Kong, Lingjing

14 publications

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

ICML 2025 Learning Vision and Language Concepts for Controllable Image Generation Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing, Guangyi Chen, Kun Zhang

NeurIPS 2025 Towards Self-Refinement of Vision-Language Models with Triangular Consistency Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang

NeurIPS 2024 Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang

NeurIPS 2024 Towards Understanding Extrapolation: A Causal Lens Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang

NeurIPS 2023 Counterfactual Generation with Identifiability Guarantees Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang

NeurIPS 2023 Identification of Nonlinear Latent Hierarchical Models Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang

ICLR 2023 Multi-Domain Image Generation and Translation with Identifiability Guarantees Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang

CVPR 2023 Understanding Masked Autoencoders via Hierarchical Latent Variable Models Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang

ICML 2022 Partial Disentanglement for Domain Adaptation Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

ICML 2021 Consensus Control for Decentralized Deep Learning Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian Stich

NeurIPS 2020 Ensemble Distillation for Robust Model Fusion in Federated Learning Tao Lin, Lingjing Kong, Sebastian U Stich, Martin Jaggi

ICML 2020 Extrapolation for Large-Batch Training in Deep Learning Tao Lin, Lingjing Kong, Sebastian Stich, Martin Jaggi

CVPRW 2020 Generalized Class Incremental Learning Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings