS Atlas: A Database of Virus Integration Sites in Human Genome from NGS Data to Explore Integration Patterns. Genom. Proteom. Bioinform. 21 (2) (2023)
Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen, ManMan Li
Improved neural distinguishers with multi-round and multi-splicing construction. J. Inf. Secur. Appl. 74 (2023)
Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui
Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. WWW (2023)
Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
Measure the Predictive Heterogeneity. ICLR (2023)
Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen
A deep learning aided differential distinguisher improvement framework with more lightweight and universality. Cybersecur. 6 (1) (2023)
Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. NeurIPS (2023)
Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR (2023)
Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
Predictive Heterogeneity: Measures and Applications. CoRR (2023)
Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR (2022)
Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen, ManMan Li
Improved Neural Distinguishers with Multi-Round and Multi-Splicing Construction. IACR Cryptol. ePrint Arch. 2022 (2022)
Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen
Effective Network Parameter Reduction Schemes for Neural Distinguisher. IACR Cryptol. ePrint Arch. 2022 (2022)
Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
Towards Domain Generalization in Object Detection. CoRR (2022)
Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
Invariant Preference Learning for General Debiasing in Recommendation. KDD (2022)
Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
Distributionally Robust Optimization with Data Geometry. NeurIPS (2022)
Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang
Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning with Stable Adversarial Training. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. ICML (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. NeurIPS (2021)
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
Towards Out-Of-Distribution Generalization: A Survey. CoRR (2021)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Stable Adversarial Learning under Distributional Shifts. AAAI (2021)
Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu
Signed Graph Neural Network with Latent Groups. KDD (2021)
Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
Stable Learning via Differentiated Variable Decorrelation. KDD (2020)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Invariant Adversarial Learning for Distributional Robustness. CoRR (2020)
Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
Triple Generative Adversarial Networks. CoRR (2019)
Ziyu Wen, Bichuan Quo, Jiashuo Liu, Jisheng Li, Yao Lu, Jiangtao Wen
Novel 3D-WPP algorithms for parallel HEVC encoding. ICASSP (2016)
Ziyu Wen, Jisheng Li, Jiashuo Liu, Yikai Zhao, Jiangtao Wen
Intra Frame Flicker Reduction for Parallelized HEVC Encoding. DCC (2016)