Stebėti
Jianmin Wang
Jianmin Wang
School of Software, Tsinghua University
Patvirtintas el. paštas tsinghua.edu.cn
Pavadinimas
Cituota
Cituota
Metai
Learning transferable features with deep adaptation networks
M Long, Y Cao, J Wang, M Jordan
International conference on machine learning, 97-105, 2015
63792015
Deep transfer learning with joint adaptation networks
M Long, H Zhu, J Wang, MI Jordan
International conference on machine learning, 2208-2217, 2017
30892017
Conditional adversarial domain adaptation
M Long, Z Cao, J Wang, MI Jordan
Advances in neural information processing systems 31, 2018
27792018
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
H Wu, J Xu, J Wang, M Long
Advances in neural information processing systems 34, 22419-22430, 2021
24512021
Transfer feature learning with joint distribution adaptation
M Long, J Wang, G Ding, J Sun, PS Yu
Proceedings of the IEEE international conference on computer vision, 2200-2207, 2013
22582013
Process mining manifesto
W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ...
Business Process Management Workshops: BPM 2011 International Workshops …, 2012
20082012
Unsupervised domain adaptation with residual transfer networks
M Long, H Zhu, J Wang, MI Jordan
Advances in neural information processing systems 29, 2016
17982016
Timesnet: Temporal 2d-variation modeling for general time series analysis
H Wu, T Hu, Y Liu, H Zhou, J Wang, M Long
arXiv preprint arXiv:2210.02186, 2022
10902022
Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms
Y Wang, M Long, J Wang, Z Gao, PS Yu
Advances in neural information processing systems 30, 2017
10132017
Multi-adversarial domain adaptation
Z Pei, Z Cao, M Long, J Wang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
9792018
Transfer joint matching for unsupervised domain adaptation
M Long, J Wang, G Ding, J Sun, PS Yu
Proceedings of the IEEE conference on computer vision and pattern …, 2014
8632014
Hashnet: Deep learning to hash by continuation
Z Cao, M Long, J Wang, PS Yu
Proceedings of the IEEE international conference on computer vision, 5608-5617, 2017
8462017
Deep hashing network for efficient similarity retrieval
H Zhu, M Long, J Wang, Y Cao
Proceedings of the AAAI conference on Artificial Intelligence 30 (1), 2016
7902016
Adaptation regularization: A general framework for transfer learning
M Long, J Wang, G Ding, SJ Pan, SY Philip
IEEE Transactions on Knowledge and Data Engineering 26 (5), 1076-1089, 2013
7132013
Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning
Y Wang, Z Gao, M Long, J Wang, SY Philip
International conference on machine learning, 5123-5132, 2018
6502018
Anomaly transformer: Time series anomaly detection with association discrepancy
J Xu, H Wu, J Wang, M Long
arXiv preprint arXiv:2110.02642, 2021
6452021
Transferable representation learning with deep adaptation networks
M Long, Y Cao, Z Cao, J Wang, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 41 (12), 3071 …, 2018
6182018
Universal domain adaptation
K You, M Long, Z Cao, J Wang, MI Jordan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
6092019
Semantics-preserving hashing for cross-view retrieval
Z Lin, G Ding, M Hu, J Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
6062015
Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation
X Chen, S Wang, M Long, J Wang
International conference on machine learning, 1081-1090, 2019
5952019
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20