News
September 2025. Our paper "One Prompt Fits All: Universal Graph Adaptation for Pretrained Models" was accepted to NeurIPS 2025 (acceptance rate 24.52%)!
January 2025. Our paper "Dual Enhanced Meta-learning with Adaptive Task Scheduler for Cold-Start Recommendation" was accepted to Transactions on Knowledge and Data Engineering (Impact Factor 8.9)!
December 2024. Our paper "Does GCL Really Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling" was accepted to AAAI 2025 (acceptance rate 23.4%)!
September 2024. Our paper "M-Graphormer: Multi-channel Graph Transformer for Node Representation Learning" was accepted to IEEE Transactions on Big Data (Impact Factor 7.5)!
April 2024. Our paper "LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling both Homophily and Heterophily" was accepted to IJCAI 2024!
March 2024. Our paper "Smart Data Augmentation: One Equation is All You Need" was accepted to Journal of Statistical Analysis and Data Mining!
December 2023. Our paper "A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning" was accepted to AAAI 2024 (acceptance rate 23.75%)!
April 2023. Our paper "Contrastive Learning Meets Homophily: Two Birds with One Stone" was accepted to ICML 2023 (acceptance rate 27.9%)!
November 2022. Our paper "Trafformer: Unify Time and Space in Traffic" was accepted to AAAI 2023 (acceptance rate 19.6%)!
August 2022. Our paper "CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks" is now on arXiv!
April 2022. Our paper "Amer: A New Attribute-Missing Network Embedding Approach" was accepted to IEEE Transactions on Cybernetics (Impact Factor 11.448)!
March 2022. I (together with Dr. Yan Ma) will be giving a talk at NIH in June!
February 2022. Our paper "Utilization of Machine Learning Methods for Predicting Surgical Outcomes after Total Knee Arthroplasty" was accepted to PLOS ONE (Impact Factor 3.752)!
January 2022. Our paper "Graph Neural Network for Higher-Order Dependency Networks" was accepted to the Web Conference 2022 (acceptance rate 17.7%)!
January 2022. Our paper "Inflation Improves Graph Learning" was accepted to the Web Conference 2022 (acceptance rate 17.7%)!
December 2021. Our paper "A Tutorial on Generative Adversarial Networks with Application to Classification of Imbalanced Data" was accepted to Journal of Statistical Analysis and Data Mining (Impact Factor 1.051)!
November 2021. Our paper "Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily" was accepted to AAAI 2022 (acceptance rate 15%)!
November 2021. Our paper "Identification of Communities with Multi-Semantics via Bayesian Generative Model" was accepted to IEEE Transactions on Big Data (Impact Factor 3.344)!
August 2021. Our paper "A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph with Attention Mechanism" was accepted to IEEE Transactions on Big Data (Impact Factor 3.344)!
July 2021. Our paper "Adversarial Representation Mechanism Learning for Network Embedding" was accepted to IEEE Transactions on Knowledge and Data Engineering (Impact Factor 6.977)!
June 2021. Our paper "A Network Embedding-Enhanced Bayesian Model for Generalized Community Detection in Complex Networks" was accepted to Information Sciences (Impact Factor 5.910)!
April 2021. Our paper "Self-Guided Community Detection on Networks with Missing Edges" was accepted to IJCAI 2021 (acceptance rate 13.9%)!
Feb 2021. Our paper "A Tibetan Language Model that Considers the Relationship Between Suffixes and Functional Words" was accepted to IEEE Signal Processing Letters!
Sep 2020. I (together with Dr. Yan Ma) gave a remote talk in the Institute for Healthcare Delivery Science Weekly Series at Icahn School of Medicine at Mount Sinai.
Aug 2020. Our paper "NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks" was accepted to ICDM 2020 (acceptance rate 19.7%)!
Apr 2020. Our paper "Adversarial Mutual Information Learning for Network Embedding" was accepted to IJCAI-PRICAI 2020 (acceptance rate 12.6%)!
Apr 2020. I received the University Facilitating Fund in the amount of $16,750 for the 2020-2021 academic year! Thanks GW!
Feb 2020. I started serving as a Co-Investigator of a $1 million dollar R01 grant from NIH!
Jan 2020. Our paper "Improving Classification Accuracy by Mining Deterministic and Frequent Rules" was accepted to FLAIRS 2020!
Nov 2019. I gave a talk in the SEH WoWTALK Seminar Series at GW.
May 2019. Our paper "An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph" was accepted to IJCAI 2019 (acceptance rate 14%)!
May 2019. I gave a talk in the Joint GW - CNHS Informatics Seminar Series.
May 2019. I gave a talk in the Spring 2019 Conference on Applied Mathematics at GW.
Apr 2019. I served as a judge in the Research Day at GW.
Jan 2019. Our paper "A Novel Generative Topic Embedding Model by Introducing Network Communities" was accepted to the Web Conference 2019 (acceptance rate 20%)!
Aug 2017. I joined George Washington University as an Assistant Professor of Data Science! Many thanks to the colleagues in the CS department at Rochester Institute of Technology!
Sep 2016. I joined the CS department at Rochester Institute of Technology as a Visiting Lecturer! Many thanks to the colleagues in the Health + AI Lab at Stevens Institute of Technology!
