Sotabase

Career

· Research Scientist, Amazon Web Services2022–
· PhD Student in Data and Information Systems, University of Illinois at Urbana-Champaign (UIUC)2016–2021
· Research Scientist, Microsoft

Publications (40)

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Web Search and Data Mining · 2020
97
cited
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
International Conference on Information and Knowledge Management · 2018
83
cited
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2020
75
cited
A Modular Adversarial Approach to Social Recommendation
International Conference on Information and Knowledge Management · 2019
37
cited
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation
ACM Conference on Recommender Systems · 2021
36
cited
Leveraging semantic resources in diversified query expansion
World wide web (Bussum) · 2017
28
cited
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
Industrial Conference on Data Mining · 2020
24
cited
Sublinear time spectral density estimation
Symposium on the Theory of Computing · 2021
20
cited
Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity
International Conference on Information and Knowledge Management · 2018
18
cited
Lifelong Learning with Sketched Structural Regularization
Asian Conference on Machine Learning · 2021
17
cited
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks
The Web Conference · 2020
14
cited
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
International Conference on Machine Learning · 2019
14
cited
Unsupervised Concept Categorization and Extraction from Scientific Document Titles
International Conference on Information and Knowledge Management · 2017
11
cited
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices
Annual Conference Computational Learning Theory · 2020
9
cited
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
arXiv.org · 2023
9
cited
Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia
WISE · 2016
8
cited
Lower Bounds for Pseudo-Deterministic Counting in a Stream
International Colloquium on Automata, Languages and Programming · 2023
7
cited
On Sketching the q to p norms
International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques · 2018
7
cited
RASE: Relationship Aware Social Embedding
IEEE International Joint Conference on Neural Network · 2019
7
cited
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
arXiv.org · 2019
6
cited
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Adit Krishnan | Researcher Profile | Sotabase | Sotabase