Lingjing Kong

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Lingjing Kong 001 (EPFL, Machine Learning and Optimization Laboratory, Switzerland)
Lingjing Kong 002 (Shenzhen Institute of Information Technology, Department of Computer, Shenzhen, China)

Bibliography

2026

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

[BibT_eX]

[DOI]

CoRR, May, 2026

World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry.

[BibT_eX]

[DOI]

CoRR, April, 2026

Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality.

[BibT_eX]

[DOI]

CoRR, December, 2025

Learning by Analogy: A Causal Framework for Composition Generalization.

[BibT_eX]

[DOI]

CoRR, December, 2025

Towards Self-Refinement of Vision-Language Models with Triangular Consistency.

[BibT_eX]

[DOI]

CoRR, October, 2025

Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens.

[BibT_eX]

[DOI]

CoRR, October, 2025

Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

[BibT_eX]

[DOI]

CoRR, July, 2025

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Learning Vision and Language Concepts for Controllable Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Causal Representation Learning from Multimodal Biomedical Observations.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal Representation Learning from Multimodal Biological Observations.

[BibT_eX]

[DOI]

CoRR, 2024

Adjusting Pretrained Backbones for Performativity.

[BibT_eX]

[DOI]

Celestine Mendler-Dünner

Francesco Locatello

CoRR, 2024

Towards Understanding Extrapolation: a Causal Lens.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Discrete Concepts in Latent Hierarchical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Partial Identifiability for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Counterfactual Generation with Identifiability Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Identification of Nonlinear Latent Hierarchical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-domain image generation and translation with identifiability guarantees.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Understanding Masked Autoencoders via Hierarchical Latent Variable Models.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Partial disentanglement for domain adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2015

Achieving inter-domain routing security based on distributed translator trust model.

[BibT_eX]

[DOI]

Lingjing Kong

Hong Shen

Comput. Sci. Inf. Syst., 2015

2014

A Distributed Multi-hub Translator Trust Model for Interdomain Routing in Large Networks.

[BibT_eX]

[DOI]

Lingjing Kong

Hong Shen

Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

Lingjing Kong

Known people with the same name:

Bibliography

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