Saurav Manchanda

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Similarity Computation

Cost Minimization

Text Segmentation

Display Advertising

Top Venues

Publications

Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan
Fooling the Textual Fooler via Randomizing Latent Representations. ACL (Findings) (2024)
Quang H. Nguyen, Duy C. Hoang, Juliette Decugis, Saurav Manchanda, Nitesh V. Chawla, Khoa D. Doan
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs. CoRR (2024)
Saurav Manchanda
Metapath-Guided Data-Augmentation For Knowledge Graphs. CIKM (2023)
Duy C. Hoang, Quang H. Nguyen, Saurav Manchanda, MinLong Peng, Kok-Seng Wong, Khoa D. Doan
Fooling the Textual Fooler via Randomizing Latent Representations. CoRR (2023)
Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. CIKM (2023)
Saurav Manchanda
Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs. CoRR (2022)
Yuqing Xie, Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, Haixun Wang
An Embedding-Based Grocery Search Model at Instacart. CoRR (2022)
Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. SIGIR (2021)
Saurav Manchanda, George Karypis
Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. EMNLP (1) (2021)
Saurav Manchanda, Da Zheng, George Karypis
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. CoRR (2021)
Saurav Manchanda, Mohit Sharma, George Karypis
Distant-Supervised Slot-Filling for E-Commerce Queries. IEEE BigData (2021)
Saurav Manchanda, George Karypis
Importance Assessment in Scholarly Networks. SDU@AAAI (2021)
Saurav Manchanda, Da Zheng, George Karypis
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. IEEE BigData (2021)
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. CoRR (2020)
Saurav Manchanda, Mohit Sharma, George Karypis
Distant-Supervised Slot-Filling for E-Commerce Queries. CoRR (2020)
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
Targeted display advertising: the case of preferential attachment. CoRR (2020)
Saurav Manchanda, Khoa Doan, Pranjul Yadav, S. Sathiya Keerthi
Regression via Implicit Models and Optimal Transport Cost Minimization. CoRR (2020)
Saurav Manchanda, George Karypis
CAWA: An Attention-Network for Credit Attribution. AAAI (2020)
Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. CoRR (2020)
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
Targeted display advertising: the case of preferential attachment. IEEE BigData (2019)
Saurav Manchanda, Mohit Sharma, George Karypis
Intent Term Weighting in E-commerce Queries. CIKM (2019)
Saurav Manchanda, George Karypis
Distributed representation of multi-sense words: A loss-driven approach. CoRR (2019)
Saurav Manchanda, Mohit Sharma, George Karypis
Intent term selection and refinement in e-commerce queries. CoRR (2019)
Saurav Manchanda, George Karypis
CAWA: An Attention-Network for Credit Attribution. CoRR (2019)
Saurav Manchanda, George Karypis
Text segmentation on multilabel documents: A distant-supervised approach. CoRR (2019)
Saurav Manchanda, George Karypis
Distributed Representation of Multi-sense Words: A Loss Driven Approach. PAKDD (2) (2018)
Saurav Manchanda, George Karypis
Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. ICDM (2018)