Towards Activity Recommendation from Lifelogs. - Gunjan Kumar; Houssem Jerbi; Cathal Gurrin; Michael P. O'Mahony (iiWAS, 2014)

New online algorithm for dynamic speed scaling with sleep state. - Gunjan Kumar; Saswata Shannigrahi (Theor. Comput. Sci., 2015)

On the NP-hardness of speed scaling with sleep state. - Gunjan Kumar; Saswata Shannigrahi (Theor. Comput. Sci., 2015)

Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain. - Gunjan Kumar; Houssem Jerbi; Michael P. O'Mahony (RecTour@RecSys, 2017)

The Complexity of Partial Function Extension for Coverage Functions. - Umang Bhaskar; Gunjan Kumar (APPROX-RANDOM, 2019)

A Non-Extendibility Certificate for Submodularity and Applications. - Umang Bhaskar; Gunjan Kumar (COCOON, 2020)

Partial Function Extension with Applications to Learning and Property Testing. - Umang Bhaskar; Gunjan Kumar (ISAAC, 2020)

Parallel Machine Scheduling to Minimize Energy Consumption. - Antonios Antoniadis 001; Naveen Garg 001; Gunjan Kumar; Nikhil Kumar 001 (SODA, 2020)

A Deep Multi-modal Neural Network for the Identification of Hate Speech from Social Media. - Gunjan Kumar; Jyoti Prakash Singh; Abhinav Kumar 005 (I3E, 2021)

Skeletons and Minimum Energy Scheduling. - Antonios Antoniadis 001; Gunjan Kumar; Nikhil Kumar 001 (ISAAC, 2021)

A sequence-based and context modelling framework for recommendation. - Gunjan Kumar; Houssem Jerbi; Michael P. O'Mahony (Expert Syst. Appl., 2021)

Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages using Machine Learning Models. - Gunjan Kumar; Jyoti Prakash Singh (FIRE (Working Notes), 2022)

Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. - Abishek Thangamuthu; Gunjan Kumar; Suresh Bishnoi; Ravinder Bhattoo; N. M. Anoop Krishnan; Sayan Ranu (NeurIPS, 2022)

Classification of Offensive Tweet in Marathi Language Using Machine Learning Models. - Archana Kumari; Archana Garge; Priyanshu Raj; Gunjan Kumar; Jyoti Prakash Singh; Mohammad Alryalat (CICBA (1), 2023)

Approximate Model Counting: Is SAT Oracle More Powerful Than NP Oracle? - Diptarka Chakraborty; Sourav Chakraborty 001; Gunjan Kumar; Kuldeep S. Meel (ICALP, 2023)

Support Size Estimation: The Power of Conditioning. - Diptarka Chakraborty; Gunjan Kumar; Kuldeep S. Meel (MFCS, 2023)

Tolerant Testing of High-Dimensional Samplers with Subcube Conditioning. - Gunjan Kumar; Kuldeep S. Meel; Yash Pote (CoRR, 2023)

Equivalence Testing: The Power of Bounded Adaptivity. - Diptarka Chakraborty; Sourav Chakraborty 001; Gunjan Kumar; Kuldeep S. Meel (AISTATS, 2024)

Sustainable Model Village Through Village Integrated Command and Control Center - DigiGram. - Kumar Satyam; Akshay Tripathi; N. P. Pathak; Ashish Kumar; Abhishek Tiwari; Gunjan Kumar (ITU K, 2024)

Tight Lower Bound on Equivalence Testing in Conditional Sampling Model. - Diptarka Chakraborty; Sourav Chakraborty 001; Gunjan Kumar (SODA, 2024)

EF1 Allocations for Identical Trilean and Separable Single-Peaked Valuations. - Umang Bhaskar; Gunjan Kumar; Yeshwant Pandit; Rakshitha (CoRR, 2024)

Autoencoder-Based Feature Extraction for Identifying Hate Speech Spreaders in Social Media. - Gunjan Kumar; Jyoti Prakash Singh; Amit Kumar Singh 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Distance Estimation for High-Dimensional Discrete Distributions. - Kuldeep S. Meel; Gunjan Kumar; Yash Pote (AISTATS, 2025)

Towards Envy-Freeness Relaxations for General Nonmonotone Valuations. - Umang Bhaskar; Gunjan Kumar; Yeshwant Pandit; Rakshitha (AAMAS, 2025)