Kernelization and Parameterized Complexity of Star Editing and Union Editing. - Jiong Guo; Yash Raj Shrestha (ISAAC, 2012)

Parameterized Complexity of Edge Interdiction Problems. - Jiong Guo; Yash Raj Shrestha (COCOON, 2014)

Controlling Two-Stage Voting Rules. - Jiong Guo; Yash Raj Shrestha (ECAI, 2014)

Complexity of Disjoint Π-Vertex Deletion for Disconnected Forbidden Subgraphs. - Jiong Guo; Yash Raj Shrestha (J. Graph Algorithms Appl., 2014)

How Credible is the Prediction of a Party-Based Election? - Jiong Guo; Yash Raj Shrestha; Yongjie Yang 001 (AAMAS, 2015)

How Hard is Bribery in Party Based Elections? - Yongjie Yang 001; Yash Raj Shrestha; Jiong Guo (AAMAS, 2015)

When Does Schwartz Conjecture Hold? - Matthias Mnich; Yash Raj Shrestha; Yongjie Yang 001 (IJCAI, 2015)

How Hard Is Bribery with Distance Restrictions? - Yongjie Yang 001; Yash Raj Shrestha; Jiong Guo (ECAI, 2016)

Kernelization of Two Path Searching Problems on Split Graphs. - Yongjie Yang 001; Yash Raj Shrestha; Wenjun Li 001; Jiong Guo (FAW, 2016)

On the kernelization of split graph problems. - Yongjie Yang 001; Yash Raj Shrestha; Wenjun Li 001; Jiong Guo (Theor. Comput. Sci., 2018)

Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems. - Yash Raj Shrestha; Yongjie Yang 001 (Algorithms, 2019)

On the complexity of bribery with distance restrictions. - Yongjie Yang 001; Yash Raj Shrestha; Jiong Guo (Theor. Comput. Sci., 2019)

Bridging Data Science and Organization Science: Leveraging Algorithmic Induction to Research Online Communities. - Yash Raj Shrestha (2019)

Adversarial Learning for Debiasing Knowledge Graph Embeddings. - Mario Arduini; Lorenzo Noci; Federico Pirovano; Ce Zhang; Yash Raj Shrestha; Bibek Paudel (CoRR, 2020)

A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records. - Leopold Franz; Yash Raj Shrestha; Bibek Paudel (CoRR, 2020)

Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges. - Yash Raj Shrestha; Vaibhav Krishna; Georg von Krogh (CoRR, 2020)

Towards Automatic Bias Detection in Knowledge Graphs. - Daphna Keidar; Mian Zhong; Ce Zhang; Yash Raj Shrestha; Bibek Paudel (EMNLP (Findings), 2021)

Bringing artificial intelligence to business management. - Stefan Feuerriegel; Yash Raj Shrestha; Georg von Krogh; Ce Zhang 001 (Nat. Mach. Intell., 2022)

Artificial Intelligence-Augmented Decision Making in supply Chain Monitoring: an Action Design Research Study. - Savindu Herath Pathirannehelage; Jóhann G. Jóhannsson; Yash Raj Shrestha; Georg von Krogh (ECIS, 2023)

Employing Machine Learning to Advance Agent-based Modeling in Information Systems Research. - Amirsiavosh Bashardoust; Negin Safaei; Kazem Haki; Yash Raj Shrestha (ICIS, 2023)

Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning. - Michalis Vlachos; Mircea Lungu; Yash Raj Shrestha; Johannes-Rudolf David (CoRR, 2023)

ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis. - Sandesh Pokhrel; Sanjay Bhandari; Eduard Vazquez; Yash Raj Shrestha; Binod Bhattarai (CoRR, 2023)

Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis. - Sandesh Pokhrel; Sanjay Bhandari; Eduard Vazquez; Yash Raj Shrestha; Binod Bhattarai (CoRR, 2023)

Building open-source AI. - Yash Raj Shrestha; Georg von Krogh; Stefan Feuerriegel (Nat. Comput. Sci., 2023)

Difficulty Estimation and Simplification of French Text Using LLMs. - Henri Jamet; Yash Raj Shrestha; Michalis Vlachos (ITS (1), 2024)

Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation. - Sandesh Pokhrel; Sanjay Bhandari; Eduard Vazquez; Yash Raj Shrestha; Binod Bhattarai (DEMI@MICCAI, 2024)

CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. - Pranav Poudel; Prashant Shrestha; Sanskar Amgain; Yash Raj Shrestha; Prashnna K. Gyawali; Binod Bhattarai (MICCAI (10), 2024)

Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning. - Henri Jamet; Maxime Manderlier; Yash Raj Shrestha; Michalis Vlachos (RecSys, 2024)

The Effect of Education in Prompt Engineering: Evidence from Journalists. - Amirsiavosh Bashardoust; Yuanjun Feng; Dominique Geissler; Stefan Feuerriegel; Yash Raj Shrestha (CoRR, 2024)

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision. - Sandesh Pokhrel; Sanjay Bhandari; Sharib Ali; Tryphon Lambrou; Anh Nguyen 003; Yash Raj Shrestha; Angus Watson; Danail Stoyanov; Prashnna K. Gyawali; Binod Bhattarai (CoRR, 2024)

Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News. - Amirsiavosh Bashardoust; Stefan Feuerriegel; Yash Raj Shrestha (Proc. ACM Hum. Comput. Interact., 2024)

Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit. - Sandesh Pokhrel; Sanjay Bhandari; Sharib Ali; Tryphon Lambrou; Anh Nguyen 003; Yash Raj Shrestha; Angus Watson; Danail Stoyanov; Prashnna K. Gyawali; Binod Bhattarai (MIUA (2), 2025)

Contextualizing Recommendation Explanations with LLMs: A User Study. - Yuanjun Feng; Stefan Feuerriegel; Yash Raj Shrestha (CoRR, 2025)

Surgical Vision World Model. - Saurabh Koju; Saurav Bastola; Prashant Shrestha; Sanskar Amgain; Yash Raj Shrestha; Rudra P. K. Poudel; Binod Bhattarai (CoRR, 2025)

Design principles for artificial intelligence-augmented decision making: An action design research study. - Savindu Herath Pathirannehelage; Yash Raj Shrestha; Georg von Krogh (Eur. J. Inf. Syst., 2025)

Human aversion? Do AI Agents Judge Identity More Harshly Than Performance. - Yuanjun Feng; Vivek Chodhary; Yash Raj Shrestha (CoRR, 2025)

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models. - Bidur Khanal; Sandesh Pokhrel; Sanjay Bhandari; Ramesh Rana; Nikesh Shrestha; Ram Bahadur Gurung; Cristian A. Linte; Angus Watson; Yash Raj Shrestha; Binod Bhattarai (CoRR, 2025)