| Deephunter: a coverage-guided fuzz testing framework for deep neural networks X Xie, L Ma, F Juefei-Xu, M Xue, H Chen, Y Liu, J Zhao, B Li, J Yin, S See Proceedings of the 28th ACM SIGSOFT international symposium on software …, 2019 | 463 | 2019 |
| Learning common and specific features for RGB-D semantic segmentation with deconvolutional networks J Wang, Z Wang, D Tao, S See, G Wang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 186 | 2016 |
| Sensor grid: Integration of wireless sensor networks and the grid HB Lim, YM Teo, P Mukherjee, VT Lam, WF Wong, S See The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05) l …, 2005 | 140 | 2005 |
| Survey on parallel programming model H Kasim, V March, R Zhang, S See Network and Parallel Computing: IFIP International Conference, NPC 2008 …, 2008 | 133 | 2008 |
| Understanding top-k sparsification in distributed deep learning S Shi, X Chu, KC Cheung, S See arXiv preprint arXiv:1911.08772, 2019 | 104 | 2019 |
| An evaluation of unified memory technology on nvidia gpus W Li, G Jin, X Cui, S See 2015 15th IEEE/ACM international symposium on cluster, cloud and grid …, 2015 | 100 | 2015 |
| Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation X Shi, Z Huang, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| Failure prediction of data centers using time series and fault tree analysis T Chalermarrewong, T Achalakul, SCW See 2012 IEEE 18th international conference on parallel and distributed systems …, 2012 | 74 | 2012 |
| Arid: A new dataset for recognizing action in the dark Y Xu, J Yang, H Cao, K Mao, J Yin, S See Deep Learning for Human Activity Recognition: Second International Workshop …, 2021 | 67 | 2021 |
| Videoflow: Exploiting temporal cues for multi-frame optical flow estimation X Shi, Z Huang, W Bian, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 58 | 2023 |
| Multi-class Twitter sentiment classification with emojis M Li, E Ch’ng, AYL Chong, S See Industrial Management & Data Systems 118 (9), 1804-1820, 2018 | 58 | 2018 |
| Understanding off-chip memory contention of parallel programs in multicore systems BM Tudor, YM Teo, S See 2011 International Conference on Parallel Processing, 602-611, 2011 | 53 | 2011 |
| An empirical analysis of emoji usage on Twitter M Li, E Chng, AYL Chong, S See Industrial Management & Data Systems 119 (8), 1748-1763, 2019 | 51 | 2019 |
| Improving deep lesion detection using 3D contextual and spatial attention Q Tao, Z Ge, J Cai, J Yin, S See Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 51 | 2019 |
| Act: an attentive convolutional transformer for efficient text classification P Li, P Zhong, K Mao, D Wang, X Yang, Y Liu, J Yin, S See Proceedings of the AAAI conference on artificial intelligence 35 (15), 13261 …, 2021 | 50 | 2021 |
| CRNN: a joint neural network for redundancy detection X Fu, E Ch'ng, U Aickelin, S See 2017 IEEE international conference on smart computing (SMARTCOMP), 1-8, 2017 | 50 | 2017 |
| Evaluation of a performance model of lustre file system T Zhao, V March, S Dong, S See 2010 Fifth Annual ChinaGrid Conference, 191-196, 2010 | 49 | 2010 |
| Multiuser interaction with hybrid VR and AR for cultural heritage objects Y Li, E Ch’ng, S Cai, S See 2018 3rd Digital Heritage International Congress (DigitalHERITAGE) held …, 2018 | 42 | 2018 |
| A simple baseline for video restoration with grouped spatial-temporal shift D Li, X Shi, Y Zhang, KC Cheung, S See, X Wang, H Qin, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| Aligning correlation information for domain adaptation in action recognition Y Xu, H Cao, K Mao, Z Chen, L Xie, J Yang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 40 | 2022 |