2024/03: Honored to receive the UVA Engineering Research Innovation Awards (RIA) as PI on the project of "Toward 3D Graph Foundation Models for Molecular Property Prediction".
2023/11: Glad to receive a Snap gift funding on "Inductive Recommendation on Large-scale Social Networks".
2023/10: One paper on Robustness in Unsupervised Graph Representation Learning is accepted by IEEE TKDE.
2023/10: One paper is accepted by EMNLP 2023 Findings. Congratulations to Song!.
2023/10: Released a comprehensive survey paper on "Knowledge Editing in Large Language Model". Please check it out!
2023/10: Congratulations to my Ph.D. student Song Wang for receiving the UVA Engineering School 2023-24 Endowed Graduate Fellowship.
2023/09: Two papers are accepted by ACM TKDD.
2023/08: One paper on Unsupervised Feature Selection is accepted by IEEE TPAMI.
2023/08: One paper on Graph Masked Autoencoder is accepted by CIKM 2023.
2023/08: Starting to serve as an Associate Editor for the ACM TKDD Journal.
2023/08: Glad to receive a Commonwealth Cyber Initiative grant "Weakly-supervised Federated Graph Learning for Cyber-Physical Systems" as PI.
2023/08: Glad to receive a DOE/Jefferson Lab grant on "Graph Learning for Efficient and Explainable Operation of Particle Accelerators" with collaborators from Jefferson Lab.
2023/07: Glad to receive a 4-VA Collaborative Research Grant as Co-PI.
2023/07: One paper on Fair Few-shot Learning is accepted by ECAI 2023.
2023/07: One paper on Fair Graph Learning is accepted by SIGKDD Explorations.
2023/07: One paper on Collaborative Graph Neural Network is accepted by TKDE.
2023/06: One paper on Graph Few-shot Learning is accepted by Transactions on Machine Learning Research (TMLR).
2023/06: One survey paper on Self-supervised Learning for Recommender Systems is accepted by TKDE.
2023/05: Invited to serve as the Doctoral Forum Co-Chair of SDM 2024.
2023/05: One tutorial on "Fairness in Graph Machine Learning" is accepted by KDD 2023. Congratulations to my Ph.D. student Yushun Dong.
2023/05: One paper is accepted by ACL 2023. Congratulations to my new Ph.D. student Zhenyu Lei.
2023/05: Honored to receive the PAKDD 2023 Early Career Research Award!
2023/05: Congratulations to my Ph.D. student Jing Ma for succesfully defending her dissertation! She will join the Case Western Reserve University as a Tenure-track Assistant Professor from Fall 2023.
2023/05: Congratulations to my Ph.D. student Jing Ma for receiving the CS Department John A. Stankovic Graduate Research Award.
2023/04: Congratulations to my Ph.D. student Yushun Dong for receiving the ECE Department Louis T Rader Graduate Research Award (one of the only two awardees).
2023/04: Congratulations to my Ph.D. student Song Wang for receiving the ECE Department Ann Lee Brown Rookie of the Year Graduate Research Award (only one awardee).
2023/04: We will organize the first workshop on resource-efficient learning at KDD 2023.
2023/04: Our paper is accepted by SIGIR 2023. Congratulations to my Ph.D. student Yushun.
2023/04: Our survey paper on Fairness in Graph Mining is accepted by TKDE. Congratulations to my Ph.D. students Yushun Dong, Jing Ma, and Song Wang.
2023/03: Honored to receive the UVA Engineering Research Innovation Awards (RIA) as Co-PI.
2023/03: One paper is accepted by ICHI 2023. Congratulations to my Ph.D. student Xingbo Fu.
2022/12: One paper is accepted by The Web Conference 2023.
2022/12: One paper is accepted by SDM 2023. Congratulations to my Ph.D. student Yushun Dong.
2022/12: Honored to recieve the Commonwealth Cyber Initiative grant "Attacking and Securing Algorithmic Fairness in Human Machine Interactions: A Cross-Disciplinary Framework" as PI.
2022/11: One paper is accepted for a spotlight presentation by the inaugural Learning on Graphs Conference (LOG). Congratulations to my student Ph.D. Song Wang.
2022/11: One paper is accepted by AAAI 2023. Congratulations to my Ph.D. student Yushun Dong.
2022/11: Congratulations to my Ph.D. students Jing Ma and Yushun Dong for receiving the UVA Engineering School 2022-23 Endowed Graduate Fellowship.
2022/10: One paper is accepted by WSDM 2023. Congratulations to my Ph.D. student Song Wang.
2022/09: We will organize a tutorial on "Machine Learning for Causal Inference" at AAAI 2023.
2022/09: One survey paper on Federated Graph Machine Learning is accepted by SIGKDD Explorations. Congratulations to my Ph.D. student Xingbo Fu.
2022/09: Our group has two papers accepted by NeurIPS 2022 main track. Congratulations to my Ph.D. students Jing Ma and Song Wang.
2022/09: Two papers are accepted by NeurIPS 2022 Datasets and Benchmarks Track.
2022/08: Our paper "Learning Causal Effects on Hypergraphs" won the KDD 2022 Best Research Paper Award. Congratulations to my Ph.D. student Jing Ma
2022/08: Honored to recieve the NSF IIS Core grant "Collaborative Research: III: Small: Graph-Oriented Usable Interpretation" as the UVA PI.
2022/08: Honored to recieve the NSF SAI grant "Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water" as the UVA PI.
2022/08: Honored to recieve the Commonwealth Cyber Initiative grant "Enhancing the Cyber-Physical Security of Power Grid with Graph Machine Learning" as the PI.
2022/09: We will organize a tutorial on "Toward Graph Minimally-Supervised Learning" at SDM 2023.
2022/08: We will organize a tutorial "Fairness in Graph Mining: Metrics, Algorithms, and Applications" at ICDM 2022.
2022/07: An invited article is accepted by AI Magazine.
2022/07: Honored to receive the JP Morgan Chase Faculty Research Award for "Counterfactual Graph Generation for Explaining Financial Decisions".
2022/06: One paper is accepted by ECMLPKDD 2022.
2022/05: Honored to recieve the NSF SaTC grant "SaTC: CORE: Small: Empowering Network Attack Detection with Complex Graph Modeling" as Co-PI.
2022/05: Five papers are accepted by KDD 2022 Research Track. Congratulations to my students Yushun, Jing, Song, and Weihao.
2022/05: Honored to receive the UVA ECE Department 2022 Faculty Research Award.
2022/04: Honored to receive the 4-VA Collaborative Research Grant as PI for "Graph-based Cyber Attack Detection and Mitigation in Power Grids".
2022/04: We released a comprehensive survey on "Fairness in Graph Mining". Please check it out.
2022/04: One paper is accepted by IJCAI 2022. Congratulations to my student Song.
2022/04: Honored to recieve the NSF CAREER Award as PI for "CAREER: Toward A Knowledge-Guided Framework for Personalized Decision Making".
2022/04: One paper is accepted by IJCAI 2022 Survey Track.
2022/04: One paper is accepted by NAACL 2022.
2022/04: One short paper is accepted by SIGIR 2022. Congratulations to my student Zheng.
2022/01: Four papers are accepted by The Web Conference (WWW) 2022. Congratulations to my students Yushun and Jing.
2022/01: One paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
2022/01: One paper is accepted by ACM Transactions on Intelligent Systems and Technology (TIST).
2021/10: One paper on graph counterfactual fairness is accepted by WSDM 2022. Congratulations to my student Jing.
2021/08: I am serving as the Managing Editor of ACM Transactions on Intelligent Systems and Technology (TIST).
2021/08: One journal paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
2021/08: Six papers are accepted by CIKM 2021. Congratulations to my students Yushun and Song.
2021/07: Received the Cisco Faculty Research Award for "From Macro to Micro: Fairness-Aware Graph Neural Networks".
2021/06: Received the JP Morgan Chase Faculty Research Award for "Accountable Causal Inference for Financial Applications" .
2021/05: Two papers are accepted by KDD 2021 Research Track. Congratulations to my student Yushun for his first paper in my group.
2021/05: One tutorial on "Data Efficient Learning on Graphs" is accepted by KDD 2021.
2021/05: One paper on "Line Graph Neural Network" is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
2021/04: One paper on "Multi-Cause Causal Effects Estimation" is accepted by IJCAI 2021.
2021/04: Awarded an Undegraduate Supplement Award from UVA GIDI as PI to support undergraduate research ($10,000, 5/1/2021 - 04/30/2021).
2021/04: Awarded UVA 3Cavaliers Seed Grant for the project “Understanding Causality in Complex Systems via Network Guided Causal Inference” as PI ($60,000, 5/1/2021 - 10/30/2022).
2021/03: One patent granted, “Systems and methods for unsupervised streaming feature selection in social media”, US Patent 10,942,939; Date of Patent: 2021-03-09
2021/02: Selected for the AAAI 2021 New Faculty Highlights Program.
2021/02: Invited to serve on the editorial board of Social Network Analysis and Mining (SNAM).
2021/01: One conference paper is accepted by The Web Conference, 2021.
2021/01: Co-organized 1st Workshop on AI for Anomalies and Novelties, co-located with IJCAI-PRICAI 2020.
2021/01: One journal paper is accepted by Information Sciences.
2021/01: One journal paper is accepted by IEEE Intelligent Systems.
2020/10: One journal paper is accepted by IEEE TKDE.
2020/10: Two papers are accepted by WSDM 2021. Congratulations to my student Jing for her first paper in my group.
2020/10: One full paper is accepted by ASONAM 2020.
2020/08: One full paper is accepted by EMNLP 2020.
2020/08: One survey paper is accepted by Information Sciences.
2020/08: Invited to serve as a Senior PC member of IJCAI 2021.
2020/08: Awarded a research grant from NSF for the project “III: Small: Collaborative Research: Demystifying Deep Learning on Graphs: From Basic Operations to Applications” as lead PI.
2020/08: Teaching ECE 6501/CS 6501 Convex Optimization for Engineering & Data Science the coming 2020 Fall Semester.
2020/08: One journal paper is accepted by KAIS.
2020/08: Invited to serve as a Senior PC member of IJCAI 2021.
2020/08: One journal paper is accepted by IEEE TKDE.
2020/07: Our feature selection survey paper is listed as the most cited paper of ACM CSUR within the past 5 years.
2020/07: Normee by the Dean of Graduate College at ASU for the CGS/ProQuest Distinguished Dissertation Award.
2020/07: Invited to serve as a PC member of WSDM 2021, SDM 2021, and the Web Conference 2021.
2020/07: Two conference papers are accepted by CIKM 2020.
2020/05: Awarded UVA Eng-in-Med Faculty Fellow.
2020/05: Awarded COVID-19 Rapid Response Grant from UVA GIDI for the project “Quantifying the Impact of Data Sharing on Outbreak Dynamics” as PI.
2020/05: One journal paper is accepted by ECMLPKDD 2020 Journal Track.
2020/05: One journal paper is accepted by Neurocomputing.
2020/05: One journal paper is accepted by International Journal of Medical Informatics.
2020/04: One journal paper is accepted by ACM CSUR.
2020/04: Two conference papers are accepted by IJCAI 2020.
2020/04: One journal paper is accepted by IEEE TKDE.
2020/03: Invited to serve as a PC member of NeurIPS 2020, ECMLPKDD 2020, IEEE BigData 2020.
2020/02: Invited to serve as a PC member of CIKM 2020, ICWSM 2020.
2020/02: One conference paper is accepted by DASFAA 2020.
2020/01: Invited to serve as a PC member of KDD 2020, SIGIR 2020, and ASONAM 2020.
2019/12: One conference paper is accepted by SDM 2020.
2019/12: Invited to serve as a senior PC member of WebSci 2020.
2019/11: Invited to serve as a PC member of ICML 2020.
2019/11: One conference paper is accepted by AAAI 2020.
2019/10: Won 2019 INFORMS QSR Best Student Paper Finalist and Best Refereed Paper Finalist.
2019/10: Invited to serve as a Senior PC member of IJCAI 2020.
2019/10: One conference paper is accepted by WSDM 2020.
2019/08: One conference paper is accepted by ICDM 2019.
2019/08: One conference short paper is accepted by CIKM 2019.
2019/08: Invited to serve as a PC member of ICLR 2020.
2019/08: Invited to serve as a PC member of The Web Conference 2020.
2019/08: Invited to serve as a PC member of AAAI 2020.
2019/07: Our conference paper is accepted by IEEE VIS 2019 and IEEE TVCG.
2019/06: Invited to serve as a PC member of WSDM 2020.
2019/06: Invited to serve as Sponsor Chair of WSDM 2020.
2019/06: Successfully defended my Ph.D. dissertation