Linfeng Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Image Compression

Gaussian Process

Similarity Computation

Top Venues

Int. J. Online Eng.

Publications

Mingwei Tang, Meng Liu, Hong Li, Junjie Yang, Chenglin Wei, Boyang Li, Dai Li, Rengan Xu, Yifan Xu, Zehua Zhang, Xiangyu Wang, Linfeng Liu, Yuelei Xie, Chengye Liu, Labib Fawaz, Li Li, Hongnan Wang, Bill Zhu, Sri Reddy
Async Learned User Embeddings for Ads Delivery Optimization. CoRR (2024)
Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. MICCAI (5) (2023)
Gabriel Appleby, Linfeng Liu, Li-Ping Liu
Kriging Convolutional Networks. CoRR (2023)
Mingshan Xie, Yijun Peng, Song Zhang, Jun Chen, Linfeng Liu, Hao Wang, Renjie Liao
Research On Tea Leaf Recognition Based On YOLOv5 Algorithm. ICCDA (2023)
Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. CoRR (2023)
Linfeng Liu, Hongqiu Wu, Hai Zhao
Chinese Spelling Correction as Rephrasing Language Model. CoRR (2023)
Jiagao Wu, Yu Wang, Zhangchi Shen, Linfeng Liu
Adaptive client and communication optimizations in Federated Learning. Inf. Syst. 116 (2023)
Linfeng Liu, Hao Ye, Wei Dong, Junfeng Cui
Comprehensive Model Construction and Simulation for Superconducting Electrodynamic Suspension Train. Complex Syst. Model. Simul. 3 (3) (2023)
Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. ISBI (2023)
Linfeng Liu, Tong Chen, Haojie Liu, Shiliang Pu, Li Wang, Qiu Shen
2C-Net: integrate image compression and classification via deep neural network. Multim. Syst. 29 (3) (2023)
Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. NeuroImage 277 (2023)
Siyu Liu, Linfeng Liu, Xuan Vinh, Stuart Crozier, Craig Engstrom, Fatima Nasrallah, Shekhar Chandra
Structure Guided Manifolds for Discovery of Disease Characteristics. CoRR (2022)
Hamza Djigal, Linfeng Liu, Jian Luo, Jia Xu
BUDA: Budget and Deadline Aware Scheduling Algorithm for Task Graphs in Heterogeneous Systems. IWQoS (2022)
Linfeng Liu, Zhipeng Zhang, Jiagao Wu, Jia Xu
Entropy optimization of degree distributions against security threats in UASNs. Comput. Networks 205 (2022)
Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima Nasrallah, Shekhar S. Chandra
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. CoRR (2022)
Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. Trans. Mach. Learn. Res. 2022 (2022)
Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. CoRR (2022)
Linfeng Liu, Michael Hughes, Liping Liu
Modeling Graph Node Correlations with Neighbor Mixture Models. CoRR (2021)
Linfeng Liu, Michael C. Hughes, Soha Hassoun, Liping Liu
Stochastic Iterative Graph Matching. ICML (2021)
Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
Universal Representation for Code. CoRR (2021)
Linfeng Liu, Michael C. Hughes, Soha Hassoun, Li-Ping Liu
Stochastic Iterative Graph Matching. CoRR (2021)
Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
Universal Representation for Code. PAKDD (3) (2021)
Gabriel Appleby, Linfeng Liu, Liping Liu
Kriging Convolutional Networks. AAAI (2020)
Anbang Chen, Linfeng Liu
An Online Trajectory Compression Based on Retrace Point Detection. ICCT (2020)
Linfeng Liu, Liping Liu
Localizing and Amortizing: Efficient Inference for Gaussian Processes. ACML (2020)
Linfeng Liu, Liping Liu
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes. AISTATS (2019)
Linfeng Liu, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma
Codedretrieval: Joint Image Compression and Retrieval with Neural Networks. VCIP (2019)
Qiu Shen, JuanJuan Cai, Linfeng Liu, Haojie Liu, Tong Chen, Long Ye, Zhan Ma
CodedVision: Towards Joint Image Understanding and Compression via End-to-End Learning. PCM (1) (2018)
Linfeng Liu, Liping Liu
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes. CoRR (2018)
Yaqing Tu, Linfeng Liu, Ming Li, Peng Chen, Yuwen Mao
A Review of Human Motion Monitoring Methods using Wearable Sensors. Int. J. Online Eng. 14 (10) (2018)
Linfeng Liu, Xiaole Yan, Qiu Shen
Adaptive Multi-feature Fusion for Correlation Filter Tracking. CSPS (2017)
Linfeng Liu, Soha Hassoun
A Tool for Predicting the Dark Side of Enzymes. BCB (2017)
Hai Wang, Ping He, Ming Yu, Linfeng Liu, Manh Tuan Do, Huifang Kong, Zhihong Man
Adaptive neural network sliding mode control for steer-by-wire-based vehicle stability control. J. Intell. Fuzzy Syst. 31 (2) (2016)
You Wang, Jiacheng Miao, Xiaofeng Lyu, Linfeng Liu, Zhiyuan Luo, Guang Li
Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose. Sensors 16 (7) (2016)
Linfeng Liu, Ping Guo, Juan Zhao, Ning Li
无线传感器网络中一种基于改进的LEACH协议的数据收集方案 (Data Collection Strategy Based on Improved LEACH Protocol). 计算机科学 42 (Z6) (2015)