Jiashuo Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning.

[BibT_eX]

[DOI]

CoRR, September, 2025

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

Jiashuo Liu

Haowen Tan

Cuiqin Ma

J. Syst. Sci. Complex., August, 2025

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction.

[BibT_eX]

[DOI]

CoRR, August, 2025

Data Heterogeneity Modeling for Trustworthy Machine Learning.

[BibT_eX]

[DOI]

Jiashuo Liu

Peng Cui

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

Yongjie Jessica Zhang

CoRR, March, 2025

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

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Error Slice Discovery via Manifold Compactness.

[BibT_eX]

[DOI]

CoRR, January, 2025

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

[BibT_eX]

[DOI]

Mihaela van der Schaar

CoRR, January, 2025

Distributed Proportional-Integral Algorithms for Multiple Coalition Games Under Limited Communication Resources.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2025

Exploring and Exploiting Data Heterogeneity in Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2025

Going Beyond Static: Understanding Shifts with Time-Series Attribution.

[BibT_eX]

[DOI]

Jiashuo Liu

Nabeel Seedat

Peng Cui

Mihaela van der Schaar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Speculating and Disentangling the Relationship Between Technology and Care Work.

[BibT_eX]

[DOI]

Proceedings of the Companion Publication of the 2025 ACM Designing Interactive Systems Conference, 2025

2024

Robust Bipartite Output Regulation of Linear Uncertain Multi-Agent Systems Under Observer-Based Protocols.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph.

[BibT_eX]

[DOI]

CoRR, 2024

Stability Evaluation via Distributional Perturbation Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Evaluation of Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stability Evaluation through Distributional Perturbation Analysis.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Domain-wise Data Acquisition to Improve Performance under Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Distributionally Generative Augmentation for Fair Facial Attribute Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Rethinking the Evaluation Protocol of Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Collective Imaginaries for the Futures of Care Work.

[BibT_eX]

[DOI]

Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

Enhancing Distributional Stability among Sub-populations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A deep learning aided differential distinguisher improvement framework with more lightweight and universality.

[BibT_eX]

[DOI]

Jiashuo Liu

Jiongjiong Ren

Shaozhen Chen

Cybersecur., December, 2023

Distributionally Robust Learning With Stable Adversarial Training.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Improved neural distinguishers with multi-round and multi-splicing construction.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., May, 2023

VIS Atlas: A Database of Virus Integration Sites in Human Genome from NGS Data to Explore Integration Patterns.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., April, 2023

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.

[BibT_eX]

[DOI]

CoRR, 2023

Meta Adaptive Task Sampling for Few-Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Predictive Heterogeneity: Measures and Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Measure the Predictive Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Triple Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Effective Network Parameter Reduction Schemes for Neural Distinguisher.

[BibT_eX]

[DOI]

Jiashuo Liu

Jiongjiong Ren

Shaozhen Chen

IACR Cryptol. ePrint Arch., 2022

Distributionally Invariant Learning: Rationalization and Practical Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Domain Generalization in Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Distributionally Robust Optimization with Data Geometry.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Invariant Preference Learning for General Debiasing in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Towards Out-Of-Distribution Generalization: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Kernelized Heterogeneous Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Signed Graph Neural Network with Latent Groups.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Heterogeneous Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Stable Adversarial Learning under Distributional Shifts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Invariant Adversarial Learning for Distributional Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

Stable Learning via Differentiated Variable Decorrelation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2016

Novel 3D-WPP algorithms for parallel HEVC encoding.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Intra Frame Flicker Reduction for Parallelized HEVC Encoding.

[BibT_eX]

[DOI]

Proceedings of the 2016 Data Compression Conference, 2016

Jiashuo Liu

Bibliography

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