Zirui Liu

Orcid: 0009-0004-4335-1115

Affiliations:

University of Minnesota, Minneapolis, MN, USA
Rice University, Houston, TX, USA (PhD 2024)
Texas A&M University, College Station, TX, USA (2019 - 2021)
Harbin Institute of Technology, School of Electrical Engineering and Automation, China (former)

According to our database¹, Zirui Liu authored at least 48 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

PME: pruning-based multi-size embedding for recommender systems.

[BibT_eX]

[DOI]

Frontiers Big Data, 2024

Assessing and Enhancing Large Language Models in Rare Disease Question-answering.

[BibT_eX]

[DOI]

CoRR, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

[BibT_eX]

[DOI]

CoRR, 2024

Quantifying Multilingual Performance of Large Language Models Across Languages.

[BibT_eX]

[DOI]

CoRR, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.

[BibT_eX]

[DOI]

CoRR, 2024

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.

[BibT_eX]

[DOI]

Zirui Liu

Qingquan Song

Qiang Charles Xiao

Sathiya Keerthi Selvaraj

Rahul Mazumder

Aman Gupta

Xia Hu

CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Compress Prompt in Natural Language Formats.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

GNNs Also Deserve Editing, and They Need It More Than Once.

[BibT_eX]

[DOI]

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

Soft Prompt Recovers Compressed LLMs, Transferably.

[BibT_eX]

[DOI]

Anshumali Shrivastava

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

TVE: Learning Meta-attribution for Transferable Vision Explainer.

[BibT_eX]

[DOI]

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

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

[BibT_eX]

[DOI]

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

Knowledge Graphs Can be Learned with Just Intersection Features.

[BibT_eX]

[DOI]

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

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

[BibT_eX]

[DOI]

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

Chasing Fairness in Graphs: A GNN Architecture Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient GNN Explanation via Learning Removal-based Attribution.

[BibT_eX]

[DOI]

CoRR, 2023

Editable Graph Neural Network for Node Classifications.

[BibT_eX]

[DOI]

CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.

[BibT_eX]

[DOI]

Anshumali Shrivastava

CoRR, 2023

Efficient XAI Techniques: A Taxonomic Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning.

[BibT_eX]

[DOI]

Shaochen (Henry) Zhong

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

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.

[BibT_eX]

[DOI]

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

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

Zirui Liu

Guanchu Wang

Shaochen (Henry) Zhong

Zhaozhuo Xu

Daochen Zha

Ruixiang (Ryan) Tang

Zhimeng Stephen Jiang

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

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

DIVISION: Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.

[BibT_eX]

[DOI]

CoRR, 2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.

[BibT_eX]

[DOI]

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

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

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

Table2Graph: Transforming Tabular Data to Unified Weighted Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

The application of machine learning algorithms in predicting the length of stay following femoral neck fracture.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 2021

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Motor Speed Signature Analysis for Local Bearing Fault Detection With Noise Cancellation Based on Improved Drive Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

CoRR, 2020

AutoRec: An Automated Recommender System.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Detecting Interactions from Neural Networks via Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

A novel algorithm for on-line inertia identification via adaptive recursive least squares.

[BibT_eX]

[DOI]

Zirui Liu

Ming Yang

Dianguo Xu

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Zirui Liu

Timeline

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