| 2026 | WACV | DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection. | Aayushma Pant, Lakpa Dorje Tamang, Tsz-Kwan Lee, Sunil Aryal |
| 2025 | CIKM | MissDDIM: Deterministic and Efficient Conditional Diffusion for Tabular Data Imputation. | Youran Zhou, Mohamed Reda Bouadjenek, Sunil Aryal |
| 2025 | ECAI | HI-PMK: A Data-Dependent Kernel for Incomplete Heterogeneous Data Representation. | Youran Zhou, Mohamed Reda Bouadjenek, Jonathan R. Wells, Sunil Aryal |
| 2025 | WWW | Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness. | Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal |
| 2024 | ICDM | Margin-Bounded Confidence Scores for Out-of-Distribution Detection. | Lakpa Dorje Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal |
| 2023 | ICONIP | Detection of Anomalies and Explanation in Cybersecurity. | Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao |
| 2023 | IJCNN | Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. | Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal |
| 2023 | PAKDD | Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. | Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay |
| 2022 | WISE | sGrid++: Revising Simple Grid Based Density Estimator for Mining Outlying Aspect. | Durgesh Samariya, Jiangang Ma, Sunil Aryal |
| 2021 | IJCNN | SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. | Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh |
| 2020 | IJCNN | HDF: Hybrid Deep Features for Scene Image Representation. | Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu |
| 2020 | WISE | A New Effective and Efficient Measure for Outlying Aspect Mining. | Durgesh Samariya, Sunil Aryal, Kai Ming Ting, Jiangang Ma |
| 2019 | ICONIP | Tag-Based Semantic Features for Scene Image Classification. | Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu |
| 2019 | PSIVT | Unsupervised Deep Features for Privacy Image Classification. | Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu |
| 2018 | ICDM | Which Outlier Detector Should I use? | Kai Ming Ting, Sunil Aryal, Takashi Washio |
| 2018 | ICONIP | Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. | Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein |
| 2018 | IVCNZ | Image Clustering Using a Similarity Measure Incorporating Human Perception. | Hamid Shojanazeri, Sunil Aryal, Shyh Wei Teng, Dengsheng Zhang, Guojun Lu |
| 2018 | IVCNZ | A Novel Perceptual Dissimilarity Measure for Image Retrieval. | Hamid Shojanazeri, Dengsheng Zhang, Shyh Wei Teng, Sunil Aryal, Guojun Lu |
| 2018 | PAKDD | Anomaly Detection Technique Robust to Units and Scales of Measurement. | Sunil Aryal |
| 2014 | ICDM | Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. | Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio |
| 2014 | PAKDD | Improving iForest with Relative Mass. | Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio |
| 2013 | PAKDD | MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation. | Sunil Aryal, Kai Ming Ting |