Yangli-ao Geng

44 papers A* 6A 2B 1Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors. CoRR Yuze Qin, Qingyong Li, Zhiqing Guo, Wen Wang, Yan Liu, Yangli-ao Geng
2026	J	`jnl`	Towards plastic and stable incremental learning: A dual-learner framework with cumulative parameter averaging. Pattern Recognit. Wenju Sun, Qingyong Li, Siyu Zhang, Wen Wang, Yangli-ao Geng
2026	J	`jnl`	Uncertainty-aware deep multi-graph learning approach coupling zero-inflated Generalized Poisson for ridesharing demand prediction. Inf. Sci. Yu Duan, Xiaobing Liu, Yangli-ao Geng, Genrui Xu, Yun Wang, Xuedong Yan
2025	J	`jnl`	CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging. CoRR Wenju Sun, Qingyong Li, Yangli-ao Geng, Boyang Li
2025	J	`jnl`	Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery. Neurocomputing Siyu Zhang, Wenju Sun, Yangli-ao Geng, Qingyong Li, Wen Wang
2025	J	`jnl`	LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. IEEE Trans. Knowl. Data Eng. Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang
2025	A*	`conf`	PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. WWW Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song
2025	J	`jnl`	PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. CoRR Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song
2025	J	`jnl`	Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts. CoRR Wenju Sun, Qingyong Li, Wen Wang, Yangli-ao Geng, Boyang Li
2025	J	`jnl`	Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration. CoRR Wenju Sun, Qingyong Li, Wen Wang, Yang Liu, Yangli-ao Geng, Boyang Li
2024	J	`jnl`	Disentangling clusters from non-Euclidean data via graph frequency reorganization. Inf. Sci. Yangli-ao Geng, Chong-Yung Chi, Wenju Sun, Jing Zhang, Qingyong Li
2024	A*	`conf`	Incremental Learning via Robust Parameter Posterior Fusion. ACM Multimedia Wenju Sun, Qingyong Li, Siyu Zhang, Wen Wang, Yangli-ao Geng
2024	J	`jnl`	LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. CoRR Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Multi-Condition Remaining Useful Life Prediction Based on Mixture of Encoders. Entropy Yang Liu, Bihe Xu, Yangli-ao Geng
2024	J	`jnl`	xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR 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
2023	J	`jnl`	Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers. Neurocomputing Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng
2023	A*	`conf`	Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning. CVPR Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng
2023	A	`conf`	Detecting Social Bot on the Fly using Contrastive Learning. CIKM Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang
2023	J	`jnl`	Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers. Pattern Recognit. Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng
2023	J	`jnl`	Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging. CoRR Wenju Sun, Qingyong Li, Wen Wang, Yangli-ao Geng
2022	J	`jnl`	A zero-shot learning framework via cluster-prototype matching. Pattern Recognit. Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding
2022	J	`jnl`	Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. Knowl. Based Syst. Jing Zhang, Yangli-ao Geng, Wen Wang, Wenju Sun, Zhirong Yang, Qingyong Li
2022	J	`jnl`	Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers. CoRR Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng
2022	J	`jnl`	LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation. Appl. Intell. Xinyuan Zhou, Yangli-ao Geng, Haomin Yu, Qingyong Li, Liangtao Xu, Wen Yao, Dong Zheng, Yijun Zhang
2022	J	`jnl`	Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval. Entropy Min Zheng, Yangli-ao Geng, Qingyong Li
2021	—	`conf`	DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting. IEEE BigData Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li
2021	—	`conf`	ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers. CVPR Workshops Wenju Sun, Jing Zhang, Danyu Wang, Yangli-ao Geng, Qingyong Li
2021	J	`jnl`	MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors. CoRR Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou
2020	J	`jnl`	A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling. IEEE Trans. Instrum. Meas. Haomin Yu, Qingyong Li, Rao Wang, Zechuan Chen, Yingjun Zhang, Yangli-ao Geng, Ling Zhang, Houxin Cui, Ke Zhang
2020	A*	`conf`	A Heterogeneous Spatiotemporal Network for Lightning Prediction. ICDM Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang
2020	A*	`conf`	AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. AAAI Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei
2020	—	`conf`	EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction. IEEE BigData Zechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang
2020	J	`jnl`	Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Trans. Parallel Distributed Syst. Yangli-ao Geng, Qingyong Li, Mingfei Liang, Chong-Yung Chi, Juan Tan, Heng Huang
2020	A	`conf`	More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. CIKM Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi
2020	J	`jnl`	Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling. IEEE Trans. Veh. Technol. Chen Huang, Andreas F. Molisch, Yangli-ao Geng, Ruisi He, Bo Ai, Zhangdui Zhong
2019	J	`jnl`	A Coarse-to-Fine Model for Rail Surface Defect Detection. IEEE Trans. Instrum. Meas. Haomin Yu, Qingyong Li, Yunqiang Tan, Jinrui Gan, Jianzhu Wang, Yangli-ao Geng, Lei Jia
2019	J	`jnl`	A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels. IEEE Trans. Veh. Technol. Chen Huang, Ruisi He, Zhangdui Zhong, Bo Ai, Yangli-ao Geng, Zhimeng Zhong, Qingyong Li, Katsuyuki Haneda, Claude Oestges
2019	J	`jnl`	Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast. IEEE Access Tianyang Lin, Qingyong Li, Yangli-ao Geng, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang
2019	A*	`conf`	LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction. KDD Yangli-ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang
2018	—	`conf`	Ensemble Clustering Using Maximum Relative Density Path. BigComp Ernan Li, Qingyong Li, Yangli-ao Geng, Min Zheng, Shiqing Wan
2018	J	`jnl`	RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He, Naixue Xiong
2017	B	`conf`	REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark. ICPADS Mingfei Liang, Qingyong Li, Yangli-ao Geng, Jianzhu Wang, Zhi Wei
2017	J	`jnl`	Retinal image segmentation using double-scale non-linear thresholding on vessel support regions. CAAI Trans. Intell. Technol. Qingyong Li, Min Zheng, Feng Li, Jianzhu Wang, Yangli-ao Geng, Haibo Jiang
2016	J	`jnl`	RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. CoRR Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He