Követés
Jindong Wang
Jindong Wang
Assistant Professor, William & Mary; Ex Senior Researcher, Microsoft Research
E-mail megerősítve itt: wm.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep learning for sensor-based activity recognition: A survey
J Wang, Y Chen, S Hao, X Peng, L Hu
Pattern Recognition Letters, 2019
21992019
A survey on evaluation of large language models
Y Chang, X Wang, J Wang, Y Wu, K Zhu, H Chen, L Yang, X Yi, C Wang, ...
ACM Transactions on Intelligent Systems and Technology (TIST), 2024
21112024
Generalizing to unseen domains: A survey on domain generalization
J Wang, C Lan, C Liu, Y Ouyang, T Qin, W Lu, Y Chen, W Zeng, SY Philip
IEEE transactions on knowledge and data engineering 35 (8), 8052-8072, 2022
11512022
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Y Chen, X Qin, J Wang, C Yu, W Gao
IEEE Intelligent Systems, 2020
9862020
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
B Zhang, Y Wang, W Hou, H Wu, J Wang, M Okumura, T Shinozaki
NeurIPS 2021, 2021
9592021
Deep subdomain adaptation network for image classification
Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He
IEEE transactions on neural networks and learning systems 32 (4), 1713-1722, 2020
9312020
Visual Domain Adaptation with Manifold Embedded Distribution Alignment
J Wang, W Feng, Y Chen, H Yu, M Huang, PS Yu
ACM International Conference on Multimedia (ACMMM) 2018, 2018
7032018
Balanced distribution adaptation for transfer learning
J Wang, Y Chen, S Hao, W Feng, Z Shen
2017 IEEE international conference on data mining (ICDM), 1129-1134, 2017
6482017
Transfer Learning with Dynamic Adversarial Adaptation Network
C Yu, J Wang, Y Chen, M Huang
IEEE International Conference on Data Mining (ICDM) 2019, 2019
3862019
Freematch: Self-adaptive thresholding for semi-supervised learning
Y Wang, H Chen, Q Heng, W Hou, M Savvides, T Shinozaki, B Raj, Z Wu, ...
ICLR, 2023
3482023
Transfer Learning with Dynamic Distribution Adaptation
J Wang, Y Chen, W Feng, H Yu, M Huang, Q Yang
ACM Transactions on Intelligent Systems and Technology (ACM TIST) 11 (1), 1-25, 2020
2892020
Position: TrustLLM: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
International Conference on Machine Learning, 20166-20270, 2024
287*2024
Stratified Transfer Learning for Cross-domain Activity Recognition
J Wang, Y Chen, L Hu, X Peng, PS Yu
IEEE International Conference on Pervasive Computing and Communications …, 2018
2832018
AdaRNN: Adaptive Learning and Forecasting of Time Series
Y Du, J Wang, W Feng, S Pan, T Qin, C Wang
CIKM 2021, 2021
2602021
Multi-representation adaptation network for cross-domain image classification
Y Zhu, F Zhuang, J Wang, J Chen, Z Shi, W Wu, Q He
Neural Networks 119, 214-221, 2019
2482019
On the robustness of chatgpt: An adversarial and out-of-distribution perspective
J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ...
IEEE Data Engineering Bulletin, 2024
2392024
Promptbench: Towards evaluating the robustness of large language models on adversarial prompts
K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ...
ACM CCS workshop LAMPS, arXiv: 2306.04528, 2024
2382024
Unsupervised deep anomaly detection for multi-sensor time-series signals
Y Zhang, Y Chen, J Wang, Z Pan
IEEE Transactions on Knowledge and Data Engineering 35 (2), 2118-2132, 2021
2222021
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
H Chen, R Tao, Y Fan, Y Wang, J Wang, B Schiele, X Xie, B Raj, ...
ICLR, 2023
2032023
Easy Transfer Learning By Exploiting Intra-domain Structures
J Wang, Y Chen, H Yu, M Huang, Q Yang
The IEEE International Conference on Multimedia and Expo (ICME) 2019, 2019
1892019
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20