Xiangchen Song
14 papers · 2021–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π₯
Mega-Team Β· Squad
π
Renaissance Researcher
(6)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(74)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types
(7)
Core Methods
(5)
Natural Language Processing
(4)
Deep Learning
(3)
Knowledge & Reasoning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Methods
(2)
Reasoning
(2)
Healthcare & Medicine
(1)
Keywords
latent variable
(3)
time series
(2)
representation learning
(2)
causal inference
(2)
causal discovery
(2)
concept representation
(1)
named entity recognition
(1)
sequence labeling
(1)
question answering
(1)
relation extraction
(1)
variational inference
(1)
fine-grained classification
(1)
optimal transport
(1)
prompt learning
(1)
knowledge base
(1)
weak supervision
(1)
semantic matching
(1)
temporal sequence
(1)
covariance matrix
(1)
probabilistic modeling
(1)
Papers
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
ACL 2026
Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders
ACL 2026
On the Identification of Temporal Causal Representation with Instantaneous Dependence
ICLR 2025
Reflection-Window Decoding: Text Generation with Selective Refinement
ICML 2025
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
ICLR 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
ICML 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NeurIPS 2024
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
ICLR 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity
NeurIPS 2023
Creating Training Sets via Weak Indirect Supervision
ICLR 2022
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision
EMNLP 2021
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
NAACL 2021
Taxonomy Completion via Triplet Matching Network
AAAI 2021