Xiaoxuan Liu

According to our database, Xiaoxuan Liu authored at least 43 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images.

Enze Zhu, Zhan Chen, Dingkai Wang, Hanru Shi, Xiaoxuan Liu, Lei Wang

IEEE Geosci. Remote. Sens. Lett., 2025

Domain adversarial wavelet convolutional neural network used for ALS and CSM identification with NEMG signal.

Xujian Wang, Shuo Zhang, Shenghua Teng, Jiashu Guo, Xiaoxuan Liu, Ji He, Dongsheng Fan, Yan Liu

Biomed. Signal Process. Control., 2025

2024

Effect of Anisotropic Brain Conductivity on Patient-Specific Volume of Tissue Activation in Deep Brain Stimulation for Parkinson Disease.

Xiaoxuan Liu, Kelvin L. Chou, Parag G. Patil, Karlo A. Malaga

IEEE Trans. Biomed. Eng., June, 2024

Negative-Core Sample Knowledge Distillation for Oriented Object Detection in Remote Sensing Image.

Wenhui Zhang, Yidan Zhang, Feilong Huang, Xiyu Qi, Lei Wang, Xiaoxuan Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Dual Data- and Knowledge-Driven Land Cover Mapping Framework for Monitoring Annual and Near-Real-Time Changes.

Zhenrong Du, Le Yu, Damien Arvor, Xiyu Li, Xin Cao, Liheng Zhong, Qiang Zhao, Xiaorui Ma, Hongyu Wang, Xiaoxuan Liu, Mingjuan Zhang, Bing Xu, Peng Gong

IEEE Trans. Geosci. Remote. Sens., 2024

A 180 fps WVGA CIS with 3.2e- TRN and dual-readout modes.

Xiaoxuan Liu, Tianjiao Cao, Haisong Li, Xin Yuan, Wancheng Xu, Ting Li

Microelectron. J., 2024

Photogrammetry for Unconstrained Optical Satellite Imagery With Combined Neural Radiance Fields.

Xiaohe Li, Zide Fan, Xiaoxuan Liu, Yidan Zhang, Yunping Ge, Lijie Wen

IEEE Geosci. Remote. Sens. Lett., 2024

MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs.

Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica

CoRR, 2024

Optimizing Speculative Decoding for Serving Large Language Models Using Goodput.

Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang

CoRR, 2024

Towards Clinical AI Fairness: Filling Gaps in the Puzzle.

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu

CoRR, 2024

M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity.

Tyler Griggs, Xiaoxuan Liu, Jiaxiang Yu, Doyoung Kim, Wei-Lin Chiang, Alvin Cheung, Ion Stoica

CoRR, 2024

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native.

Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo

CoRR, 2024

Learned Best-Effort LLM Serving.

Siddharth Jha, Coleman Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer

CoRR, 2024

Artificial intelligence image-based prediction models in IBD exhibit high risk of bias: A systematic review.

Xiaoxuan Liu, James Reigle, V. B. Surya Prasath, Jasbir Dhaliwal

Comput. Biol. Medicine, 2024

Online Speculative Decoding.

Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang

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

A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data.

Jiashu Guo, Deyuan Chen, Xiangzhu Zeng, Xiaoxuan Liu, Xujian Wang, Shenghua Teng, Kai Ye, Xingwen Sun, Shuo Zhang, Ji He, Dongsheng Fan, Yan Liu

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

A hybrid stock market prediction model based on GNG and reinforcement learning.

Yongming Wu, Zijun Fu, Xiaoxuan Liu, Yuan Bing

Expert Syst. Appl., October, 2023

The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols.

Paula Dhiman, Rebecca Whittle, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Melissa D. McCradden, Karel G. M. Moons, Richard D. Riley, Gary S. Collins

Nat. Mac. Intell., August, 2023

A tensor-based deep LSTM forecasting model capturing the intrinsic connection in multivariate time series.

Zijun Fu, Yongming Wu, Xiaoxuan Liu

Appl. Intell., June, 2023

Editorial: Surfacing best practices for AI software development and integration in healthcare.

Mark P. Sendak, David E. Vidal, Sylvia Trujillo, Karandeep Singh, Xiaoxuan Liu, Suresh Balu

Frontiers Digit. Health, March, 2023

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications.

Xiaoxuan Liu, Shuxian Wang, Mengzhu Sun, Sicheng Pan, Ge Li, Siddharth Jha, Cong Yan, Junwen Yang, Shan Lu, Alvin Cheung

Proc. VLDB Endow., 2023

Towards Auto-Generated Data Systems.

Alvin Cheung, Maaz Bin Safeer Ahmad, Brandon Haynes, Chanwut Kittivorawong, Shadaj Laddad, Xiaoxuan Liu, Chenglong Wang, Cong Yan

Proc. VLDB Endow., 2023

QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources.

Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer

CoRR, 2023

What is the State of Memory Saving for Model Training?

Xiaoxuan Liu, Siddharth Jha, Chuyan Zhu, Zhuohan Li, Alvin Cheung

CoRR, 2023

What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB.

Melissa D. McCradden, Oluwadara Odusi, Shalmali Joshi, Ismail Akrout, Kagiso Ndlovu, Ben Glocker, Gabriel Maicas, Xiaoxuan Liu, Mjaye Mazwi, Tee Garnett, Lauren Oakden-Rayner, Myrtede Alfred, Irvine Sihlahla, Oswa Shafei, Anna Goldenberg

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare.

Viknesh Sounderajah, Melissa D. McCradden, Xiaoxuan Liu, Sherri Rose, Hutan Ashrafian, Gary S. Collins, James A. Anderson, Patrick M. Bossuyt, David Moher, Ara Darzi

Nat. Mach. Intell., 2022

GACT: Activation Compressed Training for General Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

CoRR, 2022

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications.

Xiaoxuan Liu, Shuxian Wang, Mengzhu Sun, Sharon Lee, Sicheng Pan, Joshua Wu, Cong Yan, Junwen Yang, Shan Lu, Alvin Cheung

CoRR, 2022

Long-run User Value Optimization in Recommender Systems through Content Creation Modeling.

Akos Lada, Xiaoxuan Liu, Jens Rischbieth, Yi Wang, Yuwen Zhang

CoRR, 2022

A Comparative Study on the Perceived Attractiveness of Oriental and South Asian Faces.

Muhammad Farhan Mughal, Xiaoxuan Liu, Ming Ronnier Luo, Michael R. Pointer

IEEE Access, 2022

GACT: Activation Compressed Training for Generic Network Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

Proceedings of the International Conference on Machine Learning, 2022

2021

Code-free deep learning for multi-modality medical image classification.

Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane

Nat. Mach. Intell., 2021

Machine Learning for Health: Algorithm Auditing & Quality Control.

Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat D. Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand

J. Medical Syst., 2021

The Combination of Pairwise and Group Interactions Promotes Consensus in Opinion Dynamics.

Xiaoxuan Liu, Changwei Huang, Haihong Li, Qionglin Dai, Junzhong Yang

Complex., 2021

Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation.

Samantha C. Pendleton, Luke T. Slater, Andreas Karwath, Rose M. Gilbert, Nicola Davis, Konrad Pesudovs, Xiaoxuan Liu, Alastair K. Denniston, Georgios V. Gkoutos, Tasanee Braithwaite

Comput. Biol. Medicine, 2021

2020

Order-Preserving Key Compression for In-Memory Search Trees.

Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo

Proceedings of the 2020 International Conference on Management of Data, 2020

Preferred skin reproduction centres for different skin groups.

Rui Peng, Ming Ronnier Luo, Mingkai Cao, Yuechen Zhu, Xiaoxuan Liu, Guoxiang Liu

Proceedings of the 28th Color and Imaging Conference, 2020

2019

Long-Term Land Cover Dynamics (1986-2016) of Northeast China Derived from a Multi-Temporal Landsat Archive.

Yuanyuan Zhao, Duole Feng, Le Yu, Yuqi Cheng, Meinan Zhang, Xiaoxuan Liu, Yidi Xu, Lei Fang, Zhiliang Zhu, Peng Gong

Remote. Sens., 2019

Improved Collaborative Filtering Algorithm Based on Multi-dimensional Fusion Similarity.

Xiaoxuan Liu

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

A Study on the Belt and Road Investment-friendly Indexes.

Xiaoxuan Liu, Wensheng Dai

Proceedings of the 2nd International Conference on Computers in Management and Business, 2019

2018

An Extension of CAM16 for Predicting Size Effect and New Colour Appearance Perceptions.

Changjun Li, Xiaoxuan Liu, Kaida Xiao, Yoon Ji Cho, Ming Ronnier Luo

Proceedings of the 26th Color and Imaging Conference, 2018

Trees of Knowledge: Designing with Artificial Intelligence in the Urban Landscape.

Xiaoxuan Liu, Godiva Veliganilao Reisenbichler

Proceedings of the 2018 AAAI Spring Symposia, 2018

2015

A sensory feedback system for prosthetic hand based on evoked tactile sensation.

Xiaoxuan Liu, Guohong Chai, Hongen Qu, Ning Lan

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015