Sunny Verma
Sunny Verma
University Of Technology, Sydney
Verified email at
Cited by
Cited by
DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis
S Verma, C Wang, L Zhu, W Liu
IJCAI 2019, 2019
Variational Co-embedding Learning for Attributed Network Clustering
S Yang, S Verma, B Cai, J Jiang, K Yu, F Chen, S Yu
arXiv preprint arXiv:2104.07295, 2021
Imitation Learning: Progress, Taxonomies and Challenges
B Zheng, S Verma, J Zhou, IW Tsang, F Chen
IEEE Transactions on Neural Networks and Learning Systems, 1-16, 2022
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
S Verma, J Wang, Z Ge, R Shen, F Jin, Y Wang, F Chen, W Liu
ICDM: International Conference on Data Mining, 2020, 561--570, 2020
Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection
MH Lim, S Verma, G Mai, PC Yuen
Pattern Recognition 60, 706-719, 2016
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Y Li, J Zhou, S Verma, F Chen
arXiv preprint arXiv:2207.12599, 2022
Hybrid networks: Improving deep learning networks via integrating two views of images
S Verma, W Liu, C Wang, L Zhu
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization.
S Verma, W Liu, C Wang, L Zhu
AAAI, 4995-4996, 2017
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
J Zhou, S Verma, M Mittal, F Chen
2021 8th International Conference on Behavioral and Social Computing (BESC), 1-5, 2021
Detection of anomalous traffic patterns and insight analysis from bus trajectory data
X Zhang, X Zhang, S Verma, Y Liu, M Blumenstein, J Li
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
Attn-HybridNet: improving discriminability of hybrid features with attention fusion
S Verma, C Wang, L Zhu, W Liu
IEEE Transactions on Cybernetics 52 (7), 6567-6578, 2021
A Compliance Checking Framework for DNN Models
S Verma, C Wang, L Zhu, W Liu
IJCAI 2019, 2019
Are Graph Neural Network Explainers Robust to Graph Noises?
Y Li, S Verma, S Yang, J Zhou, F Chen
AI 2022: Advances in Artificial Intelligence: 35th Australasian Joint …, 2022
Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation
T Zheng, S Verma, W Liu
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
Fairness and Cost Constrained Privacy-Aware Record Linkage
N Wu, D Vatsalan, S Verma, MA Kaafar
IEEE Transactions on Information Forensics and Security 17, 2644-2656, 2022
A Data Driven Approach for Leak Detection with Smart Sensors
B Liang, S Verma, J Xu, S Liang, Z Li, Y Wang, F Chen
2020 16th International Conference on Control, Automation, Robotics and …, 2020
Enhancing Sydney Water’s Leak Prevention Through Acoustic Monitoring
R Nikoloska, L Bykerk, D Vitanage, JV Miro, F Chen, Y Wang, B Liang, ...
Water e-Journal, 2020
DDoD: Dual Denial of Decision Attacks on Human-AI Teams
B Tag, N van Berkel, S Verma, BZH Zhao, S Berkovsky, D Kaafar, ...
IEEE Pervasive Computing, 2023
Imitation Learning: Progress, Taxonomies and Opportunities
B Zheng, S Verma, J Zhou, I Tsang, F Chen
arXiv preprint arXiv:2106.12177, 2021
Common and Unique Feature Learning for Data Fusion
S Verma
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