Kang Yang
10 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (6)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(22)
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Conference Pioneer
Conferences
NIPS (3)
AAAI (2)
ICML (2)
IJCAI (2)
ACL (1)
Top co-authors
Keywords
transformer model
(2)
partial differential equation
(2)
deep neural network
(2)
physics-informed neural network
(2)
manifold learning
(1)
prompt learning
(1)
flow matching
(1)
adversarial attack
(1)
operator learning
(1)
decision boundary
(1)
parameter-efficient tuning
(1)
latent diffusion
(1)
adversarial example
(1)
shadow model
(1)
3d point cloud
(1)
model acceleration
(1)
matrix multiplication
(1)
point source
(1)
dirac delta function
(1)
uncertainty weighting
(1)
Papers
SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis
AAAI 2026
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
ACL 2026
An Efficient Private GPT Never Autoregressively Decodes
ICML 2025
ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
ICML 2025
Nimbus: Secure and Efficient Two-Party Inference for Transformers
NIPS 2024
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
NIPS 2024
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
NIPS 2022
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training
IJCAI 2022
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
IJCAI 2022
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}
AAAI 2019