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Lingjing Kong
Lingjing Kong
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Ensemble distillation for robust model fusion in federated learning
T Lin*, L Kong*, SU Stich, M Jaggi
Advances in Neural Information Processing Systems 33, 2351-2363, 2020
7062020
Consensus control for decentralized deep learning
L Kong*, T Lin*, A Koloskova, M Jaggi, S Stich
International Conference on Machine Learning, 5686-5696, 2021
612021
Generalized class incremental learning
F Mi*, L Kong*, T Lin, K Yu, B Faltings
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
412020
Partial disentanglement for domain adaptation
L Kong, S Xie, W Yao, Y Zheng, G Chen, P Stojanov, V Akinwande, ...
International Conference on Machine Learning, 11455-11472, 2022
39*2022
Extrapolation for large-batch training in deep learning
T Lin*, L Kong*, S Stich, M Jaggi
International Conference on Machine Learning, 6094-6104, 2020
382020
Self-training improves pre-training for few-shot learning in task-oriented dialog systems
F Mi, W Zhou, F Cai, L Kong, M Huang, B Faltings
arXiv preprint arXiv:2108.12589, 2021
102021
Multi-domain image generation and translation with identifiability guarantees
S Xie, L Kong, M Gong, K Zhang
The Eleventh International Conference on Learning Representations, 2022
92022
Understanding Masked Autoencoders via Hierarchical Latent Variable Models
L Kong*, MQ Ma*, G Chen, EP Xing, Y Chi, LP Morency, K Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
82023
Power consumption evaluation in high speed visible light communication systems
L Kong, C Chen, Y Wang, H Haas
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018
82018
Identification of nonlinear latent hierarchical models
L Kong, B Huang, F Xie, E Xing, Y Chi, K Zhang
Advances in Neural Information Processing Systems 36, 2024
42024
Counterfactual Generation with Identifiability Guarantees
H Yan*, L Kong*, L Gui, Y Chi, E Xing, Y He, K Zhang
Thirty-seventh Conference on Neural Information Processing Systems, 2023
12023
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