News
Research updates, student achievements, and community activities.
Our collaborative project, “AI-Enhanced Processing of HabCam Imagery to Improve Atlantic Sea Scallop Survey Products for Stock Assessment,” has received a $1,713,701 award through the NOAA Sea Scallop Research Set-Aside Program. Kudos to lead PI Ming Sun (VIMS)!
I will serve as a Workshop Co-Chair for PAKDD 2027.
Our proposal for the 2nd Streaming Continual Learning Bridge has been accepted into the Bridge Program at the Forty-First AAAI Conference on Artificial Intelligence (AAAI-27).
I have been appointed Director of Research Engagement & Outreach in the Department of Data Science at William & Mary.
Our paper “Physics-Refined Spatiotemporal Forecasting on Open-Boundary Hydrologic Graphs” has received the ICDM 2026 Best Paper Award (research track).
I have been elevated to IEEE Senior Member.
Three papers have been accepted at NeurIPS 2026: “VTV-FM: Flow Matching through Variational Terminal-Velocity Closure,” “Graph Learning from Label Proportions using Topology-Aware Pseudo Labeling and Aggregation,” and “ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction.” Congratulations to all co-authors!
Our paper “Augmentation with Reinforcement Transformation for Low-textured Scientific Sketch Image Retrieval” has been accepted by IEEE BigData 2026. Congratulations to all co-authors!
Our paper “U-Net-Guided Detection and Measurement of Growth Bands in Atlantic Surfclam Shell Images” has been accepted at the IEEE BigData 2026 High School Symposium. Congratulations to first author Sophia Sultan, a high school researcher at The Potomac School, on this achievement! Supporting students’ first research experiences is an important part of my K–12 mentoring.
Two papers have been accepted by IEEE ICDM 2026: “Physics-Refined Spatiotemporal Forecasting on Open-Boundary Hydrologic Graphs” and “An ensemble-based network architecture search framework for 3D dose prediction in radiotherapy”. Congratulations to all co-authors!
I am honored to receive an NSF CAREER Award for the project "Harnessing Graph Dynamics for Learning in Changing Environments". My sincere thanks to the National Science Foundation (NSF) and its Division of Information and Intelligent Systems (IIS) for supporting our research on dynamic graph learning and physics-informed online prediction for changing scientific and engineering systems.
One paper on differentiable online decision trees with learned surrogate splits for varying feature spaces has been accepted by SDM'26.
I will serve as Associate Editor for Journal of Data, Information and Management.
Congratulations to my undergraduate mentee, Zahra Rizvi, on receiving both the Virginia Space Grant Consortium (VSGC) Undergraduate Research Scholarship and a Charles Center Summer Research Grant sponsored by the Schroeder Center for Health Policy.
Two papers have been accepted by KDD'26. One on multimodal entity alignment for LLMs and the other on online learning with delayed feedback. Congrats to all co-authors!
I will serve as Doctoral Forum Co-Chair for IEEE BIBM 2026.
I will serve as Proceedings Co-Chair for IEEE BigData 2026.
One student poster on geospatial cancer disparity analysis has been accepted by the National Conference on Undergraduate Research. Congrats to Zahra Rizvi -- Amazing work as an undergraduate researcher!
Two papers on spatiotemporal data recovery using Federated Latent Factor Analysis and Hash Factor Learning have been accepted by WWW'26 and IEEE T.PAMI, respectively. Congratulations to the co-authors!
Two papers on Text-to-SQL using RAG and Multimodal Entity Alignment in KGs have been accepted by SIGMOD'26 and KDD'26, respectively. Congratulations to the co-authors!
One paper using interpretable deep neural-nets for manatee tracking at individual level has been accepted by IEEE Access. Congratulations to the co-authors!
Two papers have been accepted by AAAI'26, and one survey has been accepted by TMLR. Congratulations to the co-authors!
Two papers on large-scale graph ensemble learning and knowledge graph link prediction have been accepted by ICDM'25.
Two papers on streaming data analytics have been accepted by IEEE TKDE and ACM TKDD.
One prospectus has been accepted by KDD PhD Consortium 2025. Congrats to Heng Lian!
Our experiential learning project on applied AI safety in marine ecological models has been funded by CCI. Thanks to CCI for supporting this education-prioritized AI research!
One paper on physics-informed graph learning has been accepted by ICML'25.
Three papers on graph ensemble learning, online learning, and graphRAG have been accepted by IJCAI'25.
One paper on dynamic graphRAG have been accepted by ACL'25.
Proceedings of the 2024 IEEE International Conference on Data Mining Workshops (ICDMW) have been released.
Our project on benchmarking and mitigating social biases in LLMs has been funded by CCI. Thanks to CCI for the support!
One paper on continual learning fair classifier has been accepted by AAAI'25.
Our project using AI for benthic environment analysis has been funded by SCeMFiS, an NSF Industry/University Cooperative Research Center (I/UCRC). Thanks to SCeMFiS for the support!
One paper on label distribution learning on heterogeneous graphs has been accepted by NeurIPS'24.
One paper on mining open-world soft-sensing streams has been accepted by ICDM'24.
I receive the NSF PACSP grant as the PI (WM link). Thanks to National Science Foundation (NSF) and Paul G. Allen Family Foundation for the support on our AI-driven conservation research! NSF News
I serve as the NSF Travel Award Chair for IEEE ICDM'24 (link). Thanks to NSF for the generous support to students and early-career researchers in data mining!
One paper on group fairness in streaming feature analysis has been accepted by IEEE SMC'24.
One paper on multi-type load forecasting has been accepted by Energy.
One paper on machine learning-based gradual typing has been accepted by ECOOP'24.
Two papers on knowledge graph-based medical AI and graph label distribution learning have been accepted by AAAI'24.
One paper on sparse online learning has been accepted by SDM'24.
One paper on spatio-temporal signal recovery has been accepted by TNNLS.
One paper on knowledge graph-based POI recommendation has been accepted by ICDM'23.
One paper on VAE-based online algorithm for open feature space has been accepted by TKDE.
I receive the NSF CORE grant as the Lead PI (ODU link, FAU link). Thanks to National Science Foundation (NSF) for the support on our open-world streaming graph research!
I receive the NSF CRII award (link). Thanks to NSF for the support on the explainable data stream analytic research!
One paper gets accepted by ECML-PKDD'23 .
I serve on the NSF CISE panel.
Our survey on online learning in open feature spaces gets accepted by IJCAI'23 .
I serve as the Workshop Co-Chair for ICDM'23 (update: ICDMW-23 proceedings have been released).
I receive the SRFP award. Thanks to ODU for the support!
I receive the CCI grant as PI (media). Thanks to COVA CCI for the support!
I receive the Volunteer Award from the IEEE Technical Community on Intelligent Informatics (TCII) . Looking forward to serving the community more!
Two papers on open online algorithms get accepted by AAAI'23 .
Two papers get accepted by IEEE UIC'22 (170/694 = 24.5%), both investigated the robustness of deep factorization machines. One mitigates the train-test bias of sparse matrices, the other reinforces resilience to outlier entries.
A novel generative model for streaming feature online learning has been accepted by ACM MM'22 . Congratulations to Heng! Excellent job for a first-year PhD student.
I will be chairing the Multifarious Multimedia session in ICMR'22. Please join us on June 30th, 10:30 am, at Central King Building. Looking forward to meeting you at NJIT!
A new metric-learning based regularizer for stochastic matrix factorization has been accepted by IEEE Transactions on Services Computing .
A new graph algorithm for cyber risk quantification in distributed Cyber-Physical Systems has been accepted by IEEE Transactions on Industrial Informatics.
One paper on generative adversarial attack on GNN models has been accepted by ICMR'22.
I will be serving as PC members for ECML-PKDD 2022 and CIKM 2022.
I serve as the Registration Chair of ICDM-2022.
A new hyper-parameter auto-tuning method for "deep" recommender systems has been accepted by DASFAA-2022 .
I receive the Faculty Innovator Grant as Co-PI. Kudos to PI Xiao Yang (Psychology).
I will be serving as a member of the program committee of IJCAI-ECAI 22.
A new neural-architecture search (NAS) method that can work under a federated and privacy-preserving context has been accepted by IEEE T.KDE.
A new web service recommender system with ensemble latent factor modeling is accepted by IEEE ICBK 2021; ICBK is the sister conference of ICDM.
A new Copula model to learn feature interactions and dynamics in streaming data has been accepted as a regular paper (acceptance rate = 9.9%) by IEEE ICDM 2021.
A new latent factor analysis for online feature selection under high sparsity has been accepted by IEEE T.SMC.
An interpretable data synthesis technique using GAN for imbalanced classification problem has been accepted by IJCAI 2021.
A new lifelong learning paradigm that overcomes catastrophic forgetting with an "easy-to-hard" task curriculum has been accepted by WWW 2021.
A semi-supervised online learning algorithm dealing with streaming features has been accepted by AAAI 2021.