Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. - Saurav Manchanda; George Karypis (ICDM, 2018)

Distributed Representation of Multi-sense Words: A Loss Driven Approach. - Saurav Manchanda; George Karypis (PAKDD (2), 2018)

Targeted display advertising: the case of preferential attachment. - Saurav Manchanda; Pranjul Yadav; Khoa D. Doan; S. Sathiya Keerthi (IEEE BigData, 2019)

Intent Term Weighting in E-commerce Queries. - Saurav Manchanda; Mohit Sharma 002; George Karypis (CIKM, 2019)

Intent term selection and refinement in e-commerce queries. - Saurav Manchanda; Mohit Sharma 002; George Karypis (CoRR, 2019)

CAWA: An Attention-Network for Credit Attribution. - Saurav Manchanda; George Karypis (AAAI, 2020)

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Khoa D. Doan; Amir Kimiyaie; Saurav Manchanda; Chandan K. Reddy (CoRR, 2020)

Regression via Implicit Models and Optimal Transport Cost Minimization. - Saurav Manchanda; Khoa D. Doan; Pranjul Yadav; S. Sathiya Keerthi (CoRR, 2020)

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. - Khoa D. Doan; Saurav Manchanda; Fengjiao Wang; S. Sathiya Keerthi; Avradeep Bhowmik; Chandan K. Reddy (CoRR, 2020)

Importance Assessment in Scholarly Networks. - Saurav Manchanda; George Karypis (SDU@AAAI, 2021)

Distant-Supervised Slot-Filling for E-Commerce Queries. - Saurav Manchanda; Mohit Sharma 002; George Karypis (IEEE BigData, 2021)

Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. - Saurav Manchanda; Da Zheng; George Karypis (IEEE BigData, 2021)

Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. - Saurav Manchanda; George Karypis (EMNLP (1), 2021)

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. - Khoa D. Doan; Saurav Manchanda; Suchismit Mahapatra; Chandan K. Reddy (SIGIR, 2021)

An Embedding-Based Grocery Search Model at Instacart. - Yuqing Xie 001; Taesik Na; Xiao Xiao; Saurav Manchanda; Young Rao; Zhihong Xu; Guanghua Shu; Esther Vasiete; Tejaswi Tenneti; Haixun Wang (CoRR, 2022)

Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs. - Saurav Manchanda (CoRR, 2022)

Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. - Ziyi Kou; Saurav Manchanda; Shih-Ting Lin; Min Xie 002; Haixun Wang; Xiangliang Zhang 001 (CIKM, 2023)

Metapath-Guided Data-Augmentation For Knowledge Graphs. - Saurav Manchanda (CIKM, 2023)

Fooling the Textual Fooler via Randomizing Latent Representations. - Duy C. Hoang; Quang H. Nguyen; Saurav Manchanda; Minlong Peng; Kok-Seng Wong; Khoa D. Doan (CoRR, 2023)

Fooling the Textual Fooler via Randomizing Latent Representations. - Duy C. Hoang; Nguyen Hung-Quang; Saurav Manchanda; Minlong Peng; Kok-Seng Wong; Khoa D. Doan (ACL (Findings), 2024)

Aligning Vision Language Models with Contrastive Learning. - Kenan E. Ak; Jay Mohta; Dimitris Dimitriadis; Saurav Manchanda; Yan Xu; Mingwei Shen 001 (ECCV Workshops (18), 2024)

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification. - Zeren Shui; Petros Karypis; Daniel S. Karls; Mingjian Wen; Saurav Manchanda; Ellad B. Tadmor; George Karypis (EMNLP (Findings), 2024)

MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs. - Quang H. Nguyen; Duy C. Hoang; Juliette Decugis; Saurav Manchanda; Nitesh V. Chawla; Khoa D. Doan (CoRR, 2024)