Lu Jiang

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Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Junwei LiangAssistant Professor, HKUST (Guangzhou) | CSE, HKUST | Ph.D. @CMUVerified email at hkust-gz.edu.cn
Li-Jia LiChief AI, IEEE FellowVerified email at healthunity.org
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Huiwen ChangOpenAIVerified email at google.com
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu
Teruko MitamuraResearch Professor of Language Technologies Institute, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
Yong ChengGoogle DeepmindVerified email at google.com
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Ce LiuChief Architect for Computer Vision, Microsoft Azure AI; IEEE FellowVerified email at microsoft.com
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Thomas LeungGoogle IncVerified email at google.com
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Verified email at cs.stanford.edu
Liangliang CaoApple IncVerified email at apple.com
Mahadev SatyanarayananJaime Carbonell University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Qian FengBaidu X-LabVerified email at baidu.com
Lijun YuCarnegie Mellon UniversityVerified email at cmu.edu

Lu Jiang

Research Scientist, Google & Adjunct Professor, CMU

Verified email at cs.cmu.edu - Homepage

Generative AI Foundation Model Robust Deep Learning Multimedia Curriculum Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei ICML, 2018	1359	2018
Contrastive Adaptation Network for Unsupervised Domain Adaptation G Kang, L Jiang, Y Yang, AG Hauptmann CVPR, 2019	792	2019
Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann AAAI, 2015	529	2015
Confident learning: Estimating uncertainty in dataset labels C Northcutt, L Jiang, I Chuang Journal of Artificial Intelligence Research 70, 1373-1411, 2021	450	2021
Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in neural information processing systems 27, 2014	383	2014
Peeking into the Future: Predicting Future Person Activities and Locations in Videos J Liang, L Jiang, JC Niebles, A Hauptmann, L Fei-Fei CVPR, 2019	380	2019
Easy samples first: Self-paced reranking for zero-example multimedia search L Jiang, D Meng, T Mitamura, AG Hauptmann ACM international conference on Multimedia, 2014	310	2014
Eidetic 3D LSTM: A Model for Video Prediction and Beyond Y Wang, L Jiang, MH Yang, LJ Li, M Long, L Fei-Fei ICLR, 2019	303	2019
Composing Text and Image for Image Retrieval-An Empirical Odyssey N Vo, L Jiang, C Sun, K Murphy, LJ Li, L Fei-Fei, J Hays CVPR, 2019	257	2019
Robust Neural Machine Translation with Doubly Adversarial Inputs Y Cheng, L Jiang, W Macherey ACL, 2019	233	2019
Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann AAAI, 2015	162	2015
Maskgit: Masked generative image transformer H Chang, H Zhang, L Jiang, C Liu, WT Freeman CVPR, 11315-11325, 2022	153	2022
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels L Jiang, D Huang, L Mason, W Yang ICML, 2020	150	2020
The garden of forking paths: Towards multi-future trajectory prediction J Liang, L Jiang, K Murphy, T Yu, A Hauptmann CVPR, 2020	133	2020
Revealing event saliency in unconstrained video collection D Zhang, J Han, L Jiang, S Ye, X Chang IEEE Transactions on Image Processing 26 (4), 1746-1758, 2017	133	2017
A self-paced multiple-instance learning framework for co-saliency detection D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han Proceedings of the IEEE international conference on computer vision, 594-602, 2015	133	2015
A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017	122	2017
Vitgan: Training gans with vision transformers K Lee, H Chang, L Jiang, H Zhang, Z Tu, C Liu ICLR, 2022	119	2022
Muse: Text-to-image generation via masked generative transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... arXiv preprint arXiv:2301.00704, 2023	108	2023
Focal visual-text attention for visual question answering J Liang, L Jiang, L Cao, LJ Li, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	108	2018

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