| Multimodal fusion for multimedia analysis: a survey PK Atrey, MA Hossain, A El Saddik, MS Kankanhalli Multimedia systems 16 (6), 345-379, 2010 | 1690 | 2010 |
| Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda A Abdul, J Vermeulen, D Wang, BY Lim, M Kankanhalli Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018 | 1153 | 2018 |
| Hallucination is inevitable: An innate limitation of large language models Z Xu, S Jain, M Kankanhalli arXiv preprint arXiv:2401.11817, 2024 | 848 | 2024 |
| Shape measures for content based image retrieval: a comparison BM Mehtre, MS Kankanhalli, WF Lee Information processing & management 33 (3), 319-337, 1997 | 647 | 1997 |
| Attacks which do not kill training make adversarial learning stronger J Zhang, X Xu, B Han, G Niu, L Cui, M Sugiyama, M Kankanhalli International conference on machine learning, 11278-11287, 2020 | 561 | 2020 |
| A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition Y Hu, Y Wong, W Wei, Y Du, M Kankanhalli, W Geng PloS one 13 (10), e0206049, 2018 | 479 | 2018 |
| Learning to learn from noisy labeled data J Li, Y Wong, Q Zhao, MS Kankanhalli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 446 | 2019 |
| Hierarchical clustering multi-task learning for joint human action grouping and recognition AA Liu, YT Su, WZ Nie, M Kankanhalli IEEE transactions on pattern analysis and machine intelligence 39 (1), 102-114, 2016 | 446 | 2016 |
| Predicting human gaze beyond pixels J Xu, M Jiang, S Wang, MS Kankanhalli, Q Zhao Journal of vision 14 (1), 28-28, 2014 | 408 | 2014 |
| Aspect-aware latent factor model: Rating prediction with ratings and reviews Z Cheng, Y Ding, L Zhu, M Kankanhalli Proceedings of the 2018 world wide web conference, 639-648, 2018 | 383 | 2018 |
| Fast yet effective machine unlearning AK Tarun, VS Chundawat, M Mandal, M Kankanhalli IEEE Transactions on Neural Networks and Learning Systems 35 (9), 13046-13055, 2023 | 378 | 2023 |
| Geometry-aware instance-reweighted adversarial training J Zhang, J Zhu, G Niu, B Han, M Sugiyama, M Kankanhalli arXiv preprint arXiv:2010.01736, 2020 | 378 | 2020 |
| Depth matters: Influence of depth cues on visual saliency C Lang, TV Nguyen, H Katti, K Yadati, M Kankanhalli, S Yan European conference on computer vision, 101-115, 2012 | 354 | 2012 |
| Color matching for image retrieval BM Mehtre, MS Kankanhalli, AD Narasimhalu, GC Man Pattern Recognition Letters 16 (3), 325-331, 1995 | 337 | 1995 |
| A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface W Wei, Y Wong, Y Du, Y Hu, M Kankanhalli, W Geng Pattern Recognition Letters 119, 131-138, 2019 | 319 | 2019 |
| Anonymous secure routing in mobile ad-hoc networks B Zhu, Z Wan, MS Kankanhalli, F Bao, RH Deng 29th annual IEEE international conference on local computer networks, 102-108, 2004 | 319 | 2004 |
| An eye fixation database for saliency detection in images S Ramanathan, H Katti, N Sebe, M Kankanhalli, TS Chua European conference on computer vision, 30-43, 2010 | 303 | 2010 |
| Audio based event detection for multimedia surveillance PK Atrey, NC Maddage, MS Kankanhalli 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 299 | 2006 |
| Surface-electromyography-based gesture recognition by multi-view deep learning W Wei, Q Dai, Y Wong, Y Hu, M Kankanhalli, W Geng IEEE Transactions on Biomedical Engineering 66 (10), 2964-2973, 2019 | 298 | 2019 |
| A^ 3NCF: An Adaptive Aspect Attention Model for Rating Prediction. Z Cheng, Y Ding, X He, L Zhu, X Song, MS Kankanhalli IJCAI, 3748-3754, 2018 | 267 | 2018 |
Yongkang WONGSenior Research Fellow, School of Computing, National University of SingaporeVerified email at ieee.org
