Jiang Zhang

36 papers A* 1A 1C 1Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
LLM-powered Heterogeneous Information Network Analytics.
WWW (Companion Volume)
Hao Chen, Lun Du, Xu Chen, Xiaojun Ma, Jiang Zhang
2025 J jnl
PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints.
CoRR
Shuo Wang, Yun Cheng, Qingye Meng, Olga Saukh, Jiang Zhang, Jingfang Fan, Yuanting Zhang, Xingyuan Yuan, Lothar Thiele
2025 J jnl
Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints.
CoRR
Shuo Wang, Mengfan Teng, Yun Cheng, Lothar Thiele, Olga Saukh, Shuangshuang He, Yuanting Zhang, Jiang Zhang, Gangfeng Zhang, Xingyuan Yuan, Jingfang Fan
2024 J jnl
An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems.
Entropy
Kaiwei Liu, Bing Yuan, Jiang Zhang
2024 J jnl
Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies.
Entropy
Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
2024 J jnl
InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation.
BMC Bioinform.
Lifei Wang, Rui Nie, Xuexia Miao, Yankai Cai, Anqi Wang, Hanwen Zhang, Jiang Zhang, Jun Cai
2023 J jnl
Correction: Zhang, J.; Liu, K. Neural Information Squeezer for Causal Emergence. Entropy 2023, 25, 26.
Entropy
Jiang Zhang, Kaiwei Liu
2023 J jnl
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions.
CoRR
Jing Xu, Shuo Wang, Na Ying, Xiao Xiao, Jiang Zhang, Yun Cheng, Zhiling Jin, Gangfeng Zhang
2023 J jnl
Neural Information Squeezer for Causal Emergence.
Entropy
Jiang Zhang, Kaiwei Liu
2022 J jnl
Inferring Network Structure with Unobservable Nodes from Time Series Data.
CoRR
Mengyuan Chen, Yan Zhang, Zhang Zhang, Lun Du, Jiang Zhang
2022 J jnl
NEDMP: Neural Enhanced Dynamic Message Passing.
CoRR
Fei Gao, Yan Zhang, Jiang Zhang
2022 A conf
Neural Enhanced Dynamic Message Passing.
AISTATS
Fei Gao, Jiang Zhang, Yan Zhang
2022 J jnl
scCapsNet-mask: an updated version of scCapsNet with extended applicability in functional analysis related to scRNA-seq data.
BMC Bioinform.
Lifei Wang, Rui Nie, Jiang Zhang, Jun Cai
2021 J jnl
Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network.
J. Soc. Comput.
Weiwei Gu, Fei Gao, Ruiqi Li, Jiang Zhang
2021 A* conf
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data.
KDD
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
2021 J jnl
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data.
CoRR
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
2021 J jnl
The learning behaviours of dropouts in MOOCs: A collective attention network perspective.
Comput. Educ.
Jingjing Zhang, Ming Gao, Jiang Zhang
2020 J jnl
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data.
Nat. Mach. Intell.
Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang, Jun Cai
2020 J jnl
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs.
CoRR
Yaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou, Jiang Zhang
2020 J jnl
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network.
CoRR
Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu
2020 — conf
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting.
SIGSPATIAL/GIS
Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao
2020 J jnl
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting.
CoRR
Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao
2019 J jnl
A general deep learning framework for network reconstruction and dynamics learning.
Appl. Netw. Sci.
Zhang Zhang, Yi Zhao, Jing Liu, Shuo Wang, Ruyi Tao, Ruyue Xin, Jiang Zhang
2019 — conf
Gumbel-Softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs.
COMPLEX NETWORKS (1)
Jing Liu, Fei Gao, Jiang Zhang
2019 J jnl
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs.
CoRR
Jing Liu, Fei Gao, Jiang Zhang
2019 J jnl
Link Prediction via Graph Attention Network.
CoRR
Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang
2019 J jnl
Unraveling environmental justice in ambient PM
Comput. Environ. Urban Syst.
Yanyan Xu, Shan Jiang, Ruiqi Li, Jiang Zhang, Jinhua Zhao, Sofiane Abbar, Marta C. González
2019 C conf
Using Clickstream to Understand Learning Paths and the Network Structure of Learning Resources: Using MOOC as an Example.
ICCE
Ming Gao, Jingjing Zhang, Di Sun, Jiang Zhang
2018 J jnl
A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data.
CoRR
Zhang Zhang, Jing Liu, Shuo Wang, Ruyue Xin, Jiang Zhang
2018 J jnl
Complex Network Classification with Convolutional Neural Network.
CoRR
Ruyue Xin, Jiang Zhang, Yitong Shao
2017 J jnl
Common patterns of online collective attention flow.
Sci. China Inf. Sci.
Yong Li, Xiaofeng Meng, Qiang Zhang, Jiang Zhang, Changqing Wang
2017 J jnl
Interactive Levy Flight in Interest Space.
CoRR
Fanqi Zeng, Li Gong, Jing Liu, Jiang Zhang, Qinghua Chen, Ruyue Xin
2015 J jnl
Quantifying the Influence of Websites Based on Online Collective Attention Flow.
J. Comput. Sci. Technol.
Yong Li, Jiang Zhang, Xiao-Feng Meng, Changqing Wang
2014 — conf
The Geometric Origins of Complex Cities.
ECCS
Ruiqi Li, Lei Dong, Xinran Wang, Jiang Zhang
2009 — conf
Allometric Scaling of Weighted Food Webs.
Complex (2)
Jiang Zhang
2009 J jnl
Energy flows in complex ecological systems: a review.
J. Syst. Sci. Complex.
Jiang Zhang