Cheng Tang
11 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(51)
π
Century Club Β· Bronze
β
The Questioner
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Natural Language Processing
(2)
Applications Β· Natural Language Processing
(2)
Core AI
(2)
Learning Types
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications Β· Reinforcement Learning
(1)
Architectures
(1)
Keywords
large language model
(2)
lloyd's algorithm
(2)
retrieval-augmented generation
(2)
multimodal large language model
(2)
online learning
(1)
non-convex optimization
(1)
stochastic gradient descent
(1)
principal component analysis
(1)
offline reinforcement learning
(1)
online clustering
(1)
k-means clustering
(1)
global convergence
(1)
unsupervised feature learning
(1)
markov decision process
(1)
document ranking
(1)
ensemble learning
(1)
random sampling
(1)
generalization error
(1)
low-rank matrix
(1)
value iteration
(1)
Papers
chengtang at SemEval-2026 Task 7: A Retrieval-Augmented Generation Framework for Cultural Perspective Alignment in Everyday MCQs
SemEval 2026
CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices
AAAI 2026
EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrieval
CVPR 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
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
MICCAI 2025
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
ICML 2025
Exponentially convergent stochastic k-PCA without variance reduction
NeurIPS 2019
When do random forests fail?
NeurIPS 2018
Convergence Rate of Stochastic k-means
AISTATS 2017
On Lloydβs Algorithm: New Theoretical Insights for Clustering in Practice
AISTATS 2016