| 2025 | COLING | Improving Tool Retrieval by Leveraging Large Language Models for Query Generation. | Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar, Puyang Xu, Xiaohu Liu |
| 2025 | WCNC | Optimal Beamforming Design for ISAC with Sensor-Aided Active RIS. | Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan |
| 2024 | ACCV | Building Usage Classification in Indian Cities: Utilizing Street View Images and Object Detection Models. | Yamini Sahu, Vasu Dhull, Satyajeet Shashwat, Vaibhav Kumar |
| 2024 | ACCV | Spatial Clustering and Machine Learning for Crime Prediction: A Case Study on Women Safety in Bhopal. | Yamini Sahu, Vaibhav Kumar |
| 2024 | ICLR | Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning. | Rishi Gupta, Vaibhav Kumar |
| 2024 | ICPR | Deep Learning-Based Building Footprint Extraction from UAV Acquired Fused Spectral and Elevation Information. | Mohit Limba, Vaibhav Kumar |
| 2024 | ICPR | Generation of Dense Urban Features Using Conditional GANs. | Anurag Nihal, Vaibhav Kumar |
| 2024 | INLG | Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. | Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang |
| 2024 | NAACL | Planning and Editing What You Retrieve for Enhanced Tool Learning. | Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen |
| 2024 | NAACL | X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. | Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang |
| 2024 | VTS | Unified Functional Safety Framework for advance multi-domain SoCs combining ISO 26262 & IEC61508. | Gulroz Singh, Ankit Hegde, Vaibhav Kumar |
| 2023 | ACL | Controlled Text Generation with Hidden Representation Transformations. | Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara |
| 2023 | GLOBECOM | SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication. | Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst, Le-Nam Tran, Mark F. Flanagan |
| 2023 | ICLR | pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization. | Abhishek Kuriyal, Vaibhav Kumar |
| 2023 | ICLR | AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION. | Arkapal Panda, Tanmay Basu, Vaibhav Kumar |
| 2023 | VTC | A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting. | Vaibhav Kumar, Anastasios K. Papazafeiropoulos, Muhammad Fainan Hanif, Le-Nam Tran, Mark F. Flanagan |
| 2023 | VTS | Innovation Practices Track: VLSI Functional Safety. | Fei Su, Meirav Nitzan, Ankush Sethi, Vaibhav Kumar, Dan Alexandrescu |
| 2022 | GLOBECOM | On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. | Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran |
| 2022 | VTC | On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels. | Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng, Le-Nam Tran |
| 2021 | GLOBECOM | On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel. | Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran |
| 2020 | ACL | ClarQ: A large-scale and diverse dataset for Clarification Question Generation. | Vaibhav Kumar, Alan W. Black |
| 2020 | CIKM | Ranking Clarification Questions via Natural Language Inference. | Vaibhav Kumar, Vikas Raunak, Jamie Callan |
| 2020 | EMNLP | Making Information Seeking Easier: An Improved Pipeline for Conversational Search. | Vaibhav Kumar, Jamie Callan |
| 2020 | IJCNN | ATT: Attention-based Timbre Transfer. | Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar |
| 2020 | SIGIR | CAsT-19: A Dataset for Conversational Information Seeking. | Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan |
| 2019 | ACL | De-Mixing Sentiment from Code-Mixed Text. | Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn |
| 2019 | ICTD | Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai. | Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana |
| 2018 | CIKM | RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. | Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2018 | CIKM | HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | CIKM | Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | ECIR | Neural Content-Collaborative Filtering for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma |
| 2018 | GLOBECOM | Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying. | Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan |
| 2018 | SIGIR | Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. | Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma |
| 2017 | GLOBECOM | Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. | Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan |
| 2017 | ICDM | Leveraging Moderate User Data for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma |
| 2017 | ICDM | User Profiling Based Deep Neural Network for Temporal News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | ICDM | Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma |
| 2017 | PIMRC | Physical-layer network coding with multiple antennas: An enabling technology for smart cities. | Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan |
| 2016 | APCC | A simulation framework for capacity analysis in TV white space. | Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath |
| 2016 | PIMRC | Amplify-and-forward relay based spectrum sensing with generalized selection combining. | Vaibhav Kumar, Deep Chandra Kandpal, Ranjan Gangopadhyay, Soumitra Debnath |