| 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 | 1051 | 2020 |
| Consensus control for decentralized deep learning L Kong*, T Lin*, A Koloskova, M Jaggi, S Stich International Conference on Machine Learning, 5686-5696, 2021 | 84 | 2021 |
| 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 | 74* | 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 | 45 | 2020 |
| 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 | 44 | 2020 |
| 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 | 24 | 2023 |
| Multi-domain image generation and translation with identifiability guarantees S Xie, L Kong, M Gong, K Zhang The Eleventh International Conference on Learning Representations, 2023 | 17 | 2023 |
| 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 | 14 | 2021 |
| 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, 2010-2032, 2023 | 11 | 2023 |
| 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 | 9 | 2018 |
| 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 | 3 | 2023 |
| Learning Discrete Concepts in Latent Hierarchical Models L Kong, G Chen, B Huang, EP Xing, Y Chi, K Zhang arXiv preprint arXiv:2406.00519, 2024 | 1 | 2024 |
| Causal Representation Learning from Multimodal Biological Observations Y Sun, L Kong, G Chen, L Li, G Luo, Z Li, Y Zhang, Y Zheng, M Yang, ... arXiv preprint arXiv:2411.06518, 2024 | | 2024 |
| Towards Understanding Extrapolation: a Causal Lens L Kong, G Chen, P Stojanov, H Li, EP Xing, K Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
