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 64 (12), 3197-3234, 2022
395 2022 A survey on video action recognition in sports: Datasets, methods and applications F Wu, Q Wang, J Bian, N Ding, F Lu, J Cheng, D Dou, H Xiong
IEEE Transactions on Multimedia 25, 7943-7966, 2022
80 2022 Machine learning in real-time Internet of Things (IoT) systems: A survey J Bian, A Al Arafat, H Xiong, J Li, L Li, H Chen, J Wang, D Dou, Z Guo
IEEE Internet of Things Journal 9 (11), 8364-8386, 2022
69 2022 G-LIME: Statistical learning for local interpretations of deep neural networks using global priors X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou
Artificial Intelligence 314, 103823, 2023
39 2023 Se-moe: A scalable and efficient mixture-of-experts distributed training and inference system L Shen, Z Wu, WB Gong, H Hao, Y Bai, HC Wu, X Wu, J Bian, H Xiong, ...
arXiv preprint arXiv:2205.10034, 2022
35 2022 Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning N Wang, J Bian, Y Li, X Li, S Mumtaz, L Kong, H Xiong
Nature Machine Intelligence, 1-10, 2024
23 2024 When search engine services meet large language models: visions and challenges H Xiong, J Bian, Y Li, X Li, M Du, S Wang, D Yin, S Helal
IEEE Transactions on Services Computing, 2024
22 2024 GLARE: A dataset for traffic sign detection in sun glare N Gray, M Moraes, J Bian, A Wang, A Tian, K Wilson, Y Huang, H Xiong, ...
IEEE Transactions on Intelligent Transportation Systems, 2023
21 2023 CSWA: Aggregation-free spatial-temporal community sensing J Bian, H Xiong, Y Fu, S Das
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
21 2018 COMO: Efficient deep neural networks expansion with convolutional maxout B Zhao, H Xiong, J Bian, Z Guo, CZ Xu, D Dou
IEEE Transactions on Multimedia 23, 1722-1730, 2020
16 2020 Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis J Bian, LE Barnes, G Chen, H Xiong
2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017
16 2017 EdgeSense: Edge-Mediated Spatial- Temporal CrowdsensingS Yang, J Bian, L Wang, H Zhu, Y Fu, H Xiong
Ieee access 7, 95122-95131, 2018
12 2018 Feynman : Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps RecommendationJ Bian, J Huang, S Ji, Y Liao, X Li, Q Wang, J Zhou, D Dou, Y Wang, ...
IEEE Transactions on Services Computing 16 (5), 3361-3372, 2023
11 2023 COLTR : Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web SearchY Li, H Xiong, Q Wang, L Kong, H Liu, H Li, J Bian, S Wang, G Chen, ...
IEEE Transactions on Knowledge and Data Engineering 35 (12), 12542-12555, 2023
11 2023 MODES : model-based optimization on distributed embedded systemsJ Shi, J Bian, J Richter, KH Chen, J Rahnenführer, H Xiong, JJ Chen
Machine Learning 110 (6), 1527-1547, 2021
10 2021 MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services D Yu, L Shen, H Hao, W Gong, H Wu, J Bian, L Dai, H Xiong
IEEE Transactions on Services Computing, 2024
9 2024 : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model DebiasingH Xiong, W Cheng, J Bian, W Hu, Z Sun, Z Guo
IEEE transactions on neural networks and learning systems 30 (3), 707-717, 2018
9 2018 AWDA: An adaptive wishart discriminant analysis H Xiong, W Cheng, W Hu, J Bian, Z Guo
2017 IEEE International Conference on Data Mining (ICDM), 525-534, 2017
9 2017 Crledd: Regularized causalities learning for early detection of diseases using electronic health record (ehr) data J Bian, S Yang, H Xiong, L Wang, Y Fu, Z Sun, Z Guo
IEEE Transactions on Emerging Topics in Computational Intelligence 5 (4 …, 2020
8 2020 De-biasing Covariance-Regularized Discriminant Analysis. H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo
IJCAI, 2889-2897, 2018
8 2018