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Yangli-ao Geng
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2020 – today
- 2024
- [j16]Yangli-ao Geng
, Chong-Yung Chi
Disentangling clusters from non-Euclidean data via graph frequency reorganization. Inf. Sci. 662: 120288 (2024) - [c12]Wenju Sun
Incremental Learning via Robust Parameter Posterior Fusion. ACM Multimedia 2024: 4292-4301 - [i6]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 abs/2401.06199 (2024) - [i5]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 abs/2406.08762 (2024) - 2023
- [j15]Wenju Sun
Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers. Neurocomputing 556: 126579 (2023) - [j14]Wenju Sun
Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers. Pattern Recognit. 140: 109561 (2023) - [c11]Wenju Sun
Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning. CVPR 2023: 20186-20195 - [i4]Wenju Sun
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging. CoRR abs/2310.18639 (2023) - 2022
- [j13]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): 11147-11159 (2022) - [j12]Min Zheng, Yangli-ao Geng, Qingyong Li:
Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval. Entropy 24(2): 156 (2022) - [j11]Jing Zhang
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. Knowl. Based Syst. 251: 109218 (2022) - [j10]Jing Zhang
A zero-shot learning framework via cluster-prototype matching. Pattern Recognit. 124: 108469 (2022) - [i3]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 abs/2201.01488 (2022) - 2021
- [c10]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: 1679-1685 - [c9]Wenju Sun
ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers. CVPR Workshops 2021: 3580-3588 - [i2]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 abs/2105.04425 (2021) - 2020
- [j9]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): 7167-7179 (2020) - [j8]Yangli-ao Geng
Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Trans. Parallel Distributed Syst. 31(8): 1799-1814 (2020) - [j7]Chen Huang
Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling. IEEE Trans. Veh. Technol. 69(1): 1041-1045 (2020) - [c8]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: 1129-1136 - [c7]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: 4545-4552 - [c6]Jing Zhang
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. CIKM 2020: 1803-1812 - [c5]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: 1034-1039
2010 – 2019
- 2019
- [j6]Tianyang Lin
Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast. IEEE Access 7: 158296-158307 (2019) - [j5]Haomin Yu, Qingyong Li
A Coarse-to-Fine Model for Rail Surface Defect Detection. IEEE Trans. Instrum. Meas. 68(3): 656-666 (2019) - [j4]Chen Huang
A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels. IEEE Trans. Veh. Technol. 68(1): 291-305 (2019) - [c4]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: 2439-2447 - 2018
- [j3]Yangli-ao Geng
RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. 436-437: 13-30 (2018) - [c3]Ernan Li, Qingyong Li, Yangli-ao Geng, Min Zheng, Shiqing Wan:
Ensemble Clustering Using Maximum Relative Density Path. BigComp 2018: 190-197 - 2017
- [j2]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): 109-115 (2017) - [j1]Ruisi He
A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering. IEEE Trans. Wirel. Commun. 16(11): 7138-7151 (2017) - [c2]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: 376-383 - [c1]Ruisi He, Qingyong Li, Bo Ai, Yang Li-Ao Geng, Andreas F. Molisch, Vinod Kristem
An Automatic Clustering Algorithm for Multipath Components Based on Kernel-Power-Density. WCNC 2017: 1-6 - 2016
- [i1]Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He:
RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. CoRR abs/1611.00484 (2016)
Coauthor Index
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