Nikhil Rao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
15
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SIGIR | Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research. | Corbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao |
| 2024 | ACL | Dodo: Dynamic Contextual Compression for Decoder-only LMs. | Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme |
| 2024 | ASPLOS | A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors. | Reese Kuper, Ipoom Jeong, Yifan Yuan, Ren Wang, Narayan Ranganathan, Nikhil Rao, Jiayu Hu, Sanjay Kumar, Philip Lantz, Nam Sung Kim |
| 2024 | ISCA | Intel Accelerators Ecosystem: An SoC-Oriented Perspective : Industry Product. | Yifan Yuan, Ren Wang, Narayan Ranganathan, Nikhil Rao, Sanjay Kumar, Philip Lantz, Vivekananthan Sanjeepan, Jorge Cabrera, Atul Kwatra, Rajesh Sankaran, Ipoom Jeong, Nam Sung Kim |
| 2024 | NAACL | Automatic Pair Construction for Contrastive Post-training. | Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao |
| 2024 | WWW | MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. | Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang |
| 2023 | WSDM | Search Behavior Prediction: A Hypergraph Perspective. | Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian |
| 2022 | ICLR | Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. | Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian |
| 2022 | KDD | Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. | Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy |
| 2022 | KDD | Hyperbolic Neural Networks: Theory, Architectures and Applications. | Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy |
| 2022 | KDD | Learning Backward Compatible Embeddings. | Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | WWW | ALLIE: Active Learning on Large-scale Imbalanced Graphs. | Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee |
| 2022 | WSDM | ANTHEM: Attentive Hyperbolic Entity Model for Product Search. | Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
| 2021 | AAAI | Finding Needles in Heterogeneous Haystacks. | Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian |
| 2021 | KDD | Workshop on Data-Efficient Machine Learning (DeMaL). | Sumeet Katariya, Nikhil Rao, Chandan K. Reddy |
| 2021 | KDD | Bipartite Dynamic Representations for Abuse Detection. | Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | WWW | Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. | Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
| 2021 | SIGIR | Learning with Little Data: Industry Challenges and Innovations. | Nikhil Rao |
| 2020 | ACL | Learning Robust Models for e-Commerce Product Search. | Thanh V. Nguyen, Nikhil Rao, Karthik Subbian |
| 2020 | AISTATS | Scalable Feature Selection for (Multitask) Gradient Boosted Trees. | Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian |
| 2020 | AISTATS | Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. | Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh |
| 2020 | COLING | Regularized Graph Convolutional Networks for Short Text Classification. | Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar |
| 2020 | WSDM | Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. | Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
| 2018 | WWW | A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. | Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy |
| 2018 | WSDM | Dynamic Word Embeddings for Evolving Semantic Discovery. | Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong |
| 2017 | AAAI | On Learning High Dimensional Structured Single Index Models. | Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak |
| 2017 | ICASSP | The group k-support norm for learning with structured sparsity. | Nikhil Rao, Miroslav Dudk, Zad Harchaoui |
| 2016 | KDD | Goal-Directed Inductive Matrix Completion. | Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon |
| 2016 | LANMAN | An IoT control plane model and its impact analysis on a virtualized MME for connected cars. | Rennie Archibald, Dhruv Gupta, Rittwik Jana, Vijay Gopalakrishnan, Ashok Sunder Rajan, Kannan Babu Ramia, Dan Dahle, Jacob Cooper, George Kennedy, Nikhil Rao, Shantkumar Sonnads, Martin Mcdonald |
| 2014 | ACSSC | Forward - Backward greedy algorithms for signal demixing. | Nikhil Rao, Parikshit Shah, Stephen J. Wright |
| 2013 | ICASSP | A greedy forward-backward algorithm for atomic norm constrained minimization. | Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak |
| 2012 | ICASSP | A clustering approach to optimize online dictionary learning. | Nikhil Rao, Fatih Porikli |