Minglong Lei - RankMe

37 papers A* 2A 1B 1Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph transformer with high-degree nodes anchoring for graph partitioning. Neural Networks Zhengxi Yang, Lingfeng Niu, Minglong Lei
2026	J	`jnl`	MuDiS-GDA: Multiscale discriminative graph domain adaptation. Neural Networks Can Zhang, Minglong Lei
2026	J	`jnl`	WaveST-Mamba: A joint framework of wavelet transform with Mamba for stable and fluctuating patterns in spatio-temporal weather forecasting. Eng. Appl. Artif. Intell. Yadong Xiao, Junzhong Ji, Minglong Lei, Muhua Wang, Tingzhao Yu
2025	A*	`conf`	Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. AAAI Sicheng He, Junzhong Ji, Minglong Lei
2025	J	`jnl`	Spatio-Temporal Transformer Network for Weather Forecasting. IEEE Trans. Big Data Junzhong Ji, Jing He, Minglong Lei, Muhua Wang, Wei Tang
2024	—	`conf`	Decomposed Latent Diffusion Model for 3D Point Cloud Generation. PRCV (6) Runfeng Zhao, Junzhong Ji, Minglong Lei
2024	J	`jnl`	Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Trans. Neural Networks Learn. Syst. Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song
2024	J	`jnl`	Latent diffusion transformer for point cloud generation. Vis. Comput. Junzhong Ji, Runfeng Zhao, Minglong Lei
2024	A	`conf`	Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting. CIKM Jing He, Junzhong Ji, Minglong Lei
2024	J	`jnl`	Two-level adversarial attacks for graph neural networks. Inf. Sci. Chengxi Song, Lingfeng Niu, Minglong Lei
2023	—	`conf`	A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting. ICDM (Workshops) Can Zhang, Minglong Lei
2023	J	`jnl`	A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs. CoRR Ruibin Zeng, Minglong Lei, Lingfeng Niu, Lan Cheng
2023	J	`jnl`	Graph Influence Network. IEEE Trans. Cybern. Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
2023	J	`jnl`	Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Junzhong Ji, Fan Yu, Minglong Lei
2023	J	`jnl`	Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Trans. Netw. Sci. Eng. Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei
2022	—	`conf`	A Brief Survey for Fake News Detection via Deep Learning Models. ITQM Jia Li, Minglong Lei
2022	J	`jnl`	DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
2022	J	`jnl`	FC-HAT: Hypergraph attention network for functional brain network classification. Inf. Sci. Junzhong Ji, Yating Ren, Minglong Lei
2022	J	`jnl`	Latent neighborhood-based heterogeneous graph representation. Neural Networks Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2022	—	`conf`	Optimal Transport Guided Node Classification in Cross Networks. ITQM Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu
2022	J	`jnl`	Relation constraint self-attention for image captioning. Neurocomputing Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
2022	J	`jnl`	Self-supervised knowledge distillation for complementary label learning. Neural Networks Jiabin Liu, Biao Li, Minglong Lei, Yong Shi
2022	J	`jnl`	Supervised Contrastive Learning with Structure Inference for Graph Classification. CoRR Hao Jia, Junzhong Ji, Minglong Lei
2021	J	`jnl`	Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks Junzhong Ji, Ye Liang, Minglong Lei
2021	J	`jnl`	Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2021	J	`jnl`	Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognit. Lett. Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2021	J	`jnl`	Latent Network Embedding via Adversarial Auto-encoders. CoRR Minglong Lei, Yong Shi, Lingfeng Niu
2021	J	`jnl`	Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
2020	A*	`conf`	Discrete Embedding for Latent Networks. IJCAI Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
2019	—	`conf`	A Brief Review of Receptive Fields in Graph Convolutional Networks. WI (Companion) Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu
2019	J	`jnl`	Diffusion network embedding. Pattern Recognit. Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
2019	J	`jnl`	Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu
2019	—	`conf`	Optimization Strategies in Quantized Neural Networks: A Review. ICDM Workshops Yuhan Lin, Minglong Lei, Lingfeng Niu
2019	—	`conf`	Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM Yi Qu, Pei Quan, Minglong Lei, Yong Shi
2018	—	`conf`	Deep Streaming Graph Representations. ICCS (3) Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu
2018	J	`jnl`	Diffusion Based Network Embedding. CoRR Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu
2018	B	`conf`	The Applications of Stochastic Models in Network Embedding: A Survey. WI Minglong Lei, Yong Shi, Lingfeng Niu