Yangli-ao Geng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Incremental Learning

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Trans. Veh. Technol.

Pattern Recognit.

Publications

Yangli-ao Geng, Chong-Yung Chi, Wenju Sun, Jing Zhang, Qingyong Li
Disentangling clusters from non-Euclidean data via graph frequency reorganization. Inf. Sci. 662 (2024)
Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR (2024)
Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. CoRR (2024)
Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng
Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers. Neurocomputing 556 (2023)
Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng
Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning. CVPR (2023)
Wenju Sun, Qingyong Li, Wen Wang, Yangli-ao Geng
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging. CoRR (2023)
Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng
Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers. Pattern Recognit. 140 (2023)
Jing Zhang, Yangli-ao Geng, Wen Wang, Wenju Sun, Zhirong Yang, Qingyong Li
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. Knowl. Based Syst. 251 (2022)
Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding
A zero-shot learning framework via cluster-prototype matching. Pattern Recognit. 124 (2022)
Min Zheng, Yangli-ao Geng, Qingyong Li
Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval. Entropy 24 (2) (2022)
Xinyuan Zhou, Yangli-ao Geng, Haomin Yu, Qingyong Li, Liangtao Xu, Wen Yao, Dong Zheng, Yijun Zhang
LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation. Appl. Intell. 52 (10) (2022)
Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers. CoRR (2022)
Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li
DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting. IEEE BigData (2021)
Wenju Sun, Jing Zhang, Danyu Wang, Yangli-ao Geng, Qingyong Li
ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers. CVPR Workshops (2021)
Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors. CoRR (2021)
Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang
A Heterogeneous Spatiotemporal Network for Lightning Prediction. ICDM (2020)
Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. CIKM (2020)
Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. AAAI (2020)
Haomin Yu, Qingyong Li, Rao Wang, Zechuan Chen, Yingjun Zhang, Yangli-ao Geng, Ling Zhang, Houxin Cui, Ke Zhang
A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Zechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang
EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction. IEEE BigData (2020)
Chen Huang, Andreas F. Molisch, Yangli-ao Geng, Ruisi He, Bo Ai, Zhangdui Zhong
Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling. IEEE Trans. Veh. Technol. 69 (1) (2020)
Yangli-ao Geng, Qingyong Li, Mingfei Liang, Chong-Yung Chi, Juan Tan, Heng Huang
Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Trans. Parallel Distributed Syst. 31 (8) (2020)
Tianyang Lin, Qingyong Li, Yangli-ao Geng, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang
Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast. IEEE Access 7 (2019)
Chen Huang, Ruisi He, Zhangdui Zhong, Bo Ai, Yangli-ao Geng, Zhimeng Zhong, Qingyong Li, Katsuyuki Haneda, Claude Oestges
A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels. IEEE Trans. Veh. Technol. 68 (1) (2019)
Yangli-ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang
LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction. KDD (2019)
Haomin Yu, Qingyong Li, Yunqiang Tan, Jinrui Gan, Jianzhu Wang, Yangli-ao Geng, Lei Jia
A Coarse-to-Fine Model for Rail Surface Defect Detection. IEEE Trans. Instrum. Meas. 68 (3) (2019)
Ernan Li, Qingyong Li, Yangli-ao Geng, Min Zheng, Shiqing Wan
Ensemble Clustering Using Maximum Relative Density Path. BigComp (2018)
Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He, Naixue Xiong
RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. (2018)
Mingfei Liang, Qingyong Li, Yangli-ao Geng, Jianzhu Wang, Zhi Wei
REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark. ICPADS (2017)
Qingyong Li, Min Zheng, Feng Li, Jianzhu Wang, Yangli-ao Geng, Haibo Jiang
Retinal image segmentation using double-scale non-linear thresholding on vessel support regions. CAAI Trans. Intell. Technol. 2 (3) (2017)
Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He
RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. CoRR (2016)