← Authors

Xinshuai Dong

28 papers · 2020–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (45) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (79) πŸ”₯ Unstoppable (6) ❓ The Questioner πŸ’Ž Century Club (28)

Conferences

ICLR (6) ICML (6) NIPS (6) AAAI (2) ACL (2) AISTATS (2) ECCV (2) EMNLP (2)

Top co-authors

Kun Zhang (15) Anh Tuan Luu (11) Ignavier Ng (9) Xiaobao Wu (9) Peter Spirtes (8) Biwei Huang (5) Thong Nguyen (5) Yujia Zheng (5) Haoyue Dai (5) Cong-Duy Nguyen (4)

Keywords

representation learning (3) topic modeling (2) neural topic model (2) contrastive learning (2) adversarial robustness (2) temporal modeling (2) latent variable (2) temporal language grounding (2) latent factor (2) temporal sequence (1) sparse representation (1) source separation (1) text classification (1) optimal transport (1) natural language processing (1) catastrophic forgetting (1) adversarial training (1) text representation (1) parameter-efficient transfer learning (1) independent component analysis (1)

Papers

Type Information-Assisted Self-Supervised Knowledge Graph Denoising AISTATS 2025
Causal Representation Learning from General Environments under Nonparametric Mixing AISTATS 2025
A Sample Efficient Conditional Independence Test in the Presence of Discretization ICML 2025
When Selection Meets Intervention: Additional Complexities in Causal Discovery ICLR 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
Latent Variable Causal Discovery under Selection Bias ICML 2025
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion ACL 2024
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning ECCV 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models NIPS 2024
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables ICLR 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability ICLR 2024
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning NIPS 2024
Score-Based Causal Discovery of Latent Variable Causal Models ICML 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024
Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024
Temporally Disentangled Representation Learning under Unknown Nonstationarity NIPS 2023
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity NIPS 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling AAAI 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction ACL 2023
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
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning EMNLP 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention ICML 2022
Towards Robustness Against Natural Language Word Substitutions ICLR 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NIPS 2021
API-Net: Robust Generative Classifier via a Single Discriminator ECCV 2020