Tianyu Chen
20 papers · 2021–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Conference Polyglot (10)
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Conference Polyglot
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(16)
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Prolific Year
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Conferences
AAAI (5)
NIPS (4)
ACL (3)
ICML (2)
ACML (1)
AISTATS (1)
CVPR (1)
EACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
large language model
(3)
causal inference
(2)
causal discovery
(2)
structural causal model
(2)
attention mechanism
(2)
named entity recognition
(2)
diffusion model
(2)
mixture of expert
(2)
knowledge distillation
(2)
causal mechanism shift
(2)
sentiment analysis
(2)
parameter-efficient fine-tuning
(2)
vision-language model
(2)
image captioning
(1)
text classification
(1)
chain-of-thought reasoning
(1)
data augmentation
(1)
reinforcement learning
(1)
machine translation
(1)
neural network optimization
(1)
Papers
GeoNum: Bridging Numerical Continuity and Language Semantics via Geometric Embedding
AAAI 2026
Fine-Tuned LLMs Know They Donβt Know: A Parameter-Efficient Approach to Recovering Honesty
AAAI 2026
Towards Long-window Anchoring in Vision-Language Model Distillation
AAAI 2026
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
AAAI 2026
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
CVPR 2025
Conditional diffusions for amortized neural posterior estimation
AISTATS 2025
Automated Proof Generation for Rust Code via Self-Evolution
ICLR 2025
OmniArch: Building Foundation Model for Scientific Computing
ICML 2025
PINNsAgent: Automated PDE Surrogation with Large Language Models
ICML 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
IJCAI 2025
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
ACL 2024
EFSA: Towards Event-Level Financial Sentiment Analysis
ACL 2024
Towards Editing Time Series
NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
NIPS 2024
Identifying General Mechanism Shifts in Linear Causal Representations
NIPS 2024
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
NIPS 2023
MoEC: Mixture of Expert Clusters
AAAI 2023
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
ACL 2022
Relation Also Need Attention: Integrating Relation Information Into Image Captioning
ACML 2021
Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings
EACL 2021