Zirui Liu

Orcid: 0000-0001-9062-6565

According to our database1, Zirui Liu authored at least 64 papers between 2014 and 2024.

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Bibliography

2024
Online Multi-Parameter Observation of IPM Machine With Reconstructed Nonlinear Small-Signal Model Based on Dual EKF.
IEEE Trans. Ind. Electron., February, 2024

Gaidai reliability method for high-dimensional spatio-temporal biosystems.
Biosyst., January, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.
CoRR, 2024

Learning to Compress Prompt in Natural Language Formats.
CoRR, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
CoRR, 2024

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.
CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR, 2024

Chasing Fairness in Graphs: A GNN Architecture Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Experimental Analysis of Large-scale Learnable Vector Storage Compression.
Proc. VLDB Endow., December, 2023

An evaluation method for wake effect of wind farm group based on CFD-WRF coupled wind resource map.
J. Intell. Fuzzy Syst., December, 2023

SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement.
IEEE Trans. Parallel Distributed Syst., November, 2023

On safe offshore energy exploration in the Gulf of Eilat.
Qual. Reliab. Eng. Int., November, 2023

Improved LPTN-Based Online Temperature Prediction of Permanent Magnet Machines by Global Parameter Identification.
IEEE Trans. Ind. Electron., September, 2023

Impacts of Aerosol Chemical Composition on Cloud Condensation Nuclei (CCN) Activity during Wintertime in Beijing, China.
Remote. Sens., September, 2023

TreeSensing: Linearly Compressing Sketches with Flexibility.
Proc. ACM Manag. Data, 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR, 2023

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models.
CoRR, 2023

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
CoRR, 2023

Efficient GNN Explanation via Learning Removal-based Attribution.
CoRR, 2023

Editable Graph Neural Network for Node Classifications.
CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
CoRR, 2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.
CoRR, 2023

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
CoRR, 2023

Efficient XAI Techniques: A Taxonomic Survey.
CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR, 2023

P4LRU: Towards An LRU Cache Entirely in Programmable Data Plane.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

ChameleMon: Shifting Measurement Attention as Network State Changes.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
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.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DIVISION: Memory Efficient Training via Dual Activation Precision.
Proceedings of the International Conference on Machine Learning, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.
Proceedings of the International Conference on Machine Learning, 2023

HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022
Corrigendum to "Coarticulation as synchronised CV co-onset - Parallel evidence from articulation and acoustics" [J. Phonet. 90 (2022) 101116].
J. Phonetics, 2022

Coarticulation as synchronised CV co-onset - Parallel evidence from articulation and acoustics.
J. Phonetics, 2022

A comprehensive computer simulation of the size-dependent sector or complete microsystem via two-dimensional generalized differential quadrature method.
Eng. Comput., 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.
CoRR, 2022

Towards Memory Efficient Training via Dual Activation Precision.
CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.
CoRR, 2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic.
Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
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.
Int. J. Medical Informatics, 2021

Mitigating Gender Bias in Captioning Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

MapEmbed: Perfect Hashing with High Load Factor and Fast Update.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Segmental Alignment of English Syllables with Singleton and Cluster Onsets.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

SketchINT: Empowering INT with TowerSketch for Per-flow Per-switch Measurement.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.
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.
IEEE Trans. Ind. Electron., 2020

Human body surface electric-field intensity analysis and safety design on live working platform during live maintenance in 330 kV substation.
J. Comput. Methods Sci. Eng., 2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.
CoRR, 2020

Mitigating Gender Bias in Captioning Systems.
CoRR, 2020

AutoRec: An Automated Recommender System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Detecting Interactions from Neural Networks via Topological Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coarticulation as Synchronised Sequential Target Approximation: An EMA Study.
Proceedings of the Interspeech 2020, 2020

2017
A novel algorithm for on-line inertia identification via adaptive recursive least squares.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2014
Evaluating Parameter Adjustment in the MODIS Gross Primary Production Algorithm Based on Eddy Covariance Tower Measurements.
Remote. Sens., 2014

Research and development on data quality assessment management system.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014


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