We stand with Ukraine

We stand with Ukraine

Kuan Liu

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

Bibliography

2025

A Reactive Framework for Whole-Body Motion Planning of Mobile Manipulators Combining Reinforcement Learning and SDF-Constrained Quadratic Programmi.

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CoRR, March, 2025

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers.

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CoRR, January, 2025

TLARDA: Threshold Label-Aggregating Remote Data Auditing in Decentralized Environment.

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IEEE Trans. Inf. Forensics Secur., 2025

Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models.

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Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling.

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Thomas Moscibroda

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Sudarsun Kannan

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Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

2024

Distributed Vibration Sensing Based on a Forward Transmission Polarization-Generated Carrier.

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Sensors, August, 2024

Improved Lightweight Head Detection Based on GhostNet-SSD.

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Neural Process. Lett., April, 2024

Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.

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ACM Trans. Inf. Syst., March, 2024

JPMDP: Joint base placement and multi-configuration path planning for 3D surface disinfection with a UV-C robotic system.

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Robotics Auton. Syst., 2024

Axis Order Invariance Learned from Point Clouds.

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Proceedings of the IEEE International Conference on Acoustics, 2024

Rethinking Normals: Direction Guided Point Cloud Recognition.

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Proceedings of the IEEE International Conference on Acoustics, 2024

Text Information Mining in Cyberspace: An Information Extraction Method Based on T5 and KeyBERT.

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Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

2022

Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.

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Proceedings of the Database Systems for Advanced Applications, 2022

2021

Review of Optical Humidity Sensors.

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Sensors, 2021

The Improved A* Obstacle Avoidance Algorithm for the Plant Protection UAV with Millimeter Wave Radar and Monocular Camera Data Fusion.

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Remote. Sens., 2021

Network Inference from Gene Expression Data with Distance Correlation and Network Topology Centrality.

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Algorithms, 2021

Research on optimization of crop planting area estimation from remote sensing data.

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Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2019

Kernel Approximation Methods for Speech Recognition.

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Alireza Bagheri Garakani

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Aurélien Bellet

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Michael Collins

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Brian Kingsbury

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Michael Picheny

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J. Mach. Learn. Res., 2019

Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds.

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Aurélien Bellet

Neurocomputing, 2019

Linear Power Flow Calculation of Distribution Networks With Distributed Generation.

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IEEE Access, 2019

2018

Learn to Combine Modalities in Multimodal Deep Learning.

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CoRR, 2018

A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes.

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CoRR, 2018

A Modified Single-Phase Transformerless Y-Source PV Grid-Connected Inverter.

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IEEE Access, 2018

An Improved Y-Source Inverter with Continuous Input Current.

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Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

A Batch Learning Framework for Scalable Personalized Ranking.

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Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

WMRB: Learning to Rank in a Scalable Batch Training Approach.

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Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Sequential Heterogeneous Attribute Embedding for Item Recommendation.

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Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Temporal learning and sequence modeling for a job recommender system.

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Proceedings of the 2016 Recommender Systems Challenge, 2016

A comparison between deep neural nets and kernel acoustic models for speech recognition.

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Alireza Bagheri Garakani

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Aurélien Bellet

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Michael Collins

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Brian Kingsbury

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Michael Picheny

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Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Effects of Carbon Emission Taxes on Transportation Mode Selections and Social Welfare.

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IEEE Trans. Syst. Man Cybern. Syst., 2015

A novel temporal-spatial variable scale algorithm for detecting multiple moving objects.

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IEEE Trans. Aerosp. Electron. Syst., 2015

Similarity Learning for High-Dimensional Sparse Data.

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Aurélien Bellet

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Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.

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Alireza Bagheri Garakani

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Aurélien Bellet

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Michael Collins

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Brian Kingsbury

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Michael Picheny

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CoRR, 2014

2013

Similarity Component Analysis.

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[DOI]

Soravit Changpinyo

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Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

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