Fei Wang - RankMe

86 papers A* 11A 6B 4C 3Misc 3Journal 50Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift. AAAI Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2026	J	`jnl`	Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning. CoRR Ruiqi Liu, Boyu Diao, Zijia An, Zhulin An, Fei Wang, Yongjun Xu
2026	J	`jnl`	From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning. CoRR Hang Ni, Weijia Zhang, Fei Wang, Zezhi Shao, Hao Liu
2026	J	`jnl`	From Isolation to Integration: Building an Adaptive Expert Forest for Pre-Trained Model-based Class-Incremental Learning. CoRR Ruiqi Liu, Boyu Diao, Hangda Liu, Zhulin An, Fei Wang, Yongjun Xu
2026	A*	`conf`	Incentivizing Agentic Reasoning Capability with Outcome Supervision for Knowledge Base Question Answering. WWW Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin
2026	J	`jnl`	Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning. CoRR Ruiqi Liu, Boyu Diao, Zijia An, Runjie Shao, Zhulin An, Fei Wang, Yongjun Xu
2025	J	`jnl`	A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction. J. Comput. Sci. Technol. Tangwen Qian, Yuan Wang, Yong-Jun Xu, Zhao Zhang, Lin Wu, Qiang Qiu, Fei Wang
2025	J	`jnl`	APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift. CoRR Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2025	J	`jnl`	ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting. CoRR Fei Wang, Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Zhulin An, Yongjun Xu, Xueqi Cheng
2025	J	`jnl`	AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. IEEE Trans. Knowl. Data Eng. Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu
2025	—	`conf`	BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. KDD (2) Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025	J	`jnl`	BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. CoRR Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025	A*	`conf`	Editing Memories Through Few Targeted Neurons. AAAI Wei Zhou, Wei Wei, Guibang Cao, Fei Wang
2025	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2025	A*	`conf`	Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning. ICML Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu
2025	J	`jnl`	GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. IEEE Trans. Knowl. Data Eng. Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu
2025	B	`conf`	Heterogeneity in Multivariate Time Series: Comprehensive Analysis and Adaptive Modeling. SSTD Zezhi Shao, Chengqing Yu, Fei Wang
2025	J	`jnl`	KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA. CoRR Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin, Jiafeng Guo
2025	J	`jnl`	KnowCoder-V2: Deep Knowledge Analysis. CoRR Zixuan Li, Wenxuan Liu, Long Bai, Chunmao Zhang, Wei Li, Fenghui Zhang, Quanxin Jin, Ruoyun He, Zhuo Chen, Zhilei Hu, Fei Wang, Bingbing Xu, Xuhui Jiang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025	J	`jnl`	MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
2025	A*	`conf`	MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. AAAI Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
2025	—	`conf`	Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. KDD (2) Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025	J	`jnl`	Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. CoRR Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025	J	`jnl`	Overcoming Prompts Pool Confusion via Parameterized Prompt for Incremental Object Detection. CoRR Zijia An, Boyu Diao, Ruiqi Liu, Libo Huang, Chuanguang Yang, Fei Wang, Zhulin An, Yongjun Xu
2025	J	`jnl`	PrePrompt: Predictive prompting for class incremental learning. CoRR Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu
2025	A	`conf`	STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. CIKM Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025	J	`jnl`	STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. CoRR Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025	J	`jnl`	Selective Learning for Deep Time Series Forecasting. CoRR Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Qi Wang, Yongjun Xu, Fei Wang
2025	J	`jnl`	Trajectory-User Linking via Multi-Scale Graph Attention Network. Pattern Recognit. Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang
2024	A*	`conf`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2024	J	`jnl`	Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu
2024	Misc	`conf`	Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. ICASSP Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
2024	J	`jnl`	Exploiting global contextual information for document-level named entity recognition. Knowl. Based Syst. Yiting Yu, Zanbo Wang, Wei Wei, Ruihan Zhang, Xian-Ling Mao, Shanshan Feng, Fei Wang, Zhiyong He, Sheng Jiang
2024	A*	`conf`	GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024	J	`jnl`	GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024	J	`jnl`	LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting. CoRR Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu
2024	J	`jnl`	MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. CoRR Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
2024	A*	`conf`	Relational Diffusion Distillation for Efficient Image Generation. ACM Multimedia Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu
2024	J	`jnl`	Relational Diffusion Distillation for Efficient Image Generation. CoRR Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu
2024	—	`conf`	Self-Improvement Programming for Temporal Knowledge Graph Question Answering. LREC/COLING Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
2024	J	`jnl`	Self-Improvement Programming for Temporal Knowledge Graph Question Answering. CoRR Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
2023	J	`jnl`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2023	A	`conf`	Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. CIKM Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang
2023	A	`conf`	DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CIKM Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023	J	`jnl`	DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CoRR Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023	J	`jnl`	Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. CoRR Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
2023	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2023	J	`jnl`	HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection. Comput. Secur. Qing Wang, Cong Dong, Shijie Jian, Dan Du, Zhigang Lu, Yinhao Qi, Dongxu Han, Xiaobo Ma, Fei Wang, Yuling Liu
2023	J	`jnl`	HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
2023	J	`jnl`	Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
2023	A*	`conf`	Weighted Knowledge Graph Embedding. SIGIR Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
2022	J	`jnl`	A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. Sensors Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang
2022	—	`conf`	BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
2022	—	`conf`	BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis. ACL (Findings) Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, Zhiyong He
2022	J	`jnl`	BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis. CoRR Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, Zhiyong He
2022	C	`conf`	CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network. SecureComm Haitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lu, Fei Wang, Yuling Liu
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	—	`conf`	Human Mobility Identification by Deep Behavior Relevant Location Representation. DASFAA (2) Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu
2022	J	`jnl`	Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction. Connect. Sci. Chuan Zhao, Xin Li, Zezhi Shao, Hongji Yang, Fei Wang
2022	A*	`conf`	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. KDD Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
2022	J	`jnl`	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. CoRR Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
2022	J	`jnl`	Secure and Efficient Blockchain-Assisted Authentication for Edge-Integrated Internet-of-Vehicles. IEEE Trans. Veh. Technol. Meng Shen, Hao Lu, Fei Wang, Huisen Liu, Liehuang Zhu
2022	A	`conf`	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CIKM Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
2022	J	`jnl`	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CoRR Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
2022	A*	`conf`	Trajectory Prediction from Hierarchical Perspective. ACM Multimedia Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang
2021	J	`jnl`	Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
2021	B	`conf`	On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution. IJCNN Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu
2020	C	`conf`	A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. FUSION Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang
2020	—	`conf`	CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies. ICANN (2) Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu
2020	J	`jnl`	Data Security and Privacy Challenges of Computing Offloading in FINs. IEEE Netw. Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu
2020	J	`jnl`	Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data. ISPRS Int. J. Geo Inf. Lin Wu, Yongjun Xu, Fei Wang
2020	B	`conf`	TULSN: Siamese Network for Trajectory-user Linking. IJCNN Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu
2020	B	`conf`	Trajectory-User Link with Attention Recurrent Networks. ICPR Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao
2019	J	`jnl`	LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for $N$ -Times Computing Offloading in IoT. IEEE Internet Things J. Fei Wang, Yongjun Xu, Liehuang Zhu, Xiaojiang Du, Mohsen Guizani
2019	C	`conf`	Real-time Ship Track Association: a Benchmark and a Network-Based Method. FUSION Lin Wu, Yongjun Xu, Fei Wang, Qiang Lu, Miao Hu
2017	—	`conf`	EPAF: An Efficient Pseudonymous-Based Inter-vehicle Authentication Framework for VANET. MSN Fei Wang, Yifan Du, Yongjun Xu, Tan Cheng, Xiaoli Pan
2016	J	`jnl`	2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET. IEEE Trans. Veh. Technol. Fei Wang, Yongjun Xu, Hanwen Zhang, Yujun Zhang, Liehuang Zhu
2016	J	`jnl`	LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication. Computing Mingzhong Wang, Dan Liu, Liehuang Zhu, Yongjun Xu, Fei Wang
2015	J	`jnl`	Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks. Int. J. Distributed Sens. Networks Boyu Diao, Yongjun Xu, Zhulin An, Fei Wang, Chao Li
2014	Misc	`conf`	A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks. ICNC Fei Wang, Yujun Zhang, Yongjun Xu, Lin Wu, Boyu Diao
2013	J	`jnl`	A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks. Int. J. Distributed Sens. Networks Fei Wang, Yongjun Xu, Lin Wu, Longyijia Li, Dan Liu, Liehuang Zhu
2013	A	`conf`	Authenticating and tracing biological anonym of VANET based on KMC decentralization and two-factor. MobiSys Fei Wang, Yongjun Xu, Lin Wu, Dan Liu, Liehuang Zhu
2013	A	`conf`	Odometer in the pocket. MobiSys Lin Wu, Yongjun Xu, Zhulin An, Chaonong Xu, Fei Wang
2013	—	`conf`	Plug-configure-Play Service-oriented Gateway - For Fast and Easy Sensor Network Application Development. SENSORNETS Lin Wu, Yongjun Xu, Chaonong Xu, Fei Wang
2013	Misc	`conf`	The construction and research of lightweight cryptography SOPT-S boxes based on the inverse mapping in galois field. GrC Zhao-long Fan, Qi-jian Xu, Yongjun Xu, Fei Wang