Fengzhuo Zhang
12 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Grand Slam
ποΈ
Keyword Collector
(62)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(5)
Reinforcement Learning
(4)
Methods
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Learning Types
(3)
Computer Vision
(2)
Generation
(2)
Models
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
large language model
(4)
speculative decoding
(4)
inference acceleration
(2)
nash equilibrium
(2)
key-value cache
(2)
autoregressive generation
(1)
in-context learning
(1)
structure learning
(1)
relational reasoning
(1)
attention mechanism
(1)
bayesian model averaging
(1)
partially observable markov decision process
(1)
generalization error
(1)
model-based reinforcement learning
(1)
conditional mutual information
(1)
efficient computing
(1)
robust estimation
(1)
graphon estimation
(1)
generalization bound
(1)
stochastic reward
(1)
Papers
Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation
AAAI 2026
Error Analyses of Auto-Regressive Video Diffusion Models
JMLR 2026
LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
ACL 2026
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
ICML 2025
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs
ACL 2025
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
AISTATS 2025
When Attention Sink Emerges in Language Models: An Empirical View
ICLR 2025
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
ICML 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
JMLR 2024
Learning Regularized Monotone Graphon Mean-Field Games
NeurIPS 2023
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NeurIPS 2022
Robustifying Algorithms of Learning Latent Trees with Vector Variables
NeurIPS 2021