Dynamics and stabilization of the human gut microbiome during the first year of life F Bäckhed, J Roswall, Y Peng, Q Feng, H Jia, P Kovatcheva-Datchary, ... Cell host & microbe 17 (5), 690-703, 2015 | 3810 | 2015 |
Metagenomic sequencing of the human gut microbiome before and after bariatric surgery in obese patients with type 2 diabetes: correlation with inflammatory and metabolic parameters J Graessler, Y Qin, H Zhong, J Zhang, J Licinio, ML Wong, A Xu, ... The pharmacogenomics journal 13 (6), 514-522, 2013 | 546 | 2013 |
A catalog of the mouse gut metagenome L Xiao, Q Feng, S Liang, SB Sonne, Z Xia, X Qiu, X Li, H Long, J Zhang, ... Nature biotechnology 33 (10), 1103-1108, 2015 | 530 | 2015 |
High-fat feeding rather than obesity drives taxonomical and functional changes in the gut microbiota in mice L Xiao, SB Sonne, Q Feng, N Chen, Z Xia, X Li, Z Fang, D Zhang, E Fjære, ... Microbiome 5, 1-12, 2017 | 179 | 2017 |
Predicting path failure in time-evolving graphs J Li, Z Han, H Cheng, J Su, P Wang, J Zhang, L Pan Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 158 | 2019 |
Extremely fast decision tree mining for evolving data streams A Bifet, J Zhang, W Fan, C He, J Zhang, J Qian, G Holmes, B Pfahringer Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 102 | 2017 |
CellPAD: Detecting performance anomalies in cellular networks via regression analysis J Wu, PPC Lee, Q Li, L Pan, J Zhang 2018 IFIP Networking Conference (IFIP Networking) and Workshops, 1-9, 2018 | 56 | 2018 |
Inducing neural collapse in deep long-tailed learning X Liu, J Zhang, T Hu, H Cao, Y Yao, L Pan International Conference on Artificial Intelligence and Statistics, 11534-11544, 2023 | 25 | 2023 |
Serum metabolomics reveals lipid metabolism variation between coronary artery disease and congestive heart failure: a pilot study H Luan, X Chen, S Zhong, X Yuan, N Meng, J Zhang, J Fu, R Xu, C Lee, ... Biomarkers 18 (4), 314-321, 2013 | 25 | 2013 |
Proactive microwave link anomaly detection in cellular data networks L Pan, J Zhang, PPC Lee, M Kalander, J Ye, P Wang Computer Networks 167, 106969, 2020 | 21 | 2020 |
Contrastive shapelet learning for unsupervised multivariate time series representation learning Z Liang, J Zhang, C Liang, H Wang, Z Liang, L Pan arXiv preprint arXiv:2305.18888, 2023 | 14 | 2023 |
An intelligent customer care assistant system for large-scale cellular network diagnosis L Pan, J Zhang, PPC Lee, H Cheng, C He, C He, K Zhang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 13 | 2017 |
A co-training approach for noisy time series learning W Zhang, J Zhang, J Li, F Tsung Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 10 | 2023 |
DWLR: Domain Adaptation under Label Shift for Wearable Sensor LP Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
Disentangling Domain and General Representations for Time Series Classification JL Youmin Chen, Xinyu Yan, Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts R Xie, A Odonnat, V Feofanov, W Deng, J Zhang, B An arXiv preprint arXiv:2405.18979, 2024 | | 2024 |
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation A Virmaux, I Saffar, J Zhang, B Kégl arXiv preprint arXiv:2110.02716, 2021 | | 2021 |