| 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 | 1628 | 2020 |
| 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 | 126* | 2022 |
| Consensus control for decentralized deep learning L Kong*, T Lin*, A Koloskova, M Jaggi, S Stich International Conference on Machine Learning, 5686-5696, 2021 | 114 | 2021 |
| Extrapolation for large-batch training in deep learning T Lin*, L Kong*, S Stich, M Jaggi International Conference on Machine Learning, 6094-6104, 2020 | 56 | 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 | 53 | 2023 |
| 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 | 50 | 2020 |
| 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 | 31 | 2023 |
| 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 | 30 | 2023 |
| Self-training improves pre-training for few-shot learning in task-oriented dialog systems F Mi, W Zhou, L Kong, F Cai, M Huang, B Faltings proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 17 | 2021 |
| 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 | 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 | 11 | 2018 |
| Causal Representation Learning from Multimodal Biomedical Observations Y Sun, L Kong, G Chen, L Li, G Luo, Z Li, Y Zhang, Y Zheng, M Yang, ... The Thirteenth International Conference on Learning Representations, 2025 | 7 | 2025 |
| Learning discrete concepts in latent hierarchical models L Kong, G Chen, B Huang, E Xing, Y Chi, K Zhang Advances in Neural Information Processing Systems 37, 36938-36975, 2025 | 7 | 2025 |
| Towards Understanding Extrapolation: a Causal Lens L Kong, G Chen, P Stojanov, H Li, E Xing, K Zhang Advances in Neural Information Processing Systems 37, 123534-123562, 2024 | 4 | 2024 |
| Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models S Xie*, L Kong*, X Song, X Dong, G Chen, EP Xing, K Zhang arXiv preprint arXiv:2510.01544, 2025 | 2 | 2025 |
| Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs X Song, A Muhamed, Y Zheng, L Kong, Z Tang, MT Diab, V Smith, ... arXiv preprint arXiv:2505.20254, 2025 | 1 | 2025 |
| SmartCLIP: Modular Vision-language Alignment with Identification Guarantees S Xie*, L Kong*, Y Zheng, Y Yao, Z Tang, EP Xing, G Chen, K Zhang Proceedings of the Computer Vision and Pattern Recognition Conference, 29780 …, 2025 | 1 | 2025 |
| Learning by Analogy: A Causal Framework for Composition Generalization L Kong, S Xie, Y Jiao, Y Chen, Y Guo, S Shao, Y Gao, G Chen, K Zhang arXiv preprint arXiv:2512.10669, 2025 | | 2025 |
| Towards Self-Refinement of Vision-Language Models with Triangular Consistency Y Deng, G Chen, T Gu, L Kong, Y Li, Z Tang, K Zhang arXiv preprint arXiv:2510.10487, 2025 | | 2025 |
| Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens Y Deng, B Sun, Y Li, L Kong, Z Tang, K Zhang, G Chen arXiv preprint arXiv:2510.08222, 2025 | | 2025 |
