| 2024 | ACL | Fooling the Textual Fooler via Randomizing Latent Representations. | Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan |
| 2024 | ECCV | Aligning Vision Language Models with Contrastive Learning. | Kenan E. Ak, Jay Mohta, Dimitris Dimitriadis, Saurav Manchanda, Yan Xu, Mingwei Shen |
| 2024 | EMNLP | 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 |
| 2023 | CIKM | Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. | Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang |
| 2023 | CIKM | Metapath-Guided Data-Augmentation For Knowledge Graphs. | Saurav Manchanda |
| 2021 | AAAI | Importance Assessment in Scholarly Networks. | Saurav Manchanda, George Karypis |
| 2021 | EMNLP | Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. | Saurav Manchanda, George Karypis |
| 2021 | SIGIR | Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. | Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy |
| 2020 | AAAI | CAWA: An Attention-Network for Credit Attribution. | Saurav Manchanda, George Karypis |
| 2019 | CIKM | Intent Term Weighting in E-commerce Queries. | Saurav Manchanda, Mohit Sharma, George Karypis |
| 2018 | ICDM | Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. | Saurav Manchanda, George Karypis |
| 2018 | PAKDD | Distributed Representation of Multi-sense Words: A Loss Driven Approach. | Saurav Manchanda, George Karypis |