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2020 – today
- 2024
[j16]Chengxi Song, Lingfeng Niu
, Minglong Lei:
Two-level adversarial attacks for graph neural networks. Inf. Sci. 654: 119877 (2024)- [j15]Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song:
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7871-7883 (2024) - [j14]Junzhong Ji, Runfeng Zhao, Minglong Lei:
Latent diffusion transformer for point cloud generation. Vis. Comput. 40(6): 3903-3917 (2024) - 2023
- [j13]Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu:
Graph Influence Network. IEEE Trans. Cybern. 53(10): 6146-6159 (2023) - [j12]Junzhong Ji, Fan Yu, Minglong Lei:
Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 24(2): 1580-1593 (2023) - [j11]Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei:
Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Trans. Netw. Sci. Eng. 10(3): 1684-1695 (2023) - [c9]Can Zhang, Minglong Lei:
A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting. ICDM (Workshops) 2023: 1417-1423 - [i5]Ruibin Zeng, Minglong Lei, Lingfeng Niu, Lan Cheng:
A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs. CoRR abs/2312.11547 (2023) - 2022
- [j10]Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu:
Relation constraint self-attention for image captioning. Neurocomputing 501: 778-789 (2022) - [j9]Junzhong Ji, Yating Ren, Minglong Lei:
FC-HAT: Hypergraph attention network for functional brain network classification. Inf. Sci. 608: 1301-1316 (2022) - [j8]Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Latent neighborhood-based heterogeneous graph representation. Neural Networks 154: 413-424 (2022) - [j7]Jiabin Liu, Biao Li, Minglong Lei, Yong Shi:
Self-supervised knowledge distillation for complementary label learning. Neural Networks 155: 318-327 (2022) - [j6]Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu:
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52(2): 912-924 (2022) - [c8]Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu:
Optimal Transport Guided Node Classification in Cross Networks. ITQM 2022: 1160-1167 - [c7]Jia Li, Minglong Lei:
A Brief Survey for Fake News Detection via Deep Learning Models. ITQM 2022: 1339-1344 - [i4]Hao Jia, Junzhong Ji, Minglong Lei:
Supervised Contrastive Learning with Structure Inference for Graph Classification. CoRR abs/2203.07691 (2022) - 2021
- [j5]Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks 134: 42-53 (2021) - [j4]Junzhong Ji, Ye Liang, Minglong Lei:
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks 142: 522-533 (2021) - [j3]Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognit. Lett. 149: 150-156 (2021) - [i3]Minglong Lei, Yong Shi, Lingfeng Niu:
Latent Network Embedding via Adversarial Auto-encoders. CoRR abs/2109.15257 (2021) - [i2]Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei:
Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR abs/2112.01174 (2021) - 2020
- [c6]Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang:
Discrete Embedding for Latent Networks. IJCAI 2020: 1223-1229
2010 – 2019
- 2019
- [j2]Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu:
Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access 7: 17195-17206 (2019) - [j1]Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu:
Diffusion network embedding. Pattern Recognit. 88: 518-531 (2019) - [c5]Yuhan Lin, Minglong Lei, Lingfeng Niu:
Optimization Strategies in Quantized Neural Networks: A Review. ICDM Workshops 2019: 385-390 - [c4]Yi Qu, Pei Quan, Minglong Lei, Yong Shi:
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM 2019: 895-899 - [c3]Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu:
A Brief Review of Receptive Fields in Graph Convolutional Networks. WI (Companion) 2019: 106-110 - 2018
- [c2]Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu:
Deep Streaming Graph Representations. ICCS (3) 2018: 512-518 - [c1]Minglong Lei, Yong Shi, Lingfeng Niu:
The Applications of Stochastic Models in Network Embedding: A Survey. WI 2018: 635-638 - [i1]Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu:
Diffusion Based Network Embedding. CoRR abs/1805.03504 (2018)
Coauthor Index
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