Jindong Wang

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	Toate	Din 2020
Referințe bibliografice	17118	16578
h-index	47	47
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Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF FellowAdresă de e-mail confirmată pe microsoft.com
Yiqiang ChenProfessor of Computer Science, Institute of Computing Technology, CASAdresă de e-mail confirmată pe ict.ac.cn
Yue ZhangWestlake UniversityAdresă de e-mail confirmată pe wias.org.cn
Bhiksha RajCarnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoAdresă de e-mail confirmată pe cs.uic.edu
Takahiro ShinozakiTokyo Institute of TechnologyAdresă de e-mail confirmată pe ict.e.titech.ac.jp
Han YuAssociate Professor, CCDS, Nanyang Technological University, SingaporeAdresă de e-mail confirmată pe ntu.edu.sg
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusAdresă de e-mail confirmată pe mpi-inf.mpg.de
Neil Zhenqiang GongAssociate Professor, Duke UniversityAdresă de e-mail confirmată pe duke.edu
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairAdresă de e-mail confirmată pe cse.ust.hk
Yixuan ("Janice") ZhangAssistant Professor in Computer Science, William & MaryAdresă de e-mail confirmată pe wm.edu
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoAdresă de e-mail confirmată pe k.u-tokyo.ac.jp
Sinno Jialin PanThe Chinese University of Hong KongAdresă de e-mail confirmată pe cuhk.edu.hk
Qingsong Wen (文青松)Head of AI & Chief Scientist @ Squirrel AIAdresă de e-mail confirmată pe gatech.edu
Damien TeneyIdiap Research InstituteAdresă de e-mail confirmată pe idiap.ch
Diyi YangStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Haohan WangSchool of Information Sciences, University of Illinois Urbana-ChampaignAdresă de e-mail confirmată pe illinois.edu
Sunayana SitaramMicrosoft Research IndiaAdresă de e-mail confirmată pe microsoft.com
Srijan KumarAssistant Professor, Computer Science, Georgia TechAdresă de e-mail confirmată pe gatech.edu
Steven Euijong WhangAssociate Professor with Tenure at KAIST EE and AIAdresă de e-mail confirmată pe kaist.ac.kr

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Jindong Wang

Assistant Professor, William & Mary; Ex Senior Researcher, Microsoft Research

Adresă de e-mail confirmată pe wm.edu - Pagina de pornire

machine learning transfer learning large language models generative AI


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	2326	2024
Deep learning for sensor-based activity recognition: A survey J Wang, Y Chen, S Hao, X Peng, L Hu Pattern Recognition Letters, 2019	2196	2019
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	1209	2022
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Y Chen, X Qin, J Wang, C Yu, W Gao IEEE Intelligent Systems, 2020	992	2020
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	985	2021
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	949	2020
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	724	2018
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	657	2017
Transfer Learning with Dynamic Adversarial Adaptation Network C Yu, J Wang, Y Chen, M Huang IEEE International Conference on Data Mining (ICDM) 2019, 2019	391	2019
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	366	2023
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	324*	2024
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	295	2020
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	284	2018
AdaRNN: Adaptive Learning and Forecasting of Time Series Y Du, J Wang, W Feng, S Pan, T Qin, C Wang CIKM 2021, 2021	264	2021
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	259	2024
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	252	2019
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	247	2024
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	233	2021
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	208	2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ... Internation Conference on Learning Representation (ICLR), 2024	206	2024

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