Vasant G. Honavar

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 73

Top Venues

Publications

Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR (2024)
Weijieying Ren, Vasant G. Honavar
EsaCL: Efficient Continual Learning of Sparse Models. CoRR (2024)
Weijieying Ren, Vasant G. Honavar
EsaCL: An Efficient Continual Learning Algorithm. SDM (2024)
Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR (2024)
Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
Causal Matching using Random Hyperplane Tessellations. CLeaR (2024)
Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
Causal Effect Estimation Using Random Hyperplane Tessellations. CoRR (2024)
Abhishek Dalvi, Vasant G. Honavar
One-Shot Graph Representation Learning Using Hyperdimensional Computing. CoRR (2024)
Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. AAAI (2024)
Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. ECAI (2023)
Neil Ashtekar, Vasant G. Honavar
A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data. Tiny Papers @ ICLR (2023)
Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. CoRR (2023)
Michael G. Kallitsis, Rupesh Prajapati, Vasant G. Honavar, Dinghao Wu, John Yen
Detecting and Interpreting Changes in Scanning Behavior in Large Network Telescopes. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Rupesh Prajapati, Vasant G. Honavar, Dinghao Wu, John Yen, Michalis Kallitsis
Shedding light into the darknet: scanning characterization and detection of temporal changes. CoNEXT (2021)
Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar
Longitudinal Deep Kernel Gaussian Process Regression. AAAI (2021)
Michalis Kallitsis, Vasant G. Honavar, Rupesh Prajapati, Dinghao Wu, John Yen
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes. CoRR (2021)
Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
Functional Autoencoders for Functional Data Representation Learning. SDM (2021)
Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. WWW (2021)
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. WSDM (2021)
Christopher Seto, Aria Khademi, Corina Graif, Vasant G. Honavar
Commuting Network Spillovers and COVID-19 Deaths Across US Counties. CoRR (2020)
Nicolas Renaud, Yong Jung, Vasant G. Honavar, Cunliang Geng, Alexandre M. J. J. Bonvin, Li C. Xue
iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines. SoftwareX 11 (2020)
Cunliang Geng, Yong Jung, Nicolas Renaud, Vasant G. Honavar, Alexandre M. J. J. Bonvin, Li C. Xue
iScore: a novel graph kernel-based function for scoring protein-protein docking models. Bioinform. 36 (1) (2020)
Manish Parashar, Anthony Simonet, Ivan Rodero, Forough Ghahramani, Grace Agnew, Ron Jantz, Vasant G. Honavar
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research. Comput. Sci. Eng. 22 (3) (2020)
Aria Khademi, Vasant G. Honavar
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution. CoRR (2020)
Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar
Longitudinal Deep Kernel Gaussian Process Regression. CoRR (2020)
Thanh Le, Vasant G. Honavar
Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data. FODS (2020)
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. WWW (2020)
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. CoRR (2020)
Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar
LMLFM: Longitudinal Multi-Level Factorization Machine. AAAI (2020)
Aria Khademi, Vasant G. Honavar
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract). AAAI (2020)
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
Node Injection Attacks on Graphs via Reinforcement Learning. CoRR (2019)
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. CoRR (2019)
Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar
LMLFM: Longitudinal Multi-Level Factorization Machine. CoRR (2019)
Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. ICBK (2019)
Sanghack Lee, Vasant G. Honavar
Towards Robust Relational Causal Discovery. UAI (2019)
Yimin Zhou, Yiwei Sun, Vasant G. Honavar
Improving Image Captioning by Leveraging Knowledge Graphs. CoRR (2019)
Thanh Le, Vasant G. Honavar
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario. CoRR (2019)
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. IJCAI (2019)
Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar
Minimum Intervention Cover of a Causal Graph. AAAI (2019)
Aria Khademi, Sanghack Lee, David Foley, Vasant G. Honavar
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality. WWW (2019)
Aria Khademi, Vasant G. Honavar
Algorithmic Bias in Recidivism Prediction: A Causal Perspective. CoRR (2019)
Yimin Zhou, Yiwei Sun, Vasant G. Honavar
Improving Image Captioning by Leveraging Knowledge Graphs. WACV (2019)
Sanghack Lee, Vasant G. Honavar
Towards Robust Relational Causal Discovery. CoRR (2019)
Aria Khademi, Sanghack Lee, David Foley, Vasant G. Honavar
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality. CoRR (2019)
Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. CoRR (2018)
Mostafa M. Abbas, Thanh Le, Halima Bensmail, Vasant G. Honavar, Yasser El-Manzalawy
Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection. BCB (2018)
Aria Khademi, Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar
Toward personalized sleep-wake prediction from actigraphy. BHI (2018)
Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. IEEE BigData (2018)
Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. CoRR (2018)
Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement. ICDM Workshops (2018)
Shlomit Gur, Vasant G. Honavar
PATENet: Pairwise Alignment of Time Evolving Networks. MLDM (1) (2018)
Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant G. Honavar
recommendation approach for mobile in-application advertising. Expert Syst. Appl. 111 (2018)
Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. IDEAL (1) (2018)
Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement. CoRR (2018)
Li C. Xue, João P. G. L. M. Rodrigues, Drena Dobbs, Vasant G. Honavar, Alexandre M. J. J. Bonvin
Template-based protein-protein docking exploiting pairwise interfacial residue restraints. Briefings Bioinform. 18 (3) (2017)
Vasant G. Honavar, Katherine A. Yelick, Klara Nahrstedt, Holly E. Rushmeier, Jennifer Rexford, Mark D. Hill, Elizabeth Bradley, Elizabeth D. Mynatt
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. CoRR (2017)
Sanghack Lee, Vasant G. Honavar
Towards Conditional Independence Test for Relational Data. UAI (2017)
Solon Barocas, Elizabeth Bradley, Vasant G. Honavar, Foster J. Provost
Big Data, Data Science, and Civil Rights. CoRR (2017)
Sanghack Lee, Vasant G. Honavar
Self-Discrepancy Conditional Independence Test. UAI (2017)
Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar
Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering. BIBM (2017)
Gregory D. Hager, Randal E. Bryant, Eric Horvitz, Maja J. Mataric, Vasant G. Honavar
Advances in Artificial Intelligence Require Progress Across all of Computer Science. CoRR (2017)
Drena Dobbs, Steven E. Brenner, Vasant G. Honavar, Robert L. Jernigan, Alain Laederach, Quaid Morris
Session Introduction. PSB (2016)
Ngot Bui, John Yen, Vasant G. Honavar
Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network. IEEE Trans. Comput. Soc. Syst. 3 (2) (2016)
Ngot Bui, Thanh Le, Vasant G. Honavar
Labeling actors in multi-view social networks by integrating information from within and across multiple views. IEEE BigData (2016)
Sanghack Lee, Vasant G. Honavar
A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics. UAI (2016)
Vasant G. Honavar, Mark D. Hill, Katherine A. Yelick
Accelerating Science: A Computing Research Agenda. CoRR (2016)
Sanghack Lee, Vasant G. Honavar
On Learning Causal Models from Relational Data. AAAI (2016)
Vasant G. Honavar
Discovery Informatics in Biological and Biomedical Sciences: Research Challenges and Opportunities. Pacific Symposium on Biocomputing (2015)
Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
CRISNER: A Practically Efficient Reasoner for Qualitative Preferences. CoRR (2015)
Sanghack Lee, Vasant G. Honavar
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning. ACI@UAI (2015)
Ngot Bui, John Yen, Vasant G. Honavar
Temporal Causality of Social Support in an Online Community for Cancer Survivors. SBP (2015)
Harris T. Lin, Ngot Bui, Vasant G. Honavar
Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies. IEEE BigData (2015)
Sanghack Lee, Vasant G. Honavar
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning. CoRR (2015)
Jia Tao, Giora Slutzki, Vasant G. Honavar
A Conceptual Framework for Secrecy-preserving Reasoning in Knowledge Bases. ACM Trans. Comput. Log. 16 (1) (2014)
Facundo Bromberg, Dimitris Margaritis, Vasant G. Honavar
Efficient Markov Network Structure Discovery Using Independence Tests. CoRR (2014)
Kannan Sankar, Rasna R. Walia, Carla M. Mann, Robert L. Jernigan, Vasant G. Honavar, Drena Dobbs
An analysis of conformational changes upon RNA-protein binding. BCB (2014)
Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
Representing and Reasoning with Qualitative Preferences for Compositional Systems. CoRR (2014)
Ngot Bui, Vasant G. Honavar
Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel. SBP (2014)
Ngot Bui, Vasant G. Honavar
On the utility of abstraction in labeling actors in social networks. ASONAM (2013)
Sanghack Lee, Vasant G. Honavar
m-Transportability: Transportability of a Causal Effect from Multiple Environments. AAAI (2013)
Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
Verifying Preferential Equivalence and Subsumption via Model Checking. ADT (2013)
Letao Qi, Harris T. Lin, Vasant G. Honavar
Clustering remote RDF data using SPARQL update queries. ICDE Workshops (2013)
Harris T. Lin, Sanghack Lee, Ngot Bui, Vasant G. Honavar
Learning Classifiers from Distributional Data. BigData Congress (2013)
Sanghack Lee, Vasant G. Honavar
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability. UAI (2013)
Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
Preference Based Service Adaptation Using Service Substitution. Web Intelligence (2013)
Elias Bareinboim, Sanghack Lee, Vasant G. Honavar, Judea Pearl
Transportability from Multiple Environments with Limited Experiments. NIPS (2013)
Sanghack Lee, Vasant G. Honavar
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability. CoRR (2013)
Harris T. Lin, Vasant G. Honavar
Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores. BigData Congress (2013)
Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. BMC Bioinform. 13 (2012)
Kewei Tu, Vasant G. Honavar
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. EMNLP-CoNLL (2012)
Jia Tao, Giora Slutzki, Vasant G. Honavar
PSPACE Tableau Algorithms for Acyclic Modalized $\boldsymbol{\mathcal{ALC}}$. J. Autom. Reason. 49 (4) (2012)
Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
Predicting protective bacterial antigens using random forest classifiers. BCB (2012)
Fadi Towfic, Shakti Gupta, Vasant G. Honavar, Shankar Subramaniam
B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis. Genom. Proteom. Bioinform. 10 (3) (2012)
Zachary J. Oster, Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure. FACS (2012)
Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
Predicting protein-protein interface residues using local surface structural similarity. BMC Bioinform. 13 (2012)
Vasant G. Honavar
Learning predictive models from large distributed autonomous data sources. CIDU (2012)
Harris T. Lin, Neeraj Koul, Vasant G. Honavar
Learning Relational Bayesian Classifiers from RDF Data. ISWC (1) (2011)
Usha Muppirala, Vasant G. Honavar, Drena Dobbs
Predicting RNA-Protein Interactions Using Only Sequence Information. BMC Bioinform. 12 (2011)
Li C. Xue, Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study. BCB (2011)
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar
Exemplar-based Robust Coherent Biclustering. SDM (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vasant G. Honavar