Lingjing Kong
16 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (36)
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Topic Evolution
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Dynamic Duo
(12)
ποΈ
Keyword Collector
(68)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Research topics
Artificial Intelligence
(10)
Deep Learning
(10)
Machine Learning
(10)
Core AI
(9)
Core Methods
(4)
Models
(4)
Optimization & Theory Β· Machine Learning
(4)
Application Areas
(3)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Knowledge & Reasoning
(1)
Keywords
latent variable model
(4)
causal inference
(4)
hierarchical model
(3)
latent variable
(3)
domain adaptation
(2)
identifiability guarantee
(2)
concept learning
(2)
distributed learning
(1)
knowledge distillation
(1)
few-shot learning
(1)
self-supervised learning
(1)
multimodal learning
(1)
causal discovery
(1)
image reconstruction
(1)
stochastic gradient descent
(1)
deep learning
(1)
intent classification
(1)
independent component analysis
(1)
neural network optimization
(1)
text-to-image generation
(1)
Papers
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
ACL 2026
Learning by Analogy: A Causal Framework for Compositional Generalization
CVPR 2026
Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders
ACL 2026
Causal Representation Learning from Multimodal Biomedical Observations
ICLR 2025
Learning Vision and Language Concepts for Controllable Image Generation
ICML 2025
Learning Discrete Concepts in Latent Hierarchical Models
NeurIPS 2024
Towards Understanding Extrapolation: a Causal Lens
NeurIPS 2024
Counterfactual Generation with Identifiability Guarantees
NeurIPS 2023
Identification of Nonlinear Latent Hierarchical Models
NeurIPS 2023
Multi-domain image generation and translation with identifiability guarantees
ICLR 2023
Understanding Masked Autoencoders via Hierarchical Latent Variable Models
CVPR 2023
Partial disentanglement for domain adaptation
ICML 2022
Consensus Control for Decentralized Deep Learning
ICML 2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
EMNLP 2021
Ensemble Distillation for Robust Model Fusion in Federated Learning
NeurIPS 2020
Extrapolation for Large-batch Training in Deep Learning
ICML 2020