Vidya Saikrishna

According to our database, Vidya Saikrishna authored at least 17 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Graph Learning.

Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong

CoRR, July, 2025

Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia

CoRR, May, 2025

Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia

CoRR, January, 2025

2024

Adaptive Spatio-temporal Graph Learning for Bus Station Profiling.

Mingliang Hou, Feng Xia, Xin Chen, Vidya Saikrishna, Honglong Chen

ACM Trans. Spatial Algorithms Syst., September, 2024

Deepfake video detection: challenges and opportunities.

Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, Selena Firmin, Feng Xia

Artif. Intell. Rev., June, 2024

Attributed Graph Force Learning.

Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach.

Haiyang Liu, Yang Zhang, Vidya Saikrishna, Quanquan Tian, Kun Zheng

CoRR, 2024

2023

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection.

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia

CoRR, 2023

Deep Outdated Fact Detection in Knowledge Graphs.

Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor

Proceedings of the IEEE International Conference on Data Mining, 2023

Subgraph Federated Learning with Global Graph Reconstruction.

Zhi Liu, Hanlin Zhou, Feng Xia, Guojiang Shen, Vidya Saikrishna, Xiaohua He, Jiaxin Du, Xiangjie Kong

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Physics-Informed Graph Learning: A Survey.

Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu

CoRR, 2022

COVID-19 datasets: A brief overview.

Ke Sun, Wuyang Li, Vidya Saikrishna, Mehmood Chadhar, Feng Xia

Comput. Sci. Inf. Syst., 2022

Physics-Informed Graph Learning.

Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features.

Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

MML Inference of Hierarchical Probabilistic Finite State Machine.

Vidya Saikrishna, Sid Ray

Proceedings of the Cybersecurity and Cyberforensics Conference, 2019

2017

Learning and Inference of Probabilistic Finite State Machines using MML and Applications to Classification Problem.

Vidya Saikrishna

PhD thesis, 2017

2015

MML inference of Finite State Automata for probabilistic spam detection.

Vidya Saikrishna, David L. Dowe, Sid Ray

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015