Cheng Tang
9 papers · 2016–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (9)
π
Cross-Pollinator
(10)
π
Interdisciplinary Bridge
β
The Questioner
Conferences
AISTATS (2)
NIPS (2)
AAAI (1)
ACL (1)
COLING (1)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
lloyd's algorithm
(2)
transformer architecture
(1)
stochastic gradient descent
(1)
online learning
(1)
non-convex optimization
(1)
spectral clustering
(1)
ensemble learning
(1)
principal component analysis
(1)
online clustering
(1)
k-means clustering
(1)
global convergence
(1)
unsupervised feature learning
(1)
random sampling
(1)
document ranking
(1)
generalization error
(1)
low-rank matrix
(1)
convergence rate
(1)
decision tree
(1)
multimodal large language model
(1)
exponential convergence
(1)
Papers
CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices
AAAI 2026
MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images
ACL 2026
Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
COLING 2025
Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization
ICML 2025
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
MICCAI 2025
Exponentially convergent stochastic k-PCA without variance reduction
NIPS 2019
When do random forests fail?
NIPS 2018
Convergence Rate of Stochastic k-means
AISTATS 2017
On Lloydβs Algorithm: New Theoretical Insights for Clustering in Practice
AISTATS 2016