I am an applied scientist at Microsoft working on multimodal information retrieval, search, and recommendation problems. Before my current position, I was a PhD student in the Data and Information Systems (DAIS) Group, Computer Science Department, University of Illinois at Urbana-Champaign (UIUC), advised by Hari Sundaram.
The goal of my PhD research is to develop user-centric deep-learning models for Recommendation Systems, Graph Mining, Information Retrieval, Behavior Modeling and NLP. I aim to identify real-world constraints in training models, and overcome the implicit assumptions that underlie commonly employed training algorithms, and model architectures.
Prior to joining UIUC, I obtained my Bachelors and Masters in Computer Science at IIT Madras, supervised by Sayan Ranu. My undergraduate thesis was centered on problems surrounding Information Retrieval and Statistical Data Modeling.
@inproceedings{krishnan2022multi, title={Multi-task Knowledge Graph Representations via Residual Functions}, author={Krishnan, Adit and Das, Mahashweta and Bendre, Mangesh and Wang, Fei and Yang, Hao and Sundaram, Hari}, booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining}, pages={262--275}, year={2022}, organization={Springer} }
@article{sankar2022self, title={Self-supervised role learning for graph neural networks}, author={Sankar, Aravind and Wang, Junting and Krishnan, Adit and Sundaram, Hari}, journal={Knowledge and Information Systems}, volume={64}, number={8}, pages={2091--2121}, year={2022}, publisher={Springer} }
@inproceedings{sankar2021protocf, title={Protocf: Prototypical collaborative filtering for few-shot recommendation}, author={Sankar, Aravind and Wang, Junting and Krishnan, Adit and Sundaram, Hari}, booktitle={Fifteenth ACM Conference on Recommender Systems}, pages={166--175}, year={2021} }
@inproceedings{narang2021ranking, title={Ranking User-Generated Content via Multi-Relational Graph Convolution}, author={Narang, Kanika and Krishnan, Adit and Wang, Junting and Yang, Chaoqi and Sundaram, Hari and Sutter, Carolyn}, booktitle={Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval}, pages={470--480}, year={2021} }
@inproceedings{sankar2020beyond, title={Beyond localized graph neural networks: An attributed motif regularization framework}, author={Sankar, Aravind and Wang, Junting and Krishnan, Adit and Sundaram, Hari}, booktitle={2020 IEEE International Conference on Data Mining (ICDM)}, pages={472--481}, year={2020}, organization={IEEE} } }
@inproceedings{10.1145/3397271.3401078, author = {Krishnan, Adit and Das, Mahashweta and Bendre, Mangesh and Yang, Hao and Sundaram, Hari}, title = {Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation}, year = {2020}, url = {https://doi.org/10.1145/3397271.3401078}, doi = {10.1145/3397271.3401078}, booktitle = {Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval}, pages = {1081–1090} }
@inproceedings{xiao2020discovering, title={Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks}, author={Xiao, Yuxin and Krishnan, Adit and Sundaram, Hari}, booktitle={Proceedings of The Web Conference 2020}, pages={2078--2088}, year={2020} }
@inproceedings{krishnan2019modular, title={A Modular Adversarial Approach to Social Recommendation}, author={Krishnan, Adit and Cheruvu, Hari and Tao, Cheng and Sundaram, Hari}, booktitle={Proceedings of the 28th ACM International Conference on Information and Knowledge Management}, pages={1753--1762}, year={2019}, organization={ACM} }
@inproceedings{infvae, author = {Sankar, Aravind and Zhang, Xinyang and Krishnan, Adit and Han, Jiawei}, title = {Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction}, booktitle = {Proceedings of the Thirteenth ACM International Conference on Web Search and Data Mining}, pages = {510--518}, year = {2020}, }
@inproceedings{krishnan2018adversarial, title={An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering}, author={Krishnan, Adit and Sharma, Ashish and Sankar, Aravind and Sundaram, Hari}, booktitle={Proceedings of the 27th ACM International Conference on Information and Knowledge Management}, pages={1491--1494}, year={2018}, organization={ACM} }
@inproceedings{krishnan2018insights, title={Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity}, author={Krishnan, Adit and Sharma, Ashish and Sundaram, Hari}, booktitle={Proceedings of the 27th ACM International Conference on Information and Knowledge Management}, pages={297--306}, year={2018}, organization={ACM} }
@inproceedings{sankar2019rase, title={Rase: Relationship aware social embedding}, author={Sankar, Aravind and Krishnan, Adit and He, Zongjian and Yang, Carl}, booktitle={2019 International Joint Conference on Neural Networks (IJCNN)}, pages={1--8}, year={2019}, organization={IEEE} }
@inproceedings{krishnan2017unsupervised, title={Unsupervised Concept Categorization and Extraction from Scientific Document Titles}, author={Krishnan, Adit and Sankar, Aravind and Zhi, Shi and Han, Jiawei}, booktitle={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management}, pages={1339--1348}, year={2017}, organization={ACM} }
@article{krishnan2018leveraging, title={Leveraging semantic resources in diversified query expansion}, author={Krishnan, Adit and Deepak, P and Ranu, Sayan and Mehta, Sameep}, journal={World Wide Web}, volume={21}, number={4}, pages={1041--1067}, year={2018}, publisher={Springer} }
@inproceedings{krishnan2016select, title={Select, link and rank: Diversified query expansion and entity ranking using wikipedia}, author={Krishnan, Adit and Padmanabhan, Deepak and Ranu, Sayan and Mehta, Sameep}, booktitle={International conference on web information systems engineering}, pages={157--173}, year={2016}, organization={Springer} }
@inproceedings{sinha2015improving, title={Improving marketing interactions by mining sequences}, author={Sinha, Ritwik and Mehta, Sanket and Bohra, Tapan and Krishnan, Adit}, booktitle={International Conference on Web Information Systems Engineering}, pages={277--292}, year={2015}, organization={Springer} }arXiv pre-prints
@inproceedings{sankar2020beyond, title={Beyond localized graph neural networks: An attributed motif regularization framework}, author={Sankar, Aravind and Wang, Junting and Krishnan, Adit and Sundaram, Hari}, booktitle={2020 IEEE International Conference on Data Mining (ICDM)}, pages={472--481}, year={2020}, organization={IEEE} }
@article{narang2019induced, title={An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms}, author={Narang, Kanika and Yang, Chaoqi and Krishnan, Adit and Wang, Junting and Sundaram, Hari and Sutter, Carolyn}, journal={arXiv preprint arXiv:1911.06957}, year={2019} }
@article{krishnan2017improving, title={Improving Latent User Models in Online Social Media}, author={Krishnan, Adit and Sharma, Ashish and Sundaram, Hari}, journal={arXiv preprint arXiv:1711.11124}, year={2017} }
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University e-mail: aditk2@illinois.edu
Alternate: adit101293@gmail.com