Mohammad Al Hasan

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 82

Top Venues

CoRR

IEEE BigData

CIKM

Stat. Anal. Data Min.

Publications

Croix Gyurek, Niloy Talukder, Mohammad Al Hasan
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors. KDD (2024)
Croix Gyurek, Niloy Talukder, Mohammad Al Hasan
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors. CoRR (2024)
Michael J. Nelson, Md Nour Hossain, Mohammad Al Hasan, Enamul Haque
A Semi-Automatic Knowledge Discovery Tool to Identify and Visualize Course Bottlenecks. FIE (2023)
Hamidreza Lotfalizadeh, Mohammad Al Hasan
Force-directed graph embedding with hops distance. CoRR (2023)
Mohammad Al Hasan, Li Xiong
CIKM 2022 Conference Report. SIGWEB Newsl. 2023 (Spring) (2023)
Hamidreza Lotfalizadeh, Mohammad Al Hasan
Force-directed graph embedding with hops distance. BigData (2023)
Jun Zhuang, Mohammad Al Hasan
Robust Node Representation Learning via Graph Variational Diffusion Networks. CoRR (2023)
Md. Ahsanul Kabir, Tyler Phillips, Xiao Luo, Mohammad Al Hasan
ASPER: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context. Nat. Lang. Process. J. 3 (2023)
Md. Ahsanul Kabir, Aljohara Almulhim, Xiao Luo, Mohammad Al Hasan
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns. CoRR (2022)
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal, Daniel Tunkelang, Zhe Wu
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction. CoRR (2022)
Jun Zhuang, Mohammad Al Hasan
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. CIKM (2022)
Md. Ahsanul Kabir, Aljohara Almulhim, Xiao Luo, Mohammad Al Hasan
Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns. J. Heal. Informatics Res. 6 (3) (2022)
Jun Zhuang, Mohammad Al Hasan
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. AAAI (2022)
Jun Zhuang, Mohammad Al Hasan
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. CoRR (2022)
Rashed Doha, Mohammad Al Hasan, Sohel Anwar
Semantic Segmentation Approaches in Crop Row Detection. Big Data (2022)
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
Reliability Maximization in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Jun Zhuang, Mohammad Al Hasan
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks? Neural Process. Lett. 54 (4) (2022)
Jun Zhuang, Mohammad Al Hasan
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision. CoRR (2022)
Jun Zhuang, Mohammad Al Hasan
Deperturbation of Online Social Networks via Bayesian Label Transition. SDM (2022)
Hao Sha, Mohammad Al Hasan, George O. Mohler
Learning network event sequences using long short-term memory and second-order statistic loss. Stat. Anal. Data Min. 14 (1) (2021)
Hao Sha, Mohammad Al Hasan, George O. Mohler
Source detection on networks using spatial temporal graph convolutional networks. DSAA (2021)
Hao Sha, Mohammad Al Hasan, George O. Mohler
Group Link Prediction Using Conditional Variational Autoencoder. ICWSM (2021)
Jun Zhuang, Mohammad Al Hasan
Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks. ECML/PKDD (2) (2021)
Md. Ahsanul Kabir, Typer Phillips, Xiao Luo, Mohammad Al Hasan
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context. CoRR (2021)
Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran
Deep Learning based Crop Row Detection with Online Domain Adaptation. KDD (2021)
Jun Zhuang, Mohammad Al Hasan
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks. CoRR (2021)
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
Reliability Maximization in Uncertain Graphs (Extended Abstract). ICDE (2021)
Nazmuzzaman Khan, Mohammad Al Hasan, Sohel Anwar
Improving the Robustness of Object Detection Through a Multi-Camera-Based Fusion Algorithm Using Fuzzy Logic. Frontiers Artif. Intell. 4 (2021)
Saeed Salem, Mohammed Alokshiya, Mohammad Al Hasan
RASMA: a reverse search algorithm for mining maximal frequent subgraphs. BioData Min. 14 (1) (2021)
Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. ICWSM Workshops (2020)
Johnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse
Automated Corn Ear Height Prediction Using Video-Based Deep Learning. IEEE BigData (2020)
Samira Khorshidi, Mohammad Al Hasan, George O. Mohler, Martin B. Short
The Role of Graphlets in Viral Processes on Networks. J. Nonlinear Sci. 30 (5) (2020)
Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. CoRR (2020)
Hao Sha, Mohammad Al Hasan, Jeremy G. Carter, George O. Mohler
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization. IEEE BigData (2020)
Vachik S. Dave, Mohammad Al Hasan
Triangle Completion Time Prediction Using Time-Conserving Embedding. ECML/PKDD (1) (2019)
Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler
Group Link Prediction. IEEE BigData (2019)
Tianchong Gao, Wei Peng, Devkishen Sisodia, Tanay Kumar Saha, Feng Li, Mohammad Al Hasan
Android Malware Detection via Graphlet Sampling. IEEE Trans. Mob. Comput. 18 (12) (2019)
John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction. CoRR (2019)
Xucan Chen, Mohammad Al Hasan, Xintao Wu, Pavel Skums, Mohammad Javad Feizollahi, Marie Ouellet, Eric L. Sevigny, David Maimon, Yubao Wu
Characteristics of Bitcoin Transactions on Cryptomarkets. SpaCCS (2019)
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. Data Sci. Eng. 4 (2) (2019)
Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George O. Mohler
Into the Reverie: Exploration of the Dream Market. IEEE BigData (2019)
Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan
Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL (2019)
John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler
Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. KDD (2019)
Aljohara Almulhim, Vachik S. Dave, Mohammad Al Hasan
Network Alignment Using Graphlet Signature and High Order Proximity. LOD (2019)
Tanay Kumar Saha, Ataur Katebi, Wajdi Dhifli, Mohammad Al Hasan
Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins Using Frequent Subgraph Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
Budgeted Reliability Maximization in Uncertain Graphs. CoRR (2019)
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
Neural-brane: an inductive approach for attributed network embedding. ASONAM (2019)
Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy
for reciprocal link creation using survival analysis. Soc. Netw. Anal. Min. 8 (1) (2018)
Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics 16 (3-4) (2018)
Andrew Baas, Frances Hung, Hao Sha, Mohammad Al Hasan, George O. Mohler
Predicting Virality on Networks Using Local Graphlet Frequency Distribution. IEEE BigData (2018)
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan
Incremental eigenpair computation for graph Laplacian matrices: theory and applications. Soc. Netw. Anal. Min. 8 (1) (2018)
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications. CoRR (2018)
Mohammad Al Hasan, Faizan Javed, Ioana E. Marinescu
Special Issue Editorial. Data Sci. Eng. 3 (3) (2018)
Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem
A Combined Representation Learning Approach for Better Job and Skill Recommendation. CIKM (2018)
Mansurul Bhuiyan, Mohammad Al Hasan
Representing Graphs as Bag of Vertices and Partitions for Graph Classification. Data Sci. Eng. 3 (2) (2018)
Mohammad Al Hasan, Vachik S. Dave
Triangle counting in large networks: a review. WIREs Data Mining Knowl. Discov. 8 (2) (2018)
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. CoRR (2018)
Tanay Kumar Saha, Thomas Williams, Mohammad Al Hasan, Shafiq R. Joty, Nicholas K. Varberg
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes. CoRR (2018)
Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan, Kevin S. Xu, Chandan K. Reddy
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. CoRR (2018)
Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy
How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. ICWSM (2017)
Baichuan Zhang, Mohammad Al Hasan
Name Disambiguation in Anonymized Graphs using Network Embedding. CIKM (2017)
Aritra Mandal, Mohammad Al Hasan
A distributed k-core decomposition algorithm on spark. IEEE BigData (2017)
Tanay Kumar Saha, Shafiq R. Joty, Naeemul Hassan, Mohammad Al Hasan
Regularized and Retrofitted models for Learning Sentence Representation with Context. CIKM (2017)
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation. CoRR (2017)
Baichuan Zhang, Mohammad Al Hasan
Name Entity Disambiguation in Anonymized Graphs using Link Analysis: A Network Embedding based Solution. CoRR (2017)
Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan
E-CLoG: Counting edge-centric local graphlets. IEEE BigData (2017)
Mansurul Alam Bhuiyan, Mohammad Al Hasan
RAVEN: Web-based smart home exploration system through interactive pattern discovery. IEEE BigData (2017)
Tanay Kumar Saha, Shafiq R. Joty, Mohammad Al Hasan
Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec. ECML/PKDD (1) (2017)
Darshan Sangani, Kelby Erickson, Mohammad Al Hasan
Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting. MASS (2017)
Baichuan Zhang, Noman Mohammed, Vachik S. Dave, Mohammad Al Hasan
Feature Selection for Classification under Anonymity Constraint. Trans. Data Priv. 10 (1) (2017)
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CIKM (2016)
Mansurul Bhuiyan, Mohammad Al Hasan
Interactive knowledge discovery from hidden data through sampling of frequent patterns. Stat. Anal. Data Min. 9 (4) (2016)
Mansurul Alam Bhuiyan, Mohammad Al Hasan
Interactive personalized interesting pattern discovery. IEEE BigData (2016)
Tanay Kumar Saha, Shafiq R. Joty, Naeemul Hassan, Mohammad Al Hasan
Dis-S2V: Discourse Informed Sen2Vec. CoRR (2016)
Mansurul Bhuiyan, Mohammad Al Hasan
Waiting to Be Sold: Prediction of Time-Dependent House Selling Probability. DSAA (2016)
Mansurul Alam Bhuiyan, Mohammad Al Hasan
PRIIME: A generic framework for interactive personalized interesting pattern discovery. IEEE BigData (2016)
Mahmudur Rahman, Mohammad Al Hasan
Link Prediction in Dynamic Networks Using Graphlet. ECML/PKDD (1) (2016)
Wei Peng, Tianchong Gao, Devkishen Sisodia, Tanay Kumar Saha, Feng Li, Mohammad Al Hasan
ACTS: Extracting Android App topologiCal signature through graphleT Sampling. CNS (2016)
Mansurul Bhuiyan, Mohammad Al Hasan
PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery. CoRR (2016)
Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs. CoRR (2016)
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. CoRR (2016)
Vachik S. Dave, Mohammad Al Hasan
TopCom: Index for Shortest Distance Query in Directed Graph. CoRR (2016)
Tanay Kumar Saha, Mohammad Al Hasan
frequent subgraph mining. Stat. Anal. Data Min. 8 (4) (2015)
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan, Alfred O. Hero III
Incremental Method for Spectral Clustering of Increasing Orders. CoRR (2015)
Vachik S. Dave, Mohammad Al Hasan
TopCom: Index for Shortest Distance Query in Directed Graph. DEXA (1) (2015)
Tanay Kumar Saha, Mohammad Al Hasan, Chandler Burgess, Md. Ahsan Habib, Jeff Johnson
Batch-mode active learning for technology-assisted review. IEEE BigData (2015)
Tanay Kumar Saha, Mohammad Al Hasan
Finding Network Motifs Using MCMC Sampling. CompleNet (2015)
Tanay Kumar Saha, Baichuan Zhang, Mohammad Al Hasan
Name disambiguation from link data in a collaboration graph using temporal and topological features. Soc. Netw. Anal. Min. 5 (1) (2015)
Mansurul Bhuiyan, Mohammad Al Hasan
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm. IEEE Trans. Knowl. Data Eng. 27 (3) (2015)
Baichuan Zhang, Vachik S. Dave, Mohammad Al Hasan
Feature Selection for Classification under Anonymity Constraint. CoRR (2015)
Baichuan Zhang, Tanay Kumar Saha, Mohammad Al Hasan
Name disambiguation from link data in a collaboration graph. ASONAM (2014)
Mahmudur Rahman, Mohammad Al Hasan
Sampling Triples from Restricted Networks using MCMC Strategy. CIKM (2014)
Tanay Kumar Saha, Mohammad Al Hasan
FS^3: A Sampling based method for top-k Frequent Subgraph Mining. CoRR (2014)
Mahmudur Rahman, Mansurul Alam Bhuiyan, Mohammad Al Hasan
Graft: An Efficient Graphlet Counting Method for Large Graph Analysis. IEEE Trans. Knowl. Data Eng. 26 (10) (2014)
Mansurul Bhuiyan, Mohammad Al Hasan
FSM-H: Frequent Subgraph Mining Algorithm in Hadoop. BigData Congress (2014)
Tanay Kumar Saha, Mohammad Al Hasan
: A sampling based method for top-k frequent subgraph mining. IEEE BigData (2014)
Mahmudur Rahman, Mansurul Alam Bhuiyan, Mahmuda Rahman, Mohammad Al Hasan
GUISE: a uniform sampler for constructing frequency histogram of graphlets. Knowl. Inf. Syst. 38 (3) (2014)
Baichuan Zhang, Tanay Kumar Saha, Mohammad Al Hasan
Name Disambiguation from link data in a collaboration graph. CoRR (2014)
Mansurul Bhuiyan, Mohammad Al Hasan
MIRAGE: An Iterative MapReduce based FrequentSubgraph Mining Algorithm. CoRR (2013)
Mansurul Bhuiyan, Aziz Mohaisen, Yannis Labrou, Mohammad Al Hasan
Characterization of the dynamics and interactions of domain names and name server. CNS (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohammad Al Hasan