Allometric Scaling of Weighted Food Webs. - Jiang Zhang 006 (Complex (2), 2009)

Energy flows in complex ecological systems: a review. - Jiang Zhang 006 (J. Syst. Sci. Complex., 2009)

The Geometric Origins of Complex Cities. - Ruiqi Li; Lei Dong; Xinran Wang; Jiang Zhang 006 (ECCS, 2014)

Quantifying the Influence of Websites Based on Online Collective Attention Flow. - Yong Li 008; Jiang Zhang 006; Xiao-Feng Meng 001; Changqing Wang (J. Comput. Sci. Technol., 2015)

Common patterns of online collective attention flow. - Yong Li 008; Xiaofeng Meng 001; Qiang Zhang; Jiang Zhang 006; Changqing Wang (Sci. China Inf. Sci., 2017)

Interactive Levy Flight in Interest Space. - Fanqi Zeng; Li Gong; Jing Liu; Jiang Zhang 006; Qinghua Chen; Ruyue Xin (CoRR, 2017)

Complex Network Classification with Convolutional Neural Network. - Ruyue Xin; Jiang Zhang 006; Yitong Shao (CoRR, 2018)

A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data. - Zhang Zhang; Jing Liu; Shuo Wang 010; Ruyue Xin; Jiang Zhang 006 (CoRR, 2018)

Gumbel-Softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs. - Jing Liu; Fei Gao; Jiang Zhang 006 (COMPLEX NETWORKS (1), 2019)

Using Clickstream to Understand Learning Paths and the Network Structure of Learning Resources: Using MOOC as an Example. - Ming Gao; Jingjing Zhang; Di Sun; Jiang Zhang 006 (ICCE, 2019)

A general deep learning framework for network reconstruction and dynamics learning. - Zhang Zhang; Yi Zhao; Jing Liu; Shuo Wang 010; Ruyi Tao; Ruyue Xin; Jiang Zhang 006 (Appl. Netw. Sci., 2019)

Link Prediction via Graph Attention Network. - Weiwei Gu; Fei Gao; Xiaodan Lou; Jiang Zhang 006 (CoRR, 2019)

Unraveling environmental justice in ambient PM2.5 exposure in Beijing: A big data approach. - Yanyan Xu 002; Shan Jiang 004; Ruiqi Li; Jiang Zhang 006; Jinhua Zhao; Sofiane Abbar; Marta C. González (Comput. Environ. Urban Syst., 2019)

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting. - Shuo Wang 010; Yanran Li; Jiang Zhang 006; Qingye Meng; Lingwei Meng; Fei Gao (SIGSPATIAL/GIS, 2020)

Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network. - Mengyuan Chen; Jiang Zhang 006; Zhang Zhang; Lun Du; Qiao Hu; Shuo Wang 010; Jiaqi Zhu (CoRR, 2020)

Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs. - Yaoxin Li; Jing Liu; Guozheng Lin; Yueyuan Hou; Muyun Mou; Jiang Zhang 006 (CoRR, 2020)

An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data. - Lifei Wang; Rui Nie; Zeyang Yu; Ruyue Xin; Caihong Zheng; Zhang Zhang; Jiang Zhang 006; Jun Cai (Nat. Mach. Intell., 2020)

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. - Lun Du; Fei Gao; Xu Chen 022; Ran Jia; Junshan Wang; Jiang Zhang 006; Shi Han; Dongmei Zhang 001 (KDD, 2021)

The learning behaviours of dropouts in MOOCs: A collective attention network perspective. - Jingjing Zhang; Ming Gao; Jiang Zhang 006 (Comput. Educ., 2021)

Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network. - Weiwei Gu; Fei Gao; Ruiqi Li; Jiang Zhang 006 (J. Soc. Comput., 2021)

Neural Enhanced Dynamic Message Passing. - Fei Gao; Jiang Zhang 006; Yan Zhang 117 (AISTATS, 2022)

scCapsNet-mask: an updated version of scCapsNet with extended applicability in functional analysis related to scRNA-seq data. - Lifei Wang; Rui Nie; Jiang Zhang 006; Jun Cai (BMC Bioinform., 2022)

NEDMP: Neural Enhanced Dynamic Message Passing. - Fei Gao; Yan Zhang 117; Jiang Zhang 006 (CoRR, 2022)

Inferring Network Structure with Unobservable Nodes from Time Series Data. - Mengyuan Chen; Yan Zhang 117; Zhang Zhang; Lun Du; Jiang Zhang 006 (CoRR, 2022)

Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions. - Jing Xu; Shuo Wang 010; Na Ying; Xiao Xiao; Jiang Zhang 006; Yun Cheng; Zhiling Jin; Gangfeng Zhang (CoRR, 2023)

Neural Information Squeezer for Causal Emergence. - Jiang Zhang 006; Kaiwei Liu (Entropy, 2023)

Correction: Zhang, J.; Liu, K. Neural Information Squeezer for Causal Emergence. Entropy 2023, 25, 26. - Jiang Zhang 006; Kaiwei Liu (Entropy, 2023)

Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. - Bing Yuan; Jiang Zhang 006; Aobo Lyu; Jiayun Wu; Zhipeng Wang; Mingzhe Yang; Kaiwei Liu; Muyun Mou; Peng Cui 001 (Entropy, 2024)

An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems. - Kaiwei Liu; Bing Yuan; Jiang Zhang 006 (Entropy, 2024)

InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation. - Lifei Wang; Rui Nie; Xuexia Miao; Yankai Cai; Anqi Wang; Hanwen Zhang; Jiang Zhang 006; Jun Cai (BMC Bioinform., 2024)

LLM-powered Heterogeneous Information Network Analytics. - Hao Chen; Lun Du; Xu Chen 022; Xiaojun Ma; Jiang Zhang 006 (WWW (Companion Volume), 2025)