Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. - Shivang Chopra; Ramit Sawhney; Puneet Mathur; Rajiv Ratn Shah (AAAI, 2020)

Open Domain Suggestion Mining Leveraging Fine-Grained Analysis (Workshop Paper). - Shreya Singal; Tanishq Goel; Shivang Chopra; Sonika Dahiya (BigMM, 2020)

TransSketchNet: Attention-Based Sketch Recognition Using Transformers. - Gaurav Jain; Shivang Chopra; Suransh Chopra; Anil Singh Parihar (ECAI, 2020)

Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation. - Puneet Mathur; Ramit Sawhney; Shivang Chopra; Maitree Leekha; Rajiv Ratn Shah (ECIR (2), 2020)

Open Domain Suggestion Mining Leveraging Fine-Grained Analysis. - Shreya Singal; Tanishq Goel; Shivang Chopra; Sonika Dahiya (CoRR, 2020)

SketchFormer: transformer-based approach for sketch recognition using vector images. - Anil Singh Parihar; Gaurav Jain; Shivang Chopra; Suransh Chopra (Multim. Tools Appl., 2021)

Active Data Discovery: Mining Unknown Data using Submodular Information Measures. - Suraj Kothawade; Shivang Chopra; Saikat Ghosh; Rishabh K. Iyer (CoRR, 2022)

Attention-Net: An Ensemble Sketch Recognition Approach Using Vector Images. - Gaurav Jain; Shivang Chopra; Suransh Chopra; Anil Singh Parihar (IEEE Trans. Cogn. Dev. Syst., 2022)

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. - Sachit Kuhar; Shuo Cheng; Shivang Chopra; Matthew Bronars; Danfei Xu (CoRL, 2023)

Symbiotic Artificial Intelligence: Order Picking And Ambient Sensing. - Zhe Ming Chng; Calix Tang; Darshan Krishnaswamy Haoyang Yang; Shivang Chopra; Jon Womack; Thad Starner (ICASSP Workshops, 2023)

HyWay: Enabling Mingling in the Hybrid World. - Harsh Vijay; Saumay Pushp; Amish Mittal; Praveen Gupta; Meghna Gupta; Sirish Gambhira; Shivang Chopra; Mayank Baranwal; Arshia Arya; Ajay Manchepalli; Venkata N. Padmanabhan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation. - Shivang Chopra; Suraj Kothawade; Houda Aynaou; Aman Chadha (CoRR, 2024)

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering. - Chengyue Huang; Brisa Maneechotesuwan; Shivang Chopra; Zsolt Kira (CVPR, 2025)

Directional Gradient Projection for Robust Fine-Tuning of Foundation Models. - Chengyue Huang; Junjiao Tian; Brisa Maneechotesuwan; Shivang Chopra; Zsolt Kira (ICLR, 2025)

Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation. - Sanyam Lakhanpal; Shivang Chopra; Vinija Jain; Aman Chadha; Man Luo (WACV, 2025)

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models. - Chengyue Huang; Yuchen Zhu; Sichen Zhu; Jingyun Xiao; Moises Andrade; Shivang Chopra; Zsolt Kira (CoRR, 2025)

MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding. - Shivang Chopra; Gabriela Sanchez-Rodriguez; Lingchao Mao; Andrew J. Feola; Jing Li; Zsolt Kira (CoRR, 2025)