Biography
My name is Lin Zhang (张林 in Chinese). I got my Ph.D from University at Albany - State University of New York and my advisor is Prof.Petko Bogdanov. My research interests include data mining and management with a focus on graph data and applications to social sociology. I have published papers in major international conferences in data mining, such as KDD, CIKM, ICDM, SDM, PKDD.
I am now a research scientist @Tencent.com. My research interests include graph neural networks (GNNs), automated machine learning (AutoML), matrix/tensor factorization; applications to social networks, computational biology, and chemistry.
Recent Publications
Mining Bursty Groups from Interaction Data.
Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos Papalexakis, Petko Bogdanov. Conference on Information and Knowledge Management (CIKM), 2021. [BIB]
Temporal Graph Signal Decomposition.
Maxwell McNeil, Lin Zhang, and Petko Bogdanov. ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2021). [BIB]
CORE: Connectivity Optimization via REinforcement Learning in WANETs.
Alexander Gorovits, Karyn Doke, Lin Zhang, Mariya Zheleva and Petko Bogdanov. IEEE International Conference on Sensing, Communication and Networking (IEEE SECON 2021). [BIB]
SYMMeTRy: Exploiting MIMO Self-Similarity for Under-Determined Modulation Recognition.
Wei Xiong, Lin Zhang, Maxwel McNeil, Petko Bogdanov, and Mariya Zheleva. IEEE Transactions on Mobile Computing (TMC)，2021. [BIB]
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.
Lin Zhang, Wenyu Zhang, Maxwell J McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2020. [code ] [BIB]
Learning period from incomplete multivariate time series.
Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov. IEEE International Conference on Data Mining (ICDM), 2020. [code] [BIB]
Period Estimation For Incomplete Time Series.
Lin Zhang, Petko Bogdanov.
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020. [code] [BIB]
Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition.
Wei Xiong, Lin Zhang, Maxwell J McNeil, Petko Bogdanov, Mariya Zheleva.
IEEE International Conference on Computer Communications (INFOCOM), 2020. (Acceptance rate: 19.8%)
PERCeIDs: Periodic Community Detection
Lin Zhang, Alexander Gorovits, Petko Bogdanov.
IEEE International Conference on Data Mining (ICDM), 2019. (Full paper; Acceptance rate: 9.08%). [slides][code][BIB]
DSL: Discriminative Subgraph Learning via Sparse Self-Representation.
Lin Zhang, Petko Bogdanov.
SIAM International Conference on Data Mining (SDM), 2019. (Acceptance rate: 22.7%). [poster][code][BIB]
Get In Touch
Open to Data Ming /Machine Learning /Artificial intelligence research/system collaboration opportunities. Besides, I am always looking for paper review, tutorial, workshop, and talk. Please reach out :)