I am grateful for receiving AWS Machine Learning Research Award!

Thrilled to receive Cisco Faculty Research Award from Cisco System Inc.

Our systematic survey paper on explanation-guided learning is available online.

Our paper on "Unsupervised Deep Subgraph Anomaly Detection" received Best Paper Award at 22nd International Conference on Data Mining (ICDM 2022)!

Our paper on GNN for spatial interpolation first-authored by undergraduate student Minxing Zhang received Best Poster Runner-Up Award at ACM SIGSPATIAL 2022! Congratulations to the team.

Our survey paper on deep graph generation is published at TPAMI!

Our paper on deep trajectory generation is a Best Paper Candidate (4/160) at ACM SIGSPATIAL 2022!

Our Tutorial on Graph Neural Networks has been accepted in AAAI 2023, see you in Washington, DC in Feb 2023!

Excited to receive Meta Research Award with Yue Cheng from UVA!

Two papers are accepted in NeurIPS 2022 on periodic graph generation and controllable data generation.

Two papers are accepted in SIGSPATIAL 2022 on trajectory generation and spatial data fusion.

Three papers are accepted in ICDM 2022 on three existing topics: spatial domain generalization, explanation supervision, and analogical reasoning.

Our systematic survey paper on controllable data generation is available online.

Welcome to attend our KDD 2022 and IJCAI 2022 tutorials on Graph Neural Networks, and visit our website for materials.

Our GraphGT Data Repository is online, with 30+ datasets&APIs for graph generation in machine learning!

Three papers are accepted in KDD 2022 on three exciting areas: explanation supervision, graph inverse problems, and saliency-regularized multitask learning.

Our new book Graph Neural Network: Foundations, Frontiers, and Applications (689 pages, ISBN-10: 9811660530, Springer) is published. You can also access various resources about it in our book website.

Our paper "Deep Graph Translation" is accepted in TNNLS.

Our paper on Heterogeneous Graph Generation is selected as Best Paper Candidate at ICDM 2021!

Three papers are accepted in AAAI 2022.

Two papers are accepted in NeurIPS 2021.

Two papers are accepted in ICDM 2021 on the topics of "heterogeneous graph generation" and "interactive learning for model interpretation".

Our paper on neuro-inspired machine learning has been accepted by Neural Networks.

I have been elevated to IEEE Senior Member.

Dr. Yun Li is named a 2021 Computing Innovation Fellow by CRA and CCC with me as the mentor.

Our EPIDE website is released: A large data repository for event prediction based on my CSUR paper.

Our paper on disentangled representation learning won the Best Paper Award Shortlist in WWW 2021!

Congratulations to Xiaojie Guo on her Ph.D. graduation and her new position in JD.COM as research scientist.

Our paper "Deep Graph Transformation for Attributed, Directed, and Signed Networks" has been accepted by Knowledge and Information Systems as Bests of ICDM!

My work "Event Prediction in the Big Data Era: A Systematic Survey" has been accepted by ACM Computing Surveys (IF: 7.990)!

Two papers are accepted in WWW 2021: one is for temporal graph deep generative models, the other is on disentangled representation learning for COVID-19 analysis.

A paper on "Property Controllable Variational Autoencoder via Invertible Mutual Dependence" has been accepted in ICLR 2021.

A paper on "Deep Graph Spectral Evolution Networks for Graph Topological Evolution" has been accepted in AAAI 2021.

A paper on "Disentangled Dynamic Graph Deep Generation" has been accepted in SDM 2021.

Our COVID-19 online monitoring system is online! Welcome to check our paper Taking the pulse of COVID-19: a spatiotemporal perspective and Geospatial COVID-19 dataset recently published.

Two papers on Model-parallelism Deep Learning and Heterogeneous Graph Neural Networks are accepted in ICDM 2020.

I am grateful for receiving a research grant ($498K) from NSF on the project III: Small: Deep Generative Models for Temporal Graph Generation and Interpretation.

Our survey paper "Event Prediction in the Big Data Era: A Systematic Survey" is online now!

Our Comprehensive Survey on Deep Generative Models for Graph Generation is online now!

I am grateful for receiving a research grant ($499K) from NSF on the project "DeepJIMU: Model-Parallelism Infrastructure for Large-scale Deep Learning by Gradient-Free Optimization"!

I am grateful for receiving a research grant ($510K) from Knowledge Design Company on the project "Secure Model and Learning protected Hardware Design"!

My student Qingzhe Li has passed his final defense. Congratulations, Dr. Li!

I am honored to receive NSF CAREER Award ($554K) on "Spatial Network Deep Generative Modeling, Transformation, and Interpretation".

KDD paper got accepted and reported in news media.

I am the Publicity Chair of ACM SIGSPATIAL 2020. Look forward to your submissions and attendance!

I am the Co-Chair of DeepSpatial 2020, an ACM SIGKDD 2020 Workshop on "Deep Learning for Spatiotemporal Data, Applications, and Systems". Look forward to your submissions and attendance!

I am the Co-Editor of the Special Issue of Representation Learning for Graph Mining and Generation in Frontiers in Big Data. Welcome your submissions!

I am the Co-Editor of the Special Issue of Deep Learning for Molecular Structure Modelling in Molecules (Impact Factor: 3.060). Welcome your submissions!

Survey, code, and datasets are available on the domain of "Deep Graph Generation and Transformation".

Survey, code, and datasets are available on the domain of "Spatial and Temporal Event Prediction".

Survey, code, and datasets are available on the domain of "Social Media Mining". 

Survey, code, and datasets are available on the domain of "Gradient-free Optimization for Deep Neural Networks".

One paper is accepted at IEEE Transactions on Information Forensics and Security.

Students Xiaojie Guo, Yuyang Gao, and Junxiang Wang will go for research-track internship at IBM Research, Microsoft Research, and NEC Lab in Summer 2020, respectively.

One paper is accepted at TKDE.

One paper is accepted at AAAI 2020.

Two papers are accepted in DATE 2020. 

Grateful to receive Best Paper Award at ICDM 2019 for our paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution". 

One paper is accepted in ACM SIGSPATIAL 2019.

Three papers are accepted in ICDM 2019, papers and code will be available soon.

Two papers are accepted in CIKM 2019, papers and code will be available soon.

The code of our KDD 2019 paper is available. Welcome to use and let us know if there is any question.

The website of our KDD 2019 tutorial on "Spatiotemporal Societal Event Forecasting and Precusor Learning" is here. Welcome!

I am the Co-chair of IEEE ICDM 2019 Workshop of DeepSpatial 2019 on Deep Learning for Spatiotemporal Data, Algorithms, and Sytems. Welcome!

I am the Co-chair of ACM SIGSPATIAL 2019 Workshop of GeoAI 2019. Welcome!

I am the Co-chair of IEEE Big Data 2019 Workshop of DGLMA 2019 on Deep Graph Learning: Methodologies and Applications, the CFP is here. Welcome!

The code of our papers of TKDD, IJCAI 2019, and AAAI 2019 has been uploaded. Welcome to use!

One paper on spatial network inference for spatial autoregressive has been accepted by TSAS.

Three papers are accepted in IJCAI 2019, papers and code will be available soon.

Three papers are accepted in KDD 2019, papers and code will be available soon.

One paper on Deep learning for spatial contact network has been accepted by Geoinformatica.

One paper on Cost-efficient HPC has been accepted by ICPP 2019 

Our Tutorial on "Spatiotemporal Societal Event Forecasting and Precusor Learning" in KDD 2019 is accepted, materials will be available soon.

Our Tutorial on "Big Data Analytics for Societal Event Forecasting" in IEEE International Conference on Big Data 2018.

Call for papers for 2nd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News (LENS 2018). Deadline: September 12, 2018. Welcome submissions and participations!