Design and development of an effective ball catching robotic arm with 3DOF. - Kartik Sharma; Gianetan Singh Sekhon (CCSEIT, 2012)

Modelling of autonomic regulation in cardiovascular system based on baroreflex mechanism and overwhelming controller. - Kartik Sharma; Tarun Kumar Bera (J. Syst. Control. Eng., 2017)

Hiding Data in Images Using Cryptography and Deep Neural Network. - Kartik Sharma; Ashutosh Aggarwal; Tanay Singhania; Deepak Gupta 002; Ashish Khanna (CoRR, 2019)

When risks need attention: adoption of green supply chain initiatives in the pharmaceutical industry. - Anil Kumar 008; Edmundas Kazimieras Zavadskas; Sachin Kumar Mangla; Varun Agrawal; Kartik Sharma; Divyanshu Gupta (Int. J. Prod. Res., 2019)

Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication. - Kartik Sharma; Niyati Bafna; Samar Husain (CMLS, 2021)

Balance Maximization in Signed Networks via Edge Deletions. - Kartik Sharma; Iqra Altaf Gillani; Sourav Medya; Sayan Ranu; Amitabha Bagchi (WSDM, 2021)

A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction. - Arshveer Kaur; Poonam Goyal; Kartik Sharma; Lakshay Sharma; Navneet Goyal (IEEE Big Data, 2022)

Signed Link Representation in Continuous-Time Dynamic Signed Networks. - Mohit Raghavendra; Kartik Sharma; Anand Kumar M; Srijan Kumar (CoRR, 2022)

Task and Model Agnostic Adversarial Attack on Graph Neural Networks. - Kartik Sharma; Samidha Verma; Sourav Medya; Arnab Bhattacharya 001; Sayan Ranu (AAAI, 2023)

Representation Learning in Continuous-Time Dynamic Signed Networks. - Kartik Sharma; Mohit Raghavendra; Yeon-Chang Lee; Anand Kumar M; Srijan Kumar (CIKM, 2023)

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. - Harsh Rangwani; Lavish Bansal; Kartik Sharma; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (CVPR, 2023)

Predicting Information Pathways Across Online Communities. - Yiqiao Jin; Yeon-Chang Lee; Kartik Sharma; Meng Ye 002; Karan Sikka; Ajay Divakaran; Srijan Kumar (KDD, 2023)

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. - Kartik Sharma; Rakshit Trivedi; Rohit Sridhar; Srijan Kumar (KDD, 2023)

A Survey on Explainability of Graph Neural Networks. - Jaykumar Kakkad; Jaspal Jannu; Kartik Sharma; Charu Aggarwal 001; Sourav Medya (IEEE Data Eng. Bull., 2023)

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space. - Gaurav Verma; Minje Choi; Kartik Sharma; Jamelle Watson-Daniels; Sejoon Oh; Srijan Kumar (ACL (Short Papers), 2024)

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation. - Kartik Sharma; Srijan Kumar; Rakshit Trivedi (ICML, 2024)

NoBALL: A Novel BDD-based Attack against Logic Locking. - Praveen Karmakar; Anmoldeep Singh; Kartik Sharma; Chandan Karfa; Sukanta Bhattacharjee (ITC-Asia, 2024)

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections. - Gaurav Verma; Minje Choi; Kartik Sharma; Jamelle Watson-Daniels; Sejoon Oh; Srijan Kumar (CoRR, 2024)

Who Speaks Matters: Analysing the Influence of the Speaker's Ethnicity on Hate Classification. - Ananya Malik; Kartik Sharma; Lynnette Hui Xian Ng; Shaily Bhatt (CoRR, 2024)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models. - Kartik Sharma; Peeyush Kumar; Yunqing Li (CoRR, 2024)

A Survey of Graph Neural Networks for Social Recommender Systems. - Kartik Sharma; Yeon-Chang Lee; Sivagami Nambi; Aditya Salian; Shlok Shah; Sang-Wook Kim; Srijan Kumar (ACM Comput. Surv., 2024)

Personalized Layer Selection for Graph Neural Networks. - Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Srijan Kumar; Mahashweta Das (Trans. Mach. Learn. Res., 2025)

A Thousand Words or An Image: Studying the Influence of Persona Modality in Multimodal LLMs. - Julius Broomfield; Kartik Sharma; Srijan Kumar (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. - Kartik Sharma; Yiqiao Jin; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. - Yiqiao Jin; Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)