Xinshuai Dong
30 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π§¬
Topic Evolution
π€
Dynamic Duo
(16)
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Triple Crown
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Deep Specialist
(11)
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Bronze
β
The Questioner
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(142)
Top co-authors
Research topics
Machine Learning
(19)
Artificial Intelligence
(18)
Core AI
(18)
Deep Learning
(11)
Learning Types Β· Machine Learning
(11)
Core Methods
(10)
Knowledge & Reasoning
(7)
Reasoning
(7)
Natural Language Processing
(6)
Learning Types Β· Deep Learning
(6)
Optimization & Theory
(5)
Applications
(4)
Architectures
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic
(3)
Keywords
latent variable
(6)
causal discovery
(4)
representation learning
(4)
adversarial robustness
(3)
contrastive learning
(3)
neural topic model
(3)
latent factor
(2)
discretization
(2)
conditional independence
(2)
selection bia
(2)
word substitution
(2)
temporal modeling
(2)
causal structure
(2)
topic modeling
(2)
adversarial training
(2)
causal representation learning
(2)
temporal language grounding
(2)
source separation
(1)
text classification
(1)
natural language processing
(1)
Papers
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
ACL 2026
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
A Sample Efficient Conditional Independence Test in the Presence of Discretization
ICML 2025
Causal Representation Learning from General Environments under Nonparametric Mixing
AISTATS 2025
Latent Variable Causal Discovery under Selection Bias
ICML 2025
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
ICML 2025
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
ICLR 2025
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
AISTATS 2025
When Selection Meets Intervention: Additional Complexities in Causal Discovery
ICLR 2025
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
ICLR 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NeurIPS 2024
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
NeurIPS 2024
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
ECCV 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
ACL 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
AAAI 2024
Score-Based Causal Discovery of Latent Variable Causal Models
ICML 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024
Topic Modeling as Multi-Objective Contrastive Optimization
ICLR 2024
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
EMNLP 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization
ICML 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
ACL 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
AAAI 2023
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
NeurIPS 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity
NeurIPS 2023
Certified Robustness Against Natural Language Attacks by Causal Intervention
ICML 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
EMNLP 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
NeurIPS 2021
Towards Robustness Against Natural Language Word Substitutions
ICLR 2021
API-Net: Robust Generative Classifier via a Single Discriminator
ECCV 2020