* indicates co-first authorship.
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong, Guangyi Chen, Biwei Huang, Eric Xing, Yuejie Chi & Kun Zhang.
NeurIPS 2024
Towards Understanding Extrapolation: a Causal Lens
Lingjing Kong*, Guangyi Chen*, Eric Xing & Kun Zhang.
NeurIPS 2024
Counterfactual Generation with Identifiability Guarantees
Hanqi Yan*, Lingjing Kong*, Lin Gui, Yuejie Chi, Eric Xing, Yulan He & Kun Zhang.
NeurIPS 2023
Identification of Nonlinear Latent Hierarchical Causal Models
Lingjing Kong, Biwei Huang, Feng Xie, Eric Xing, Yuejie Chi & Kun Zhang.
NeurIPS 2023
Understanding Masked Autoencoders via Hierarchical Latent Variable Models
Lingjing Kong*, Martin Ma*, Guangyi Chen, Eric Xing, Yuejie Chi, Louis-Philippe Morency & Kun Zhang.
CVPR 2023, Highlight: top 2.6%
Multi-domain Image Generation and Translation with Identifiability Guarantees
Shaoan Xie, Lingjing Kong, Mingming Gong & Kun Zhang.
ICLR 2023, Spotlight: top 3.8%
Partial Identifiability for Domain Adaptation
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande & Kun Zhang.
ICML 2022
Consensus Control for Decentralized Deep Learning
Lingjing Kong*, Tao Lin*, Anastasia Koloskova, Martin Jaggi & Sebastian U. Stich.
ICML 2021
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao Lin*, Lingjing Kong*, Sebastian U. Stich & Martin Jaggi.
NeurIPS 2020
Extrapolation for Large Batch Training in Deep Learning
Tao Lin*, Lingjing Kong*, Sebastian U. Stich & Martin Jaggi.
ICML 2020
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialogue Systems
Fei Mi, Wanhao Zhou, Lingjing Kong, Fengyu Cai, Minlie Huang & Boi Faltings.
EMNLP 2021
Generalized Class Incremental Learning
Fei Mi*, Lingjing Kong*, Tao Lin, Kaicheng Yu & Boi Faltings.
CVPR 2020 Workshop
Power Consumption Evaluation in High Speed Visible Light Communication Systems
Lingjing Kong, Cheng Chen, Yunlu Wang & Harald Hass.
IEEE Globecom Conference 2018