🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Vasant Honavar

Pennsylvania State University

ORCID: 0000-0001-5399-3489
Computer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 7%percentile
0.104Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules

arXiv (Cornell University)(2024)10.48550/arxiv.2411.10821
Top 78%
0.104DataRank
Top 78%1 citations

Chao Cui, Huaisheng Zhu, Vasant Honavar, Teng Xiao

Papers

Driven by 24 papers — median percentile 11. Top paper: “Machine Learning in Computational Biology”.

Machine Learning in Computational Biology

Encyclopedia of Database Systems(2017)10.1007/978-1-4899-7993-3_636-2
N/A
0.360DataRank · unranked
10 citations

Vasant Honavar, Cornelia Caragea

Hyperdimensional Representation Learning for Node Classification and Link Prediction

(2025)10.1145/3701551.3703492
N/A
0.292DataRank · unranked
6 citations

Vasant Honavar, Abhishek Dalvi

3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation

arXiv (Cornell University)(2024)10.48550/arxiv.2403.07179
N/A
0.241DataRank · unranked
4 citations

Teng Xiao, Vasant Honavar, Huaisheng Zhu

Longitudinal Deep Kernel Gaussian Process Regression

Proceedings of the AAAI Conference on Artificial Intelligence(2021)10.1609/aaai.v35i10.17038
N/A
0.199DataRank · unranked
2 citations

Yanting Wu, Dongkuan Xu, Vasant Honavar, Junjie Liang

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment

arXiv (Cornell University)(2024)10.48550/arxiv.2412.14516
N/A
0.104DataRank · unranked
1 citations

Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant Honavar, Teng Xiao

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules

arXiv (Cornell University)(2024)10.48550/arxiv.2411.10821
Top 78%
0.104DataRank
Top 78%1 citations

Chao Cui, Huaisheng Zhu, Vasant Honavar, Teng Xiao

Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing

Sleep Health(2023)10.1016/j.sleh.2023.07.001
N/A
0DataRank · unranked
10 citations

Margeaux M. Schade, Lindsay Master, Vasant Honavar, Nicole G. Nahmod, Anne‐Marie Chang +3 more

Large datasets from Electronic Health Records predict seizures after ischemic strokes: A Machine Learning approach

medRxiv(2024)10.1101/2024.01.24.24301755
N/A
0DataRank · unranked
5 citations

Justin Petucci, Temitope Femi Ajala, Avnish Katoch, Souvik Sen, Vasant Honavar +1 more

Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data

ScholarSphere (Penn State Libraries)(2020)10.1145/3412815.3416894
N/A
0DataRank · unranked
4 citations

Vasant Honavar, Thanh Le

Corrigendum to “Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing” [Sleep Health 9 (2023) 596-610]

Sleep Health(2024)10.1016/j.sleh.2023.11.008
N/A
0DataRank · unranked
2 citations

Margeaux M. Schade, Lindsay Master, Vasant Honavar, Nicole G. Nahmod, Anne‐Marie Chang +3 more

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines

SoftwareX(2020)10.1016/j.softx.2020.100462
N/A
0DataRank · unranked
9 citations

Yong Gyu Jung, Vasant Honavar, Cunliang Geng, Alexandre M. J. J. Bonvin, Li C. Xue +1 more

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective

(2024)10.18653/v1/2024.emnlp-main.744
N/A
0DataRank · unranked
1 citations

Mingxiao Li, Yige Yuan, Huaisheng Zhu, Cui Chao, Vasant Honavar +1 more

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

ScholarSphere (Penn State Libraries)(2020)10.1145/3366423.3380149
N/A
0DataRank · unranked
162 citations

Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant Honavar, Yiwei Sun

EsaCL: Efficient Continual Learning of Sparse Models

arXiv (Cornell University)(2024)10.48550/arxiv.2401.05667
N/A
0DataRank · unranked
0 citations

Vasant Honavar, Weijieying Ren

Hyperdimensional Representation Learning for Node Classification and Link Prediction

arXiv (Cornell University)(2024)10.48550/arxiv.2402.17073
N/A
0DataRank · unranked
0 citations

Vasant Honavar, Abhishek Dalvi

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data

Proceedings of the AAAI Conference on Artificial Intelligence(2024)10.1609/aaai.v38i12.29279
N/A
0DataRank · unranked
0 citations

Weijieying Ren, Hanifi Sahar, Vasant Honavar, Junjie Liang

Causal Effect Estimation Using Random Hyperplane Tessellations

arXiv (Cornell University)(2024)10.48550/arxiv.2404.10907
N/A
0DataRank · unranked
0 citations

Neil Ashtekar, Vasant Honavar, Abhishek Dalvi

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective

arXiv (Cornell University)(2024)10.48550/arxiv.2410.10093
N/A
0DataRank · unranked
0 citations

Mingxiao Li, Yige Yuan, Huaisheng Zhu, Cui Chao, Vasant Honavar +1 more

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules

(2024)10.1109/bibm62325.2024.10822346
Top 100%
0DataRank
Top 100%0 citations

Chao Cui, Huaisheng Zhu, Vasant Honavar, Teng Xiao

LMLFM: Longitudinal Multi-Level Factorization Machine

Proceedings of the AAAI Conference on Artificial Intelligence(2020)10.1609/aaai.v34i04.5916
N/A
0DataRank · unranked
6 citations

Dongkuan Xu, Yiwei Sun, Vasant Honavar, Junjie Liang

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters

arXiv (Cornell University)(2025)10.48550/arxiv.2502.00883
N/A
0DataRank · unranked
0 citations

Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren +2 more

C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference

Social Network Analysis and Mining(2025)10.1007/s13278-025-01502-2
N/A
0DataRank · unranked
0 citations

Neil Ashtekar, Vasant Honavar, Abhishek Dalvi

Reinforcement Learning for Large Language Models via Group Preference Reward Shaping

(2025)10.18653/v1/2025.emnlp-main.1085
N/A
0DataRank · unranked
0 citations

Siyuan Xu, Hangfan Zhang, Teng Xiao, Zhimeng Guo, Shijie Zhou +3 more

MetaScore: A novel machine-learning based approach to improve traditional scoring functions for scoring protein-protein docking conformations

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.06.463442
N/A
0DataRank · unranked
0 citations

Cunliang Geng, Alexandre M. J. J. Bonvin, Li C. Xue, Vasant Honavar, Yong Gyu Jung