default search action
Minglong Lei
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
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) - [c11]Jing He, Junzhong Ji, Minglong Lei:
Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting. CIKM 2024: 819-828 - [c10]Runfeng Zhao, Junzhong Ji, Minglong Lei:
Decomposed Latent Diffusion Model for 3D Point Cloud Generation. PRCV (6) 2024: 431-445 - 2023
- [j13]Yong Shi
Graph Influence Network. IEEE Trans. Cybern. 53(10): 6146-6159 (2023) - [j12]Junzhong Ji
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
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
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
Latent neighborhood-based heterogeneous graph representation. Neural Networks 154: 413-424 (2022) - [j7]Jiabin Liu, Biao Li
Self-supervised knowledge distillation for complementary label learning. Neural Networks 155: 318-327 (2022) - [j6]Minglong Lei
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
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
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
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
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
Review of bankruptcy prediction using machine learning and deep learning techniques. ITQM 2019: 895-899 - [c3]Pei Quan
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: