[2021.09] Our four papers got accepted by NeurIPS 2021. Three of them were under my supervision-- FedSage (subgraph-level federated learning), GCFL (graph-level federated learning) and EGI (GNN transferability). FedSage was selected for a spotlight presentation (3%). Great work, team!
[2021.04] Our three papers on graph neural networks (secure graph generation, embedding dimension selection and robust neighborhood aggregation) have been accepted by IJCAI 2021.
[2021.01] Haonan Wang got a paper on gradient item retrieval accepted by WWW 2021 during his internship in Alibaba. Congratulations!
[2020.12] Our survey and benchmark paper on heterogeneous network representation learning has been accepted by IEEE TKDE. All code and data are available at https://github.com/yangji9181/HNE.
[2020.10] We are honored to receive the Best Paper Award from ICDM 2020! (1 out from 930 submissions and 91 acceptances)
[2020.10] Congratulations to Wenjie and Yuanzhen for getting our two papers on evolutionary graph prediction and dynamic network embedding accepted by WSDM 2021 (AR 18.6%).
[2020.10] Congratulations to Yanchao for getting our work on multi-facet recommendation with spherical embedding accepted by ICDE 2021 (full paper research track first round).
[2020.08] Two regular long papers on taxonomy-aware network embedding and text-rich network community detection have been accepted by ICDM 2020 (9.8%). One step closer towards PhD graduation :).
[2020.05] Our work in collaboration with researchers in Pinterest and Stanford on web-scale contextualized graph neural networks has been accepted by KDD 2020 ADS track (oral 5.8%).
[2020.05] Our work in collaboration with researchers in UIUC and POSTECH (South Korea) on differentiable multi-aspect network embedding has been accepted by KDD 2020 Research track.
[2020.05] I am honored to receive the UIUC 2020 Doctoral Dissertation Completion Fellowship ($20,000), which is awarded to 20 candidates (from 20 departments) out from 74 nominations (from 48 departments) across the whole university.
[2020.05] I will be joining Emory University Dept. of Computer Science as a tenure-track Assistant Professor in September this year. Cor prudentis possidebit scientiam!
[2020.04] I am visiting University of Oxford and collaborating with Prof. Thomas Lukasiewicz and his team on structured information extraction from multi-media data this summer.
[2020.04] Our pioneering work on neural end-to-end text-to-graph generation has been accepted by SIGIR 2020.
[2020.04] My collaboration with researchers in Sun Yat-sen University on adversarial perturbation in discrete data has led to a full paper accepted by SIGIR 2020.
[2020.04] My work with students in UIUC on GNN aggregation mechanisms has been accepted by IJCAI 2020. Congratulations to the authors!
[2020.03] Our survey and benchmark project towards heterogeneous network representation learning has been released on arXiv and GitHub.
[2020.02] I will deliver research talks in Emory University, University of Florida and University of Sydney.
[2020.01] I am visiting my alma mater, Zhejiang University, for the first time after my graduation five years ago.
[2019.11] I will deliver research talks in Northwestern University, Simon Fraser University, and University of British Columbia.
[2019.10] Our collaboration with LinkedIn Economic Graph Research has led to another paper accepted by WSDM 2020 (after CIKM 2019).
[2019.09] I am invited to attend and give a talk in the Great Lakes Workshop on Data Science.
[2019.09] My work with students in UIUC on conditional graph generation has been accepted by NeurIPS 2019.
[2019.08] My two new leading research papers on context-rich network construction have been accepted by CIKM 2019 and ICDM 2019.
[2019.07] The Han Family will get together in San Francisco. Happy birthday Prof Han!
[2019.06] Our demo about Cube Networks has been accepted by KDD 2019.
[2019.05] I am working in Pinterest Lab this summer with the Applied Science team led by Prof. Jure Leskovec.