Linfeng Liu

30 papers C 2Journal 19Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
A Computational Approach to Visual Metonymy.
EACL (Volume 1: Long Papers)
Saptarshi Ghosh, Linfeng Liu, Tianyu Jiang
2026 J jnl
A Computational Approach to Visual Metonymy.
CoRR
Saptarshi Ghosh, Linfeng Liu, Tianyu Jiang
2026 J jnl
A bi-level planning framework for solving multi-task schedule path planning problem in mountain orchard.
Comput. Electron. Agric.
Tao Zhou, Xuan Zhang, Jishu Wang, Linfeng Liu, Jianping Yang, Linyu Li, Tong Li
2025 J jnl
Evaluating the Impact of Verbal Multiword Expressions on Machine Translation.
CoRR
Linfeng Liu, Saptarshi Ghosh, Tianyu Jiang
2025 — conf
HICOD: Hyperspectral Image-Aided Camouflaged Object Detection Method.
PRCV (8)
Yu Tang, Zhipeng Cao, Yinan Chen, Linfeng Liu
2025 J jnl
JE-IRT: A Geometric Lens on LLM Abilities through Joint Embedding Item Response Theory.
CoRR
Louie Hong Yao, Nicholas Jarvis, Tiffany Zhan, Saptarshi Ghosh, Linfeng Liu, Tianyu Jiang
2025 — conf
More Resistant and Less Waiting: Parallel Federated Split Learning for Object Detection Missions of UAV Cluster.
ICA3PP (2)
Yanxi Yang, Yinan Chen, Xingyu Li, Linfeng Liu
2025 J jnl
Multiscale Discriminative Feature Adaptive Learning Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Linfeng Liu, Shuanggen Jin, Abhishek Banerjee, Chengcai Zhang
2025 J jnl
Preference Discerning with LLM-Enhanced Generative Retrieval.
Trans. Mach. Learn. Res.
Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky T. Q. Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh
2025 C conf
Towards Edge Deployment: An Ultra Lightweight Encoder for Learned Image Compression.
VCIP
Peijie Diao, Linfeng Liu, Qiu Shen, Xun Cao
2024 J jnl
Async Learned User Embeddings for Ads Delivery Optimization.
CoRR
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
2024 J jnl
Preference Discerning with LLM-Enhanced Generative Retrieval.
CoRR
Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xialo Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh
2023 J jnl
2C-Net: integrate image compression and classification via deep neural network.
Multim. Syst.
Linfeng Liu, Tong Chen, Haojie Liu, Shiliang Pu, Li Wang, Qiu Shen
2023 J jnl
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data.
NeuroImage
Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra
2023 J jnl
Comprehensive Model Construction and Simulation for Superconducting Electrodynamic Suspension Train.
Complex Syst. Model. Simul.
Linfeng Liu, Hao Ye, Wei Dong, Junfeng Cui
2023 — conf
Research On Tea Leaf Recognition Based On YOLOv5 Algorithm.
ICCDA
Mingshan Xie, Yijun Peng, Song Zhang, Jun Chen, Linfeng Liu, Hao Wang, Renjie Liao
2023 — conf
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery.
MICCAI (5)
Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra
2023 — conf
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction.
ISBI
Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
2023 J jnl
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction.
CoRR
Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
2022 J jnl
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data.
CoRR
Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra
2022 J jnl
Structure Guided Manifolds for Discovery of Disease Characteristics.
CoRR
Siyu Liu, Linfeng Liu, Xuan Vinh, Stuart Crozier, Craig Engstrom, Fatima A. Nasrallah, Shekhar Chandra
2021 — conf
Universal Representation for Code.
PAKDD (3)
Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
2021 J jnl
Universal Representation for Code.
CoRR
Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
2019 C conf
Codedretrieval: Joint Image Compression and Retrieval with Neural Networks.
VCIP
Linfeng Liu, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma
2018 J jnl
A Review of Human Motion Monitoring Methods using Wearable Sensors.
Int. J. Online Eng.
Yaqing Tu, Linfeng Liu, Ming Li, Peng Chen, Yuwen Mao
2018 — conf
CodedVision: Towards Joint Image Understanding and Compression via End-to-End Learning.
PCM (1)
Qiu Shen, Juanjuan Cai, Linfeng Liu, Haojie Liu, Tong Chen, Long Ye, Zhan Ma
2017 — conf
Adaptive Multi-feature Fusion for Correlation Filter Tracking.
CSPS
Linfeng Liu, Xiaole Yan, Qiu Shen
2016 J jnl
Adaptive neural network sliding mode control for steer-by-wire-based vehicle stability control.
J. Intell. Fuzzy Syst.
Hai Wang, Ping He, Ming Yu, Linfeng Liu, Manh Tuan Do, Huifang Kong, Zhihong Man
2016 J jnl
Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose.
Sensors
You Wang, Jiacheng Miao, Xiaofeng Lyu, Linfeng Liu, Zhiyuan Luo, Guang Li
2015 J jnl
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
Linfeng Liu, Ping Guo, Juan Zhao, Ning Li