Ke Gao

51 papers A* 1A 4B 2C 1Journal 33Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A combined air volume prediction model for hazardous mine tunnels using directed graph convolutional neural networks.
Eng. Appl. Artif. Intell.
Zhen Wang, Erkan Topal, Yongli Li, Ke Gao, Chen Yang
2026 J jnl
Meningioma Analysis and Diagnosis using Limited Labeled Samples.
CoRR
Jiamiao Lu, Wei Wu, Ke Gao, Ping Mao, Weichuan Zhang, Tuo Wang, Lingkun Ma, Jiapan Guo, Zanyi Wu, Yuqing Hu, Changming Sun
2026 J jnl
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation.
CoRR
Yize Wu, Ke Gao, Ling Li, Yanjun Wu
2025 J jnl
ISTFormer: lightweight transformer for enhanced super-resolution of coal rock images via iterative feature extraction.
Vis. Comput.
Hao Liu, Ye Liu, Shuanglong Yao, Tongshuai Yu, Ke Gao, Pengcheng Hao, Shuqing He, Ji Chen, Xing Wang
2025 J jnl
Model-Based Approach for Civil Aviation Material Support System Modeling.
Syst. Eng.
Jie Chen, Dongshan Zha, Ke Gao, Bijiang Lv, Nan Zhang, Chen Li
2025 J jnl
The Research on Demand-Based Regulation of Mine Airflow Based on Niche Genetic Algorithm.
IEEE Access
Zhipeng Qi, Dariusz Obracaj, Ke Gao, Lianzeng Shi
2025 J jnl
WARNs: a time series model integrating wavelet convolution and channel attention mechanism.
J. Supercomput.
Jie Chen, Xinran Zhang, Ke Gao, Dongshan Zha, Yanting Han, Jiahao Guo
2025 — conf
scAFC: Adaptive Fusion Clustering of Single-Cell RNA-seq Data Through Autoencoder and Graph Attention Networks.
ICIC (26)
Cunmei Ji, Zhaomei Li, Yutian Wang, Ke Gao, Zongpei Ma, Chunhou Zheng
2025 — conf
scMGCC: A Self-supervised Multi-level Graph Contrastive Learning Method for scRNA-seq Data Clustering.
ICIC (25)
Yutian Wang, Chuanxin Liu, Ke Gao, Cunmei Ji, Chun-Hou Zheng
2024 J jnl
Adaptive Adjustment for Laser Energy and PMT Gain Through Self-Feedback of Echo Data in Bathymetric LiDAR.
IEEE Trans. Geosci. Remote. Sens.
Guoqing Zhou, Naihui Song, Guoshuai Jia, Jinhuang Wu, Ke Gao, Jingjin Huang, Xiang Zhou, Jiasheng Xu, Tongzhi Lin, Lieping Zhang, Ran Ma
2024 J jnl
Adaptive High-Speed Echo Data Acquisition Method for Bathymetric LiDAR.
IEEE Trans. Geosci. Remote. Sens.
Guoqing Zhou, Guoshuai Jia, Xiang Zhou, Naihui Song, Jinhuang Wu, Ke Gao, Jingjin Huang, Jiasheng Xu, Qiang Zhu
2024 J jnl
Development of an Adaptive Fuzzy Integral-Derivative Line-of-Sight Method for Bathymetric LiDAR Onboard Unmanned Surface Vessel.
Remote. Sens.
Guoqing Zhou, Jinhuang Wu, Ke Gao, Naihui Song, Guoshuai Jia, Xiang Zhou, Jiasheng Xu, Xia Wang
2024 J jnl
Forecasting the Friction Factor of a Mine Airway Using an Improvement Stacking Ensemble Learning Approach.
IEEE Access
Zhipeng Qi, Ke Gao, Dariusz Obracaj, Yujiao Liu, Keyi Yuan
2023 J jnl
A Natural Lane Changing Decision Model For Mixed Traffic Flow Based On Extreme Value Theory.
CoRR
Jiali Peng, Wei ShangGuan, Linguo Chai, Rui Luo, Ke Gao
2023 J jnl
CSCMOT: Multi-object tracking based on channel spatial cooperative attention mechanism.
Eng. Appl. Artif. Intell.
Fei Wang, Hao Yan, Libo Zhang, Ke Gao
2023 J jnl
Off-Axis Four-Reflection Optical Structure for Lightweight Single-Band Bathymetric LiDAR.
IEEE Trans. Geosci. Remote. Sens.
Guoqing Zhou, Jiasheng Xu, Haocheng Hu, Zhexian Liu, Haotian Zhang, Chao Xu, Xiang Zhou, Jiazhi Yang, Xueqin Nong, Bo Song, Naihui Song, Ke Gao, Guoshuai Jia, Hanjiang Xiong, Yiqiang Zhao
2023 J jnl
Robotic milling stability optimization based on robot functional redundancy.
Ind. Robot
Ke Gao, Xiaoqin Zhou, Rongqi Wang, Mingxu Fan, Haochen Han
2022 J jnl
A Diluted Bitcoin-Dollar-Gold Mean Prediction Scheme Based on Periodic Prediction Method.
IEEE Access
Hongze Guo, Ke Gao, Yue Yu, Yingchang Liu, Lei Fu
2022 J jnl
A Hierarchical Path Planning Approach with Multi-SARSA Based on Topological Map.
Sensors
Shiguang Wen, Yufan Jiang, Ben Cui, Ke Gao, Fei Wang
2022 J jnl
A Novel Model for Analyzing the Statistical Properties of Targets' RCS.
IEEE Signal Process. Lett.
Lingzhi Wang, Guo Xie, Fucai Qian, Yongze Jin, Ke Gao
2022 A conf
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.
CIKM
Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
2022 J jnl
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.
CoRR
Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
2021 J jnl
Multi-Granularity Network with Modal Attention for Dense Affective Understanding.
CoRR
Baoming Yan, Lin Wang, Ke Gao, Bo Gao, Xiao Liu, Chao Ban, Jiang Yang, Xiaobo Li
2020 J jnl
Multi-view predictive latent space learning.
Pattern Recognit. Lett.
Jirui Yuan, Ke Gao, Pengfei Zhu, Karen O. Egiazarian
2019 J jnl
Context-adaptive matching for optical flow.
Multim. Tools Appl.
Yueran Zu, Wenzhong Tang, Xiuguo Bao, Yanyang Wang, Ke Gao
2019 A* conf
Cost-free Transfer Learning Mechanism: Deep Digging Relationships of Action Categories.
ACM Multimedia
Wanneng Wang, Yanan Ma, Ke Gao, Juan Cao
2019 A conf
Predictability Analyzing: Deep Reinforcement Learning for Early Action Recognition.
ICME
Xiaokai Chen, Ke Gao, Juan Cao
2018 — conf
A Combined Local-Global Match for Optical Flow.
IGTA
Yueran Zu, Wenzhong Tang, Xiuguo Bao, Ke Gao, Mingdong Zhang
2018 J jnl
Adjacency and Laplacian spectrum of a class of generalized corona.
Ars Comb.
Pengli Lu, Ke Gao
2018 J jnl
DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding.
CoRR
Xiaokai Chen, Ke Gao
2018 B conf
Saliency guided fast interpolation for large displacement optical flow.
ICPR
Yueran Zu, Ke Gao, Xiuguo Bao, Wenzhong Tang
2018 J jnl
Signless Laplacian spectrum of a class of generalized corona and its application.
Discret. Math. Algorithms Appl.
Pengli Lu, Ke Gao, Yumo Wu
2017 J jnl
Matryoshka Peek: Toward Learning Fine-Grained, Robust, Discriminative Features for Product Search.
IEEE Trans. Multim.
Zawlin Kyaw, Shuhan Qi, Ke Gao, Hanwang Zhang, Luming Zhang, Jun Xiao, Xuan Wang, Tat-Seng Chua
2017 B conf
Mixed sparsity regularized multi-view unsupervised feature selection.
ICIP
Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2017 J jnl
Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features.
BMC Bioinform.
Jian-Yu Shi, Jia-Xin Li, Ke Gao, Peng Lei, Siu-Ming Yiu
2017 J jnl
Special issue on cross-media big data analytics.
J. Vis. Commun. Image Represent.
An-An Liu, Ke Gao, Liqiang Nie, Juergen Gall, Yi Yang
2016 — conf
LCM-DS: A novel approach of predicting drug-drug interactions for new drugs via Dempster-Shafer theory of evidence.
BIBM
Jianyu Shi, Ke Gao, Xue-Qun Shang, Siu-Ming Yiu
2016 — conf
Saliency meets spatial quantization: A practical framework for large scale product search.
ICME Workshops
Shuhan Qi, Kyaw Zawlin, Hanwang Zhang, Xuan Wang, Ke Gao, Lin Yao, Tat-Seng Chua
2016 — conf
Unsupervised Subspace Learning via Analysis Dictionary Learning.
CCBR
Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2016 J jnl
Visual homograph: A novel basic visual element.
Neurocomputing
Liyan Zhang, Ke Gao
2015 J jnl
A Novel IBF and Its Application in Ultra-Wideband Systems.
Wirel. Pers. Commun.
Yinhui Yu, Ke Gao
2015 — conf
Decoupling Contention with Victim Row-Buffer on Multicore Memory Systems.
IPDPS Workshops
Ke Gao, Dongrui Fan, Jie Wu, Zhiyong Liu
2012 J jnl
Combining conformational sampling and selection to identify the binding mode of zinc-bound amyloid peptides with bifunctional molecules.
J. Comput. Aided Mol. Des.
Liang Xu, Ke Gao, Chunyu Bao, Xicheng Wang
2010 A conf
A passive approach to wireless device fingerprinting.
DSN
Ke Gao, Cherita L. Corbett, Raheem A. Beyah
2010 J jnl
Empirical Analysis of Customer Behaviors in Chinese E-Commerce.
J. Networks
Jinlong Wang, Ke Gao, Gang Li
2010 J jnl
SpamCooling: A Parallel Heterogeneous Ensemble Spam Filtering System Based on Active Learning Techniques.
J. Convergence Inf. Technol.
Jinlong Wang, Ke Gao, Huy Quan Vu
2009 — conf
Journal ranking based on social information.
JCDL
Jinlong Wang, Ke Gao, Yongli Ren, Gang Li
2009 C conf
Study on Ensemble Classification Methods towards Spam Filtering.
ADMA
Jinlong Wang, Ke Gao, Yang Jiao, Gang Li
2009 A conf
Visual words based spatiotemporal sequence matching in video copy detection.
ICME
Huamin Ren, Shouxun Lin, Dongming Zhang, Sheng Tang, Ke Gao
2008 — conf
Study on Topic Evolution Based on Text Mining.
FSKD (2)
Jinlong Wang, Xueyu Geng, Ke Gao, Lan Li
2006 — conf
CoarseZ Buffer Bandwidth Model in 3D Rendering Pipeline.
IMSCCS (1)
Ke Yang, Ke Gao, Jiaoying Shi, Xiaohong Jiang, Hua Xiong