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IEEE Transactions on Neural Networks and Learning Systems|October 9, 2025
Distill to Delete: Unlearning in Graph Networks With Knowledge DistillationYash Sinha, Murari Mandal, Mohan KankanhalliIEEE Transactions on Neural Networks and Learning Systems|May 1, 2023
Fast Yet Effective Machine UnlearningAyush K Tarun, Vikram S Chundawat, Murari Mandal, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|February 7, 2022
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown TasksXudong Shen, Yongkang Wong, Mohan KankanhalliIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 29, 2021
Unsupervised Abstract Reasoning for Raven's Problem MatricesTao Zhuo, Qiang Huang, Mohan KankanhalliIEEE Transactions on Pattern Analysis and Machine Intelligence|March 23, 2022
Point Spatio-Temporal Transformer Networks for Point Cloud Video ModelingHehe Fan, Yi Yang, Mohan KankanhalliIEEE Transactions on Pattern Analysis and Machine Intelligence|January 7, 2020
Direction Concentration Learning: Enhancing Congruency in Machine LearningYan Luo, Yongkang Wong, Mohan Kankanhalli, et al.IEEE Transactions on Neural Networks and Learning Systems|February 15, 2024
Learning to Predict Gradients for Semi-Supervised Continual LearningYan Luo, Yongkang Wong, Mohan Kankanhalli, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|December 14, 2021
Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal DecompositionHehe Fan, Xin Yu, Yi Yang, et al.IEEE Transactions on Neural Networks and Learning Systems|May 17, 2019
G -Softmax: Improving Intraclass Compactness and Interclass Separability of FeaturesYan Luo, Yongkang Wong, Mohan Kankanhalli, et al.IEEE Transactions on Visualization and Computer Graphics|April 11, 2025
STAR: Skeleton-aware Text-based 4D Avatar Generation with in-Network Motion RetargetingZenghao Chai, Chen Tang, Yongkang Wong, et al.Pageof 5