CrowdRecruiter: selecting participants for piggyback crowdsensing under probabilistic coverage constraint D Zhang, H Xiong, L Wang, G Chen UbiComp'14, 703-714, 2014 | 304 | 2014 |
Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou Knowledge and Information Systems, 1-38, 2022 | 259 | 2022 |
4W1H in mobile crowd sensing D Zhang, L Wang, H Xiong, B Guo IEEE Communications Magazine 52 (8), 42-48, 2014 | 216 | 2014 |
From distributed machine learning to federated learning: A survey J Liu, J Huang, Y Zhou, X Li, S Ji, H Xiong, D Dou Knowledge and Information Systems 64 (4), 885-917, 2022 | 197 | 2022 |
CCS-TA: Quality-guaranteed online task allocation in compressive crowdsensing L Wang, D Zhang, A Pathak, C Chen, H Xiong, D Yang, Y Wang UbiComp'15, 683-694, 2015 | 191 | 2015 |
iCrowd: Near-optimal task allocation for piggyback crowdsensing H Xiong, D Zhang, G Chen, L Wang, V Gauthier, LE Barnes IEEE Transactions on Mobile Computing 15 (8), 2010-2022, 2016 | 189 | 2016 |
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS X Li, H Xiong, H Wang, Y Rao, L Liu, H Jun International Conference on Learning Representations (ICLR'19), 2019 | 184 | 2019 |
Using mobile sensing to test clinical models of depression, social anxiety, state affect, and social isolation among college students PI Chow, K Fua, Y Huang, W Bonelli, H Xiong, LE Barnes, BA Teachman Journal of medical Internet research 19 (3), e62, 2017 | 184 | 2017 |
Multi-task allocation in mobile crowd sensing with individual task quality assurance J Wang, Y Wang, D Zhang, F Wang, H Xiong, C Chen, Q Lv, Z Qiu IEEE Transactions on Mobile Computing 17 (9), 2101-2113, 2018 | 159 | 2018 |
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model J Wu, R Fu, H Fang, Y Zhang, Y Yang, H Xiong, H Liu, X Yanwu Medical Imaging with Deep Learning (MIDL'23), 2023 | 151 | 2023 |
CrowdTasker: Maximizing coverage quality in piggyback crowdsensing under budget constraint H Xiong, D Zhang, G Chen, L Wang, V Gauthier PerCom'15, 55-62, 2015 | 151 | 2015 |
EMC3: Energy-efficient data transfer in mobile crowdsensing under full coverage constraint H Xiong, D Zhang, L Wang, H Chaouchi IEEE Transactions on Mobile Computing 14 (7), 1355-1368, 2015 | 140 | 2015 |
Structure-aware interactive graph neural networks for the prediction of protein-ligand binding affinity S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 138 | 2021 |
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies H Xiong, Y Huang, LE Barnes, MS Gerber UbiComp'16, 415-426, 2016 | 134 | 2016 |
Multi-objective Optimization based Allocation of Heterogeneous Spatial Crowdsourcing Tasks L Wang, Z Yu, Q Han, B Guo, H Xiong IEEE Transactions on Mobile Computing, 2018 | 131 | 2018 |
effSense: A novel mobile crowd-sensing framework for energy-efficient and cost-effective data uploading L Wang, D Zhang, Z Yan, H Xiong, B Xie IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (12), 1549-1563, 2015 | 121 | 2015 |
Assessing social anxiety using gps trajectories and point-of-interest data Y Huang, H Xiong, K Leach, Y Zhang, P Chow, K Fua, BA Teachman, ... UbiComp'16, 898-903, 2016 | 104 | 2016 |
NextCell: Predicting location using social interplay from cell phone traces D Zhang, D Zhang, H Xiong, LT Yang, V Gauthier IEEE Transactions on Computers 64 (2), 452-463, 2013 | 100 | 2013 |
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Y Yin, Q Wang, S Huang, H Xiong, X Zhang The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22), 2022 | 99 | 2022 |
On the Noisy Gradient Descent that Generalizes as SGD J Wu, W Hu, H Xiong, J Huan, V Braverman, Z Zhu International Conference on Machine Learning (ICML’20), 2020 | 98 | 2020 |