Big Bend National Park, TX, 2022
I am a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holder of the Royce E. Wisenbaker Professorship I, and Director of the Texas A&M Institute of Data Science. My research combines the foundations and applications of data science and computer networking, currently graph stream sampling, network measurement and resilience, and applications of data science to transportation and hydrology. You can find details on my work page, and download most of my papers.
Positions Available
News
- Check TAMIDS Website for more recent updates
- Jun 2022: Talk: Keynote at ACM Sigmetrics / IFIP Performance 2022
- Jun 2022: Paper: Hashing Design in Modern Networks: Challenges and Mitigation Techniques, to appear in Usenix ATC
- Jun 2022: Paper: Multiscale Energy Network Tomography, to appear in IFIP Networking
- May 2022 Paper: Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media, appeared in International Journal of Digital Earth
- Feb 2022: THECB Award: Texas A&M University System Consortium for Graduate Data Science Credentialing
- Jan 2022: Paper: MoReL: Multi-omics Relational Learning, accepted to ICLR 2022.
- Jan 2022: Paper: Visual Recognition for Urban Traffic Data Retrieval and Analysis in Major Events Using Convolutional Neural Networks, appeared in Computational Urban Science
- Dec 2021: Paper: SmartWatch: Accurate Traffic Analysis and Flow-state Tracking for Intrusion Prevention using SmartNICs, appeared in CoNext 2021
- Oct 2021: Preprint: Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media
- Sep 2021: NIH Award: Maximizing Student Development in Data and Information Science-Related Disciplines for Biomedical PhD Trainees
- Sep 2021: NIST Award: Creating a Shared Public Safety Radio Data Set for Sharing and Analysis, National Institute of Standards and Technology
- Sep 2021: TWRI Award: Development of an Unmanned Aerial System (UAS)-based System to Improve Water Use Efficiency of Cotton by Monitoring Crop Water Use and Biomass Accumulation
- Aug. 2021:Congratulations to Yixiao Feng on his PhD graduation!
- Aug 2021: Microsoft Award under AI for Humanitarian Action Program
- Jun 2021: Paper: Online Sampling of Temporal Networks appeared in ACM Trans. Knowl. Discov. Data
- Sep 2020: Paper: Adaptive Shrinkage Estimation for Streaming Graphs, accepted to NeurIPS 2020
- Sep 2020: Paper: BayReL: Bayesian Relational Learning for Multi-omics Data Integration, accepted to NeurIPS 2020
- Aug 2020: Paper: Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis, accepted to ICDM 2020
- Jul 2020: Paper: A SmartNIC-Accelerated Monitoring Platform for In-band Network Telemetry, appeared at IEEE LANMAN 2020
- Jun 2020: PhD student Yixiao Feng is interning at Facebook this summer
- Jun 2020: Congratulations to Ruihong Wang on passing his MS Thesis Exam!
- May 2020: Paper: Bayesian Graph Neural Networks with Adaptive Connection Sampling, accepted to ICML 2020
- May 2020: Congratulations to Hanzi Mao on passing her PhD Thesis Exam!
- May 2020: Congratulations to Yunhong Xu on her PhD graduation!
- Mar 2020: Paper: Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, appeared in Operations Research
- Jan 2020: Paper: Semi-Implicit Stochastic Recurrent Neural Networks, accepted to ICASSP 2020
- Oct 2019: Preprint: Temporal Network Sampling
- Sep 2019: NSF Award: HDR Tripods: Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS)
- Sep 2019: Paper: Variational Graph Recurrent Neural Networks accepted to NeurIPS
- Sep 2019: Paper: Semi-Implicit Graph Variational Auto-Encoders accepted to NeurIPS
- Aug 2019: NSF Award: Planning Grant: Engineering Research Center for AI in Construction (AI-Con)
- Aug 2019: Preprint: Optimizing Consistent Merging and Pruning of Subgraphs in Network Tomography
- Aug 2019: Preprint: Network Shrinkage Estimation
- Jul 2019: NSF Award CC* Team SWEETER for regional expertise in computational and data sciences
- Jul 2019: Texas A&M Data Science Bootcamp announced for August 2019
- Jul 2019: HDR-Nets2019, Workshop on Harnessing the Data Revolution in Networking at ICNP’19
- Jul 2019: Paper: Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, accepted to Operations Research
- Jul 2019: Paper: Gap Filling of High-Resolution Soil Moisture accepted to Water Resources Research
- Jun 2019: Paper: Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games accepted to KAIS
- Jun 2019: Preprint: Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
- Jun 2019: Completion of ACM Sigmetrics / IFIP Performance 2019 as TPC Co-Chair. Thanks to all authors, TPC members and organizers!
- Apr 2019: TAMIDS Workshop on Data Science/AI/ML in Education
- Mar 2019: Paper: Real-Time Streaming Graph Embedding Through Local Actions accepted to DL4G-SDE
- Feb 2019: Patent: 10,192,547: System and method for customized voice response
- Jan 2019: Preprint: Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
- Jan 2019: Venturebeat news item on our ICDM paper on churn prediction for mobile games
- Nov 2018: Paper: Graph Reconstruction from Path Correlation Data appeared in Inverse Problems
- Oct 2018: Announced as Director of Texas A&M Institute of Data Science
- Sep 2018: NSF Award 1808551 Awarded: Real-Time Learning-Mediated Control for Traffic Shaping
- Aug 2018: Paper: A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games accepted for ICDM 2018
- Aug 2018: New Award: Advanced Traffic Analysis For Network Virtualization
- Aug 2018: NSF Award: 1848596 Awarded: Adaptive Sampling of Massive Graph Streams
- Aug 2018: PhD student Yixiao Feng completes his internship at Regeneron Pharmaceuticals
- Apr 2018: Paper: Sampling for Approximate Bipartite Network Projection accepted to IJCAI-ECAI-2018
- Apr 2018: TPC Co-Chair for ACM Sigmetrics / Performance 2019
- Apr 2018: TPC for IEEE BigData 2018
- Apr 2018: Preprint: Graph Reconstruction from Path Correlation Data
- Apr 2018: PhD student Hanzi Mao will intern this summer at Pinterest
- Dec 2017: Preprint: Estimating Node Similarity by Sampling Streaming Bipartite Graphs
- Nov 2017: Preprint: A Graph Signal Processing Approach For Real-Time Traffic Prediction In Transportation Networks
- Nov 2017: Talk at School of Computing, National University of Singapore
- Sep 2017: Poster: Spatio-Temporal Clustering based Graph Signal Processing for Road Network Traffic Prediction accepted to BigTransport17
- Aug 2017: Paper: Stream Aggregation Through Order Sampling accepted to CIKM 2017
- Jul 2017: Research visit to University of Warwick and Alan Turing Institute, UK
- Jul 2017: TPC for WWW 2018
- Jul 2017: Paper: On Sampling from Massive Graph Streams accepted to VLDB’17
- Jun 2017: Paper: Signature Inversion for Monotone Paths accepted to ECP
- Jun 2017: PhD student Arman Hasanzadeh talk Congestion Detection and Traffic Prediction in Transportation Networks Using Graph Signal Processing at the CMU GSP Workshop 2017
- Jun 2017: US Patent 9,680,877: Systems and methods for rule-based anomaly detection on IP network flow
- Apr 2017: TPC for IEEE BigData’17
- Mar 2017: Talk at School of Computing, University of Utah
- Mar 2017: Preprint: Stream Aggregation Through Order Sampling
- Mar 2017: PhD student Yunhong Xu will have summer internship at Fujitsu Network Communications
- Feb 2017: US Patent 9,571,366: Method and apparatus for providing a measurement of performance for a network
- Feb 2017: Talk at Department of Computer Science, Tulane University
- Feb 2017: MS student Liangzhen Xia will have summer internship at Facebook
- Dec 2016: Preprint Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs
- Dec 2016: PhD student Hanzi Mao will have summer internship at Halliburton
- Dec 2016: Keynote talk at 2016 BigGraphs Workshop at IEEE BigData’16
- Dec 2016: Paper: Graphlet Decomposition: Framework, Algorithms, and Applications appeared in KAIS
- Nov 2016: Talk at Department of Computer Science, Yale University
- Oct 2016: Paper: On the Tradeoff between Stability and Fit appeared in ACM TALG
- Sep 2016: Paper: Efficient Sampling for Better OSN Data Provisioning appeared at 54th Allerton Conference
- Sep 2016: NSF Award 1618030: NeTS: Small: Collaborative Research: Distributed Approximate Packet Classification
- Aug 2016: US Patent 9,407,527: System and method for inferring traffic legitimacy through selective impairment
- Jul 2016: Visting researcher at Intel Research, Santa Clara, CA
Follow paper / preprint / patent links for information on collaborators