Minimizing area and energy of deep learning hardware design using collective low precision and structured compression. - Shihui Yin; Gaurav Srivastava 001; Shreyas K. Venkataramanaiah; Chaitali Chakrabarti; Visar Berisha; Jae-sun Seo (ACSSC, 2017)

Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks. - Gaurav Srivastava 001; Deepak Kadetotad; Shihui Yin; Visar Berisha; Chaitali Chakrabarti; Jae-sun Seo (ICASSP, 2019)

ECG Authentication Neural Network Hardware Design with Collective Optimization of Low Precision and Structured Compression. - Sai Kiran Cherupally; Gaurav Srivastava 001; Shihui Yin; Deepak Kadetotad; Chisung Bae; Sang Joon Kim; Jae-sun Seo (ISCAS, 2019)

ECG Authentication Hardware Design With Low-Power Signal Processing and Neural Network Optimization With Low Precision and Structured Compression. - Sai Kiran Cherupally; Shihui Yin; Deepak Kadetotad; Gaurav Srivastava 001; Chisung Bae; Sang Joon Kim; Jae-sun Seo (IEEE Trans. Biomed. Circuits Syst., 2020)

VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. - Shaunak Mishra; Mikhail Kuznetsov; Gaurav Srivastava 001; Maxim Sviridenko (KDD, 2021)

Training and challenging models for text-guided fashion image retrieval. - Eric Dodds; Jack Culpepper; Gaurav Srivastava 001 (CoRR, 2022)

LiMAML: Personalization of Deep Recommender Models via Meta Learning. - Ruofan Wang; Prakruthi Prabhakar; Gaurav Srivastava 001; Tianqi Wang; Zeinab S. Jalali; Varun Bharill; Yunbo Ouyang; Aastha Nigam; Divya Venugopalan; Aman Gupta; Fedor Borisyuk; S. Sathiya Keerthi; et al. (KDD, 2024)

From Features to Transformers: Redefining Ranking for Scalable Impact. - Fedor Borisyuk; Lars Hertel; Ganesh Parameswaran; Gaurav Srivastava 001; Sudarshan Srinivasa Ramanujam; Borja Ocejo; Peng Du; Andrei Akterskii; Neil Daftary; Shao Tang; Daqi Sun; Qiang Charles Xiao; et al. (CoRR, 2025)