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Jiang Zhang 0006
Person information
- affiliation: Beijing Normal University, Beijing, China
Other persons with the same name
- Jiang Zhang — disambiguation page
- Jiang Zhang 0001
— State Key Laboratory of Cryptology, Beijing, China
- Jiang Zhang 0002
- Jiang Zhang 0003 — University of Southern California, CA, USA (and 1 more)
- Jiang Zhang 0004 — National University of Defense Technology, Jiangsu, China (and 1 more)
- Jiang Zhang 0005 — Technical University of Denmark, Lyngby, Denmark
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2020 – today
- 2024
- [j14]Lifei Wang, Rui Nie, Xuexia Miao, Yankai Cai, Anqi Wang, Hanwen Zhang, Jiang Zhang, Jun Cai:
InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation. BMC Bioinform. 25(1): 41 (2024) - [j13]Bing Yuan
Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy 26(2): 108 (2024) - [j12]Kaiwei Liu
An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems. Entropy 26(8): 618 (2024) - 2023
- [j11]Jiang Zhang
Neural Information Squeezer for Causal Emergence. Entropy 25(1): 26 (2023) - [j10]Jiang Zhang
Correction: Zhang, J.; Liu, K. Neural Information Squeezer for Causal Emergence. Entropy 2023, 25, 26. Entropy 25(10): 1387 (2023) - [i12]Jing Xu, Shuo Wang
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions. CoRR abs/2302.09977 (2023) - 2022
- [j9]Lifei Wang, Rui Nie, Jiang Zhang, Jun Cai:
scCapsNet-mask: an updated version of scCapsNet with extended applicability in functional analysis related to scRNA-seq data. BMC Bioinform. 23(1): 539 (2022) - [c6]Fei Gao
Neural Enhanced Dynamic Message Passing. AISTATS 2022: 10471-10482 - [i11]Fei Gao, Yan Zhang, Jiang Zhang:
NEDMP: Neural Enhanced Dynamic Message Passing. CoRR abs/2202.06496 (2022) - [i10]Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Jiang Zhang:
Inferring Network Structure with Unobservable Nodes from Time Series Data. CoRR abs/2202.10144 (2022) - 2021
- [j8]Jingjing Zhang
The learning behaviours of dropouts in MOOCs: A collective attention network perspective. Comput. Educ. 167: 104189 (2021) - [j7]Weiwei Gu, Fei Gao, Ruiqi Li, Jiang Zhang:
Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network. J. Soc. Comput. 2(1): 43-51 (2021) - [c5]Lun Du
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. KDD 2021: 322-331 - [i9]Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang:
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. CoRR abs/2106.03096 (2021) - 2020
- [j6]Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data. Nat. Mach. Intell. 2(11): 693-703 (2020) - [c4]Shuo Wang
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting. SIGSPATIAL/GIS 2020: 163-166 - [i8]Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network. CoRR abs/2001.06576 (2020) - [i7]Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao:
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting. CoRR abs/2002.12898 (2020) - [i6]Yaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou, Jiang Zhang:
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs. CoRR abs/2004.07300 (2020)
2010 – 2019
- 2019
- [j5]Zhang Zhang, Yi Zhao, Jing Liu, Shuo Wang
A general deep learning framework for network reconstruction and dynamics learning. Appl. Netw. Sci. 4(1): 110 (2019) - [j4]Yanyan Xu, Shan Jiang
Unraveling environmental justice in ambient PM2.5 exposure in Beijing: A big data approach. Comput. Environ. Urban Syst. 75: 12-21 (2019) - [c3]Jing Liu
Gumbel-Softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs. COMPLEX NETWORKS (1) 2019: 879-890 - [i5]Jing Liu, Fei Gao, Jiang Zhang:
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs. CoRR abs/1909.07018 (2019) - [i4]Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang:
Link Prediction via Graph Attention Network. CoRR abs/1910.04807 (2019) - 2018
- [i3]Ruyue Xin, Jiang Zhang, Yitong Shao:
Complex Network Classification with Convolutional Neural Network. CoRR abs/1802.00539 (2018) - [i2]Zhang Zhang, Jing Liu, Shuo Wang, Ruyue Xin, Jiang Zhang:
A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data. CoRR abs/1812.11482 (2018) - 2017
- [j3]Yong Li, Xiaofeng Meng, Qiang Zhang, Jiang Zhang, Changqing Wang:
Common patterns of online collective attention flow. Sci. China Inf. Sci. 60(5): 59102 (2017) - [i1]Fanqi Zeng, Li Gong, Jing Liu, Jiang Zhang, Qinghua Chen, Ruyue Xin:
Interactive Levy Flight in Interest Space. CoRR abs/1705.09462 (2017) - 2015
- [j2]Yong Li, Jiang Zhang, Xiao-Feng Meng, Changqing Wang:
Quantifying the Influence of Websites Based on Online Collective Attention Flow. J. Comput. Sci. Technol. 30(6): 1175-1187 (2015) - 2014
- [c2]Ruiqi Li
The Geometric Origins of Complex Cities. ECCS 2014: 45-57
2000 – 2009
- 2009
- [j1]Jiang Zhang:
Energy flows in complex ecological systems: a review. J. Syst. Sci. Complex. 22(3): 345-359 (2009) - [c1]Jiang Zhang:
Allometric Scaling of Weighted Food Webs. Complex (2) 2009: 1441-1450
Coauthor Index
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