Vidya Saikrishna

22 papers A 2B 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SIGNL: A label-efficient audio deepfake detection system via spectral-temporal graph non-contrastive learning. Expert Syst. Appl. Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna
2025	J	`jnl`	Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. ACM Trans. Intell. Syst. Technol. Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia
2025	J	`jnl`	Graph Learning. CoRR Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025	J	`jnl`	Graph Learning. Found. Trends Signal Process. Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025	A	`conf`	Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection. INTERSPEECH Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia
2025	J	`jnl`	Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection. CoRR Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia
2025	J	`jnl`	Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels. CoRR Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia
2024	J	`jnl`	Adaptive Spatio-temporal Graph Learning for Bus Station Profiling. ACM Trans. Spatial Algorithms Syst. Mingliang Hou, Feng Xia, Xin Chen, Vidya Saikrishna, Honglong Chen
2024	J	`jnl`	Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
2024	J	`jnl`	Deep Outdated Fact Detection in Knowledge Graphs. CoRR Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor
2024	J	`jnl`	Deepfake video detection: challenges and opportunities. Artif. Intell. Rev. Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, Selena Firmin, Feng Xia
2024	J	`jnl`	Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach. CoRR Haiyang Liu, Yang Zhang, Vidya Saikrishna, Quanquan Tian, Kun Zheng
2023	—	`conf`	Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor
2023	J	`jnl`	Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. CoRR Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia
2023	—	`conf`	Subgraph Federated Learning with Global Graph Reconstruction. APWeb-WAIM (1) Zhi Liu, Hanlin Zhou, Feng Xia, Guojiang Shen, Vidya Saikrishna, Xiaohua He, Jiaxin Du, Xiangjie Kong
2022	J	`jnl`	COVID-19 datasets: A brief overview. Comput. Sci. Inf. Syst. Ke Sun, Wuyang Li, Vidya Saikrishna, Mehmood Chadhar, Feng Xia
2022	—	`conf`	Physics-Informed Graph Learning. ICDM (Workshops) Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu
2022	J	`jnl`	Physics-Informed Graph Learning: A Survey. CoRR Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu
2021	B	`conf`	In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features. IJCNN Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia
2019	A	`conf`	MML Inference of Hierarchical Probabilistic Finite State Machine. CCC Vidya Saikrishna, Sid Ray
2017	—	`—`	Learning and Inference of Probabilistic Finite State Machines using MML and Applications to Classification Problem. Vidya Saikrishna
2015	—	`conf`	MML inference of Finite State Automata for probabilistic spam detection. ICAPR Vidya Saikrishna, David L. Dowe, Sid Ray